Research on Behavior Recognition and Online Monitoring System for Liaoning Cashmere Goats Based on Deep Learning by Geng Chen, Zhiyu Yuan, Xinhui Luo, Jinxin Liang, Chunxin Wang

“…Our improved model achieved the highest detection accuracy of 98.11% compared to other state-of-the-art (SOTA) target detection algorithms. …”
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Data-Driven Customer Retention Strategies in E-Commerce: A Fuzzy Z-Number Approach by Siyin Hu, An Chen

“…For the purpose of evaluating customer churn, we use the Support Vector Machine (SVM) model. In order to improve the performance of the SVM, we tune its parameters using the Coyote Optimization Algorithm (COA). …”
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Perimeter Degree Technique for the Reduction of Routing Congestion during Placement in Physical Design of VLSI Circuits by Kuruva Lakshmanna, Fahimuddin Shaik, Vinit Kumar Gunjan, Ninni Singh, Gautam Kumar, R. Mahammad Shafi

“…Consequently, in conjunction with the optimized floorplan data, the optimized model created by the Improved Harmonic Search Optimization algorithm undergoes testing and investigation in order to estimate the amount of congestion that occurs during the routing process in VLSI circuit design and to minimize the amount of congestion that occurs.…”
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The Development Strategy of the Multimedia Fusion Mode of Big Data Technology in Japanese Translation Teaching by Wanwan Qian

“…Starting from each aspect, optimize the automatic calibration algorithm of Japanese translation, find the best semantic relevance feature in each sentence, and realize automatic optimization, thereby improving the automatic calibration of Japanese translation machines and the registration of subject words.…”
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Hard Example Mining Method for Visual Perception Based on Multi-sensor Fusion by Jun LIN, Wenbo PAN, Jun YOU, Yanghan XU

“…These hard samples were for training a new object detection model and remote deployment through the cloud-side collaboration mechanism to realize the optimization and iterative update of the model. …”
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Research on intelligent scheme of telecommunication network by Tao LI, Chunjia WANG, Shanshan LI

“…The network of telecom operators needs to be promoted urgently in agility, efficiency and intelligence to realize its self-configuration, self-management and self-optimization.However, due to the inconsistent development route and technical characteristics between AI and communication network, how to deeply integrate AI and communication network is necessary to be considered systematically.Based on the development of the telecommunication network intelligence industry, and on the basis of the analysis of the needs of telecom operators for intelligence and the assessment of the status quo, the goal and technical scheme of telecommunication network intelligence were proposed, which covered the intelligent framework, intelligent functional modules and processes, data processing, algorithm model construction and integration.The scheme was helpful to promote the large-scale intellectualization of telecom operators and improve operational efficiency.…”
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Two-Sided Matching on Comprehensive Transportation Network Emergency Vehicles’ Allocation by Kunwei Xie, Heying Xu, Hongxia Lv

“…Firstly, based on the needs of both parties involved in the matching, the satisfaction evaluation systems are constructed; with the goal of maximizing the weighted satisfaction of the affected areas and vehicles, the optimization model of the materials and emergency vehicles matching is established; then, an improved National Intern Matching Program (NIMP) algorithm is designed to solve the model, which is based on the k: 1 experimental pairing and updating ideas, and can take into account the capacity and destination constraints of vehicles in the matching process. …”
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An efficient approach for broadband sound absorption using periodic multi-layer solid inclusions in acoustic coatings. by Xiaogang Li, Peng Liu, Xilong Zhang, Xiaoyang Zhu, Hongbo Zhang

“…The optimized structure, featuring subwavelength thicknesses, has significantly improved its sound absorption performance across a wide frequency range spanning from 1780 Hz to 8890 Hz, covering over two octaves. …”
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Securing federated learning: a defense strategy against targeted data poisoning attack by Ansam Khraisat, Ammar Alazab, Moutaz Alazab, Tony Jan, Sarabjot Singh, Md. Ashraf Uddin

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Time-Dependent Electric Vehicle Routing Problem with Time Windows and Path Flexibility by Li Wang, Shuai Gao, Kai Wang, Tong Li, Lin Li, Zhiyuan Chen

“…Hereinafter, an improved version of the variable neighborhood search (VNS) algorithm is utilized to solve the proposed models, in which multithreading technique is adopted to improve the solution efficiency significantly. …”
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Research Status and Development Trends of Deep Reinforcement Learning in the Intelligent Transformation of Agricultural Machinery by Jiamuyang Zhao, Shuxiang Fan, Baohua Zhang, Aichen Wang, Liyuan Zhang, Qingzhen Zhu

“…This paper proposes research directions from three key dimensions-“algorithm capability enhancement, deployment architecture optimization, and generalization ability improvement”-offering theoretical references and practical pathways for the continuous evolution of intelligent agricultural equipment.…”
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Tactical Coordination-Based Decision Making for Unmanned Combat Aerial Vehicles Maneuvering in Within-Visual-Range Air Combat by Yidong Liu, Dali Ding, Mulai Tan, Yuequn Luo, Ning Li, Huan Zhou

“…The coordinated situation assessment results are used to match corresponding tactics and maneuver control quantities. Finally, an improved particle swarm optimization algorithm (I-PSO) is proposed, which enhances the optimization ability and real-time performance through the design of local social factor iterative components and adaptive adjustment of inertia weights. …”
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Development of High Accuracy Classifier for the Speaker Recognition System by Raghad Tariq Al-Hassani, Dogu Cagdas Atilla, Çağatay Aydin

“…In order to enhance noise immunity, we proposed a single hidden layer feed-forward neural network (FFNN) tuned by an optimized particle swarm optimization (OPSO) algorithm. …”
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Cloud-edge Collaborative Data Processing Method for Intelligent Operation and Maintenance of Power Grid Production Equipment by LI Yadan, CHEN Xiaofeng, HUANG Xiaoming, ZHANG Sunxuan

“…Finally, an optimization algorithm for cloud-edge collaborative data processing based on processing delay and backlog aware matching is proposed. …”
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Evaluation and Analysis of Land Input-Output Comprehensive Benefit Based on Fuzzy Mathematics and Analytic Hierarchy Process by Xincheng Zhu, Yan Zhang, Yunzhi Hou, Minda Jiang

“…Then, based on the theory of fuzzy mathematics, the improved particle swarm optimization (PSO) algorithm is used to identify the fuzzy density value of the evaluation index. …”
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Secret key generation for reconfigurable intelligent surface‐assisted MISO multi‐user system by Kexin Liu, Mingliang Li, Kaizhi Huang, Zheng Wan, Qinlong Li, Xiaoli Sun, Xiaoming Xu, Liang Jin

“…Then, the difference convex‐successive convex approximation based alternating optimization algorithm is proposed to solve this optimization problem. …”
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MAOOA‐Residual‐Attention‐BiConvLSTM: An Automated Deep Learning Framework for Global TEC Map Prediction by Haoran Wang, Haijun Liu, Jing Yuan, Huijun Le, Weifeng Shan, Liangchao Li

“…It also includes an optimization algorithm, MAOOA, for optimizing the hyper‐parameters of the model. …”
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An online tool based on the Internet of Things and intelligent blockchain technology for data privacy and security in rural and agricultural development by Krishnaprasath Vellimalaipattinam Thiruvenkatasamy, Hayder M. A. Ghanimi, Sudhakar Sengan, Meshal Ghalib Alharbi

“…Central to this model is the proposed Quantum Neural Network + Bayesian Optimization (QNN + BO), a practiced algorithm that, when combined with methods like the Elliptic Curve Cryptography (ECC) and Coyote Optimization Algorithm (COA), guarantees secure data flow, processing, and storage. …”
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Microservice selection approach for mobile users in edge computing environment by ZHAO Shuxu, JIANG Kaijun, WANG Xiaolong

“…Firstly, a microservice selection architecture was established based on containers and workflows, and a migration load optimization model incorporating service quality evaluation metrics was formulated. …”
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Deep Reinforcement Learning with Local Attention for Single Agile Optical Satellite Scheduling Problem by Zheng Liu, Wei Xiong, Chi Han, Xiaolan Yu

“…Thus, an efficient approach is demanded to solve this problem, and this paper proposes a deep reinforcement learning algorithm with a local attention mechanism. A mathematical model is first established to describe this problem, which considers a series of complex constraints and takes the profit ratio of completed tasks as the optimization objective. …”
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