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A Novel Hybrid Item-Based Similarity Method to Mitigate the Effects of Data Sparsity in Multi-Criteria Collaborative Filtering
Published 2025-01-01“…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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Collaborative probability based multimodel target identification in wireless sensor networks
Published 2011-01-01“…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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Task Allocation and Path Planning Method for Unmanned Underwater Vehicles
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A Dynamic Evaluation Method for Collaborative Search Efficiency of Multi-Sonar Systems Under Uncertain Situations
Published 2025-05-01“…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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A Distributed Multi-Robot Collaborative SLAM Method Based on Air–Ground Cross-Domain Cooperation
Published 2025-07-01“…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
Published 2025-01-01“…Finally, the effectiveness of the proposed method was validated through real datasets.…”
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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...
Published 2025-06-01“…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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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
Published 2023-09-01“…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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APPLICATION OF THE SYNTHETIC ANALYTICAL STRUCTURAL METHOD TO IMPROVE THE READING SKILLS
Published 2025-08-01“…Purpose – This study aims to evaluate the implementation of the Structural Analytic Synthetic (SAS) method in teaching beginning reading within the context of 21st-century skills, particularly during online learning environments prompted by the COVID-19 pandemic. …”
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UUV Cluster Distributed Navigation Fusion Positioning Method with Information Geometry
Published 2025-03-01“…To address these challenges, this paper proposes a UUV cluster distributed navigation fusion positioning method with information geometry (UCDFP). This method transforms the navigation data of individual UUVs into an information geometric probability model, thereby reducing the impact of temporal asynchrony-induced positioning errors. …”
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A cooperative jamming mode adjustment method based on Multi-Agent reinforcement learning
Published 2025-11-01“…To address this, we propose a Multi-agent Joint Collaborative Jamming Adjustment Method (MJCJMA). Firstly, a non-cooperative adversarial scenario model is constructed, employing an improved snow melting algorithm (GPSAO-LSSVM) for radar threat pre-evaluation. …”
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Quantification of paste homogeneity by vision-based identification method: Case study for an industrial mixer
Published 2025-03-01“…Properly mixing paste and cement is vital for enhancing backfill strength and paste flowability. However, existing methods lack real-time monitoring and intuitive usability. …”
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Light: An Alternative Method for Physical Control of Postharvest Rotting Caused by Fungi of Citrus Fruit
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Methods for a time-dependent neutrino flare search with the KM3NeT/ARCA telescope
Published 2025-01-01“…This contribution provides an overview of the statistical methods under development by the KM3NeT Collaboration for time-dependent searches for neutrino flares. …”
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Enhancing referrals to Child and Adolescent Mental Health Services: the EN-CAMHS mixed-methods study
Published 2025-06-01“…Method The study took parallel quantitative and qualitative approaches to examine the extent of the problem in local and Northwest regional CAMHS services, and to determine how this translated into people’s experiences; and to identify realistic and implementable solutions. …”
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Optimizing Knowledge Transfer Graph for Deep Collaborative Learning
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The Design of Critical Care Information System Supporting Clinical Decision Based on Deep Learning Recognition Method
Published 2022-01-01“…Based on previous studies, two unsupervised learning methods based on machine learning are proposed, namely user collaborative filtering and RBM, to improve CDSS. …”
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