Robust Trajectory and Resource Optimization for Communication-Assisted UAV SAR Sensing by Mohamed-Amine Lahmeri, Walid R. Ghanem, Christina Bonfert, Robert Schober

“…In this paper, we investigate joint 3-dimensional (3D) trajectory planning and resource allocation for rotary-wing unmanned aerial vehicle (UAV) synthetic aperture radar (SAR) sensing. …”
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Optimal allocation of STATCOM for multi-objective ORPD problem on thermal wind solar hydro scheduling using driving training based optimization by Tushnik Sarkar, Sabyasachi Gupta, Chandan Paul, Susanta Dutta, Provas Kumar Roy, Anagha Bhattacharya, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

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Experimental Evaluation of Optimal Rate Delay and Power Allocation Algorithm in Wireless Control Networks by Muhammad Tahir, S. K. Mazumder

“…The network utility maximization (NUM) framework, widely used for wireless networks to achieve optimal resource allocation, has led to both centralized as well as distributed algorithms. …”
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Hybrid Blockchain-Based Multi-Operator Resource Sharing and SLA Management by Sidra Tul Muntaha, Qasim Z. Ahmed, Faheem A. Khan, Zaharias D. Zaharis, Pavlos I. Lazaridis

“…Results demonstrate the framework’s effectiveness in enhancing resource allocation and SLA enforcement in 5G networks, highlighting the capabilities of different blockchain platforms in managing complex network operations.…”
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Dynamic spectrum allocation for cognitive radio sensor networks based on improved genetic algorithm by Chang CAI, Yafang WANG, Bingmei MIAO, Hui JIANG

“…ISM (industrial scientific and medical) bands where wireless sensor network works faced with the shortage of spectrum resources problems.Aimed at this case,dynamic spectrum allocation in cognitive radio technology was applied in wireless sensor network.A dynamic frequency spectrum allocation scheme was proposed.The algorithm was a modified adaptive genetic algorithm which was based on graph coloring model.In addition,the objective functions of the algorithm were maximum bandwidth gains and minimum spectrum handoff,besides,in the crossover and mutation process,adaptive crossover probability and mutation probability was used instead of the fixed.Experimental results confirm that compared with the traditional genetic algorithm and color sensitive graph coloring algorithm,the proposed algorithm can achieve the expected goal of improving the spectral efficiency and reducing energy consumption.…”
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AI and Human Resources in a Literature-Driven Investigation Into Emerging Trends by Cristina Iancu, Simona-Vasilica Oprea

“…This paper revolves around building up an extensive literature review of the academic landscape surrounding the role of AI in Human Resources (HR) in the public sector, analyzing Web of Science publication trends and thematic patterns, spanning 12,121 publications from 2020 to 2024, where both Python and R scripts are applied to extract insights. …”
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Demand Prediction of Railway Emergency Resources Based on Case-Based Reasoning by Jianping Sun, Hantao Cao, Biao Geng, Zhaoping Tang, Xiaopeng Li

“…The demand prediction of emergency resources is helpful for rational allocation and optimization of emergency resources for railway rescue when emergency incident occurs. …”
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A multi-objective improved horse herd optimizer based on convex lens imaging for stochastic optimization of wind energy resources in distribution networks considering reliability a... by Fude Duan, Ali Basem, Dheyaa J. Jasim, Mahdiyeh Eslami, Mustafa Okati

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UAV Onboard STAR-RIS Service Enhancement Mechanism Based on Deep Reinforcement Learning by Junjie Yan, Yichen Xu, Haohao Yuan, Chunhua Xue

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End-to-end throughput evaluation model and optimization method for dual-mode mesh network by SU Zhan, WEN Bo, ZHU Xiaorong

“…The simulation results show that the network throughput of dual-mode communication is at least 50% higher than that of the single mode communication. The proposed resource allocation algorithm improves throughput by 10% compared with traditional resource allocation algorithms. …”
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THEORETICAL AND METHODOLOGICAL PRINCIPLES OF APPLICATION OF AGENT-ORIENTED APPROACH TO MODELING PROCESSES OF LOCAL HROMADAS by Yevgen Kotukh, Maryna Riabokin

“…The study explores the potential of MAS in solving practical problems such as resource allocation optimization, strategic planning for sustainable development, and strengthening resilience to crises. …”
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Analysis of disease severity and mortality prediction using machine learning during COVID-19 by Hodjat (Hojatollah) Hamidi, Mostafa Moradi

“…This study helps healthcare centers and hospitals prioritize the allocation of medical resources based on the severity of patients' conditions and predict their chances of survival. …”
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Predicting patient risk of leaving without being seen using machine learning: a retrospective study in a single overcrowded emergency department by Arianna Scala, Teresa Angela Trunfio, Massimo Majolo, Michelangelo Chiacchio, Giuseppe Russo, Paolo Montuori, Giovanni Improta

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A Hybrid Approach to Traffic Incident Management: Machine Learning-Based Prediction and Patrol Optimization by Yusuf Sait Turkan, Mesut Ulu

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Domain-weighted transfer learning and discriminative embeddings for low-resource speaker verification by Han Wang, Mingrui He, Mingjun Zhang, Changzhi Luo, Longting Xu

“…In this paper, we propose a domain-weighted allocation fine-tuning strategy that employs the Kernel Mean Matching (KMM) algorithm to adjust the distribution differences between the in-domain and out-of-domain datasets. …”
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Automatic Scheduling Method for Customs Inspection Vehicle Relocation Based on Automotive Electronic Identification and Biometric Recognition by Shengpei Zhou, Nanfeng Zhang, Qin Duan, Jinchao Xiao, Jingfeng Yang

“…Traditional vehicle scheduling often relies on manual processes and simplistic algorithms, resulting in prolonged waiting times and inefficient resource allocation. …”
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Multidepot Recycling Vehicle Routing Problem with Resource Sharing and Time Window Assignment by Yong Wang, Xiuwen Wang, Xiangyang Guan, Jinjun Tang

“…The RS strategy contributes to efficient resource allocation and utilization among recycling centers (RCs). …”
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Adaptive resource optimization mechanism for blockchain sharding in digital twin edge network by Li JIANG, Shengli XIE, Hui TIAN

“…To address the security and privacy issues for data sharing in digital twin edge networks, a new distributed and secure data sharing mechanism was developed by leveraging blockchain sharding.Considering dynamic and time varying features in digital twin edge networks and mapping errors of physic networks, an adaptive resource allocation model was formulated which jointly optimized cluster head selection, local base station (BS) consensus access selection, spectrum and computation consensus resources allocation, in order to maximize transactional throughput for the blockchain sharding.Moreover, a digital twin edge networks empowered two-layered proximal policy optimization (PPO) algorithm was designed to obtain the optimal solutions.Numerical results illustrate that the proposed algorithm can effectively improve the transactional throughput for the blockchain sharding.Meanwhile, it can well adapt to the mapping errors.…”
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Energy aware resource association in RIS assisted VLC-RF communication network. by Ashu Taneja, Ali Alqahtani, Nayef Alqahtani

“…To support the network communication a resource association algorithm is proposed that associates a set of ORISs to each VLC access point (AP) and node pair. …”
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A Joint Sub-Channel and Power Allocation Algorithm in Co-Channel Heterogeneous Femtocell Network by Geng Chen, Wenjing Yao, Yinjing Guo, Weiwei Xia

“…A joint sub-channel and power allocation algorithm was proposed to suppress co-channel interference. …”
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