A Hybrid Security Framework for Train-to-Ground (T2G) Communication Using DOA-Optimized BPNN Detection, Bayesian Risk Scoring, and RL-Based Response by Chaoyuan Sun, Weijiao Zhang, Peng Sun, Hui Wang, Chunhui Yang

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THE LATEST TOOLS FOR OPTIMIZING THE TAX REGULATION OF THE INSURANCE BUSINESS by Оксана Десятнюк, Ольга Кнейслер, Наталія Спасів, Ірина Гузела

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Multi-Criteria Optimization of a Standalone Photovoltaic System in Cyprus (Techno-Economic Analysis) by Athina Vogiatzoglou, Konstantinos Alexakis, Dimitris Askounis

“…In the second stage, optimal solutions from the Pareto front are evaluated using three multi-criteria decision-making techniques: the hybrid AHP-TOPSIS method, VIKOR, and PROMETHEE. …”
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Survey of Path Planning for Aerial Drone Inspection of Multiple Moving Objects by Toma Sikora, Vladan Papić

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Analysis of thermoelastic stresses in filament wound composite pressure vessels using evolutionary deep learning and many-objective optimisation by Dominik Vondráček, Zdeněk Padovec, Tomáš Mareš, Nirupam Chakraborti

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Computer-Driven Assessment of Weighted Attributes for E-Learning Optimization by Olga Ovtšarenko, Elena Safiulina

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Multi-objective Windy Postman Problem in a Fuzzy Transportation Network by Debosree PAL, Haresh Kumar SHARMA, Olegas PRENTKOVSKIS, Falguni CHAKRABORTY, Lijana MASKELIŪNAITĖ

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Task Scheduling of Multiple Humanoid Robot Manipulators by Using Symbolic Control by Mete Özbaltan, Nihan Özbaltan, Hazal Su Bıçakcı Yeşilkaya, Murat Demir, Cihat Şeker, Merve Yıldırım

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Memory consolidation from a reinforcement learning perspective by Jong Won Lee, Min Whan Jung, Min Whan Jung

“…From this perspective, memory consolidation functions as a form of offline reinforcement learning, aimed at enhancing adaptive decision-making.…”
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Optimizing credit card fraud detection with random forests and SMOTE by P. Sundaravadivel, R. Augustian Isaac, D. Elangovan, D. KrishnaRaj, V. V. Lokesh Rahul, R. Raja

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A mini review on AI-driven thermal treatment of solid waste: Emission control and process optimization by Dongjie Pang, Cristina Moliner, Tao Wang, Jin Sun, Xinyan Zhang, Yingping Pang, Xiqiang Zhao, Zhanlong Song, Ziliang Wang, Yanpeng Mao, Wenlong Wang

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A Bidding Strategy for Power Suppliers Based on Multi-Agent Reinforcement Learning in Carbon–Electricity–Coal Coupling Market by Zhiwei Liao, Chengjin Li, Xiang Zhang, Qiyun Hu, Bowen Wang

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Revolutionizing Prenatal Care: Harnessing Machine Learning for Gestational Diabetes Anticipation by Sanmugasundaram Ravichandran, Hui-Kai Su, Wen-Kai Kuo, Manikandan Mahalingam, Kanimozhi Janarthanan, Bruhathi Sathyanarayanan, Kabilan Saravanan

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Day-Ahead Scheduling for Economic Dispatch of Combined Heat and Power With Uncertain Demand Response by Seyyed Ebrahim Hosseini, Mojtaba Najafi, Ali Akhavein, Mahdi Shahparasti

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Construction cost prediction model for agricultural water conservancy engineering based on BIM and neural network by Kun Han, Tieliang Wang, Wenhe Liu, Chunsheng Li, Xiaochen Xian, Yingying Yang

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Research on Two-Stage Energy Storage Optimization Configurations of Rural Distributed Photovoltaic Clusters Considering the Local Consumption of New Energy by Yang Liu, Dawei Liu, Keyi Kang, Guanqing Wang, Yanzhao Rong, Weijun Wang, Siyu Liu

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Proposed improvement of product support packaging material defects using the Cross-Industry Standard Process for Data Mining (CRISP-DM) approach by Rina Fitriana, Anik Nur Habyba, Gina Almas Nabiha, Sannia Mareta

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A skipping spectrum sensing scheme based on deep reinforcement learning for transform domain communication systems by Ce Li, Yanhua Wu, Rangang Zhu, Ruochen Wu, Zhengkun Zhang, Zunhui Wang

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The relationship between activities of daily living and speech impediments based on evidence from statistical and machine learning analyses by Liu Jun, Hongguo Li, Yu Mao, Lan Hu, Dan Wu

“…Statistical analyses, including independent sample t-tests, chi-square tests, Pearson and Spearman correlation tests, and hierarchical multiple linear regression, were conducted using SPSS 25.0. Machine learning algorithms, specifically Support Vector Machine (SVM), Decision Tree (DT), and Logistic Regression (LR), were implemented in Python 3.10.2.ResultsAnalysis of demographic characteristics revealed that the average BI score in the “With Speech impediments” group was 49.46, significantly lower than the average score of 85.11 in the “Without Speech impediments” group. …”
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Multi-parameter optimization of layered WS2-polymer nanocomposite under mechanical loading by Elisaveta Kirilova, Tatyana Petrova, Boyan Boaydjiev, Rayka Vladova, Apostol Apostolov, Petia Dineva-Vladikova, Alexander Moravski

“… The aim of the study is to determine the optimal geometry and magnitude of the applied load to ensure safety and prevent delamination in a three-layered nanocomposite structure under axial mechanical loading. …”
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