Weight-Based Clustering Decision Fusion Algorithm for Distributed Target Detection in Wireless Sensor Networks by Haiping Huang, Lei Chen, Xiao Cao, Ruchuan Wang, Qianyi Wang

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Research on Wireless Positioning Technology Based on Digital FM Broadcasting by Yi Zhang, Zhanxin Yang, Lunhui Deng, Shanshan Li

“…In this paper, a new method based on multisource data fusion is proposed, which can meet the need of localization in various environments and overcome the deficiency of single localization method.…”
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THE CHOICE OF SURGICAL TACTICS BASED ON THE RESULTS OF PIGMENTED LIMPHOGRAPHY FOR PATIENTS WITH LOCALLY ADVANCED PROXIMAL GASTRIC CANCER by M. O. Maksimov, S. A. Tuzikov, G. N. Strizhakov, E. O. Rodionov, S. V. Miller

“…The lack of low-cost and available methods for the diagnosis of lymph node metastasis from gastric cancer and the standards of surgery for proximal gastric cancer is a hot topic for research. the aim of research is to study the effectiveness of the method of pigment lymphography and to develop criteria for determining the extent of surgery in the treatment of locally advanced proximal gastric cancer. …”
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A dynamic localization network for regional navigation under global navigation satellite system denial environments by Hongwei Zhao, Yue Yan, Xiaozhu Shi

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A Novel Mobile Localization Method for Distributed Sensor Network with Non-Line-of-Sight Error Mitigation by Nan Hu, Hao Wu, Chengdong Wu, Yuan Gao

“…Mobile localization using distributed sensor network has attracted significant research interest in recent years. …”
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Development of Robust Behaviour Recognition for an at-Home Biomonitoring Robot with Assistance of Subject Localization and Enhanced Visual Tracking by Nevrez Imamoglu, Enrique Dorronzoro, Zhixuan Wei, Huangjun Shi, Masashi Sekine, José González, Dongyun Gu, Weidong Chen, Wenwei Yu

“…Our research is focused on the development of an at-home health care biomonitoring mobile robot for the people in demand. …”
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Local Entropy Optimization–Adaptive Demodulation Reassignment Transform for Advanced Analysis of Non-Stationary Mechanical Signals by Yuli Niu, Zhongchao Liang, Hengshan Wu, Jianxin Tan, Tianyang Wang, Fulei Chu

“…This research proposes a new method for time–frequency analysis, termed the Local Entropy Optimization–Adaptive Demodulation Reassignment Transform (LEOADRT), which is specifically designed to efficiently analyze complex, non-stationary mechanical vibration signals that exhibit multiple instantaneous frequencies or where the instantaneous frequency ridges are in close proximity to each other. …”
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Path planning of intelligent tennis ball picking robot integrating twin network target tracking algorithm by Zegang Wang

“…However, the real-time tracking of targets in existing intelligent robot path planning is poor and susceptible to becoming entrenched in local optimal solutions. Therefore, this study proposes an intelligent tennis ball picking robot path planning method that integrates a twin network object tracking algorithm. …”
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Multi-UAV Trajectory Planning Based on a Two-Layer Algorithm Under Four-Dimensional Constraints by Yong Yang, Yujie Fu, Runpeng Xin, Weiqi Feng, Kaijun Xu

“…These enhancements significantly strengthen the global search capability and convergence performance of the algorithm. For upper layer task assignment, the improved ALNS (IALNS) addresses local optima issues in complex constraints. …”
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Application of Decision Tree Algorithm in Determining the Quality of Processed Coffee Based on Consumer Preferences at Beskabean Coffee by M Arief Rahman

“…This research aims to apply the Decision Tree algorithm in determining the quality of processed Beskabean coffee based on consumer preferences. …”
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Enhanced Connectivity Validity Measure Based on Outlier Detection for Multi-Objective Metaheuristic Data Clustering Algorithms by Hossam M. J. Mustafa, Masri Ayob

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A multiobjective evolutionary algorithm incorporating neighborhood detection for the vehicle routing problem with soft time windows by Hao Jiang, Zhiwei Zhang, Chao Wang, Xiaoshu Xiang

“…However, existing research mainly focuses on improving solution quality within large and diverse neighborhoods, often resulting in increased computational complexity and the risk of getting trapped in local optima. …”
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A multi-scale small object detection algorithm SMA-YOLO for UAV remote sensing images by Shilong Zhou, Haijin Zhou, Lei Qian

“…Abstract Detecting small objects in complex remote sensing environments presents significant challenges, including insufficient extraction of local spatial information, rigid feature fusion, and limited global feature representation. …”
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A hybrid genetic tabu search algorithm based on a multi-operation joint movement neighborhood structure for job shop scheduling problems by Lei Wang, Kongfu Hu, Jingcao Cai, Long Cheng, Yuan Xiong, Jiawei Ren, Qiangqiang Xia

“…The job shop scheduling problem (JSP) is a critical issue in the field of production and manufacturing, and it holds significant research value. A hybrid genetic tabu search algorithm (HGTSA) is introduced, which combines the global search ability of the genetic algorithm (GA) and the local search ability of the tabu search (TS), with the goal of minimizing makespan. …”
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Economic Nature and Classification of Stablecoins by D. A. Kochergin

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A Two-Step Method for Impact Source Localization in Operational Water Pipelines Using Distributed Acoustic Sensing by Haonan Wei, Yi Liu, Zejia Hao

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ROLE OF COMPUTED TOMOGRAPHY WITH PNEUMOGASTROGRAPHY IN DETERMINING THE REGRESSION GRADE OF LOCALLY ADVANCED GASTRIC CANCER AFTER NEOADJUVANT CHEMOTHERAPY by I. D. Amelina, A. M. Karachun, D. V. Nesterov, L. N. Shevkunov, A. S. Artemieva, S. S. Bagnenko, S. L. Trofimov

“…The study of imaging biomarkers based on quantitative and qualitative data reflecting the histopathological features of the tumor and lymph nodes can help determine the tumor regression grade and optimize treatment.Conclusion. The proposed algorithm for assessing the response grade of locally advanced gastric cancer to chemotherapy using imaging biomarkers is a promising prognostic marker and requires further study.…”
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A quantum-enhanced heuristic algorithm for optimizing aircraft landing problems in low-altitude intelligent transportation systems by Yong Lu, Shikang Chen, Xukun Zhang, Xiuqin Pan, Yijin Gang, Chenxu Wang

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Efficient workflow scheduling using an improved multi-objective memetic algorithm in cloud-edge-end collaborative framework by Guangzhang Cui, Wei Zhang, Weiwei Xu, Hujun Bao

“…First, a multi-objective optimization model incorporating task execution constraints and priority constraints is developed, and complexity analysis confirms its NP-hard nature. Second, the IMOMA algorithm enhances population diversity through dynamic opposition-based learning, introduces local search operators tailored for bi-objective optimization, and maintains Pareto optimal solutions via an elite archive. …”
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An Effective Reactive Power Compensation Method and a Modern Metaheuristic Algorithm for Loss Reduction in Distribution Power Networks by Thang Trung Nguyen, Kim Hung Le, Tan Minh Phan, Minh Quan Duong

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