Hesitant Fuzzy Consensus Reaching Process for Large-Scale Group Decision-Making Methods by Wei Liang, Álvaro Labella, Meng-Jun Meng, Ying-Ming Wang, Rosa M. Rodríguez

“…First, HFSs and Normal-type Hesitant Fuzzy Sets (N-HFSs) are introduced to integrate evaluators’ subgroup and collective opinions, aiming to preserve as much decision information as possible while reducing computational complexity. …”
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Appropriate Selection for Numbers of neurons and layers in a Neural Network Architecture: A Brief Analysis by Asif Aziz, Talha Khan, Umar Iftikhar, Irfan Tanoli, Asif khalid Qureshi

“…The recognition of the effective neural network model in terms of accuracy and precision in results as well as in terms of computational resources is very crucial in the community of the computer scientists. …”
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Offshore Horizons: HVDC Wind Farms-Exploring Techno-Economic Dimensions by Deepi Singh, Dana Golden, Gaurav Bhansali, Ali Anwar, Shreepooja Singh, Fang Luo, Yiyi Zhou

“…It begins with an in-depth economic analysis, evaluating cost-effectiveness, reliability, and market dynamics, focusing on investment, operational costs, and lifecycle expenses. …”
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A Comprehensive Overview and Analysis of Large Language Models: Trends and Challenges by Ammar Mohammed, Rania Kora

“…Furthermore, it reviews the wide-ranging applications of LLMs and evaluates the methodologies used to evaluate their effectiveness.…”
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Methods of a Priori Statistical Analysis of Disturbed Motion of Aircraft in Turbulent Environments by Alexander S. Ermilov, Olga A. Saltykova

“…Further research could focus on improving the adaptability of models for different types of aircrafts, taking into account the optimization of computational methods to reduce computational complexity. …”
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MDPruner: Meta-Learning Driven Dynamic Filter Pruning for Efficient Object Detection by Lingyun Zhou, Xiaoyong Liu

“…Filter pruning is a potent technique for diminishing the computational demands of Convolutional Neural Networks (CNNs), while effectively retaining model performance in image categorization tasks. …”
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Solution to the Eigenvalue Problem of Rectangular Waveguides with Partial Dielectric Filling by Fourier Transform by I. G. Mironenko, S. S. Sokolov, A. A. Ivanov

“…The desired value can be found using the method of Fourier transform, which allows the propagation constant in a regular rectangular waveguide with partial filling with a dielectric to be determined and its channeling properties in various wavelength ranges to be evaluated. Aim. Construction of a computational model for calculating a regular waveguide with an arbitrary arrangement of the dielectric on the cross section by the Fourier method, determination of the dispersion characteristics of the analyzed structures in the millimeter wavelength range.Materials and methods. …”
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Optimizing Particle Density for Accurate Wave Simulation: A Comparative Study of Non-Breaking and Breaking Wave Conditions by Thi-Quynh Nguyen, Kyong-Hwan Kwon, Chang-Wook Park, Kwang-Ho Lee

“…Simulations were conducted using various particle densities, or particles per wavelength, to evaluate their impact on simulation accuracy and computational efficiency. …”
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The effect of the surface recombination velocity on 2D thermoelastic semiconductor solid sphere problem by H. Sherief, M. Fayik, A. Abd El-Latief, M. Naim Anwar, A.M. Tawfik, A. Elsayed

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Vision Transformer and Language Model Based Radiology Report Generation by Mashood Mohammad Mohsan, Muhammad Usman Akram, Ghulam Rasool, Norah Saleh Alghamdi, Muhammad Abdullah Aamer Baqai, Muhammad Abbas

“…Recent advancements in transformers exploited computer vision problems which results in state-of-the-art models. …”
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Comparing the Performance of Pre-trained Deep Learning Models in Object Detection and Recognition by Omar Ibrahim Obaid, Mazin Mohammed, Akbal Omran Salman, Salama A. Mostafa, Ahmed Elngar

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Understanding contraceptive switching rationales from real world clinical notes using large language models by Brenda Y. Miao, Christopher Y. K. Williams, Ebenezer Chinedu-Eneh, Travis Zack, Emily Alsentzer, Atul J. Butte, Irene Y. Chen

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Associations between Screen Time and Factors Related to Dental Caries in Children: A Cross-Sectional Study by Karen Cassano, Mariana Leonel Martins, Gabriella Fernandes Rodrigues, Andréa Fonseca-Gonçalves

“…Multiple regression models evaluated associations between socioeconomic/demographic factors and TV/computer times/UFC. …”
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Bending quasi-static and fatigue behaviour of Norway spruce wood using experimental approach and FEM analysis by Branko Nečemer, Jure Fakin, Srečko Glodež, Matjaž Šraml, Jernej Klemenc, Gorazd Fajdiga

“…A computational model was developed and calibrated in the computational simulation by comparing the mechanical responses in both radial and tangential wood fibre orientation. …”
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Beauty hadron spectrum in a screened potential model by Raghavendra Kaushal, Bhaghyesh

“…The mass spectrum of bbb baryons are evaluated under the diquark-quark model. The excited masses are computed by considering various radial and orbital excitations of the diquark as well as the diquark-quark system.…”
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A cost-effective approach using generative AI and gamification to enhance biomedical treatment and real-time biosensor monitoring by Abdullah Ayub Khan, Asif Ali Laghari, Majed Alsafyani, Abdullah M. Baqasah, Natalia Kryvinska, Ahmad Almadhor, Roobaea Alroobaea, Michal Gregus

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spaMGCN: a graph convolutional network with autoencoder for spatial domain identification using multi-scale adaptation by Tianjiao Zhang, Hongfei Zhang, Zhongqian Zhao, Saihong Shao, Yucai Jiang, Xiang Zhang, Guohua Wang

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Accurate Time-to-Target Forecasting for Autonomous Mobile Robots by Stefan-Alexandru Precup, Arpad Gellert, Alexandru Matei, Bogdan-Constantin Pirvu, Constantin-Bala Zamfirescu

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Explainable AI-Based Skin Cancer Detection Using CNN, Particle Swarm Optimization and Machine Learning by Syed Adil Hussain Shah, Syed Taimoor Hussain Shah, Roa’a Khaled, Andrea Buccoliero, Syed Baqir Hussain Shah, Angelo Di Terlizzi, Giacomo Di Benedetto, Marco Agostino Deriu

“…Multiple pretrained CNN models were evaluated, with Xception emerging as the optimal choice for its balance of computational efficiency and performance. …”
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Hybrid Capsule Network for precise and interpretable detection of malaria parasites in blood smear images by Bader Alawfi

“…A novel composite loss function—integrating margin, focal, reconstruction, and regression losses—was employed to enhance classification accuracy, spatial localization, and robustness to class imbalance and annotation noise. The model was evaluated on four benchmark malaria datasets (MP-IDB, MP-IDB2, IML-Malaria, MD-2019) and assessed for both intra- and cross-dataset performance.ResultsHybrid CapNet achieves superior accuracy with significantly reduced computational cost (1.35M parameters, 0.26 GFLOPs), rendering it suitable for mobile diagnostic applications. …”
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