Distribution Network Differential Protection Technology Based on 5G Communication and Improved DTW by YU Yang, TANG Wei, YE Yuanbo, SHAO Qingzhu, YANG Ruijin, HUANG Yuhui

“…Aiming at the shortcomings of traditional DTW algorithms, such as large overhead, algorithm accuracy and efficiency limited by sequence amplitude difference, and empirical selection of parameters, the global path constraint strategy, data standardization strategy and particle swarm optimization strategy are proposed to be improved. …”
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Integrated perception-communication-logistics multi-objective oriented path planning for emergency UAVs by XU Yunpeng, XIE Yaqi, YU Ran, HOU Luyang, WANG Kailiang, XU Lianming

“…In the second stage, a multi-UAV path planning algorithm based on the greedy and tabu search was proposed to solve the optimization problem through iteratively optimizing the relief point clustering and the path planning of individual UAV. …”
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NUMERICAL METHOD FOR ESTIMATION OF TENSILE LOAD IN TIE-RODS by Kseniia Riabova, Luca Collini, Rinaldo Garziera

“…The influence of considering an elastic Winkler-type bed to model the tie-rod constraint inside the wall has been investigated. The algorithm used for calculation involves a solution of a functional minimization problem, where the tensile load and the stiffness of elastic foundation at the edges are used as optimization parameters and the error function, which describes the deviation between the frequencies measured and those calculated using finite element method, is minimized. …”
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Exact and Approximation Algorithms for Task Offloading with Service Caching and Dependency in Mobile Edge Computing by Bowen Cui, Jianwei Zhang

“…Considering the requirements of applications for service caching and task dependency, we define an optimization problem to minimize the delay under the constraint of maximum completion cost and present a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>(</mo><mn>1</mn><mo>+</mo><mi>ϵ</mi><mo>)</mo></mrow></semantics></math></inline-formula>-approximation algorithm and an exact algorithm. …”
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Power Communication Network Recovery from Large-Scale Failures Based on Reinforcement Learning by Huibin JIA, Yonghe GAI, Baogang LI, Hongda ZHENG

“…In order to solve the recovery problem of power communication network after large-scale failure, under the constraints of limited link recovery resources, a link recovery model for large-scale failures in power communication networks is established with the objective to maximize the recovery amount of failed services. …”
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Data annotation quality in smart farming industry by Catarina Silva, Dinis Costa, Joana Costa, Bernardete Ribeiro

“…These limitations often emerge from specific constraints, or the small scale of the problem/limited number of stakeholders, making it challenging to overcome the obstacles. …”
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Electric vehicle charging stations’ location in urban transportation networks: A heuristic methodology by Sebastian Torres Franco, Ivan Camilo Durán Tovar, Mónica Marcela Suárez Pradilla, Agustin Marulanda Guerra

“…To accelerate this technological transition, it is necessary to elaborate optimal charging station location strategies to increase the user confidence, and maintain investment costs within acceptable levels. …”
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Limited-angle x-ray nano-tomography with machine-learning enabled iterative reconstruction engine by Chonghang Zhao, Mingyuan Ge, Xiaogang Yang, Yong S. Chu, Hanfei Yan

“…Abstract A long-standing challenge in tomography is the ‘missing wedge’ problem, which arises when the acquisition of projection images within a certain angular range is restricted due to geometrical constraints. …”
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Minimizing the number of wireless charging PAD for unmanned aerial vehicle–based wireless rechargeable sensor networks by Yingjue Chen, Yingnan Gu, Panfeng Li, Feng Lin

“…In this work, we investigate the problem of introducing the minimal number of PADs in unmanned aerial vehicle–based wireless rechargeable sensor networks. …”
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Addressing antimicrobial resistance by improving access and quality of care-A review of the literature from East Africa. by Kathrin Loosli, Alicia Davis, Adrian Muwonge, Tiziana Lembo

“…While the global focus is on curbing excessive antimicrobial use to tackle the antimicrobial resistance (AMR) crisis, major constraints around access shape patients' health-seeking decisions leading to potentially problematic practices that might exacerbate the AMR problem. …”
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Self-Supervised Autoencoders for Visual Anomaly Detection by Alexander Bauer, Shinichi Nakajima, Klaus-Robert Müller

“…We tackle this problem by adapting a self-supervised learning regime that essentially implements a denoising autoencoder with structured non-i.i.d. noise. …”
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Throughput Maximization for Multi-Slot Data Transmission via Two-Hop DF SWIPT-Based UAV Systems by Arefe Mehrabi, Mohammad javad Emadi

“…To maximize the throughput, optimal power allocation at the source and the UAV and power splitting ratio at the UAV are studied over each time slot in presence of energy-causality constraints at the UAV. …”
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Ultimate Compression: Joint Method of Quantization and Tensor Decomposition for Compact Models on the Edge by Mohammed Alnemari, Nader Bagherzadeh

“…We employed different optimizers for training and fine tuning, including Adam and AdamW, and used norm grad clipping to address the exploding gradient problem in decomposed binary models. …”
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Rolling Horizon Approach for Real-Time Charging and Routing of Autonomous Electric Vehicles by Avishan Bagherinezhad, Mahnoosh Alizadeh, Masood Parvania

“…Using this data, the proposed model adopts a rolling horizon approach to optimize the routing of AEVs to serve spatio-temporal passenger demand across the transportation network, while optimizing the time and location of AEVs charging to ensure the availability of energy to serve the passenger demand, and satisfying the operational constraints of the power distribution system. …”
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Modelling maintenance scheduling strategies for highway networks. by Bao Tong, Jianwei Wang, Xue Wang, Feihao Zhou, Xinhua Mao, Yaxin Duan

“…A bi-level programming model is proposed to quantify and optimize MITDS. The upper level model determines the optimal scheduling to minimize the increased traffic delays during the maintenance makespan. …”
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Battery swapping scheduling for electric vehicles: a non-cooperative game approach by Yu Zhang, Tao Han, Wei He, Jianhua Xia, Lichao Cui, Zuofu Ma, Shiwei Liu

“…Therefore, it is crucial to develop efficient battery-swapping scheduling algorithms to optimize the operations of battery-swapping systems. …”
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Packet Delivery Maximization Using Deep Reinforcement Learning-Based Transmission Scheduling for Industrial Cognitive Radio Systems by Pham Duy Thanh, Tran Nhut Khai Hoan, Hoang Thi Huong Giang, Insoo Koo

“…Firstly, we formulate the scheduling problem of long-term throughput maximization as a framework of a Markov decision process with the constraints of the minimum delay, the number of required ISM channels, and the harvested energy at the CAPs. …”
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Insulator Surface Defect Detection Method Based on Graph Feature Diffusion Distillation by Shucai Li, Na Zhang, Gang Yang, Yannong Hou, Xingzhong Zhang

“…Aiming at the difficulties of scarcity of defect samples on the surface of power insulators, irregular morphology and insufficient pixel-level localization accuracy, this paper proposes a defect detection method based on graph feature diffusion distillation named GFDD. The feature bias problem is alleviated by constructing a dual-division teachers architecture with graph feature consistency constraints, while the cross-layer feature fusion module is utilized to dynamically aggregate multi-scale information to reduce redundancy; the diffusion distillation mechanism is designed to break through the traditional single-layer feature transfer limitation, and the global context modeling capability is enhanced by fusing deep semantics and shallow details through channel attention. …”
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An intelligent partial charging navigation strategy for electric vehicles by Jinsheng Xiao, Bang Sun, Xun Gao, Hua Yang, Liyuan Wang

“…The rise of electric vehicles (EVs) has highlighted the issue of insufficient charging infrastructure, a major barrier to their widespread adoption. This problem is due to the limited capacity of existing charging networks and the performance constraints of EV batteries. …”
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Multi-attribute bottleneck identification method for hybrid flow shops in panel furniture intelligent manufacturing by Xinyi Yue, Xianqing Xiong, Mei Zhang, Xiutong Xu

“…Abstract With the widespread application of theory of constraints (TOC) in the workshop, bottleneck machines are seen as a positive element in manufacturing system performance improvement. …”
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