Classification method based on surf and sift features for alzheimer diagnosis using diffusion tensor magnetic resonance imaging by Nourhan Zayed, Ghaidaa Eldeep, Inas A. Yassine

“…Additionally, we investigate late fusion of visual map features for enhanced decision-making. The experiments were accomplished with a subset of participants from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) dataset formed of AD patients (n = 35), Early Mild Cognitive Impairment (EMCI) (n = 6), Late Mild Cognitive Impairment (LMCI) (n = 24) and cognitively healthy elderly Normal Controls (NC) (n = 31). …”
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Blockchain based solid waste classification with AI powered tracking and IoT integration by Aliaa M. Alabdali

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Machine learning in biomedical and health big data: a comprehensive survey with empirical and experimental insights by Kamal Taha

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WEFE nexus management plan for sustainable development and gender equity in the Matmata region, SE Tunisia by Houda Besser, Afef Mahjoubi, Xenia Theodotou Schneider, Fethi Abdelli, Enrica Caporali, Bianca Maria Rizzo, Fernando Nardi, Fernando Nardi, Mohamed Ouessar

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Feasibility and acceptability of contingency management and problem-solving therapy intervention for enhancing alcohol abstinence: a single-arm, mixed methods pilot clinical trial by Jun Ma, Sangeun Lee, Hagar Hallihan, Kathleen M Rospenda, Yichao Wu, Ruth Adomah, Amanda Knepper

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Ethical Aspects of the Influence of Neural Networks on the Lives of Students in the Context of a Sociological Approach (using the Example of Students of the IT Department of ETU) by A. S. Kurapova, S. V. Kurapov, A. D. Derzhavina, N. V. Shatilo

“…A sociological diagnosis of the students of the Faculty of Computer Technology of ETU was carried out to study the influence of neural networks on their vital decision-making. …”
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Elucidating cognitive processes in cardiac arrest team leaders: a virtual reality-based cued-recall study of experts and novices by Vitaliy Popov, Bryan Harmer, Sophie Raphael, Isabella Scott, Alanson P. Sample, James M. Cooke, Michael Cole

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Developing and validating an artificial intelligence-based application for predicting some pregnancy outcomes: a multi-phase study protocol by Fatemeh Shabani, Ata Jodeiri, Sakineh Mohammad‑Alizadeh‑Charandabi, Fatemeh Abbasalizadeh, Jafar Tanha, Mojgan Mirghafourvand

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Evaluating the performance of herd-specific long short-term memory models to identify automated health alerts associated with a ketosis diagnosis in early-lactation cows by N. Taechachokevivat, B. Kou, T. Zhang, M.E. Montes, J.P. Boerman, J.S. Doucette, R.C. Neves

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An appraisal of fund of funds efficiency based on risk-adjusted performance measures: Application of an augmented WASPAS methodology. by Mostafa Shabani, Ali Khodarahmi, Rouzbeh Ghousi, Emran Mohammadi, Hossein Ghanbari

“…Traditional performance assessment methodologies often fall short in capturing these complexities, leading to potential inefficiencies in decision-making. …”
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Multi-modal and Multi-view Cervical Spondylosis Imaging Dataset by Qi-Shuai Yu, Jing-Yang Shan, Jie Ma, Gan Gao, Ben-Zhang Tao, Guang-Yu Qiao, Jian-Ning Zhang, Ting Wang, Yong-Fei Zhao, Xiao-Lin Qin, Yi-Heng Yin

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Development of an explainable machine learning model for Alzheimer’s disease prediction using clinical and behavioural features by Rajkumar Govindarajan, K. Thirunadanasikamani, Komal Kumar Napa, S. Sathya, J. Senthil Murugan, K. G. Chandi Priya

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An Ensemble Patient Graph Framework for Predictive Modelling from Electronic Health Records and Medical Notes by S. Daphne, V. Mary Anita Rajam, P. Hemanth, Sundarrajan Dinesh

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Exploring Critical Factors of Crowd-Based Requirement Engineering Using Fuzzy DEMATEL-ANP Method by Rida Fatima, Khubaib Amjad Alam, Ansar Siddique, Talha Mahboob Alam, Kamran Shaukat

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Enhancing Precision Beekeeping by the Macro-Level Environmental Analysis of Crowdsourced Spatial Data by Daniels Kotovs, Agnese Krievina, Aleksejs Zacepins

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Human-Centered AI for Migrant Integration Through LLM and RAG Optimization by Dagoberto Castellanos-Nieves, Luis García-Forte

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Tuberculosis detection with customized CNN and oversampling techniques: a deep learning approach by B. H. Shekar, Shazia Mannan

“…Grad-CAM has been applied to interpret the decision-making process of the models and correctly identify the regions of interest. …”
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Proactive Scheduling and Routing of MRP-Based Production with Constrained Resources by Jarosław Wikarek, Paweł Sitek

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Recent Advances in Demand Responsive Transport: Opportunities With Autonomous Bus Service—A System-of-Systems Overview by Sajid Fadlelseed, Pouria Sarhadi, Soodamani Ramalingam, Hock C. Gan, Pandelis Kourtessis, Gav Jackman, Atziri Guadalupe Sanchez Contreras, Javier Guimera Tena, James West, Jack Holland, Alice Missler

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Ensemble Learning-Based Wine Quality Prediction Using Optimized Feature Selection and XGBoost by Sonam Tyagi, Ishwari Singh Rajput, Bhawnesh Kumar, Harendra Singh Negi

“…In this discipline, machine learning decision-making shows potential. High-dimensional data from several sources may impede processing and classification model performance. …”
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