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581
Neural Network for Enhancing Robot-Assisted Rehabilitation: A Systematic Review
Published 2025-01-01“…By categorizing the studies based on robot-assisted joints, sensor systems, and control methodologies, we offer a comprehensive overview of neural network applications in this field. Our findings demonstrate that neural networks, such as Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM), Radial Basis Function Neural Networks (RBFNNs), and other forms of neural networks significantly contribute to patient-specific rehabilitation by enabling adaptive learning and personalized therapy. …”
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582
Siamese Neural Networks in Unmanned Aerial Vehicle Target Tracking Process
Published 2025-01-01“…Aiming at the problem of low recognition accuracy of small target, a target tracking model of UAV based on siamese neural network (SNN) is studied. Firstly, based on the YOLOv5 recognition model, convolutional attention module and multi-scale feature fusion network are introduced. …”
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583
Spiking Neural Networks for Energy-Efficient Acoustic Emission-Based Monitoring
Published 2024-01-01“…Furthermore, the event-driven capabilities of neuromorphic architectures (and spiking neural networks (SNNs) in particular) in processing spiky and sparse temporal information are exploited to retrieve ToA in a beyond state-of-the-art power-efficient manner and negligible loss of performance with respect to standard models. …”
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584
FFL-IDS: A Fog-Enabled Federated Learning-Based Intrusion Detection System to Counter Jamming and Spoofing Attacks for the Industrial Internet of Things
Published 2024-12-01Subjects: “…convolutional neural network…”
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585
A CNN-LSTM Phase Compensation Method for Unidirectional Two-way Radio Frequency Transmission System
Published 2024-01-01Subjects: “…Convolutional neural network…”
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586
Spatial Cognitive EEG Feature Extraction and Classification Based on MSSECNN and PCMI
Published 2024-12-01Subjects: Get full text
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587
Inception neural network for human activity recognition using wearable sensor
Published 2017-11-01“…The experience from computer vision was learned,an innovative neural network model called InnoHAR (inception neural network for human activity recognition) based on the inception neural network and recurrent neural network was put forward,which started from an end-to-end multi-channel sensor waveform data,followed by the 1×1 convolution for better combination of the multi-channel data,and the various scales of convolution to extract the waveform characteristics of different scales,the max-pooling layer to prevent the disturbance of tiny noise causing false positives,combined with the feature of GRU helped to time-sequential modeling,made full use of the characteristics of data classification task.Compared with the state-of-the-art neural network model,the InnoHAR model has a promotion of 3% in the recognition accuracy,which has reached the state-of-the-art on the dataset we used,at the same time it still can guarantee the real-time prediction of low-power embedded platform,also with more space for future exploration.…”
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588
Subset-Selection Weight Post-Training Quantization Method for Learned Image Compression Task
Published 2025-01-01Subjects: “…Convolutional neural network…”
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589
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End-Edge Collaborative Lightweight Secure Federated Learning for Anomaly Detection of Wireless Industrial Control Systems
Published 2024-01-01Subjects: Get full text
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591
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592
Research on algorithm for improving imaging accuracy of CFRP low speed impact damage
Published 2025-02-01Subjects: “…convolutional neural network (cnn)…”
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593
Deep learning and hyperspectral features for seedling stage identification of barnyard grass in paddy field
Published 2025-02-01Subjects: Get full text
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594
Estimation of internal displacement in Ukraine from satellite-based car detections
Published 2024-12-01Subjects: Get full text
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595
Pedestrian surveillance system based on mobile vehicle
Published 2017-02-01Subjects: Get full text
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596
Image experience prediction for historic districts using a CNN-transformer fusion model
Published 2025-02-01Subjects: Get full text
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597
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A VVC intra coding method based on fast partition for coding unit
Published 2024-08-01Subjects: Get full text
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599
DETECTION OF KERATOCONUS DISEASE DEPENDING ON CORNEAL TOPOGRAPHY USING DEEP LEARNING
Published 2025-02-01Subjects: Get full text
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600
Clinical validation of an artificial intelligence algorithm for classifying tuberculosis and pulmonary findings in chest radiographs
Published 2025-02-01Subjects: Get full text
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