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Indoor Group Identification and Localization Using Privacy-Preserving Edge Computing Distributed Camera Network
Published 2024-01-01“…The proposed method can localize group formations when provided with noisy positions and orientations of individuals, estimated from sparsely distributed multiview cameras, which run a lightweight multiperson 2-D pose detection model. …”
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242
FBI-Net: Frequency-Based Image Forgery Localization via Multitask Learning With Self-Attention
Published 2022-01-01Subjects: Get full text
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243
Predicting Disease Progression in Inoperable Localized NSCLC Patients Using ctDNA Machine Learning Model
Published 2024-10-01“…Results Our cfDNA neomer profiling assay showed excellent performance in detecting patients with a high risk for disease progression. …”
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244
Local Transmissibility-Based Identification of Structural Damage Utilizing Positive Learning Strategies
Published 2025-06-01Subjects: Get full text
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245
Concrete Damage Identification and Localization for Structural Health Monitoring Based on Piezoelectric Sensors
Published 2025-04-01Subjects: Get full text
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246
FinGraphFL: Financial Graph-Based Federated Learning for Enhanced Credit Card Fraud Detection
Published 2025-04-01Get full text
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247
Accurate size-based protein localization from cryo-ET tomograms
Published 2024-12-01Get full text
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248
Wrong FIX detection of RTK-GNSS positioning using the 3D point cloud of surrounding environment
Published 2025-07-01Get full text
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249
Noise Effects on Detection and Localization of Faults for Unified Power Flow Controller-Compensated Transmission Lines Using Traveling Waves
Published 2025-05-01Subjects: Get full text
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250
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Deep learning model based on cascaded autoencoders and one‐class learning for detection and localization of anomalies from surveillance videos
Published 2022-07-01“…The authors achieved a reasonably significant performance in terms of an equal error rate and the time required for anomaly detection and localization comparable to standard benchmarked approaches, thus, qualifies to work in a near‐real‐time manner for anomaly detection and localization.…”
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252
The RF–Absolute Gradient Method for Localizing Wheat Moisture Content’s Abnormal Regions with 2D Microwave Scanning Detection
Published 2025-07-01“…Furthermore, both one- and two-dimensional localizing methods were proposed for localizing abnormal moisture regions. …”
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253
Road Extraction from High-Resolution SAR Images via Automatic Local Detecting and Human-Guided Global Tracking
Published 2012-01-01“…A new road center-point searching method is proposed by two alternant steps: local detection and global tracking. In local detection step, double window model is set, which consists of the outer fixed square window and the inner rotary rectangular one. …”
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254
Localization of Multiple GNSS Interference Sources Based on Target Detection in C/N<sub>0</sub> Distribution Maps
Published 2025-07-01Subjects: Get full text
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255
Design of tomato picking robot detection and localization system based on deep learning neural networks algorithm of Yolov5
Published 2025-02-01“…This paper proposes a tomato detection and localization system that integrates the YOLOv5 deep learning algorithm with the SGBM algorithm to improve detection accuracy and three-dimensional localization of tomatoes in complex environments. …”
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256
Golden Chip-Free Hardware Trojan Detection Using Attention-Based Non-Local Convolution With Simple Recurrent Unit
Published 2025-01-01Subjects: Get full text
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Real-Time Detection and Localization of Force on a Capacitive Elastomeric Sensor Array Using Image Processing and Machine Learning
Published 2025-05-01“…However, achieving accurate real-time force detection and spatial localization remains a significant challenge, especially in dynamic, non-rigid environments like prosthetic liners. …”
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A Physics-Guided Neural Network for Flooding Area Detection Using SAR Imagery and Local River Gauge Observations
Published 2025-01-01“…We apply the Pearson correlation coefficient between the predicted sum of water extent areas and the local water level observations of river water elevations as the loss function. …”
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