TEACHER EDUCATION AND FEATURES OF THE CONTEMPORARY EDUCATIONAL CONTEXT by Irina G. Zakharova

“…The purpose of this paper is to study changes in the conditions of the educational process associated with the development of information and communication technologies (ICT).Methods. The main methods of the study were the analysis of scientific publications and regulatory documents, observations, interviews, surveys and questionnaires of students, the data processing, interpretation and analysis.Results. …”
Get full text

Development of data driven machine learning models for the prediction and design of pyrimidine corrosion inhibitors by Aeshah H. Alamri, N. Alhazmi

Get full text

Using machine learning for the assessment of ecological status of unmonitored waters in Poland by Andrzej Martyszunis, Małgorzata Loga, Karol Przeździecki

Get full text

Development of a Technique for Discrete-Logical Decision-Making in Medical Information Systems by Islam A. Alexandrov, Vladimir Zh. Kuklin, Leonid M. Chervyakov, Sergei A. Sheptunov

“…The presented technique aims to steadily increase the level and speed, and demonstrate the feasibility of integrating non-classical logic into the structure of the decision-making system in medical research by using non-classical logic complexes. The main advantage of the proposed approach is that it achieves the necessary level of information criteria; in particular, it provides the required information quality, high reliability of the decision, its value, preserves the amount of information, and searches and decision-making take relatively small-time intervals. …”
Get full text

Integrating Mobile Devices and Wearable Technology for Optimal Sleep Conditions by You-Kwang Wang, Chien-Yu Chen

“…This project uses cloud storage technology and cloud software algorithms to enable data sharing and real-time feedback. …”
Get full text

Artificial Intelligence in Digital Marketing: Towards an Analytical Framework for Revealing and Mitigating Bias by Catherine Reed, Martin Wynn, Robin Bown

“…In the marketing function of today’s leading businesses, two main types of AI can be discerned. Traditional AI centres on supervised learning algorithms to support and enable the application of data rules, predictive functionality and other AI-based features. …”
Get full text

Simultaneous Classification of Objects with Unknown Rejection (SCOUR) Using Infra-Red Sensor Imagery by Adam Cuellar, Daniel Brignac, Abhijit Mahalanobis, Wasfy Mikhael

Get full text

Unveiling the art of video enhancement: a comprehensive examination of content selection and sequencing for optimal quality in conventional and AR/VR environments by Mehrunnisa, Mikolaj Leszczuk, Dawid Juszka

“…Integrating machine learning algorithms into data sets alongside scenario-based criteria can be an essential solution to such problems. …”
Get full text

Intelligent Recognition and Automated Production of Chili Peppers: A Review Addressing Varietal Diversity and Technological Requirements by Sheng Tai, Zhong Tang, Bin Li, Shiguo Wang, Xiaohu Guo

“…The main current research challenges are listed including the environmental adaptability/robustness, efficiency/real-time performance, multi-cultivar adaptability/flexibility, system integration, and cost-effectiveness. …”
Get full text

Global overview of usable Landsat and Sentinel-2 data for 1982–2023Dryad by Katarzyna Ewa Lewińska, Stefan Ernst, David Frantz, Ulf Leser, Patrick Hostert

Get full text

Ethics, Animal Welfare, and Artificial Intelligence in Livestock: A Bibliometric Review by Taize Calvacante Santana, Cristiane Guiselini, Héliton Pandorfi, Ricardo Brauer Vigoderis, José Antônio Delfino Barbosa Filho, Rodrigo Gabriel Ferreira Soares, Maria de Fátima Araújo, Nicoly Farias Gomes, Leandro Dias de Lima, Paulo César da Silva Santos

“…Keyword co-occurrence and bibliographic coupling analyses revealed the formation of four main thematic clusters, covering technical applications in precision livestock farming as well as reflections on governance, animal welfare, and algorithmic justice. …”
Get full text

Dynamic Optimization of Bus Line Schedule in Commuter Corridor Based on Bus IC Card Data by Zhihong Li, Han Xu, Shiyao Qiu, Jun Liu, Kairan Yang, Jiahao Wu

“…To solve the model, a dynamic departure interval optimization method based on improved Genetic Algorithm (GA) was designed under different decision preferences. …”
Get full text

Machine-Learning-Driven Analysis of Wear Loss and Frictional Behavior in Magnesium Hybrid Composites by Barun Haldar, Hillol Joardar, Arpan Kumar Mondal, Nashmi H. Alrasheedi, Rashid Khan, Murugesan P. Papathi

Get full text

A position and wave spectra dataset of Marginal Ice Zone dynamics collected around Svalbard in 2022 and 2023 by Jean Rabault, Catherine Taelman, Martina Idžanović, Gaute Hope, Takehiko Nose, Yngve Kristoffersen, Atle Jensen, Øyvind Breivik, Helge Thomas Bryhni, Mario Hoppmann, Denis Demchev, Anton Korosov, Malin Johansson, Torbørn Eltoft, Knut-Frode Dagestad, Johannes Röhrs, Leif Eriksson, Marina Durán Moro, Edel S. U. Rikardsen, Takuji Waseda, Tsubasa Kodaira, Johannes Lohse, Thibault Desjonquères, Sveinung Olsen, Olav Gundersen, Victor Cesar Martins de Aguiar, Truls Karlsen, Alexander Babanin, Joey Voermans, Jeong-Won Park, Malte Müller

Get full text

Drone-based fault recognition in power systems: a systematic review of intelligent methods by Carlos A. F. Persiani, Felipe M. Sallazar, Roberto S. Inoue, Valdir Grassi, Marco H. Terra, Mário Oleskovicz

“…The identification of literature gaps and future research directions reveals the path for further exploration, including the need for more robust algorithms to improve fault detection accuracy, techniques to mitigate the impact of blurred images, methods for detecting multiple faults simultaneously, advancements in real-time processing, increased automation for field deployment, and the development of more comprehensive and diverse datasets.…”
Get full text

ARKAIV: Predicting Data Exfiltration Using Supervised Machine Learning Based on Tactics Mapping From Threat Reports and Event Logs by Arif Rahman Hakim, Kalamullah Ramli, Muhammad Salman, Bernardi Pranggono, Esti Rahmawati Agustina

“…To optimize model performance, we benchmarked three resampling methods, five feature selection techniques, and five ML algorithms. Our key contributions include the creation of a novel dataset, the comprehensive techniques used to develop the ML model, and the proposed prediction method, which advances existing research. …”
Get full text

Predicting climate-driven shift of the East Mediterranean endemic Cynara cornigera Lindl by Heba Bedair, Heba Bedair, Yehia Hazzazi, Asmaa Abo Hatab, Marwa Waseem A. Halmy, Mohammed A. Dakhil, Mohammed A. Dakhil, Mubaraka S. Alghariani, Mubaraka S. Alghariani, Mari Sumayli, A. El-Shabasy, Mohamed M. El-Khalafy

Get full text

Combating Corruption in Sport: Legal Aspect (Lucha contra la corrupción en el deporte: aspecto legal) by Tetiana Kolomoiets, Maxym Tkalych, Petro Melnyk, Bogdan Panchenko, Yuliia Tolmachevska

“…As a result of the work, a description of the state of research of the problem was given, the main approaches to defining the concept of sports corruption and match-fixing were analyzed, the legal framework (international and national) was characterized, specific examples of corruption offenses and their solution in sports were given. …”
Get full text

Comparing and Combining Artificial Intelligence and Spectral/Statistical Approaches for Elevating Prostate Cancer Assessment in a Biparametric MRI: A Pilot Study by Rulon Mayer, Yuan Yuan, Jayaram Udupa, Baris Turkbey, Peter Choyke, Dong Han, Haibo Lin, Charles B. Simone

“…Recently, a different spectral/statistical approach has been used to successfully evaluate spatially registered biparametric MRIs for prostate cancer. …”
Get full text

A pharmacovigilance study on probiotic preparations based on the FDA Adverse Event Reporting System from 2005 to 2023 by Yitong Wang, Weifu Tan, Xuyang Li, Xuyang Li, Guangli Yang, Guangli Yang, Yunxiao Wang, Yunxiao Wang, Jing Liao, Aner Lu, Guoqing Zhang, Kuidai Chen, Liling Yang, Wei Li

“…It is necessary to pay attention to the potential influence of factors such as gender and age on the effects and adverse reactions of probiotic application in basic research and clinical application.…”
Get full text