Sex Estimation Through Orbital Measurements: A Machine Learning Approach for Forensic Science by George Triantafyllou, George G. Botis, Maria Piagkou, Konstantinos Papanastasiou, George Tsakotos, Ioannis Paschopoulos, George K. Matsopoulos, Stavroula Papadodima

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Meta-Ensemble Learning for Heart Disease Prediction: A Stacking-Based Approach With Explainable AI by Mehwish Naz, Aqsa Khalid, Abdul Hameed, Rabia Taj, Waleed Mumtaz, Faiz Abdullah Alotaibi, Mrim M. Alnfiai

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Crop Classification and Yield Prediction Using Robust Machine Learning Models for Agricultural Sustainability by Abid Badshah, Basem Yousef Alkazemi, Fakhrud Din, Kamal Z. Zamli, Muhammad Haris

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SHAZAM: Self-Supervised Change Monitoring for Hazard Detection and Mapping by Samuel Garske, Konrad Heidler, Bradley Evans, Kee Choon Wong, Xiao Xiang Zhu

“…This was achieved primarily through a higher recall over other models, while using only 473 K parameters. SHAZAM demonstrates superior mapping capabilities through a higher spatial resolution and the suppression of background features for both immediate and gradual hazards. …”
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Convolutional Autoencoder With Sequential and Channel Attention for Robust ECG Signal Denoising With Edge Device Implementation by Alif Wicaksana Ramadhan, Syifa Kushirayati, Salsabila Aurellia, Mgs M. Luthfi Ramadhan, Muhammad Hannan Hunafa, Muhammad Febrian Rachmadi, Aprinaldi Jasa Mantau, Siti Nurmaini, Satria Mandala, Wisnu Jatmiko

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Diff5T: Benchmarking human brain diffusion MRI with an extensive 5.0 Tesla k-space and spatial dataset by Shanshan Wang, Shoujun Yu, Jian Cheng, Sen Jia, Changjun Tie, Jiayu Zhu, Haohao Peng, Yijing Dong, Jianzhong He, Fan Zhang, Yaowen Xing, Xiuqin Jia, Qi Yang, Qiyuan Tian, Hua Guo, Guobin Li, Hairong Zheng

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Solitary Rectal Ulcer Syndrome: A Cross-sectional Study on Diagnostic Dilemma of the Three-lies Disease by KB Aarthi, Payel Das, Aarti Tyagi, Mini Chaurasia, Priyanka Yadav, Mona Bargotya

“…Aim: To characterise the clinical, endoscopic, demographic and histopathological features of SRUS for early and accurate diagnosis. …”
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Dynamic Characterization of Microscopic Pore Structure in Medium–High Permeability Sandstones During Waterflooding by Jiayi Wu, Wenbo Gong, Qingyu Wang, Yuhang He, Junhui Guo, Yi Bao, Shuai Shao, Rubin Li

“…While previous studies have primarily emphasized the geometric and morphological features of overall pore structures, they often overlook local pore-scale properties and their relationship with fluid transport capacity. …”
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A Comprehensive Overview of Co₃O₄ Nanoparticles: Solution Combustion Synthesis and Potential Applications by Togzhan T. Mashan, Muhammad Hashami, Nurgul S. Bergeneva, Nurgul N. Nurmukhanbetova, Aigul S. Beisebayeva, Meruyert Nazhipkyzy, Gulnar U. Mamatova, Aigerim G. Zhaxybayeva

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Automatic Detection and Classification of Natural Weld Defects Using Alternating Magneto-Optical Imaging and ResNet50 by Yanfeng Li, Pengyu Gao, Yongbiao Luo, Xianghan Luo, Chunmei Xu, Jiecheng Chen, Yanxi Zhang, Genxiang Lin, Wei Xu

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Predictive modeling of oil rate for wells under gas lift using machine learning by Famin Ma, Farag M. A. Altalbawy, Pinank Patel, R. Manjunatha, Rishiv Kalia, Shoira Formanova, P. Raja Naveen, Kamal Kant Joshi, Aashna Sinha, Abdolali Yarahmadi Kandahari, Taqi Mohammed Khattab Al-Rubaye, Mohammad Mahtab Alam

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Software Using in Digital Design Under Hybrid Training by O. L. Akhremchik, A. R. Chabarov

“…The software of the device being developed is considered as a component of a laboratory workshop. A feature of hybrid learning is noted that is associated with the complexity of prototyping and the need to ensure compatibility of project files created online with computer software modules in the university laboratory. …”
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Hydrogeochemical analysis of groundwater quality during the pre- monsoon season of Manipur, India by Rakshita Chaudhary, Nisha Gaur, Mohit Yadav

“…Water samples were collected in 2022 during the pre-monsoon season. To compute the water quality index for drinking water, the basic chemical parameters of total hardness, pH, electrical conductivity, total dissolved solids, Calcium, Sodium, Iron, Magnesium, Manganese, Chlorine, and Hydrogen Carbonate were used. …”
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Decoding communicative action vitality forms in social contexts by Radoslaw Niewiadomski, Radoslaw Niewiadomski, Amrita Suresh, Alessandra Sciutti, Giuseppe Di Cesare, Giuseppe Di Cesare

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Auxiliary identification of depression patients using interpretable machine learning models based on heart rate variability: a retrospective study by Min Yang, Huiqin Zhang, Minglan Yu, Yunxuan Xu, Bo Xiang, Xiaopeng Yao

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Handwritten Urdu Characters and Digits Recognition Using Transfer Learning and Augmentation With AlexNet by Aqsa Rasheed, Nouman Ali, Bushra Zafar, Amsa Shabbir, Muhammad Sajid, Muhammad Tariq Mahmood

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Optimizing Time Series Models for Water Demand Forecasting by Gal Perelman, Yaniv Romano, Avi Ostfeld

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Sinusoidal exponential distribution for modeling elevated creatinine kinase level as the initial presentation of Covid-19 by N. M. Kilany, A. M. Alharpy

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Decoding the m6A epitranscriptomic landscape for biotechnological applications using a direct RNA sequencing approach by Chuwei Liu, Heng Liang, Arabella H. Wan, Min Xiao, Lei Sun, Yiling Yu, Shijia Yan, Yuan Deng, Ruonian Liu, Juan Fang, Zhi Wang, Weiling He, Guohui Wan

“…By combining electrical signal features with base alignment data and employing a weighted Noisy-OR probability mechanism, pum6a achieves enhanced sensitivity and accuracy in m6A detection, particularly in low-coverage loci. …”
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Medical Device Failure Predictions Through AI-Driven Analysis of Multimodal Maintenance Records by Noorul Husna Abd Rahman, Khairunnisa Hasikin, Nasrul Anuar Abd Razak, Ayman Khallel Al-Ani, D. Jerline Sheebha Anni, Prabu Mohandas

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