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Virologic and immunologic response to cART by HIV-1 subtype in the CASCADE collaboration.
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Tourism collaborative governance: The views of tourism small and medium-sized enterprises in rural areas
Published 2025-03-01“…The study adopted a qualitative research approach and employed a purposive sampling method, a non-probability sampling technique to select participants. …”
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Collaborative Management of Water‐Energy‐Food‐Ecosystems Nexus in Central Asia Under Uncertainty
Published 2024-03-01“…Abstract Collaborative management of the water‐energy‐food‐ecosystems (WEFE) nexus can contribute significantly to sustainable development. …”
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Improved Collaborative Representation Classifier Based on l2-Regularized for Human Action Recognition
Published 2017-01-01“…In this paper, a unified improved collaborative representation framework is proposed in which the probability that a test sample belongs to the collaborative subspace of all classes can be well defined and calculated. …”
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Collaborative altitude-adaptive reinforcement learning for active search with unmanned aerial vehicle swarms
Published 2024-09-01“…The optimal strategy has to strike a balance between exploring larger areas at higher altitudes and exploiting regions of high target probability at lower altitudes. To address these challenges, collaborative altitude-adaptive reinforcement learning (CARL) was proposed which incorporated an altitude-aware sensor model, a confidence-informed assessment module, and an altitude-adaptive planner based on proximal policy optimization (PPO) algorithms. …”
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An Energy-Efficient Collaborative Ground Vibration Measurement Scheme Based on Compressed Sensing and Belief Propagation
Published 2014-06-01“…In this paper, we present a promising energy-efficient collaborative ground vibration measurement scheme based on efficient compressed sensing method and belief propagation method using the difference in the signal strength to distribute wireless communication load among sensor nodes, improve the detection probability, and extend the lifetime of this system. …”
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Collaborative Optimization Strategy for Multiple Virtual Power Plants Considering Uncertainty Risk and Energy Contribution
Published 2025-07-01“…[Methods] First, a scenario analysis method combining Latin hypercube sampling (LHS) and Manhattan probability distance was designed to address the uncertainties in wind and solar output as well as electricity prices. …”
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Long-Endurance Collaborative Search and Rescue Based on Maritime Unmanned Systems and Deep-Reinforcement Learning
Published 2025-06-01“…To deal with the energy constraints of UAVs and perform long-endurance collaborative SAR missions, a multi-USV charging scheduling method is proposed based on MARL to prolong the UAVs’ flight time. …”
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An energy-balanced multi-sensor scheduling scheme for collaborative target tracking in wireless sensor networks
Published 2017-03-01“…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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A Blockchain-Based Collaborative Storage Scheme for Roadside Unit Clusters in Social Internet of Vehicles
Published 2025-04-01“…Subsequently, the Vehicle Service Priority-based Greedy Block Allocation Algorithm (VSPGBAA) is devised for intra-cluster storage allocation, which considers vehicles’ dwell times and block access probabilities to reduce overall access costs. Experimental results indicate that, compared to baseline algorithms, the proposed method achieves a 27.7% reduction in cost and a 3.5-fold decrease in execution time, thereby demonstrating the feasibility of collaborative storage optimization in blockchain-enabled SIoV.…”
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A Privacy-Preserving Polymorphic Heterogeneous Security Architecture for Cloud–Edge Collaboration Industrial Control Systems
Published 2025-07-01“…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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A Refined Neutrosophic Over/Under Probability Model with Off-Norm Operators for Evaluating the Efficiency of AI-Based Digital Tools in Korean Language Teaching
Published 2025-07-01“…Compared to traditional evaluation methods, our neutrosophic model gives deeper insight into tool performance, uncertainty, and collaboration. …”
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Solving Collaborative Scheduling of Production and Logistics via Deep Reinforcement Learning: Considering Limited Transportation Resources and Charging Constraints
Published 2025-06-01“…Experimental results demonstrate that the proposed method outperforms composite dispatching rules and mainstream DRL methods across multiple scheduling scenarios, achieving an average improvement of 8.2% and 10.5% in makespan, respectively. …”
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ACGAN: adaptive conditional generative adversarial network architecture predicting skin lesion using collaboration of transfer learning models
Published 2024-10-01“…Using a proper process of augmentation of data, the suggested system attains a 94% accuracy for the VGG16, 93% for the ResNet50 and 94.25% for ResNet101. The process of collaboration of all such methods improves accuracy further to 95%. …”
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Collaborative Search Algorithm for Multi-UAVs Under Interference Conditions: A Multi-Agent Deep Reinforcement Learning Approach
Published 2025-06-01“…Due to the NP-hard nature of this problem, we decompose it into two interconnected Markov decision processes (MDPs): a spectrum collaboration subproblem solved using a received signal strength indicator (RSSI)-aware multi-agent proximal policy optimization (MAPPO) algorithm and a search collaboration subproblem addressed through a target probability map (TPM)-guided MAPPO approach with an innovative action-masking mechanism. …”
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Collaborative networks in community-based health and social care services: insights from Blackpool and the Fylde Coast (United Kingdom)
Published 2025-03-01“…Discussion The network had low density, highlighting the potential for more collaborations. The network appears fragmented, probably owing to a tendency for organizations to collaborate with others operating in the same service domain. …”
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Views of traditional healers on collaboration with health professionals when managing epilepsy in rural areas of Limpopo and Mpumalanga Provinces (South Africa)
Published 2023-09-01“…Objective: to explore traditional healers’ views on epilepsy management in collaboration with health professionals in South Africa rural communities.Material and methods. …”
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Clinical outcomes and cost-effectiveness of collaborative treatment with Korean and Western medicine in patients with facial palsy: a multicenter prospective observational study
Published 2025-05-01“…Methods A two-arm comparative, multicenter, prospective, observational study was conducted at 11 nationwide hospitals participating in the fourth phase of the national pilot project for CT. …”
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