Acceleration of Urdu Optical Character Recognition on Zynq UltraScale+ MPSoC Using Deep Convolutional Neural Network by Fauzia Yasir, Majida Kazmi

“…Deploying deep learning–based optical character recognition (OCR) systems for low-resource, complex-script languages like Urdu remains a major challenge due to high computational costs, lack of annotated datasets, and limited hardware support for real-time applications. …”
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Exploring the potential of lightweight large language models for AI-based mental health counselling task: a novel comparative study by Ritesh Maurya, Nikhil Rajput, M. G. Diviit, Satyajit Mahapatra, Manish Kumar Ojha

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Enhanced Cleft Lip and Palate Classification Using SigLIP 2: A Comparative Study with Vision Transformers and Siamese Networks by Oraphan Nantha, Benjaporn Sathanarugsawait, Prasong Praneetpolgrang

“…This paper extends our previous work on cleft lip and/or palate (CL/P) classification, which employed vision transformers (ViTs) and Siamese neural networks. …”
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RU-OLD: A Comprehensive Analysis of Offensive Language Detection in Roman Urdu Using Hybrid Machine Learning, Deep Learning, and Transformer Models by Muhammad Zain, Nisar Hussain, Amna Qasim, Gull Mehak, Fiaz Ahmad, Grigori Sidorov, Alexander Gelbukh

“…Of all the ML models—Random Forest (RF), Logistic Regression (LR), Support Vector Machine (SVM), and Naïve Bayes (NB)—the best performance was achieved by the same SVM. …”
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Enhanced YOLOv8 for Robust Pig Detection and Counting in Complex Agricultural Environments by Jian Li, Wenkai Ma, Yanan Wei, Tan Wang

“…Experimental results on a comprehensive dataset spanning diverse agricultural scenarios (nighttime, controlled indoor, and natural daylight environments with density variations from 4 to 30 pigs) demonstrate our method achieves 94.2% mAP@0.5 for detection performance and 96.8% counting accuracy, representing 12.3% and 15.7% improvements compared to the strongest baseline, YOLOv11n. This work enables robust, accurate pig counting across challenging agricultural environments, supporting precision livestock management.…”
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Fast Prediction for Roll Motion of a Damaged Ship Based on SVR by LIU Han, SU Yan, ZHANG Guoqiang

“…ANSYS-AQWA is applied to analyze the rolling motion response of the damaged ship DTMB5415 under various working conditions. The results are compared with those in exiting literature to validate the practicality of the hydrodynamic model. …”
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Impact of Wireless Network Packet Loss on Real-Time Video Streaming Application: A Comparative Study of H.265 and H.266 Codecs by Miran Taha Abdullah, Najmadin Wahid Abdulrahman, Aree Ali Mohammed, Diary Nawzad Hama

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Decision-making on an AI-supported youth mental health app: A multilogue among ethicists, social scientists, AI-researchers, biomedical engineers, young experiential experts, and p... by Dorothee Horstkötter, Mariël Kanne, Simona Karbouniaris, Noussair Lazrak, Maria Bulgheroni, Ella Sheltawy, Laura Giani, Margherita La Gamba, Esmeralda Ruiz Pujadas, Marina Camacho, Finty Royle, Irene Baggetto, Sinan Gülöksüz, Bart Rutten, Jim van Os

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Automatic Classification of Difficulty of Texts From Eye Gaze and Physiological Measures of L2 English Speakers by Javier Melo, Leigh Fernandez, Shoya Ishimaru

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Pasithea-1: An Energy-Efficient Sequential Reconfigurable Array With CPU-Like Programmability by Tobias Kaiser, Esther Gottschalk, Kai Biethahn, Friedel Gerfers

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Technical note: A comparative study of chemistry schemes for volcanic sulfur dioxide in Lagrangian transport simulations – a case study of the 2019 Raikoke eruption by M. Liu, M. Liu, L. Hoffmann, L. Hoffmann, J.-U. Grooß, J.-U. Grooß, Z. Cai, S. Grießbach, S. Grießbach, Y. Heng

“…We consider this work to be an important step forward to support future research on emission source reconstruction involving nonlinear chemical processes.…”
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Evaluating the efficacy of Amanda: A voice-based large language model chatbot for relationship challenges by Laura M. Vowels, Shannon K. Sweeney, Matthew J. Vowels

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A Unified Framework for Alzheimer’s Disease Knowledge Graphs: Architectures, Principles, and Clinical Translation by Jovana Dobreva, Monika Simjanoska Misheva, Kostadin Mishev, Dimitar Trajanov, Igor Mishkovski

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Machine learning-based risk of fall estimation using insole with force sensors while performing a sequence of activities in the TUG test by Clinton Enow Tabi, Johannes C. Ayena, Martin J.-D. Otis

“…Several methods combining biomedical and computer-based approaches have been used to address the risk of falls among the elderly using instrumented insoles. …”
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SANA: Sentiment analysis on newspapers comments in Algeria by Hichem Rahab, Abdelhafid Zitouni, Mahieddine Djoudi

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Detection of Dental Anomalies in Digital Panoramic Images Using YOLO: A Next Generation Approach Based on Single Stage Detection Models by Uğur Şevik, Onur Mutlu

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ON THE EXPEDIENCY AND DIRECTIONS OF IMPROVING THE METHODOLOGY OF TEACHING STUDENTS MATERIAL OF THE CONTENT LINE "FUNCTIONS AND THEIR GRAPHS" by Тетяна Года, Олександр Школьний

“…To improve the methodology of teaching students the material of the content line "Functions and their graphs" it seems natural to use modern computer technologies. Teachers are currently actively using modern electronic tools for teaching mathematics, but need methodological support for their application in the educational process. …”
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Occluded face recognition using optimum features based on efficient preprocessing and machine learning by Rajesh H. Khobragade, Dinesh B. Bhoyar, Ajay Paithane, Suresh Kurumbanshi

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Enhanced Kidney Stone Detection and Classification Using SVM and LBP Features by Hawkar K. Hama, Hamsa D. Majeed, Goran Saman Nariman

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Enhanced Disc Herniation Classification Using Grey Wolf Optimization Based on Hybrid Feature Extraction and Deep Learning Methods by Yasemin Sarı, Nesrin Aydın Atasoy

“…Due to the increasing number of people working at computers in professional settings, the incidence of lumbar disc herniation is increasing. …”
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