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Smart and adaptive website navigation recommendations based on reinforcement learning

Improving website structures is the main task of a website designer. In recent years, numerous web engineering researchers have investigated navigation recommendation systems. Page recommendation systems are critical for mobile website navigation. Accordingly, we propose a smart and adaptive navigation recommendation system based on reinforcement learning. In this system, user navigation history is used as the input for reinforcement learning model. The model calculates a surf value for each page of the website; this value is used to rank the pages. On the basis of this ranking, the website structure is modified to shorten the user navigation path length. Experiments were conducted to evaluate the performance of the proposed system. The results revealed that user navigation paths could be decreased by up to 50% with training on 12 months of data, indicating that users could more easily find a target web page with the help of the proposed adaptive navigation recommendation system.




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Diabète : trois grands rendez-vous à Nîmes cette semaine - Midi Libre

  1. Diabète : trois grands rendez-vous à Nîmes cette semaine  Midi Libre
  2. Journée mondiale du diabète : un dépistage gratuit près du Havre ce jeudi 14 novembre  actu.fr
  3. Orange. Des actions pour la journée du diabète et le mois sans tabac  Le Dauphiné Libéré
  4. Santé - Diabète et bien-être : une journée de prévention organisée à Guéret  La Montagne










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Premiers résultats de la grande enquête nationale « Contexte des sexualités en France 2023 - Inserm (salle de presse)

  1. Premiers résultats de la grande enquête nationale « Contexte des sexualités en France 2023  Inserm (salle de presse)
  2. La sexualité des Français a connu de gros changements en dix ans  L'Union
  3. Plus de partenaires, pratiques variées, numérique... Une grande étude dévoile les dessous de la sexualité...  BFMTV
  4. La vie sexuelle des Français, une journée spéciale sur France Inter, jeudi 14 novembre 2024  France Inter







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Former B.C. premier John Horgan dies aged 65, after third bout of cancer - National Post

  1. Former B.C. premier John Horgan dies aged 65, after third bout of cancer  National Post
  2. Adam Pankratz: John Horgan wasn't your typical NDP premier  National Post
  3. John Horgan: Reluctant leader became B.C.'s most-loved premier  Vancouver Sun
  4. Premier’s statement on the passing of John Horgan  BC Gov News
  5. UBC political scientist remembers former B.C. premier John Horgan’s legacy  CBC.ca




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Même dans le chrono, Thomas résiste au temps

Tom Dumoulin.
Dans la vingtième étape, un contre-la-montre sélectif entre Saint-Pée-sur-Nivelle et Espelette (31 km), victoire du Néerlandais Tom Dumoulin, une toute petite seconde devant Chris Froome, qui récupère sa marche sur le podium. Troisième de l’étape, le Gallois Geraint Thomas remporte son premier Tour de France.

Sur la route du Tour, envoyé spécial.
D’abord il plut sur les routes du pays basque, ensuite l’asphalte se réchauffa avant de sécher sommairement comme pour favoriser les ...




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Paris : Imaginons les Places de demain. Et si on s’occupait des rues d’aujourd’hui ?

A gauche, Barbès. A droite, la nouvelle Place du Panthéon. Aux mêmes heures !
C’est une vaste opération lancée depuis 2015 par la Mairie de Paris. «Donner plus de place à celles et ceux qui ont envie de vivre dans une ville plus pacifiée, avec moins de voitures et moins de stress» selon les mots d'Anne Hidalgo. Sept grandes places parisiennes vont être « réinventées » : ...




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Elections communales 2024 - Mark Demesmaeker tête de liste N-VA à Hal pour les communales de 2024

(Belga) L'ex-député européen Mark Demesmaeker, désormais sénateur coopté N-VA, sera la tête de liste du parti nationaliste pour les élections communales d'octobre 2024 à Hal (Brabant flamand), a-t-il indiqué lundi, confirmant des informations de presse.

M. Demesmaeker est conseiller communal à Hal depuis 2007 et y a été échevin durant six ans. La N-VA a terminé à deux reprises, lors des scrutins communaux de 2012 et 2018, comme premier parti de la commune. M. Demesmaeker a affirmé lundi toujours avoir cette ambition. "Nous avons une équipe jeune et soudée, avec expertise et vision. Je vise une progression", a-t-il dit. Il s'est dit convaincu que le changement de législation en Flandre - qui prévoit que le plus grand parti dispose d'un droit d'initiative pour former une coalition communale et que le candidat du plus grand groupe ayant recueilli le plus de voix de préférence devienne bourgmestre - lui offre un solide avantage. "Nous avons de bonnes chances, a-t-il souligné. L'élu nationaliste a affirmé vouloir se concentrer sur des thèmes comme l'urbanisation de Hal et la politique en matière de langue, en évoquant la "francisation de la ville". (Belga)




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L'intérêt pour l'actu remonte mais la méfiance est toujours là

Regain d'intérêt pour l'actualité, méfiance toujours vive, place croissante des réseaux sociaux: ce sont quelques-uns des enseignements du baromètre annuel sur la confiance des Français dans les médias publié lundi par le journal La Croix.

. Actu: le rebond

Fait marquant de ce baromètre réalisé depuis 1987: le regain d'intérêt pour l'actualité. 76% des sondés (1.500 majeurs interrogés par internet ou téléphone selon la méthode des quotas) disent la suivre "avec un grand intérêt", contre 62% l'an passé.

"C'est le cinquième plus haut niveau en 35 ans", a souligné Jean-Christophe Ploquin, rédacteur en chef de La Croix, lors d'une conférence de presse. Cette proportion est cependant moindre chez les moins de 35 ans (66%).

En outre, quatre sondés sur dix disent s'intéresser davantage à l'actu qu'il y a quelques années. Cela coïncide avec "une actualité riche en 2022" (Ukraine, présidentielle en France...) après la période du Covid, a commenté Guillaume Caline, de l'institut Kantar Public, qui réalise ce baromètre.

C'est toutefois à nuancer par le fait qu'un sondé sur cinq (21%) s'y intéresse moins qu'avant, et même un sur trois (33%) chez les moins de 35 ans.

Et la moitié des sondés (51%) ressent "souvent de la lassitude" envers l'actualité, la fameuse "fatigue informationnelle" pointée par plusieurs études récemment.

. Trop ou pas assez ?

Le Mondial de football au Qatar (pour 48% des sondés), la mort de la reine d'Angleterre (43%) et la pénurie de carburant (40%): voilà les trois sujets dont les médias ont trop parlé en 2022.

A l'inverse, 51% jugent que les médias n'ont pas assez parlé du débat sur la fin de vie. Selon M. Caline, cela montre "l'intérêt des Français pour les sujets susceptibles de les toucher directement".

Le traitement de la guerre en Ukraine suscite des avis partagés: 41% pensent que les médias en ont parlé au juste niveau et 38% qu'ils en ont trop parlé.

. La télé centrale

Journaux télé, radio, chaînes info, sites internet, quotidiens papier, réseaux sociaux: chaque jour, les Français utilisent en moyenne près de 4 canaux pour s'informer.

Mais, dans cette "multiplicité des sources d'info", la télé "garde une place centrale", selon M. Caline. Ainsi, les JT sont le canal que les sondés privilégient pour s'informer au quotidien, quel que soit l'âge (35% sur l'ensemble du panel).

Chez les 18-24 ans, les réseaux sociaux arrivent deuxièmes, alors que cette place est occupée par les chaînes info dans toutes les autres classes d'âge.

. Méfiance, toujours

Même si le jugement est moins sévère que l'an dernier, la perte de confiance reste une tendance de fond. Plus de la moitié des sondés (54%) pense que, "la plupart du temps, il faut se méfier de ce que disent les médias sur les grands sujets d'actualité".

Pour autant, "ce réflexe de méfiance" existe surtout quand on considère les médias "de manière globale", en tant qu'"institution", a pondéré M. Caline: "Pris isolément, c'est bien moins négatif".

Ainsi, parmi les sondés qui s'informent via les JT, 73% leur font confiance. Cette proportion est aussi de 73% pour la radio, 66% pour les quotidiens nationaux mais seulement 46% pour les émissions d'actualité et de divertissement à la télé et 40% pour les influenceurs.

Par ailleurs, l'image des journalistes reste dégradée: 59% des sondés pensent qu'ils ne résistent pas aux pressions politiques et 56% à celles de l'argent.

. Jeunes et réseaux

Les réseaux sociaux "ont fait leur trou" comme source d'information, "notamment chez les plus jeunes", a noté M. Ploquin. Toutes générations confondues, 35% des sondés les utilisent quotidiennement dans ce but.

Paradoxalement, seuls 36% de ceux qui s'informent sur les réseaux leur font confiance.

Et le rapport à cette source d'information met en évidence "un fort clivage générationnel", selon M. Caline.

Ainsi, après 35 ans, 6 sondés sur 10 pensent que la diffusion sur les réseaux d'informations par "des personnes qui ne sont pas des médias ou des journalistes" est une mauvaise chose.

Une proportion qui s'inverse chez les plus jeunes: la moitié des moins de 35 ans juge au contraire que c'est une bonne chose.




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Insurrection à Washington - Assaut du Capitole: des membres de la milice Oath Keepers reconnus coupables de "sédition"

(Belga) Quatre membres de la milice d'extrême droite "Oath Keepers" ont été reconnus coupables lundi de sédition pour leur rôle dans l'assaut du Capitole, à l'issue du second procès organisé sur ce chef d'accusation extrêmement rare.

Depuis l'attaque du 6 janvier 2021, plus de 950 partisans de l'ex-président républicain Donald Trump ont été arrêtés et inculpés pour avoir semé le chaos dans le siège de la démocratie américaine. Parmi eux, seuls 14 militants de groupuscules d'extrême droite - neuf membres des "Oath Keepers" et cinq "Proud Boys" - ont été accusés de "sédition", un chef passible de 20 ans de prison qui implique d'avoir planifié l'usage de la force pour s'opposer au gouvernement. Faute de place suffisante dans le tribunal fédéral de Washington, la justice a organisé le procès des Oath Keepers, accusés de s'être entraînés et armés pour l'occasion, en deux temps. Un premier procès s'est conclu fin novembre par un verdict mitigé: le fondateur de cette milice, Stewart Rhodes, et un responsable local ont été déclarés coupables de sédition, mais leurs trois co-accusés ont été acquittés sur ce chef. Lundi, à l'issue du second procès, les jurés ont jugé coupables les quatre derniers Oath Keepers, des hommes âgés de 38 à 64 ans décrits comme de dangereux "traîtres" par l'accusation, mais comme des "fanfarons" par leurs avocats. Le procès des Proud Boys, dont leur leader Enrique Tarrio, s'est ouvert en décembre et était toujours en cours lundi, dans le même tribunal. (Belga)




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Le changement climatique, facteur aggravant du trafic d'êtres humains

(Belga) La multiplication des désastres météorologiques, qui pousse sur les routes des millions de personnes, est aujourd'hui l'une des "causes principales" du trafic d'êtres humains, selon un rapport onusien publié mardi, évoquant également les risques posés par la guerre en Ukraine.

"Le changement climatique accroît la vulnérabilité au trafic", souligne cette étude de l'Office des Nations unies contre la drogue et le crime (ONUDC), basée sur la collecte des données de 141 pays sur la période 2017-2020 et l'analyse de 800 affaires judiciaires. Au fil du temps, "des régions entières vont devenir inhabitables", ce qui "affecte de manière disproportionnée" les communautés pauvres vivant essentiellement de l'agriculture ou de la pêche. Elles se retrouvent "privées de leurs moyens de subsistance et contraintes de fuir leur communauté", devenant une proie facile pour les trafiquants, a expliqué à la presse en amont de la publication Fabrizio Sarrica, auteur principal du texte. Rien qu'en 2021, les catastrophes climatiques ont provoqué le déplacement interne de plus de 23,7 millions de personnes, tandis que de nombreux autres ont dû partir à l'étranger. Le rapport cite des typhons dévastateurs aux Philippines, ou encore le Bangladesh, particulièrement exposé aux cyclones et tempêtes. Dans les deux pays, une hausse des cas de trafic a été constatée, avec par exemple l'organisation de "larges campagnes de recrutement" pour piéger dans le travail forcé les plus démunis. Le Ghana, victime de sécheresses et d'inondations, et la région des Caraïbes, soumise aux ouragans et à la montée du niveau de la mer, sont aussi en première ligne. Autre terrain propice au trafic, les conflits armés. Si l'Afrique est de loin le continent le plus touché, l'instance onusienne pointe une situation potentiellement "dangereuse" en Ukraine, tout en saluant les mesures prises par les pays de l'Union européenne pour accueillir et protéger les millions de réfugiés. (Belga)




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Big Brother is Watching But He Doesn’t Understand: Why Forced Filtering Technology on the Internet Isn’t the Solution to the Modern Copyright Dilemma

by Mitchell Longan[1] Introduction The European Parliament is currently considering a proposal to address problems of piracy and other forms of copyright infringement associated with the digital world.[2] Article 13 of the proposed Directive on Copyright in the Digital Single




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En pleine crise du covid-19, l'Assemblᅵe change les rᅵgles des CDD et prᅵcarise un peu plus les salariᅵs

L'information est ᅵ lire sur le site de Mediapart : le 15 mai, alors que l'Assemblᅵe est en train de voter la poursuite de l'ᅵtat d'urgence sanitaire, les dᅵputᅵs de la Rᅵpublique en...




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La Semaine politique : la France a dᅵtruit ses masques, un ex-collaborateur de Vᅵran a cherchᅵ ᅵ en vendre (et quelques autres infos)

Vous n'avez pas eu le temps de lire Le Canard enchaᅵnᅵ, Mediapart, Le Monde, Arrᅵt sur images et tous les autres titres de presse ? On s'en charge pour vous.




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Journᅵes parlementaires, campus rᅵgionaux : La Rᅵpublique en marche va dᅵpenser prᅵs d'un million d'euros pour sa rentrᅵe

C'est la rentrᅵe politique. Et qui dit rentrᅵe, dit universitᅵ d'ᅵtᅵ. Cette annᅵe, la Rᅵpublique en marche a vu les choses en grand en organisant ᅵ la fois des journᅵes...




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La justice stoppe une enquᅵte potentiellement gᅵnante sur Jean Castex, trois jours aprᅵs sa nomination comme Premier ministre

Hasard du calendrier ou volontᅵ de prᅵserver le nouveau Premier ministre ? Selon Mediapart, une enquᅵte judiciaire ouverte par le parquet de Perpignan, potentiellement gᅵnante pour Jean Castex, a ᅵtᅵ...




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Selon Le Canard enchaᅵnᅵ, le gouvernement Castex est le plus coᅵteux de l'histoire de la Ve Rᅵpublique (185 millions d'euros par an)

L'information est passᅵe inaperᅵue mais elle ne manque pas de sel. Alors que la gestion de la crise du covid-19 par le gouvernement est trᅵs contestᅵe (au retard dans la livraison de masques s'ajoute...




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Pᅵle emploi a organisᅵ un sᅵminaire au Stade de France pour 300 000 euros

Le retour de Politique.net mᅵritait bien de commencer par une fᅵte. Selon Le Canard enchaᅵnᅵ, "le 17 juin, Pᅵle emploi Il-de-France s'est offert un sᅵminaire managers au Stade de France pour communier...




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An effectiveness analysis of enterprise financial risk management for cost control

This paper aims to analyse the effectiveness of cost control oriented enterprise financial risk management. Firstly, it analyses the importance of enterprise financial risk management. Secondly, the position of cost control in enterprise financial risk management was analysed. Cost control can be used to reduce the operating costs of enterprises, improve their profitability, and thus reduce the financial risks they face. Finally, a corporate financial risk management strategy is constructed from several aspects: establishing a sound risk management system, predicting and responding to various risks, optimising fund operation management, strengthening internal control, and enhancing employee risk awareness. The results show that after applying the proposed management strategy, the enterprise performs well in cost control oriented enterprise financial risk management, with a cost accounting accuracy of 95% and an audit system completeness of 90%. It can also help the enterprise develop emergency plans and provide comprehensive risk management strategy coverage.




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Totems migratoires

La politique est souvent guidée par des marqueurs idéologiques qui manquent de nuances. L'immigration illustre cette polarisation : la gauche prône une générosité aveugle, la droite une sévérité rigide. Le meurtre de Philippine de Carlan relance ce débat. La gestion de l'immigration doit équilibrer humanité et acceptabilité, mais sans sacrifier vérité ni lucidité.




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International Journal of Vehicle Information and Communication Systems




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Data dissemination and policy enforcement in multi-level secure multi-domain environments

Several challenges exist in disseminating multi-level secure (MLS) data in multi-domain environments. First, the security domains participating in data dissemination generally use different MLS labels and lattice structures. Second, when MLS data objects are transferred across multiple domains, there is a need for an agreed security policy that must be properly applied, and correctly enforced for the data objects. Moreover, the data sender may not be able to predetermine the data recipients located beyond its trust boundary. To address these challenges, we propose a new framework that enables secure dissemination and access of the data as intended by the owner. Our novel framework leverages simple public key infrastructure and active bundle, and allows domains to securely disseminate data without the need to repackage it for each domain.




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Secure digital academic certificate verification system using blockchain

At present, there is a need for an authentic and fast approach to certificate verification. Which verifies and authenticates the certificates to reduce the extent of duplicity and time. An academic certificate is significant for students, the government, universities, and employers. Academic credentials play a vital role in the career of students. A few people manipulate academic documents for their benefit. There are cases identified where people produced fake academic certificates for jobs or higher education admission. Various research works are developing a secure model to verify genuine academic credentials. This research article proposed a new security model which contains several security algorithms such as timestamps, hash function, digital signature, steganography, and blockchain. The proposed model issues secure digital academic certificates. It enhanced security measures and automated educational certificate verification using blockchain technology. The advantages of the proposed model are automated, cost-effective, secured, traceable, accurate, and time-saving.




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A robust feature points-based screen-shooting resilient watermarking scheme

Screen-shooting will lead to information leakage. Anti-screen-shooting watermark, which can track the leaking sources and protect the copyrights of images, plays an important role in image information security. Due to the randomness of shooting distance and angle, more robust watermark algorithms are needed to resist the mixed attack generated by screen-shooting. A robust digital watermarking algorithm that is resistant to screen-shooting is proposed in this paper. We use improved Harris-Laplace algorithm to detect the image feature points and embed the watermark into the feature domain. In this paper, all test images are selected on the dataset USC-SIPI and six related common algorithms are used for performance comparison. The experimental results show that within a certain range of shooting distance and angle, this algorithm presented can not only extract the watermark effectively but also ensure the most basic invisibility of watermark. Therefore, the algorithm has good robustness for anti-screen-shooting.




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Modern health solution: acceptance and adoption of telemedicine among Indian women

Access to quality healthcare is a fundamental right but unfortunately, India suffers from gender disparities in healthcare access. Telemedicine has the potential to improve access to healthcare services for women by eliminating traditional barriers. Therefore, our research aims to investigate the factors influencing the adoption of telemedicine among Indian women. This study has collected 442 responses and analysed them through structural equation modelling. The result indicates a strong and positive connection between the willingness to adopt telemedicine services and factors like performance expectancy, perceived benefits, e-health literacy, and perceived reliability. Notably, perceived reliability emerges as the most impactful predictor, closely followed by perceived benefits, while factors like effort expectancy and user resistance show no significant influence. This underscores the pivotal role of reliability and perceived benefits in shaping women's inclination toward adopting telemedicine. The study provides practical insights for telemedicine providers and policymakers to customise strategies and policies for effective promotion.




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Form 10-K filing lags during COVID-19 pandemic

This study examines Form 10-K filing lags of US firms during the COVID-19 pandemic in 2020-2021. The findings suggest that filing lags relate negatively to firm size, profitability, hiring Big4 auditors, and filing status, but positively to ineffective internal control, ineffective disclosure control, and going concern opinion. Large accelerated and accelerated filers had shorter filing lags, and non-accelerated filers had longer filing lags in 2020-2021 than 2018-2019. Further analysis provides mild evidence that Big4 auditors contributed to the filing lag reduction in 2020-2021, echoing the view that adopting advanced audit technologies allows Big4 auditors to respond better to the external shocks brought by the pandemic.




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Nexus between artificial intelligence and marketing: a systematic review and bibliometric analysis

Although artificial intelligence provides a new method to gather, process, analyse data, generate insights, and offer customised solutions, such methods could change how marketers deal with customers, and there is a lack of literature to portray the application of artificial intelligence in marketing. This study aims to recognise and portray the use of artificial intelligence from a marketing standpoint, as well as to provide a conceptual framework for the application of artificial intelligence in marketing. This study uses a systematic literature review analysis as a research method to achieve the aims. Data from 142 articles were extracted from the Scopus database using relevant search terms for artificial intelligence and marketing. The systematic review identified significant usage of artificial intelligence in conversational artificial intelligence, content creation, audience segmentation, predictive analytics, personalisation, paid ads, sales forecasting, dynamic pricing, and recommendation engines and the bibliometric analysis produced the trend in co-authorship, citation, bibliographic coupling, and co-citation analysis. Practitioners and academics may use this study to decide on the marketing area in which artificial intelligence can be invested and used.




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Springs of digital disruption: mediation of blockchain technology adoption in retail supply chain management

Supply chain management practices are vital for success and survival in today's competitive Indian retail market. The advent of COVID-19 pandemic necessitates a digital disruption in retail supply chain management centred on efficient technology like blockchain in order to enhance supply chain performance. The present research aims to decipher the nature of associations between supply chain management practices, blockchain technology adoption and supply chain performance in retail firms. The research is based on primary survey of specific food and grocery retailers operating on a supermarket format stores in two Indian cities. The findings pointed towards the presence of significant and positive association of all the constructs with each other. Moreover, the mediating role of blockchain technology adoption was also revealed, i.e., it partially mediates the effects of supply chain management practices on supply chain performance.




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Does brand association, brand attachment, and brand identification mediate the relationship between consumers' willingness to pay premium prices and social media marketing efforts?

This study investigates the effects of social media marketing efforts (SMME) on smartphone brand identification, attachment, association, and willingness to pay premium prices. A survey of 320 smartphone users who followed official social media handles managed by smartphone companies was conducted for this purpose. PLS-SEM was used to analyse the collected data. The findings demonstrated importance of SMME dimensions. According to the study's findings, the smartphone brand's SMMEs had significant impact on brand identification, brand association, and brand attachment. The results revealed that SMMEs had significant impact on willingness to pay the premium price. The findings also show that brand identification, attachment, and association mediated the relationship between SMMEs and willingness to pay a premium price. The findings of this study will be useful in developing social media marketing strategies for smartphones. This study demonstrates the use of social media marketing to promote mobile phones, particularly in emerging markets.




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Impacts of social media usage on consumers' engagement in social commerce: the roles of trust and cultural distance

The prevalence of social media transforms e-business into social commerce and facilitates consumers' engagement in cross-cultural social commerce. However, social commerce operations encounter unpredictable challenges in cross-cultural business environment. It is vital to further investigate how contextual elements affect consumers' trust and their engagement when they are exposed to the complexity of cross-cultural business environment. The stimuli-organism-response paradigm is employed to examine how the two dimensions of social media usage influence consumers' engagement in cross-cultural social commerce. The current study surveyed 2,058 samples from 135 countries, and the regression analysis results illustrate the mechanism whereby informational and socialising usage of social media positively influences consumers' engagement in social commerce through consumers' trust toward social commerce websites. Additionally, the associations between two aspects of social media usage and consumers' trust towards social commerce are negatively moderated by cultural distance. Both theoretical and practical implications are also discussed.




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A constant temperature control system for indoor environments in buildings using internet of things

The performance of a building's internal environment, which includes the air temperature, lighting and acoustics, is what determines the quality of the environment inside the building. We present a thermal model for achieving thermal comfort in buildings that makes use of a multimodal analytic framework as a solution to this challenge. In this study, a multimodal combination is used to evaluate several temperature and humidity sensors as well as an area image. Additionally, a CNN and LSTM combination is used to process the image and sensor data. The results show that heating setback and interior set point temperatures, as well as mechanical ventilation based on real people's presence and CO<SUB align=right>2 levels, are all consistently reduced when ICT-driven intelligent solutions are used. The CNN-LSTM model has a goodness of fit that is 0.7258 on average, which is much higher than both the CNN (0.5291) and LSTM (0.5949) models.




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Emotion recognition method for multimedia teaching classroom based on convolutional neural network

In order to further improve the teaching quality of multimedia teaching in school daily teaching, a classroom facial expression emotion recognition model is proposed based on convolutional neural network. VGGNet and CliqueNet are used as the basic expression emotion recognition methods, and the two recognition models are fused while the attention module CBAM is added. Simulation results show that the designed classroom face expression emotion recognition model based on V-CNet has high recognition accuracy, and the recognition accuracy on the test set reaches 93.11%, which can be applied to actual teaching scenarios and improve the quality of classroom teaching.




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Design of traffic signal automatic control system based on deep reinforcement learning

Aiming at the problem of aggravation of traffic congestion caused by unstable signal control of traffic signal control system, the Multi-Agent Deep Deterministic Policy Gradient-based Traffic Cyclic Signal (MADDPG-TCS) control algorithm is used to control the time and data dimensions of the signal control scheme. The results show that the maximum vehicle delay time and vehicle queue length of the proposed algorithm are 11.33 s and 27.18 m, which are lower than those of the traditional control methods. Therefore, this method can effectively reduce the delay of traffic signal control and improve the stability of signal control.




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Multi-agent Q-learning algorithm-based relay and jammer selection for physical layer security improvement

Physical Layer Security (PLS) and relay technology have emerged as viable methods for enhancing the security of wireless networks. Relay technology adoption enhances the extent of coverage and enhances dependability. Moreover, it can improve the PLS. Choosing relay and jammer nodes from the group of intermediate nodes effectively mitigates the presence of powerful eavesdroppers. Current methods for Joint Relay and Jammer Selection (JRJS) address the optimisation problem of achieving near-optimal secrecy. However, most of these techniques are not scalable for large networks due to their computational cost. Secrecy will decrease if eavesdroppers are aware of the relay and jammer intermediary nodes because beamforming can be used to counter the jammer. Consequently, this study introduces a multi-agent Q-learning-based PLS-enhanced secured joint relay and jammer in dual-hop wireless cooperative networks, considering the existence of several eavesdroppers. The performance of the suggested algorithm is evaluated in comparison to the current algorithms for secure node selection. The simulation results verified the superiority of the proposed algorithm.




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QoS-based handover approach for 5G mobile communication system

5G mobile communication systems are an in-depth fusion of multi-radio access technologies characterised with frequent handover between cells. Handover management is a particularly challenging issue for 5G networks development. In this article, a novel optimised handover framework is proposed to find the optimal network to connect with a good quality of service in accordance with the user's preferences. This framework is based on an extension of IEEE 802.21 standard with new components and new service primitives for seamless handover. Moreover, the proposed vertical handover process is based on an adaptive heuristic model aimed at achieving an optimised network during the decision-making stage. Simulation results demonstrate that, compared to other existing works, the proposed framework is capable of selecting the best network candidate accurately based on the quality-of-service requirements of the application, network conditions, mobile terminal conditions and user preferences. It significantly reduces the handover delay, handover blocking probability and packet loss rate.




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International Journal of Agile Systems and Management




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Business intelligence in human management strategies during COVID-19

The spread of COVID-19 results in disruption, uncertainty, complexity, and ambiguity in all businesses. Employees help companies achieve their aims. To manage human resources sustainably, analyse organisational strategy. This thorough research study attempts to find previously unidentified challenges, cutting-edge techniques, and surprising decisions in human resource management outside of healthcare organisations during the COVID-19 pandemic. The narrative review examined corporate human resource management measures to mitigate COVID-19. Fifteen publications were selected for the study after removing duplicates and applying the inclusion and exclusion criteria. This article examines HR's COVID-19 response. Human resource management's response to economic and financial crises has been extensively studied, but the COVID-19 pandemic has not. This paper reviewed the literature to reach its goal. The results followed the AMO framework for human resource policies and procedures and the HR management system. This document suggests COVID-19 pandemic-related changes to human resource management system architecture, policies, and practises. The study created a COVID-19 pandemic human resource management framework based on the literature. The COVID-19 pandemic had several negative effects, including social and behavioural changes, economic shock, and organisational disruption.




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Digitalisation boost operation efficiency with special emphasis on the banking sector

The banking sector has experienced a substantial technological shift that has opened up new and better opportunities for its customers. Based on their technological expenditures, the study assessed the two biggest public Indian banks and the two biggest private Indian banks. The most crucial statistical techniques used to demonstrate the aims are realistic are bivariate correlations and ordinary least squares. This work aims to establish a connection between research and a technology index that serves as a proxy for operational efficiency. The results show that for both public and private banks, the technology index positively influences operational efficiency metrics like IT costs, marketing costs, and compensation costs. This suggests that when the technology index increases, so do IT, marketing, and compensation costs, even though it has been shown that the technology index favourably improves operational efficiency measures like depreciation and printing. This means that the cost to banks is high despite greater investment in technology for these activities.




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E-bidding adoption among SMEs: evidence from an African emerging market

While digitalisation reforms aiming to enhance the quality of public services were put in place, most stakeholders in developing countries still use paper-based-tendering processes, which are associated with increased costs. To overcome these problems, calls to adopt e-bidding have recently emerged. This study aims to explore the readiness of Moroccan SMEs to adopt e-bidding. To achieve this goal, we proposed an integrated framework combining the TAM and UTAUT models to examine the predictors of SMEs' intention to adopt e-bidding. We empirically tested the conceptual model using a partial least squares (PLS) estimation based on data from 210 SMEs. Our results suggest that effort expectancy, facilitating conditions, and social influence as the key factors influencing SMEs intention to adopt e-bidding. We also suggest firm size as a significant moderator. This will help in improving SMEs' user experience and will also allow a better implementation of e-bidding in Morocco and similar contexts.




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Integrating big data collaboration models: advancements in health security and infectious disease early warning systems

In order to further improve the public health assurance system and the infectious diseases early warning system to give play to their positive roles and enhance their collaborative capacity, this paper, based on the big and thick data analytics technology, designs a 'rolling-type' data synergy model. This model covers districts and counties, municipalities, provinces, and the country. It forms a data blockchain for the public health assurance system and enables high sharing of data from existing system platforms such as the infectious diseases early warning system, the hospital medical record management system, the public health data management system, and the health big and thick data management system. Additionally, it realises prevention, control and early warning by utilising data mining and synergy technologies, and ideally solves problems of traditional public health assurance system platforms such as excessive pressure on the 'central node', poor data tamper-proofing capacity, low transmission efficiency of big and thick data, bad timeliness of emergency response, and so on. The realisation of this technology can greatly improve the application and analytics of big and thick data and further enhance the public health assurance capacity.




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Access controllable multi-blockchain platform for enterprise R&D data management

In the era of big data, enterprises have accumulated a large amount of research and development data. Effective management of their precipitated data and safe sharing of data can improve the collaboration efficiency of research and development personnel, which has become the top priority of enterprise development. This paper proposes to use blockchain technology to assist the collaboration efficiency of enterprise R&D personnel. Firstly, the multi-chain blockchain platform is used to realise the data sharing of internal data of enterprise R&D data department, project internal data and enterprise data centre, and then the process of construction of multi-chain structure and data sharing is analysed. Finally, searchable encryption was introduced to achieve data retrieval and secure sharing, improving the collaboration efficiency of enterprise research and development personnel and maximising the value of data assets. Through the experimental verification, the multi-chain structure improves the collaboration efficiency of researchers and data security sharing.




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Human resource management and organisation decision optimisation based on data mining

The utilisation of big data presents significant opportunities for businesses to create value and gain a competitive edge. This capability enables firms to anticipate and uncover information quickly and intelligently. The author introduces a human resource scheduling optimisation strategy using a parallel network fusion structure model. The author's approach involves designing a set of network structures based on parallel networks and streaming media, enabling the macro implementation of the enterprise parallel network fusion structure. Furthermore, the author proposes a human resource scheduling optimisation method based on a parallel deep learning network fusion structure. It combines convolutional neural networks and transformer networks to fuse streaming media features, thereby achieving comprehensive identification of the effectiveness of the current human resource scheduling in enterprises. The result shows that the macro and deep learning methods achieve a recognition rate of 87.53%, making it feasible to assess the current state of human resource scheduling in enterprises.