Collaborative probability based multimodel target identification in wireless sensor networks by SUN Xin-yao, WANG Xue, WANG Sheng

“…A collaborative probability based multimodel target identification method for the applications in wireless sen-sor networks was proposed.Wavelet package was used to extract the features of the target information sample,and in or-der to decrease the computing complexity and reserve the key information as well,feature compaction,which achieved by principal components analysis,was carried out before learning.Different types of Gaussian classifier were developed for classifier learning.To gain global optimal results,committee decision was employed to select and combine individual decisions with dynamically adjusted weights.The experiment results verified that the method introduced can adapt to the interference factor of the environment and can implement target identification accurately and stably.…”
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Collaborative optimization of the Mathews stability graph method and numerical simulation for the limit exposure area in stope by Chunlin You, Jianhua Hu, Jianing Li, Jiwei Zhang, Zhonghua Qi

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A Novel Hybrid Item-Based Similarity Method to Mitigate the Effects of Data Sparsity in Multi-Criteria Collaborative Filtering by Burcu Demirelli Okkalioglu

“…Addressing the persistent challenge of data sparsity, a novel similarity method, hybrid item-based, for multi-criteria collaborative filtering is proposed in this study. …”
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A Dynamic Evaluation Method for Collaborative Search Efficiency of Multi-Sonar Systems Under Uncertain Situations by Shizhe Wang, Weiyi Chen, Zongji Li, Xu Chen

“…To bridge this gap, in this paper, we propose a novel evaluation method for sonar collaborative search efficiency based on adaptive information fusion and dynamic deduction. …”
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An Optimization Method for Manned/Unmanned Aerial Vehicle Collaborative Operation System Architecture Based on PGQNSGA-II by Xinyao Wang, Yunfeng Cao

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A Distributed Multi-Robot Collaborative SLAM Method Based on Air–Ground Cross-Domain Cooperation by Peng Liu, Yuxuan Bi, Caixia Wang, Xiaojiao Jiang

“…To overcome the limitations in the perception performance of individual robots and homogeneous robot teams, this paper presents a distributed multi-robot collaborative SLAM method based on air–ground cross-domain cooperation. …”
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Ultra-Short-Term Distributed Photovoltaic Power Probabilistic Forecasting Method Based on Federated Learning and Joint Probability Distribution Modeling by Yubo Wang, Chao Huo, Fei Xu, Libin Zheng, Ling Hao

“…Firstly, a collaborative feature federated learning framework is established. …”
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Task Allocation and Path Planning Method for Unmanned Underwater Vehicles by Feng Liu, Wei Xu, Zhiwen Feng, Changdong Yu, Xiao Liang, Qun Su, Jian Gao

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Protocol of a collaborative evaluation systematized non-systematic reviews by “DESCreview”, a Design tool for Evaluating risk of bias/quality in Systematized and sCoping reviews... by Alexis Descatha, Aurélie Mayet, Grace Sembajwe, Marc Fadel

“…We propose a general-purpose tool for assessing the quality and risk of bias of Scoping et al. reviews, using a collaborative evaluation. Methods This Scoping et al. reviews tool (DESCreview, Design tool for Evaluating risk of bias/quality in Systematized and sCoping reviews) consists of a nine-domain assessment with four possible probabilities of quality. …”
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Optimizing Knowledge Transfer Graph for Deep Collaborative Learning by Soma Minami, Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

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A sustainable and reliable model for iron closed-loop supply chain network design with considering risk and lateral transmision and developed multi-objective decision-making method by Hamid Saffari, Morteza Abbasi, Jafar Gheidar-Kheljani

“…Purpose: This research proposes a multi-objective and robust model considering both cost and risks related to the environment (water consumption and environmental pollution), social responsibility (working conditions and employee health), operations (change in demand and return rates), and disruption (accs and diseases such as COVID-19) in the supply chain, using horizontal collaboration to deal with it.Methodology: In this research, mixed-integer linear programming and robust optimization technique have been used for closed-loop supply chain network design and a multi-objective method has been developed to solve the problem and create Pareto spaces.Findings: The results of the calculations show the effect of failure probability on the capacity of the facility, the total cost of the network and the degree of collaboration between members of the supply chain to deal with the risk. …”
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CGRS: Collaborative Knowledge Propagation Graph Attention Network for Recipes Recommendation by Suzhi Zhang, Xiang Lin, Zijian Bai, Pu Li, Haidi Fan

“…This method designs collaborative information propagation to make full use of user interaction and recipe attribute information to meet the needs of multiple influencing factors. …”
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Multi-Attribute Collaborative Optimization for Multimodal Transportation Based on User Preferences by Youpeng Lu, Gang Gao

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Global Information and Structure Tensor Guided Collaborative Representation for Anomaly Detection by Meiping Song, Zhenyu Guo, Lan Li, Shihui Liu, Haimo Bao, Jiakang Li

“…A global information and structure tensor guided collaborative representation detection method is proposed in this article. …”
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A Collaborative Domain Adversarial Network for Unlabeled Bearing Fault Diagnosis by Zhigang Zhang, Chunrong Xue, Xiaobo Li, Yinjun Wang, Liming Wang

“…In light of this, this paper proposes a Collaborative Domain Adversarial Network (CDAN) method for the fault diagnosis of rolling bearings using unlabeled data. …”
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An Elite Wolf Pack Algorithm Based on the Probability Threshold for a Multi-UAV Cooperative Reconnaissance Mission by Hanrui Zhang, Xiao Lv, Chao Ma, Liangzhong Cui

“…Experiments demonstrate that the EWPA-PT algorithm significantly improves solution accuracy compared to typical methods in recent years.…”
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Minimizing social bias with sequential collaboration: the role of contributor features in dependent judgments by Maren Mayer, Joachim Kimmerle

“…Overall, these findings suggest that sequential collaboration shows some robustness against simple social influences highlighting its potential as a method for judgment aggregation. …”
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Why not both? Complementing explanations with uncertainty, and self-confidence in human-AI collaboration by Ioannis Papantonis, Vaishak Belle, Vaishak Belle

“…This study investigates whether combining uncertainty estimates with explanations enhances human-AI interaction effectiveness, particularly examining the interplay between model uncertainty and users' self-confidence in shaping reliance, understanding, and trust.MethodsWe conducted an empirical study with 120 participants across four experimental conditions, each providing increasing levels of model assistance: (1) prediction only; (2) prediction with corresponding probability; (3) prediction with both probability and class-level recall rates; and (4) all prior information supplemented with feature importance explanations. …”
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Addressing food insecurity: a paediatric academic advocacy collaborative quality initiative by James Roberts, Shivani Mehta, J Blakely Andrews Amati, Talia Buitrago Mogollon, Lizmarie Maldonado, Kerry K Sease, Debra Best, Kimberly Montez, Emily Vander Schaaf, Elizabeth Erickson, Jeffrey Holloway, Kristina Gustafson, Carolyn Avery

“…The eight teaching clinics of the Carolinas Collaborative completed monthly chart audits using the Quality Improvement Data Aggregator (QIDA). …”
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Multidisciplinary Collaborative Reliability Analysis of the Gear Reducer based on Inverse Reliability Strategy by Wang Liangliang, Peng Jinshuan, Shao Yiming

“…To overcome the high computational cost of reliability analysis,a reliability analysis method which combines the multidisciplinary genetic algorithm collaborative optimization（ GA- CO） based on the inverse reliability strategy（ IRS） is proposed（ IRS- GA- CO）. …”
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