An energy-balanced multi-sensor scheduling scheme for collaborative target tracking in wireless sensor networks by Pengcheng Fu, Hongying Tang, Yongbo Cheng, Baoqing Li, Hanwang Qian, Xiaobing Yuan

“…In addition, we also design an efficient multi-sensor node collaborative method to track a single target and to timely report its state to the remote end. …”
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Mapping hierarchical wetland characteristics by optical-SAR integration with collaborative spatial-spectral-temporal learning by Linwei Yue, Meiyue Wang, Chengpeng Huang, Qing Cheng, Qiangqiang Yuan, Huanfeng Shen

“…Within the network, two parallel branches are designed to collaboratively learn the spatial, spectral or polarized, and temporal dependencies in the optical image and SAR image time series, respectively. …”
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Multiradar Collaborative Task Scheduling Algorithm Based on Graph Neural Networks with Model Knowledge Embedding by Haoqing LI, Dian YU, Changchun PAN, Wenxian YU, Dongying LI

“…However, existing scheduling algorithms struggle to efficiently handle multiradar collaborative tasks involving complex logical constraints. …”
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Robust Model-Based Reliability Approach to Tackle Shilling Attacks in Collaborative Filtering Recommender Systems by Santiago Alonso, Jesus Bobadilla, Fernando Ortega, Ricardo Moya

“…There are shilling attacks’ strategies that introduce malicious profiles in collaborative filtering recommender systems in order to promote the own products or services or to discredit those of the competition. …”
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A cloud-edge collaborative optimization control strategy for voltage in distribution networks with PV stations by Guoqing Li, Wei Wang, Dan Pang, Zhipeng Wang, Weixian Tan, Zhenhao Wang, Jinming Ge

“…The voltage threshold device detects the node voltage overrun and triggers the collaborative optimization computation of the edge computing devices, which sends a command to the cloud to call the partitioning result of this time period, and the cloud sends the result to each edge computing device, which determines the area it is responsible for, and adjusts the voltage overrun partitioning by using the mixed-integer second-order conic planning, and ultimately realizes the optimization strategy within the minute-level zone. …”
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ACNet: An Attention–Convolution Collaborative Semantic Segmentation Network on Sensor-Derived Datasets for Autonomous Driving by Qiliang Zhang, Kaiwen Hua, Zi Zhang, Yiwei Zhao, Pengpeng Chen

“…To address these issues, this paper proposes a global–local collaborative attention module and a spider web convolution module. …”
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Enhancing Podocyte Degenerative Changes Identification With Pathologist Collaboration: Implications for Improved Diagnosis in Kidney Diseases by George Oliveira Barros, Jose Nathan Andrade Muller da Silva, Henrique Machado de Sousa Proenca, Stanley Almeida Araujo, David Campos Wanderley, Luciano Reboucas de Oliveira, Washington Luis Conrado Dos-Santos, Angelo Amancio Duarte, Flavio de Barros Vidal

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On-site trace detection of explosives: From ultra-sensitive SERS to integrated detection technology by Zi-han Wang, Wei Liu, Yu Dai, Zhong-ping Liu, Meng-dan Ma, Sheng Cui, Xuan He, Yu Liu

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Multi-Frame Joint Detection Approach for Foreign Object Detection in Large-Volume Parenterals by Ziqi Li, Dongyao Jia, Zihao He, Nengkai Wu

“…Factors such as occlusion, motion blur, and refractive distortion can significantly impact detection accuracy. To address these challenges, this paper proposes a multi-frame object detection framework based on spatiotemporal collaborative learning, incorporating three key innovations: a YOLO network optimized with deformable convolution, a differentiable cross-frame association module, and an uncertainty-aware feature fusion and re-identification module. …”
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Framework for autonomous inspection of PV plants using IoT electronics on each PV panel and UAV collaboration by Miguel Tradacete-Ágreda, Carlos Santos-Pérez, Pablo José Hueros-Barrios, Francisco Javier Rodríguez-Sánchez, Rafael Pérez-Seguí, Javier Melero-Deza, Pascual Campoy

“…The IoT Modules run a fault detection algorithm to identify anomalous events. Upon detection, they alert a UAV fleet equipped with RGB and IR cameras to conduct visual and thermal inspections of the affected PV panels. …”
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Collaborative Surveillance: Using a Minimum Set of Key Data Parameters for One Health Participatory Surveillance by Mark Smolinski, Nomita Divi, Onicio Leal Neto

“…With three of four pathogens capable of causing epidemics or pandemics arising first in animals and spreading to humans as zoonosis, a One Health approach to early detection is paramount. One Health participatory surveillance, defined as the bidirectional receiving and transmitting of data for action through direct engagement of the target population, is an effective form of collaborative surveillance to enhance global health security. …”
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A Privacy-Preserving Polymorphic Heterogeneous Security Architecture for Cloud–Edge Collaboration Industrial Control Systems by Yukun Niu, Xiaopeng Han, Chuan He, Yunfan Wang, Zhigang Cao, Ding Zhou

“…Comprehensive evaluations using natural gas pipeline pressure control and smart grid voltage control systems demonstrate superior performance: the proposed method achieves 100% system availability compared to 62.57% for static redundancy and 86.53% for moving target defense, maintains 99.98% availability even under common-mode attacks (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mn>10</mn><mrow><mo>−</mo><mn>2</mn></mrow></msup></semantics></math></inline-formula> probability), and consistently outperforms moving target defense methods integrated with state-of-the-art detection mechanisms (99.7790% and 99.6735% average availability when false data deviations from true values are 5% and 3%, respectively) across different attack detection scenarios, validating its effectiveness in defending against availability attacks and privacy leakage threats in cloud–edge collaboration environments.…”
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Poet-Composer Collaborations in Modern Egyptian Song: A Social Network Analysis Approach to Music History by Michael Frishkopf

“…Social network analysis (SNA) offers a powerful suite of tools enabling such an approach, including metrics for centrality and the detection of cohesive subgroups. Starting with a large dataset of songs broadcast on Egyptian radio, I extract a network of poet-composer collaborations, and apply SNA algorithms to reveal its social structure. …”
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Acoustic Fault Diagnosis Method for Rotating Machinery Based on Collaborative Perception Information Aggregation Guidance Network by Chaofan Li, Fan Zhang, Qichen Wang, Yufei Han, Tianrui Li, Fei Teng, Cai Yi, Yongmeng Wu

“…To address these issues, this paper proposes a Collaborative Perception Information Aggregation Guidance Network (CPAGN). …”
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Confidence-Based, Collaborative, Distributed Continual Learning Framework for Non-Intrusive Load Monitoring in Smart Grids by Chaofan Lan, Qingquan Luo, Tao Yu, Minhang Liang, Zhenning Pan

“…This study addresses these challenges by proposing a confidence-based collaborative distributed continual learning framework for NILM. …”
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A Systematic Review of Cyber Threat Intelligence: The Effectiveness of Technologies, Strategies, and Collaborations in Combating Modern Threats by Pedro Santos, Rafael Abreu, Manuel J. C. S. Reis, Carlos Serôdio, Frederico Branco

“…This systematic review aims to synthesize the current literature on the effectiveness of CTI strategies in mitigating cyber attacks, identify the most effective tools and methodologies for threat detection and prevention, and highlight the limitations of current approaches. …”
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Fast-zoom and high-resolution sparse compound-eye camera based on dual-end collaborative optimization by Yi Zheng, Hao-Ran Zhang, Xiao-Wei Li, You-Ran Zhao, Zhao-Song Li, Ye-Hao Hou, Chao Liu, Qiong-Hua Wang

“…Experiments verify the advantages of the CEC based on dual-end collaborative optimization in high-fidelity reconstruction of real scene images, kilometer-level long-distance detection, and dynamic imaging and precise recognition of targets of interest.…”
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ES-Net Empowers Forest Disturbance Monitoring: Edge–Semantic Collaborative Network for Canopy Gap Mapping by Yutong Wang, Zhang Zhang, Jisheng Xia, Fei Zhao, Pinliang Dong

“…A cross-layer attention mechanism was embedded in the semantic segmentation module (SSM) to enhance the discriminative ability for heterogeneous features. Meanwhile, an edge detection module (EDM) was built to strengthen geometric constraints. …”
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A Summary of the HCC-CARE Symposium: Collaborative Approaches to Reaching Equity in Hepatocellular Carcinoma in Boston by 2030 by Lau-Min KS, Abrams T, Bullock A, Kaplan A, Salas Karnes L, Kennedy MW, LeBedis CA, Lin MV, McCleary NJ, Sioshansi S, Voligny E, Walsh EP, Manz CR

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First Cluster Second Route Approach with Collaboration Unmanned Aerial Vehicle in Post-Disaster Humanitarian Logistic by Zeynep Yüksel, Dursun Emre Epcim, Süleyman Mete

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