Leveraging the Power of Deep Learning Technique for Creating an Intelligent, Context-Aware, and Adaptive M-Learning Model by Muhammad Adnan, Duaa H. AlSaeed, Heyam H. Al-Baity, Abdur Rehman

“…Machine learning (ML) and deep learning (DL) algorithms work well where future estimations and predictions are required. …”
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“Diwan”: Constructing the Largest Annotated Corpus for Arabic Poetry by Badriyya B. Al-Onazi, Wadee A. Nashir, Asma A. Al-Shargabi

“…Currently available poetry corpora are often limited in scope and depth, and typically lack the comprehensive coverage required for sophisticated computational analysis tasks. To address this gap, this paper introduces “Diwan,” the largest and most precise annotated Arabic poetry dataset/corpus, designed to support scientific research and facilitate the development of AI applications in this domain. …”
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An improved multiclass classification of acute lymphocytic leukemia using enhanced glowworm swarm optimization by Saranya N, Kalamani M

“…The ultimate goal of this work is to develop a computer aided automatic classification system to classify Benign, Early, Pro-B and Pre-B classes of ALL. …”
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Application of Image Processing Technology in the Diagnosis of Football Injury by Liyun Xu, Zhubo Xu

“…Then, starting from the relevant image features, the paper analyzes and compares the sensitivity of support vector machine pattern recognition and neural network pattern recognition in football injury diagnosis. …”
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Enhancing Sustainable IoT Systems Through a Goal-Oriented Requirements Analysis Framework by José Alfonso Aguilar-Calderón, Carolina Tripp-Barba, Aníbal Zaldívar-Colado, Pedro Alfonso Aguilar-Calderón, Pablo Alfonso Aguilar-Calderón

“…Furthermore, an empirical evaluation was conducted in a simulated IoT environment, measuring key metrics such as energy consumption, latency, and code-generation error rate. A comparative analysis with existing RE and MDD approaches is also presented to highlight GORA’s advantages in feature coverage, sustainability support, and automation level. …”
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Response Prediction and Experimental Validation of Vibration Noise in the Conveyor Trough of a Combine Harvester by Jianpeng Jing, Guangen Yan, Zhong Tang, Shuren Chen, Runzhi Liang, Yuxuan Chen, Xiaoying He

“…Results indicate that transmitted noise dominates over structural radiation in energy contribution, highlighting it as the primary noise path. This work offers a validated prediction model and supports noise control design for combine harvester conveying troughs.…”
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A fast monocular 6D pose estimation method for textureless objects based on perceptual hashing and template matching by Jose Moises Araya-Martinez, Jose Moises Araya-Martinez, Vinicius Soares Matthiesen, Vinicius Soares Matthiesen, Simon Bøgh, Jens Lambrecht, Rui Pimentel de Figueiredo

“…Our set of experiments on a synthetically generated dataset reveals a trade-off between accuracy and computation time superior to a previous work on the same automotive-production use case. …”
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Sentiment Analysis from Face Expressions Based on Image Processing Using Deep Learning Methods by Orhan Emre Aksoy, Selda Güney

“…In this study, the classification study of human facial expressions in real-time images is discussed. Implementing this work in software have some benefits for us. For example, analysis of mood in group photos is an interesting instance in this regard. …”
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Circular q-rung orthopair fuzzy modeling using Schweizer-Sklar weighted aggregation for water purification strategy selection by Jawad Ali, Ahmad N. Al-Kenani, Ioan-Lucian Popa

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DECELERATION AND DEFORMATION DURING DYNAMIC LOAD OF MODEL LONGITUDINALS - REAL CONDITIONS AND SIMULATION by Damian HADRYŚ, Andrzej KUBIK, Zbigniew STANIK, Bogusław ŁAZARZ

“…The scope of work was adopted on this basis: passive safety, model energy-absorbing elements of steel self-supporting vehicle body, dynamic tests, computer simulations. …”
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Performance Evaluation of YOLOv11 and YOLOv12 Deep Learning Architectures for Automated Detection and Classification of Immature Macauba (<i>Acrocomia aculeata</i>) Fruits by David Ribeiro, Dennis Tavares, Eduardo Tiradentes, Fabio Santos, Demostenes Rodriguez

“…The public release of the VIC01 dataset and trained weights ensures reproducibility and supports future research. Our results underscore the importance of selecting architectures based on application-specific requirements, balancing detection accuracy, background discrimination, and computational constraints. …”
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Building a modern data platform based on the data lakehouse architecture and cloud-native ecosystem by Ahmed AbouZaid, Peter J. Barclay, Christos Chrysoulas, Nikolaos Pitropakis

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Insights into gender-equity in healthcare accessibility in northern Nigeria: descriptive and predictive approaches by Chika Yinka-Banjo, Olasupo Ajayi, Mary Akinyemi, David Tresner-Kirsch, Adekemi Omotubora

“…Descriptive analysis (using Pearson’s and Spearman’s correlation) and predictive analysis (using CATBoost, Random Forest, and Support Vector Machine) were done on the data. The descriptive analysis revealed that women with low income and education levels, and the elderly have a higher chance of accessing healthcare services compared to male and non-binary gender, while the predictive analysis revealed that, using machine learning models, it is possible to predict an individual’s accessibility to healthcare services with up to 81 % accuracy. …”
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Optimizing Cervical Cancer Diagnosis with Feature Selection and Deep Learning by Łukasz Jeleń, Izabela Stankiewicz-Antosz, Maria Chosia, Michał Jeleń

“…These reduced feature sets were evaluated using several classifiers including support vector machines and compared with CNN-based approach, highlighting differences in accuracy and precision. …”
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Polarimetric Identification of 3D-Printed Nano Particle Encoded Optical Codes by Kavan Ahmadi, Pedro Latorre-Carmona, Bahram Javidi, Artur Carnicer

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Genetic algorithm for parameter optimization of supercapacitor model. by Filipe Menezes, Sérgio Cunha, William Assis, Allan Manito, Reinaldo Leite, Thiago Soares, Hugo Lott

“…The present work aims to estimate optimally some parameters of an electrical circuit model of a supercapacitor, in such a way as to obtain responses with very low errors and, thus, be able to use this computational electrical modeling for the development of a Digital Twin system. …”
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An Approach for Leukemia Classification Based on Cooperative Game Theory by Atefeh Torkaman, Nasrollah Moghaddam Charkari, Mahnaz Aghaeipour

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Leveraging Low-Rank Adaptation for Parameter-Efficient Fine-Tuning in Multi-Speaker Adaptive Text-to-Speech Synthesis by Changi Hong, Jung Hyuk Lee, Hong Kook Kim

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SOA Services Identification and Design Methods From Business Models: A Systematic Literature Review by Redouane Blal, Abderrahmane Leshob, Hafedh Mili, Imen Benzarti, Pierre Hadaya, Raqeebir Rab

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A Multi-Stage Progressive Pansharpening Network Based on Detail Injection with Redundancy Reduction by Xincan Wen, Hongbing Ma, Liangliang Li

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