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detection during » detection using (Expand Search), detection survey (Expand Search)
during algorithm » scheduling algorithm (Expand Search), cosine algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
cnn algorithm » rd algorithm (Expand Search), colony algorithm (Expand Search), cosine algorithm (Expand Search)
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detection during » detection using (Expand Search), detection survey (Expand Search)
during algorithm » scheduling algorithm (Expand Search), cosine algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
cnn algorithm » rd algorithm (Expand Search), colony algorithm (Expand Search), cosine algorithm (Expand Search)
elements cnn » elements _ (Expand Search)
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CNN and HEVC Video Coding Features for Static Video Summarization
Published 2022“…The proposed solutions are compared with existing works based on an SIFT flow algorithm that uses CNN features. Subsequently, an optional dimensionality reduction based on stepwise regression was applied to the feature vectors prior to detecting key frames. …”
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Machine Learning Techniques for Detecting Attackers During Quantum Key Distribution in IoT Networks With Application to Railway Scenarios
Published 2021“…This paper addresses the problem of IoT security by investigating quantum key distribution (QKD) in beyond 5G networks. An algorithm for detecting an attacker between a transmitter and receiver is proposed, with the side effect of interrupting the QKD process while detecting the attacker. …”
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YOLO-DefXpert: An Advanced Defect Detection on PCB Surfaces Using Improved YOLOv11 Algorithm
Published 2025“…This study introduces an improved PCB defect detection model, YOLO-DefXpert, using the YOLOv11 algorithm to address the low accuracy and efficiency challenges in detecting tiny-sized defects on PCBs. …”
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Application of updated joint detection algorithm for the analysis of drilling parameters of roof bolters in multiple joints conditions
Published 2017“…The main objective of this study is to determine the location of joints and classify rock-strengths by analyzing the drilling data recorded from an instrumented roof bolter while drilling for rock bolt installation during the operational cycle. For this purpose, computer programs based on updated pattern recognition algorithms were developed for joint-detection and classification of rock types to offer an estimated strength. …”
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Automatic Video Summarization Using HEVC and CNN Features
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Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification
Published 2025“…The BRNN model, refined using the Adagrad optimization algorithm, efficiently integrates the learned features from both branches. …”
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Four-dimensional representation and collision detection forpolytopic objects
Published 1998“…Nonlinear programming techniques are then employed to detect possible interference. The algorithm detects in one step whether or not the objects will interfere during their motion which may involve pure translations or rotations or both…”
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Modified arithmetic optimization algorithm for drones measurements and tracks assignment problem
Published 2023“…Simulations and comparisons show the ability of those evolutionary-based algorithms to solve this kind of problem efficiently. …”
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Growing hierarchical self-organizing map for filtering intrusion detection alarms
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Security in wire/wireless networks: sniffing attacks prevention/detection techniques in LAN networks & the effect on biometric technology
Published 2010“…During the past era, Information Technology made a revolution in R&D. …”
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Random Forest Bagging and X‐Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data
Published 2021“…The results revealed that the RFBXSQLQC technique outperforms the existing algorithms by 19% with pattern detection accuracy, 34% minimized time complexity, 64% false-positive rate, and 31% in terms of computational overhead.…”
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A Fully Optical Laser Based System for Damage Detection and Localization in Rail Tracks Using Ultrasonic Rayleigh Waves: A Numerical and Experimental Study
Published 2022“…Further, As the quality of received signals differs at different sensing points as a result of the surface conditions of the specimen, the Self Adaptive Smart Algorithm (SASA) method was adopted to filter out the noise and accurately pinpoint the defect reflected wave packet which ultimately aids in better detection and localization. …”
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