Enhancing stroke prediction models: A mixing of data augmentation and transfer learning for small-scale dataset in machine learning by Imam Tahyudin, Ade Nurhopipah, Ades Tikaningsih, Puji Lestari, Yaya Suryana, Edi Winarko, Eko Winarto, Nazwan Haza, Hidetaka Nambo

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MORIX: Machine learning-aided framework for lethality detection and MORtality inference with eXplainable artificial intelligence in MAFLD subjects by Domenico Lofù, Paolo Sorino, Tommaso Colafiglio, Caterina Bonfiglio, Rossella Donghia, Gianluigi Giannelli, Angela Lombardi, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci

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Achieving stepwise construction of cyber physical systems in EX-MAN component model by Tauseef Rana, Ayesha Maqbool, Toqir A. Rana, Alina Mirza, Zeshan Iqbal, Muhammad Attique Khan, Majed Alhaisoni, Abdullah Alqahtani, Ye Jin Kim, Byoungchol Chang

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Missing values imputation using Fuzzy K-Top Matching Value by Azza Ali, Mervat Abu-Elkheir, Ahmed Atwan, Mohammed Elmogy

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Efficient Phase-Field Modeling of Quasi-Static and Dynamic Crack Propagation Under Mechanical and Thermal Loadings by Lotfi Ben Said, Hamdi Hentati, Mohamed Turki, Alaa Chabir, Sattam Alharbi, Mohamed Haddar

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Automated multi-model framework for malaria detection using deep learning and feature fusion by Osama R. Shahin, Hamoud H. Alshammari, Raed N. Alabdali, Ahmed M. Salaheldin, Neven Saleh

“…The results demonstrated superior performance, achieving an accuracy of 96.47%, sensitivity of 96.03%, specificity of 96.90%, precision of 96.88%, and F1-score of 96.45% using the majority voting ensemble. Comparative analysis highlights the framework’s advancements over existing methods in diagnostic reliability and computational efficiency. …”
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The Transparency Challenge in Blockchain-Enabled Sustainable Development Goals Applications: Exploring Privacy-Preserving Techniques and Emerging Platforms by Ahcene Bounceur, Ahmed-Sami Berkani, Hamouma Moumen, Saber Benharzallah

“…This work aims to provide critical insights into how blockchain technology can be effectively adapted to support sustainable development while safeguarding sensitive data.…”
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Privacy-Conducive Data Ecosystem Architecture: By-Design Vulnerability Assessment Using Privacy Risk Expansion Factor and Privacy Exposure Index by Ionela Chereja, Rudolf Erdei, Daniela Delinschi, Emil Pasca, Anca Avram, Oliviu Matei

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A Supervised Approach for Land Use Identification in Trento Using Mobile Phone Data as an Alternative to Unsupervised Clustering Techniques by Manuel Mendoza-Hurtado, Gonzalo Cerruela-García, Domingo Ortiz-Boyer

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CNN-Based Object Recognition and Tracking System to Assist Visually Impaired People by Fahad Ashiq, Muhammad Asif, Maaz Bin Ahmad, Sadia Zafar, Khalid Masood, Toqeer Mahmood, Muhammad Tariq Mahmood, Ik Hyun Lee

“…Moreover, a score-based quantitative comparative analysis is performed using the supported features of devices. …”
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OdNER: NER resource creation and system development for low-resource Odia language by Tusarkanta Dalai, Anupam Das, Tapas Kumar Mishra, Pankaj Kumar Sa

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Metastable Substructure Embedding and Robust Classification of Multichannel EEG Data Using Spectral Graph Kernels by Rashmi N. Muralinath, Vishwambhar Pathak, Prabhat K. Mahanti

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Evaluating the Nuclear Reaction Optimization (NRO) Algorithm for Gene Selection in Cancer Classification by Shahad Alkamli, Hala Alshamlan

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Performance Comparison of Vertex Block Descent and Position Based Dynamics Algorithms Using Cloth Simulation in Unity by Jun Ma, Nak-Jun Sung, Min-Hyung Choi, Min Hong

“…This paper presents a comparative study of the Vertex Block Descent (VBD) and Position-Based Dynamics (PBD) algorithms, focusing on their performance in physical simulation tasks. …”
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Stylistically Lowered Lexical Units in Metaphors and Similes in Different Narrative Types (Based on the Material of Modern Russian Prose) by Zoya Yur’evna Petrova, Natalia Aleksandrovna Fateeva

“…A distinctive feature of recent times as compared with previous literary periods is noted, such as the presence of computer jargon in modern texts. …”
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A lightweight neural attention-based model for service chatbots by Sinarwati Mohamad Suhaili, Mohamad Nazim Jambli

“…This lightweight attention mechanism addresses key limitations of existing attention mechanisms. Future work may extend this approach by combining it with transformer-based architectures to support broader sequence prediction tasks, including machine translation, recommender systems, and image captioning.…”
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Nanoantennas and metasurfaces tailored by electron beam lithography and substrate conductivity by Li Liu, Aaron Holzer, Neal Raney, Viktoriia E. Babicheva

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Enhancing EEG-Based Emotion Detection with Hybrid Models: Insights from DEAP Dataset Applications by Badr Mouazen, Ayoub Benali, Nouh Taha Chebchoub, El Hassan Abdelwahed, Giovanni De Marco

“…We provide a detailed analysis of its computational efficiency and compare it with existing methods, demonstrating its feasibility for real-world applications. …”
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Numerical and experimental justification of transcatheter aortic valve prosthesis design by E. A. Ovcharenko, K. U. Klyshnikov, A. A. Shilov, N. A. Scheglova, T. V. Glushkova, D. V. Nushtaev, L. S. Barbarash

“…Numerical computer models of a developed aortic valve prosthesis intended for transcatheter implantation, as well as prototypes of the most promising concepts for a series of field tests, were used in the work. …”
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Neural signals, machine learning, and the future of inner speech recognition by Adiba Tabassum Chowdhury, Ahmed Hassanein, Aous N. Al Shibli, Youssuf Khanafer, Mohannad Natheef AbuHaweeleh, Shona Pedersen, Muhammad E. H. Chowdhury

“…Building on prior literature, this work synthesizes and organizes existing ISR methodologies within a structured mathematical framework, reviews cognitive models of inner speech, and presents a detailed comparative analysis of existing ML approaches, thereby offering new insights into advancing the field.…”
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