A PSO-Based Approach for the Optimal Allocation of Electric Vehicle Parking Lots to the Electricity Distribution Network by Marzieh Sadat Arabi, Anjali Awasthi

“…They function as distributed generation resources within distribution systems, requiring controlled charging and discharging of batteries. …”
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A multi-objective approach to load balancing in cloud environments integrating ACO and WWO techniques by Umesh Kumar Lilhore, Sarita Simaiya, Yogendra Narayan Prajapati, Anjani Kumar Rai, Ehab Seif Ghith, Mehdi Tlija, Tarik Lamoudan, Abdelaziz A. Abdelhamid

“…In addition, the algorithm consistently achieved an impressive equilibrium in resource allocation, with balance values ranging from 0.87 to 0.95. …”
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Spectrum Allocation Using Integer Linear Programming and Kerr Optical Frequency Combs by Sergio Muñoz-Tapasco, Andrés F. Calvo-Salcedo, Jose A. Jaramillo-Villegas

“…While current algorithms have improved allocation efficiency, further development is necessary to optimize network performance. …”
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Cyber-Secure IoT and Machine Learning Framework for Optimal Emergency Ambulance Allocation by Jonghyuk Kim, Sewoong Hwang

“…Supervised regression algorithms—Random Forest, XGBoost, and LightGBM—were trained on 2061 center-month observations. …”
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Power Dispatch Stability Technology Based on Multi-Energy Complementary Alliances by Yiming Zhao, Chengjun Zhang, Changsheng Wan, Dong Du, Jing Huang, Weite Li

“…It aims to enhance dispatch stability and energy utilization through an innovative Distributed Overlapping Coalition Formation (DOCF) model. A distributed algorithm utilizing tabu search is proposed to solve the complex optimization problem in power resource allocation. …”
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Joint Latency-Energy Minimization for Fog-Assisted Wireless IoT Networks by Farshad Shams, Vincenzo Lottici, Zhi Tian

“…This work aims to present a joint resource allocation method for a fog-assisted network wherein IoT wireless devices simultaneously offload their tasks to a serving fog node. …”
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Secrecy energy efficiency maximization in dual-metasurface-aided wireless networks by Robert Kuku Fotock, Agbotiname Lucky Imoize, Alessio Zappone, Ciro D’Elia

“…Numerical results show that the proposed system architecture and radio resource allocation algorithms provide significant SEE gains over conventional alternatives.…”
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Energy efficiency maximization in MIMO links aided by metasurfaces with global reflection constraints by Ayşegül Ilay Tunalı, Robert Kuku Fotock, Alessio Zappone, Giorgio Taricco, Giuseppa Alfano, Hakan Ali Çırpan

“…Abstract This work develops two radio resource allocation algorithms to optimize the energy efficiency of a multiple-input multiple-output (MIMO) communication system where a metasurface is deployed near the transmit antenna array to create a reconfigurable holographic beamforming structure. …”
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A Deep Reinforcement Learning Method with a Low Intercept Probability in a Netted Synthetic Aperture Radar by Longhao Xie, Ziyang Cheng, Ming Li, Huiyong Li

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SC-PA: A spot-checking model based on Stackelberg game theory for improving peer assessment by Jia Xu, Panyuan Yang, Teng Xiao, Pin Lv, Minghe Yu, Ge Yu

“…In particular, to ensure the utilities of both of the teachers and students, an algorithm that computes the optimal allocation plan for review resources is carefully designed based on Stackelberg equilibrium. …”
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On the Synergy of IoMT Devices and Ceiling-Mounted Systems for Advanced Medical Data Analytics by Andreas Andreou, Constandinos X. Mavromoustakis, Evangelos K. Markakis, Athina Bourdena, George Mastorakis

“…Deep Reinforcement Learning (DRL) methods solve the resource allocation challenge under realistic constraints. …”
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Advancement in public health through machine learning: a narrative review of opportunities and ethical considerations by Sumit Singh Dhanda, Deepak Panwar, Chia-Chen Lin, Tarun Kumar Sharma, Deependra Rastogi, Shantanu Bindewari, Anand Singh, Yung-Hui Li, Neha Agarwal, Saurabh Agarwal

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A dual time-scale optimal dispatch algorithm for PV systems: Integrating centralized optimal power dispatch with distributed power deviation absorption in DC smart grids by Jiahua Ni, Yuwei Chen, Arman Goudarzi, Tong Wang, Lingang Yang, Shengwei Mei

“…For short-term adjustments, a distributed consensus algorithm dynamically allocates power deviations among PV sources using reserve capacity, eliminating the need for probabilistic uncertainty modeling. …”
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How many grid-forming converters are needed? – A techno-economic perspective by Guoxuan Cui, Hongyang Jia, Ning Zhang, Fei Teng

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Optimal Parking Slots Reservation and Allocation Problem for Periodic Parking Platforms with Preference Constraints by Xianmin Song, Tianshu Zhan, Haitao Li, Bo Liu, Yunxiang Zhang, Xin Liu

“…However, the parking slots may be allocated unreasonably, which may lead to a waste of space and time resources. …”
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User scheduling and power allocation strategy for cell-free networks based on federated learning by WANG Huahua, HUANG Yexia, LI Ling

“…Firstly, a low-complexity resource priority based secondary sampling user scheduling (RPSS-US) algorithm was proposed. …”
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A Bi-Level Optimization Model for Flexible Capacity Allocation with Coordinated Planning and Operation by Xinyu Yin, Xiaoyan Bian, Qinran Zhu, Jinbin Zhao, Shunfu Lin, Kwok L. Lo

“…Traditional methods for flexible capacity allocation do not take into account the actual operation status of resources, and this can lead to redundancy of allocation results in a high renewable penetration power system. …”
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A Novel Method for Dynamic Distribution Network Reconfiguration Utilizing Capacitor and DG Allocation by Sana Sadeghi, Alireza Jahangiri, Ahmad Ghaderi Shamim

“…By reconfiguring and allocating capacitors and distributed generation resources during these periods, the voltage profile is improved and losses are reduced. …”
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From Concept to Market: Ensemble Predictive Model for Research Project Crowdfunding Readiness by Andreea Cristina Ionica, Stanislav Cseminschi, Monica Leba

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Intelligent Counterforce Allocation Method Using Multi-Agent Reinforcement Learning for Ground Operations by Kiwoong Park, Sangheun Shim

“…These results highlight the potential of MARL to enhance intelligent, large-scale force allocation under constrained human resources.…”
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