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A Heterogeneity-Aware Semi-Decentralized Model for a Lightweight Intrusion Detection System for IoT Networks Based on Federated Learning and BiLSTM
Published 2025-02-01“…Most IoT devices have limited resource capabilities (e.g., memory capacity, processing power, and energy consumption) to function as conventional intrusion detection systems (IDSs). …”
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463
Enhancing Human Detection in Occlusion-Heavy Disaster Scenarios: A Visibility-Enhanced DINO (VE-DINO) Model with Reassembled Occlusion Dataset
Published 2025-01-01“…VE-DINO enhances detection accuracy by incorporating body part key point information and employing a specialized loss function. …”
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464
Lightweight coal miners and manned vehicles detection model based on deep learning and model compression techniques: A case study of coal mines in Guizhou region
Published 2025-02-01“…Compared to various lightweight architectures and advanced detection models, this method demonstrates excellent accuracy, lower computational costs, and better real-time performance, providing a feasible coal mine pedestrian-vehicle detection method for resource-constrained coal mine scenarios, meeting the deployment requirements of coal mine video surveillance and enabling real-time alerts for intelligent inspection of coal mine pedestrian-vehicles.…”
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465
IMPLEMENTATION OF LEARNING MANAGEMENT SYSTEMS WITH GENERATIVE ARTIFICIAL INTELLIGENCE FUNCTIONS IN THE POST-PANDEMIC ENVIRONMENT
Published 2024-04-01“…The system goes beyond traditional LMS functionalities by providing suggestions to enhance and diversify lessons. …”
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Executive Functions Assessment Based on Wireless EEG and 3D Gait Analysis During Dual-Task: A Feasibility Study
Published 2024-01-01“…Executive functions (EFs) are neurocognitive processes planning and regulating daily life actions. …”
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468
Detection Model for 5G Core PFCP DDoS Attacks Based on Sin-Cos-bIAVOA
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YOLO-LSM: A Lightweight UAV Target Detection Algorithm Based on Shallow and Multiscale Information Learning
Published 2025-05-01“…To address challenges such as large-scale variations, high density of small targets, and the large number of parameters in deep learning-based target detection models, which limit their deployment on UAV platforms with fixed performance and limited computational resources, a lightweight UAV target detection algorithm, YOLO-LSM, is proposed. …”
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471
Performance optimization of active RIS-assisted near-shore dual-function radar communicaiton system
Published 2025-01-01“…To address the issues of poor communication quality, high demand for radar detection, and scarce scarcity of spectrum resources for maritime users in coastal waters, an offshore dual-function radar communication (DFRC) system assisted by a shipborne active reconfigurable intelligent surface (ARIS) was studied. …”
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472
The Relationship Between Soil and Gut Microbiota Influences the Adaptive Strategies of Goitered Gazelles in the Qaidam Basin
Published 2024-12-01“…Interactions with soil microbiota can shape the composition and function of the gut microbiota, thereby influencing the hosts’ adaptive strategies. …”
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Application of CRISPR-Cas System in Human Papillomavirus Detection Using Biosensor Devices and Point-of-Care Technologies
Published 2025-01-01“…Therefore, the development of rapid, high-throughput, and sensitive HPV detection platforms is important, especially in regions with limited access to advanced medical resources. …”
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474
Objective Function Formulation to Optimize Control Structure Parameters Using Nature-Inspired Optimization Algorithms
Published 2025-06-01“…Moreover, the possibilities of formulating objective functions for nature-inspired optimization algorithms that can be successfully used to solve multi-objective constrained optimization problems are presented. …”
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Fracture maturity controls the complexity of earthquake rupture: evidence from source processes of six moderate earthquakes during swarm activities off the east coast of Izu Penins...
Published 2025-08-01“…We first selected waveforms of smaller earthquakes (Mw3.4–3.9) as empirical Green’s functions and carried out the waveform inversion with 200 time windows for two horizontal components of 10-s-long K-net waveforms. …”
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FCMI-YOLO: An efficient deep learning-based algorithm for real-time fire detection on edge devices.
Published 2025-01-01“…The rapid development of Internet of Things (IoT) technology and deep learning has propelled the deployment of vision-based fire detection algorithms on edge devices, significantly exacerbating the trade-off between accuracy and inference speed under hardware resource constraints. …”
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