Managing IoT and Mass Communication in 6G: Strategies for Low Latency Real-Time Applications through Proximity-Based Request Handling by Fariborz Rasouli

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Deep Learning-Based Portfolio Management: Empirical Study of Listed Shares on the Indonesian Stock Exchange by Grace Citra Dewi, Patrick Villanueva, Sutanto Hidayat, Elysabeth Christy Diandra Selano

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Integrating petrophysical data into efficient iterative cluster analysis for electrofacies identification in clastic reservoirs by Mohammed A. Abbas, Watheq J. Al-Mudhafar, Aqsa Anees, David A. Wood

“…The utilization of the EM algorithm for electrofacies classification/cluster analysis is innovative. …”
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AutoML: A systematic review on automated machine learning with neural architecture search by Imrus Salehin, Md. Shamiul Islam, Pritom Saha, S.M. Noman, Azra Tuni, Md. Mehedi Hasan, Md. Abu Baten

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State Estimation in Power Systems Under False Data Injection Attack Using Total Least Squares by Bamrung Tausiesakul, Krissada Asavaskulkiet, Chuttchaval Jeraputra, Ittiphong Leevongwat, Thamvarit Singhavilai, Supun Tiptipakorn

“…For the problem size solvability point of view, the traditional low-rank methods suffer from the trivial solution caused by too many unknown convex optimization variables due to a large number of time samples, whereas the proposed TLS-based algorithms can handle a large power distribution system with a large number of time samples.…”
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Integrating vision transformer-based deep learning model with kernel extreme learning machine for non-invasive diagnosis of neonatal jaundice using biomedical images by M. Eliazer, Sibi Amaran, K. Sreekumar, A. Vikram, Gyanendra Prasad Joshi, Woong Cho

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Distributed Energy Management for Ship-Integrated Energy System Under Marine Environmental Risk Field by Yuxin Zhang, Yang Xiao, Tieshan Li

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BERT Mutation: Deep Transformer Model for Masked Uniform Mutation in Genetic Programming by Eliad Shem-Tov, Moshe Sipper, Achiya Elyasaf

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Transformer based models with hierarchical graph representations for enhanced climate forecasting by T. Bhargava Ramu, Raviteja Kocherla, G. N. V. G. Sirisha, V. Lakshmi Chetana, P. Vidya Sagar, R. Balamurali, Nanditha Boddu

“…The model integrates three key components: Spatial-Temporal Fusion Module (STFM) to capture spatiotemporal dependencies, Hierarchical Graph Representation and Analysis (HGRA) to model structured climate relationships, and Dynamic Temporal Graph Attention Mechanism (DT-GAM) to enhance temporal feature extraction. To improve computational efficiency and feature selection, we introduce a hybrid optimization approach (HWOA-TTA) that combines the Whale Optimization Algorithm (WOA) and Tiki-Taka Algorithm (TTA). …”
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Determination of Pipe Diameters for Pressurized Irrigation Systems Using Linear Programming and Artificial Neural Networks by Ezgi Kurtulmuş, Ferhat Kurtulmuş, Hayrettin Kuşçu, Bilge Arslan, Ali Osman Demir

“…Most of the current optimization techniques for pipe diameter selection are based on linear, non-linear, and dynamic programming models. …”
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Minimization Electric Losses in Transistor DC Drives by Kovalov V., Kovalova Yu.

“…An algorithm was proposed for determining the optimal switching frequency of the PWM: 1) on computer models of the DC motor and PWM, the dependences of dynamic electrical losses on the switching frequency were determined; 2) the graph was built showing the dependence of the total dynamic electric losses, on which the point was determined of minimum losses, which corresponds to the optimal value of the switching frequency. …”
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Dynamic content-cached satellite selection and routing for power minimization in LEO satellite networks by Jeongmin Seo, Dongho Ham, Jeongho Kwak

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Expedited re-design of multi-band passive microwave circuits using orthogonal scaling directions and gradient-based tuning by Slawomir Koziel, Anna Pietrenko-Dabrowska, Ubaid Ullah

“…Achieving this necessitates the utilization of numerical optimization methods. Nonetheless, if the intended frequencies are distant from the ones at the starting point, local search procedures tend to fail, whereas global search algorithms are computationally expensive. …”
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Human resource management model based on multi-objective differential evolution and multi-skill scheduling by Yanxia Dong, Tiantian Lu

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An Enhanced Generative Adversarial Network Prediction Model Based on LSTM and Attention for Corrosion Rate in Pipelines by Pujun Long, Mi Liang, Hongjian Chen, Qin Yang

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The Hydrodynamic Performance of a Vertical-Axis Hydro Turbine with an Airfoil Designed Based on the Outline of a Sailfish by Aiping Wu, Shiming Wang, Chenglin Ding

“…Through Latin hypercube experimental design combined with optimization algorithms, four key geometric variables governing the airfoil’s hydrodynamic characteristics were systematically analyzed. …”
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Demystifying multiple sclerosis diagnosis using interpretable and understandable artificial intelligence by Chadaga Krishnaraj, Khanna Varada Vivek, Prabhu Srikanth, Sampathila Niranjana, Chadaga Rajagopala, Palkar Anisha

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A Sufficient Descent Property for a Different Parameter to Enhance Three-Term Method by Ghada Al-Naemi, Samaa Al-bakri

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Reinforcement learning for vehicle-to-grid: A review by Hongbin Xie, Ge Song, Zhuoran Shi, Jingyuan Zhang, Zhenjia Lin, Qing Yu, Hongdi Fu, Xuan Song, Haoran Zhang

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Progress and future direction of independently developed reservoir numerical simulation software in Shengli Oilfield by ZHANG Zhiqiang, YANG Yaozhong, ZHANG Shiming, YU Jinbiao, CAO Weidong, HU Huifang

“…Through continuous technological innovation and functional optimization， Shengli Oilfield’s reservoir numerical simulation software will strengthen its competitiveness， providing robust support for the efficient development of complex reservoirs.…”
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