A Semi-Distributed Scheme for Mode Selection and Resource Allocation in Device-to-Device-Enabled Cellular Networks Using Matching Game and Reinforcement Learning by Ibrahim Sami Attar, Nor Muzlifah Mahyuddin, M. H. D. Nour Hindia

“…Practically, we propose a centralized approach to address the mode selection and channel assignment problems, employing greedy and matching algorithms, respectively. Moreover, we employed a State-Action-Reward-State-Action (SARSA)-based reinforcement learning (RL) algorithm for a distributed power allocation scheme. …”
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Optimized smart home energy management system: Reducing grid consumption and costs through real-time pricing and hybrid architecture by Abdelrahman O. Ali, Mohamed R. Elmarghany, Ahmed M. Hamed, Mohamed Nabil Sabry, Mohamed M. Abdelsalam

“…The Home Energy Management Whale Optimization Algorithm (HEMWOA) was employed to optimize energy usage and achieve cost reduction while enhancing user comfort. …”
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A configuration and scheduling optimization method for integrated energy systems considering massive flexible load resources by Zihao Wang, Shenhua Wang, Hanwen Ni, Junyin Wang, Jun Zhang

“…The effectiveness of the proposed optimization scheduling and configuration methods was validated through a case study of an industrial park located in a coastal area of southeastern China.Results: The results show that using three-parameter Weibull distribution models and Beta distribution models more accurately reflects the variations in actual wind speeds and solar irradiance levels, achieving peak shaving and valley filling effects and enhancing renewable energy utilization. The EKOA algorithm significantly reduced curtailment rates of wind and solar power generation while achieving substantial economic benefits. …”
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Using Sentinel Imagery for Mapping and Monitoring Small Surface Water Bodies by Mariana Campista Chagas, Ana Paula Falcão, Rodrigo Proença de Oliveira

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Simultaneous Energy Optimization of Heating Systems by Multi-Zone Predictive Control—Application to a Residential Building by Rina Bitar, Nicolas Youssef, Julien Chamoin, Fadi Hage Chehade, Didier Defer

“…By applying this model predictive control on a simulated case, a reduction in energy consumption due to heating is observed while respecting thermal comfort. This work contributes by implementing a method that independently controls temperatures in different building zones simultaneously while applying distinct constraints to each zone. …”
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Artificial intelligence-optimized shield parameters for soft ground tunneling in urban environment: A case study of Bangkok MRT Blue Line by Sahatsawat Wainiphithapong, Chana Phutthananon, Sompote Youwai, Pitthaya Jamsawang, Phattarawan Malaisree, Ochok Duangsano, Pornkasem Jongpradist

“…This integrated framework, which combines the non-dominated sorting genetic algorithm (NSGA-II) with LSTM neural networks, is applied to MOO to identify the optimal SOPs, while accounting for their influence on S variation as a time-series over 11 timesteps, as considered in this study. …”
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Online makespan minimization for MapReduce scheduling on multiple parallel machines by Zheng Quanchang, Zhao Yueyang, Wang Jiahe

“…A job’s map tasks can be arbitrarily split and processed on different machines simultaneously, while its reduce tasks can only be processed after all its map tasks have been completed. …”
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Microcontroller-Driven Battery Management in Hybrid Energy Systems: A Systematic Review of Applications, Control Strategies, and Emerging Trends by Ripfumelo Humphrey Malele, Bongumsa Mendu, Bessie Baakanyang Monchusi

“…To collect documents, a systematic procedure was employed using targeted keywords to search within the Scopus database, while focusing on relevant, recent engineering papers. …”
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Early detection of feline chronic kidney disease via 3-hydroxykynurenine and machine learning by Ellen Vanden Broecke, Laurens Van Mulders, Ellen De Paepe, Dominique Paepe, Sylvie Daminet, Lynn Vanhaecke

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Optimization of Fresh Food Logistics Routes for Heterogeneous Fleets in Segmented Transshipment Mode by Haoqing Sun, Manhui He, Yanbing Gai, Jinghao Cao

“…The k-means++ clustering algorithm is used to determine transshipment points, while an improved adaptive multi-objective ant colony optimization algorithm (IAMACO) is employed to optimize the delivery routes for the heterogeneous fleet. …”
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Leveraging Blockchain Technology With Enhanced MDSVA for Robust Meteorological Sensor Data Validation by Md Abdullah Al Mamun, Mei Li, Bijon Kumar Pramanik, Faisal Hussain, A. Z. M. Shakilur Rahman

“…This paper presents an innovative approach that leverages blockchain technology with a custom Multidimensional Sensor Validation Algorithm (MDSVA) to comprehensively address these challenges. …”
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Mathematical Modeling and Simulation of Logistic Growth by Camilla Pelagalli, Stefano Faccio, Paolo Casari

“…After such tuning, a single simulation scenario is chosen and compared with the state-of-the-art Gillespie algorithm, which adopts a contrasting event-driven approach. …”
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Flood control data push method of large reservoir based on artificial intelligence technology by Fei He, Xueming Li

“…By constructing a multi-objective flood control data push model and combining with convolutional neural network algorithm, the data transmission from the database to the data stream and then to the model is realized. …”
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Unveiling Gig Economy Trends via Topic Modeling and Big Data by Oya Ütük Bayılmış, Serdar Orhan, Cüneyt Bayılmış

“…Seven key themes emerged from the data, including labor precarity, flexibility, algorithmic control, platform accountability, gender disparities, and worker rights. …”
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Optimizing Vehicle Routing for Perishable Products with Time Window Constraints: by Rifqi Fauzi, Adi Priansyah, Paskalis Krisna Puspadewa, Syifa Maulvi Zainun Awal, Huu Tho Nguyen, Achmad Pratama Rifai

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Big data-based optimized model of building design in the context of rural revitalization by Wang Lei

“…In addition, to reduce the computational cost, the study also innovatively employed an agent-assisted model to effectively replace the original model, ensuring that performance was not sacrificed while cost was reduced. These experiments confirmed that this new method model could effectively reduce algorithm costs. …”
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Propeller Design Optimization and an Evaluation of Variable Rotational Speed Flight Operation Under Structural Vibration Constraints by Nicolas Lima Oliveira, Afonso Celso de Castro Lemonge, Patricia Habib Hallak, Konstantinos Kyprianidis, Stavros Vouros, Manuel A. Rendón

“…Three different evolutionary algorithms generated a Pareto front, from which the optimal propeller design is selected. …”
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Wireless Sensor Networks Focusing on Predicting Average Localization Error through Machine Learning Applications by Ioanna Gounari, Mattheos Kanzilieris

“…In comparison, the HGRT model had an R² value of 0.975, while the HGB and DTR models scored 0.969 and 0.956, respectively. …”
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UAM Vertiport Network Design Considering Connectivity by Wentao Zhang, Taesung Hwang

“…This study develops an integrated mathematical model for vertiport location decision, aiming to minimize total system cost while ensuring UAM network connectivity among the selected vertiport locations. …”
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Super-Twisting MRAS Observer-Based Non-linear Direct Flux and Torque Control for Induction Motor Drives by Ammar Abdelkarim, Belaroussi Oussama, Benakcha Meryem, Zemmit Abderrahim, Ameid Tarek

“…The second-order super-twisting control method is free-chattering, which lowers the chattering effect while preserving the same good features as the first-order sliding mode control (SMC). …”
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