Two-sided Energy Storage Cooperative Scheduling Method for Transmission and Distribution Network Based on Multi-agent Attention-deep Reinforcement Learning by CHEN Shi, ZHU Yujie, LIU Yihong, XU Liuchao, TANG Guodeng

“…An improved Shapley value is used to allocate additional income, providing a cooperative incentive. …”
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Interference Mitigation in Coexisting Satellites and Cloud-Assisted Ground Networks in the mmWave Band by Sirine Ben Ati, Hayssam Dahrouj, Mohamed-Slim Alouini

“…Such coexistence of space and ground communications becomes prone to wireless interference, and so the cross-development of intelligent resource allocation techniques becomes indispensable for assessing the benefit of such hybrid space-ground networks. …”
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Predicting Neoplastic Polyp in Patients With Gallbladder Polyps Using Interpretable Machine Learning Models: Retrospective Cohort Study by Zhaobin He, Shengbiao Yang, Jianqiang Cao, Huijie Gao, Cheng Peng

“…Conclusions Our interpretable ML models accurately predict neoplastic polyps in GBP patients, providing guidance for treatment planning and resource allocation. The model's transparency fosters trust and understanding, empowering physicians to confidently use its predictions for improved patient care.…”
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Enhancing Campus Mobility: Simulated Multi-Objective Optimization of Electric Vehicle Sharing Systems Within an Intelligent Transportation System Frameworks by Omar S. Aba Hussen, Shaiful J. Hashim, Nasri Sulaiman Member, S.A.R. Alhaddad, Bassam Y. Ribbfors, Masanobu Umeda, Keiichi Katamine

“…This research offers valuable insights into the implementation of EV sharing systems in educational institutions, emphasizing the advantages of focused resource allocation and the integration of dynamic decision variables.…”
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Enhanced prediction of ventilator-associated pneumonia in patients with traumatic brain injury using advanced machine learning techniques by Negin Ashrafi, Armin Abdollahi, Kamiar Alaei, Maryam Pishgar

“…These findings have meaningful clinical implications, offering a framework for more timely interventions, optimized resource allocation, and improved patient care in critical settings.…”
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A Time-Efficient Convergecast Scheduling on Star-Linear IWSN for Narrow Process Industries by Hong-hua Xu, Xinping Guan

“…Over the backbone, an optimal slots allocating algorithm is designed to maximize the slots performance in terms of the end-to-end communication reliability, based on which a slot-efficient multisuperframe scheduling algorithm is presented. …”
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Using LDA for audit risk assessment of the Indonesian BOS fund: Insights from news analysis by Iis Istianah, Nia Pramita Sari, Afrialdi Syahputra Butar Butar, Bonar Cornellius Pasaribu

“…We use the latent Dirichlet allocation (LDA) algorithm to reveal hidden topics representing risks in the management of the Indonesian School Operational Assistance Fund (BOS Fund). …”
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Artificial Intelligence Implementation in Library Information Systems: Current Trends and Future Studies by Albertoes Pramoekti Narendra, Christine Dewi, Lanyta Setyani Gunawan, Ambrosius Sindu Ardi

“…It enables analysis of user behavior and trends, optimizing resource allocation and collection development. By leveraging AI to assess circulation data and usage patterns, librarians can better anticipate user needs and future trends. …”
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AI-driven health analysis for emerging respiratory diseases: A case study of Yemen patients using COVID-19 data by Saleh I. Alzahrani, Wael M. S. Yafooz, Ibrahim A. Aljamaan, Ali Alwaleedi, Mohammed Al-Hariri, Gameel Saleh

“…These findings underscore the potential of AI-driven health analysis to optimize resource allocation and enhance forecasting for respiratory diseases.…”
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A Game Theoretical Priority-Aware R2V Task Offloading Framework for Vehicular Fog Networks by Kinda Khawam, Maurice Khabbaz, Joe Saad

“…The first level utilizes a two-stage Stackelberg game to incentivize vehicles within RSU coverage to allocate a portion of their computing resources. The second level focuses on task assignment to participating vehicles. …”
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Runoff Prediction and Uncertainty Analysis for Xijiang River Basin Based on CMIP6 Climate Scenarios by WU Huiming, YAN Meng, ZHOU Shuai

“…The results can provide an important scientific basis for water management agencies to plan, allocate, and utilize water resources reasonably in the basin, thereby reducing the influence of GCMs and SSPs uncertainty on runoff prediction uncertainty.…”
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Distributed robust scheduling of distribution-microgrid based on deep learning method integration by WANG Yihong, LIU Jichun, QIU Gao, ZHOU Hao, HE Peixin

“…Considering the uncertainty of the real-time output of new energy in the microgrid, the proposed two-stage robust economic dispatching model adopts column-and-constraint generation (C&CG) and alternating direction multiplier method (ADMM) combines the column and constraint generation algorithm and joint target cascade analysis algorithm for distributed solution. …”
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Integrating IT and OT for Cybersecurity: A Stochastic Optimization Approach via Attack Graphs by Gonzalo Martinez Medina, Krystel K. Castillo-Villar, Tanveer Hossain Bhuiyan

“…The defense strategies identified by our approach demonstrate that robust security protection can be achieved with optimal resource allocation, providing robust protection while minimizing implementation costs across the most critical vulnerabilities in the manufacturing network.…”
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The Shapley Value in Data Science: Advances in Computation, Extensions, and Applications by Lei Qin, Yingqiu Zhu, Shaonan Liu, Xingjian Zhang, Yining Zhao

“…The Shapley value is a fundamental concept in data science, providing a principled framework for fair resource allocation, feature importance quantification, and improved interpretability of complex models. …”
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Improving the Solving of Optimization Problems: A Comprehensive Review of Quantum Approaches by Deborah Volpe, Giacomo Orlandi, Giovanna Turvani

“…Optimization is a crucial challenge across various domains, including finance, resource allocation, and mobility. Quantum computing has the potential to redefine the way we handle complex problems by reducing computational complexity and enhancing solution quality. …”
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The role of artificial intelligence in automating decision–making processes in project management by E. O. Lebedeva

“…It is concluded that the introduction of AI into project management should be based on a systematic approach, represented by training team members, adapting existing processes, and ensuring the transparency of algorithms. The author’s scientific contribution consists in the systematization of approaches to the use of AI in the field under study, in the proposal of a conceptual «framework» regarding the allocation of tasks and control of the stages within the framework of project management (using artificial intelligence). …”
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A Comparative Study of XBORE and XBOREOPT Hybrid Models for Ore Production Forecasting in the Mining Industry by Morris Mkokweza, Santhi Kumaran, George Mufungulwa

“…The study explores the efficacy of hyperparameter optimization techniques in enhancing predictive accuracy, robustness, and computational efficiency, which are crucial for optimizing resource allocation and operational planning in mining contexts. …”
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GIS Analysis Model Integration and Service Composition Prospects by L. Ding, P. Cai, W. Huang, H. Zhang, F. Ding, W. Zhao, D. Tang, Z. Wang

“…These innovations promise self-learning agents capable of automated spatial pattern recognition, real-time alerts, and optimized resource allocation. Despite progress, challenges persist in model selection, interpretability, and robustness. …”
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The Novel Heuristic for Data Transmission Dynamic Scheduling Problems by Hao Xu, Yue Zhao, Li-Ning Xing, You Zhou

“…The data transmission dynamic scheduling is a process that allocates the ground stations and available time windows to the data transmission tasks dynamically for improving the resource utilization. …”
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MDE-Net: Multi-Layer Depth Extraction Network With Attention Mechanism for Medical Image Segmentation by Xiaokang Ding, Ling Dong, Yingyu Ji, Ke'Er Qian

“…MDE-Net’s contribution can significantly streamline diagnostic processes, minimize human error, and optimize resource allocation in clinical settings, making it a valuable tool in advancing healthcare.…”
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