Application of SVM, FFNNs, k-NN and Their Ensembles for Identifying Functionally Reliable Systems by Oleg Barabash, Andriy Makarchuk, Pavlo Open’ko, Serhii Korotin

“…Recently, interest in machine learning methods as a means of optimizing various computations has grown significantly. …”
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The impact of social security systems on public health outcomes: an economic perspective on machine translation applications by Shuhua Niu, Weihua Li, Li-Li

“…However, traditional methods for evaluating these systems often fail to capture the complex dynamics of policy interventions over time.MethodsTo address this, we propose an advanced economic policy modeling framework that integrates dynamic optimization techniques with machine translation applications. …”
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Evaluation of the Impact of External Conditions on Arm Positioning During Punches in MMA Fighters: A Comparative Analysis of 2D and 3D Methods by Dariusz Skalski, Magdalena Prończuk, Petr Stastny, Kinga Łosińska, Miłosz Drozd, Michal Toborek, Piotr Aschenbrenner, Adam Maszczyk

“…These findings highlight the complementary use of 2D and 3D motion capture methods, supporting individualized monitoring, adaptive technique evaluation, and performance optimization in combat sports.…”
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Addressing Disruption Risks in Location-Inventory Problems for Perishable Products through Lateral Transshipment by Ahmad Mohammadpour Larimi, Babak Shirazi, Iraj Mahdavi

“…A multi-objective optimization model is developed, focusing on minimizing costs while maximizing resilience and service levels. …”
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Decentralized Nonstationary Fuzzy Neural Network with Meta-Learning-Net by Zhen Zhang, Meiling Yu, Hui Jia

“…The nonstationary fuzzy neural network (NFNN) has proven to be an effective and interpretable tool in machine learning, capable of addressing uncertainty problems similarly to type-2 fuzzy neural networks, while offering reduced computational complexity. …”
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Physics-Informed Decoupled Calibration for Fourier Ptychographic Microscopy by Mingdi Liu, Junzhao Liang, Yanxiong Wu, Zicong Luo, Rui Xie, Jiaxiong Luo, Lisong Yan

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The trunk segmental motion complexity and balance performance in challenging seated perturbation among individuals with spinal cord injury by Mianjia Shan, Chenhao Li, Jiayi Sun, Haixia Xie, Yan Qi, Wenxin Niu, Ming Zhang

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Hybrid Population-Based Hill Climbing Algorithm for Generating Highly Nonlinear S-boxes by Oleksandr Kuznetsov, Nikolay Poluyanenko, Kateryna Kuznetsova, Emanuele Frontoni, Marco Arnesano

“…This paper introduces the hybrid population-based hill-climbing (HPHC) algorithm, a novel approach for generating cryptographically strong S-boxes that combines the efficiency of hill climbing with the exploration capabilities of population-based methods. The algorithm achieves consistent generation of 8-bit S-boxes with a nonlinearity of 104, a critical threshold for cryptographic applications. …”
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A hybrid two stage Taguchi-regression-NSGA II-AHP-GRA, multi-objective optimization framework for sustainable straight slot milling of AZ31 magnesium alloy by M. Atif Saeed, Faraz Junejo, Imran Amin, Irfan Khan Tanoli, Abeer D. Algarni, Sadique Ahmad, Abdelhamied A. Ateya

“…By integrating Taguchi's method, stepwise regression, NSGA-II, AHP, and Grey Relational Analysis (GRA), the framework systematically optimizes machining parameters. …”
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Digital Transformation in Water Utilities: Status, Challenges, and Prospects by Neil S. Grigg

“…Their digital transformation journeys are evident in business practices, operations, and asset management, including methods like decision support systems, SCADA systems, digital twins, and process optimization. …”
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Generating a Set of Reference Images for Reliable Condition Monitoring of Critical Infrastructure using Mobile Robots by Sotnikov O., Tymochko O., Bondarchuk S., Dzhuma L., Rudenko V., Mandryk Ya., Surkov K., Palonyi A., Olizarenko S.

“…This reduces the amount of computation and extends the operating time of mobile robots while maintaining accuracy. The significance of the obtained results consists in the possibility of solving a complex task of forming a set of reference images, depending on the information content and stochastic conditions of sighting of critical infrastructure objects. …”
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Development of Automatic Balancing Application forFashion Company Using Artificial Intelligence by May Alrasheed, Mohamed Jmali, Thouraya Hamdi

“…Balancing systems must optimise precise criteria while sticking to constraints. Preserving balance needs precise parameters that align theoretical and practical production results. …”
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A Framework for Sustainability Performance Measurement Through Process Mining: Integration of GRI Metrics in Operational Processes by Ourania Areta Hiziroglu, Onur Dogan

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Model for evaluation of technical and economic indicators of offshore wind farms by D. Y. Davydov, S. G. Obukhov

“…The solution to this problem is possible by increasing efficiency while reducing costs as much as possible, which requires optimal design of offshore wind farms.GOAL. …”
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Application of Mixed-Integer Linear Programming Models for the Sustainable Management of Vine Pruning Residual Biomass: An Integrated Theoretical Approach by Leonel J. R. Nunes

“…Efficient biomass logistics play a key role in supporting circular bioeconomy principles by improving resource utilization and reducing operational costs. <i>Methods</i>: Two optimization approaches are evaluated: a base MILP model designed for scenarios with single processing points and an advanced model that incorporates intermediate processing steps to enhance logistical efficiency. …”
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The Impacts of Water Policies and Hydrological Uncertainty on the Future Energy Transition of the Power Sector in Shanxi Province, China by Xingtong Chen, Jijian Lian, Qizhong Guo

“…Hydrological time series analysis methods are employed to project future water resource variations in Shanxi Province and evaluate their implications for power system optimization. …”
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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

“…Additionally, we delve into several noteworthy research directions in NAS methods including one/two-stage NAS, one-shot NAS and joint hyperparameter with architecture optimization. …”
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Detection of water surface targets based on improved Deformable DETR by Pengjiu WANG, Junbin Gong, Wei LUO, Xiao HUANG, Junjie GUO

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An overview of distributed economic dispatch of microgrids: advances and challenges by Lei Sun, Wenjing An, Yangkai Chen, Peifeng Zhao, Derui Ding

“…Economic dispatch (ED) is necessary to achieve optimal power allocation while meeting practical physical constraints and ensuring economic benefits and production safety. …”
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Advanced Heart Disease Prediction Through Spatial and Temporal Feature Learning with SCN-Deep BiLSTM by Vivek Pandey, Umesh Kumar Lilhore, Ranjan Walia

“…Abstract Heart disease prediction using machine learning methods faces various challenges, such as low data quality, missing irrelevant values, and underfit and overfit problems, which increase the time complexity and degrade the model's prediction performance. …”
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