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1
Anomaly detection through spatio-temporal context modeling in crowded scenes
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2
Automated Face Detection Using Skin Color Segmentation and Viola-Jones Algorithm
Published 2019“…Other color model such as HSV and benchmarked algorithm are having slightly low detection rates due to some false face detection. …”
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3
Process fault detection and diagnosis using Boolean representation on fatty acid fractionation column
Published 2003“…Through the proposed algorithm, various faults could be simulated and detected using the system. …”
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4
An Adaptive Switching Cooperative Source Searching And Tracing Algorithms For Underwater Acoustic Source Localization
Published 2019“…In a source searching task, two possible scenarios can occur: source detected and source not detected. In this study, a complete solution to the two scenarios through an adaptive algorithm switching strategy is explored. …”
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5
Hybrid weight deep belief network algorithm for anomaly-based intrusion detection system
Published 2022“…The optimized DBN algorithm, known as the HW-DBN algorithm, integrated through feature learning based on a Gaussian–Bernoulli Restricted Boltzmann Machine as well as classification task through a weight neuron network. …”
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6
Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application
Published 2023“…Furthermore, an algorithm for hidden target detection has been developed. …”
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7
Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application
Published 2023“…Furthermore, an algorithm for hidden target detection has been developed. …”
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8
Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application
Published 2023“…Furthermore, an algorithm for hidden target detection has been developed. …”
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9
Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application
Published 2023“…Furthermore, an algorithm for hidden target detection has been developed. …”
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10
Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application
Published 2023“…Furthermore, an algorithm for hidden target detection has been developed. …”
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11
Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application
Published 2023“…Furthermore, an algorithm for hidden target detection has been developed. …”
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12
Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application
Published 2023“…Furthermore, an algorithm for hidden target detection has been developed. …”
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13
Concrete surface inspection by using unmanned aerial vehicle (UAV) and deep learning algorithms YOLOv7 / Saffa Nasuha Rusdinadi
Published 2024“…This research aims to improve the detection and analysis of cracks on concrete surfaces by utilizing UAVs and yolo algorithms. …”
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14
Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application
Published 2023“…Furthermore, an algorithm for hidden target detection has been developed. …”
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15
Ultra-wide band antipodal Vivaldi antenna design using target detection algorithm for detection application
Published 2023“…Furthermore, an algorithm for hidden target detection has been developed. …”
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16
Mobile Malware Classification via System Calls and Permission for GPS Exploitation
Published 2024Article -
17
Detection of in-car-abandoned children via deep learning algorithm / Mohd Farhan Mohd Pauzi
Published 2022“…This problem occurs due to lacking of existing system in detecting children image in a car. Therefore, this study aims to detect the existence of "in-car-abandoned children" using deep learning algorithm. …”
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18
Concrete surface inspection by using Unmanned Aerial Vehicle (UAVs) and deep learning algorithms Yolov7
Published 2024“…This research aims to evaluate the detection and analysis of cracks on concrete surfaces by utilizing Uavs and Yolo algorithms. …”
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19
DeepIoT.IDS: Hybrid deep learning for enhancing IoT network intrusion detection
Published 2021“…Recently, researchers have suggested deep learning (DL) algorithms to define intrusion features through training empirical data and learning anomaly patterns of attacks. …”
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20
Toward heterogeneous computing to facilitate sequential OLAP real-time applications
Published 2016“…The optimized algorithm is dedicated to detect patterns over parallel data streams in Real-Time. …”
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