CDBR: A semi-automated collaborative execute-before-after dependency-based requirement prioritization approach by Ankita Gupta, Chetna Gupta

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Predictive Analytics in Maternal Health: A Machine Learning Approach for Classification of Preeclampsia by Pakiza Amin, Saima Gulzar Ahmad, Hikmat Ullah Khan, Ehsan Ullah Munir, Naeem Ramzan

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Real-Time Facial Expression Recognition Based on Image Processing in Virtual Reality by Qingzhen Gong, Xuefang Liu, Yongqiang Ma

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Advancing Road Safety Through Intelligent Vehicle Accident Detection and Reporting Enabled by IoT Innovation by Rahat Ullah Khattak, Abdullah

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Non-invasive PNET grading using CT radiomics and machine learning by Faeze Salahshour, Mahsa Taherzadeh, Ghasem Hajianfar, Gholamreza Bayat, Farid Azmoudeh Ardalan, Soroush Bagheri, Arman Esmailzadeh, Majid Kahe, Sajad P. Shayesteh

“…Machine learning-based medical image analysis has emerged as a promising approach for improving clinical decision-making. The purpose is to determine the most effective machine learning method and phase of CT scan to provide clinicians with an efficient tool for accurately identifying pathological grades of pancreatic neuroendocrine tumours (PNET). …”
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Discernibility in explanations: Designing more acceptable and meaningful machine learning models for medicine by Haomiao Wang, Julien Aligon, Julien May, Emmanuel Doumard, Nicolas Labroche, Cyrille Delpierre, Chantal Soulé-Dupuy, Louis Casteilla, Valérie Planat-Benard, Paul Monsarrat

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Predicting Engine Emissions Using Eco-Friendly Fuels for Sustainable Transportation by İdris Cesur, Beytullah Eren

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Glucose interpretation meaning and action (GIMA): Insights to blood glucose user interface interpretation in type 1 diabetes by Rujiravee Kongdee, Bijan Parsia, Hood Thabit, Simon Harper

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Deep Learning in motion analysis for false start detection in speedway racing by Jacek Krakowian, Łukasz Jeleń

“…Manual detection methods, often dependent on the judgment of race officials, are prone to errors and subjectivity, leading to inconsistencies in decision-making. This paper introduces an automated approach that leverages computer vision methods to enhance detection precision. …”
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Enhancing Liver Cirrhosis Diagnosis Using Machine Learning With Explainable AI and Cross-Validated Hyperparameter Tuning Techniques by Koteswara Rao Makkena, Karthika Natarajan

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Nuclear Power Plant Instrumentation Fault Detection Using Fuzzy Logic by Keith E. Holbert, Kang Lin

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Evaluation of the Cyber-Physical System State Under Destructive Impact Conditions Based on a Comprehensive Analysis of Parameters by Anton Mogilny, Elena Basan, Alexey Nekrasov

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A weighted fuzzy inference method and application on wheel damage analysis by QingE Wu, Fan Wu, Bofeng Zhang, Shaojing Song

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The application of cybersecurity in smart city innovations: an AI aspect by Нараян Чандра Натх, Омар Фарук

“…The system improves efficiency, decision-making, and robotics using AI and ML. This relationship boosts the economy, green behavior, and citizens' lives. …”
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Exploring the potentialities and challenges of deep learning for simulation and prediction of urban sprawl features by Ange Gabriel Belinga, Stéphane Cedric Tékouabou Koumetio, Mohamed El Haziti

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On $ \left(\mathit{p}, \mathit{q}\right) $-fractional linear Diophantine fuzzy sets and their applications via MADM approach by Hanan Alohali, Muhammad Bilal Khan, Jorge E. Macías-Díaz, Fahad Sikander

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A systematic study on PM2.5 and PM10 concentration prediction in air pollution using machine learning and deep learning model by Pranshu Patel, Swara Patel, Kanish Shah, Kedar Desai, Samrat Patel, Manan Shah, Samir Patel

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Advanced biomedical imaging for identifying blood cell type: Integrating segmentation, feature extraction, and GraphSAGE model by Nur Mohammad Fahad, Mohaimenul Azam Khan Raiaan, Arefin Ittesafun Abian, Ripon Kumar Debnath, Sidratul Montaha, Mirjam Jonkman, Sami Azam

“…A comparative analysis with benchmark models is done to assess the effectiveness of the model. The explainability of the model is addressed to enhance the transparency of the diagnostic system and provide insight into the decision-making process. …”
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Empowering nurse leaders: leveraging financial management practices to foster sustainable healthcare – a mixed-methods study by Hossam Ali Ismail, Mohamed Hashem Kotp, Hassan Ahmed Awad Basyouny, Aliaa Ezz Eldin Abd Elmoaty, Abdelaziz Hendy, Rasha Kadri Ibrahim, Sally Mohammed Farghaly Abdelaliem, Ahmed Hendy, Mohamed Ahmed Aly

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Semantic Web in Healthcare: A Systematic Literature Review of Application, Research Gap, and Future Research Avenues by A. K. M. Bahalul Haque, B. M. Arifuzzaman, Sayed Abu Noman Siddik, Abul Kalam, Tabassum Sadia Shahjahan, T. S. Saleena, Morshed Alam, Md. Rabiul Islam, Foyez Ahmmed, Md. Jamal Hossain

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