Search Results - "DETECTION algorithms"

A Survey on the Detection Algorithms for False Data Injection Attacks in Smart Grids by Musleh, Ahmed S., Chen, Guo, Dong, Zhao Yang

“…Cyber-physical attacks are the main substantial threats facing the utilization and development of the various smart grid technologies. Among these attacks,…”
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Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images by Du, Bo, Ru, Lixiang, Wu, Chen, Zhang, Liangpei

“…Change detection has been a hotspot in the remote sensing technology for a long time. With the increasing availability of multi-temporal remote sensing images,…”
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Real-Time Change Point Detection with Application to Smart Home Time Series Data by Aminikhanghahi, Samaneh, Wang, Tinghui, Cook, Diane J.

“…Change Point Detection (CPD) is the problem of discovering time points at which the behavior of a time series changes abruptly. In this paper, we present a…”
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Slow Feature Analysis for Change Detection in Multispectral Imagery by Wu, Chen, Du, Bo, Zhang, Liangpei

“…Change detection was one of the earliest and is also one of the most important applications of remote sensing technology. For multispectral images, an…”
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Combination of Video Change Detection Algorithms by Genetic Programming by Bianco, Simone, Ciocca, Gianluigi, Schettini, Raimondo

“…Within the field of computer vision, change detection algorithms aim at automatically detecting significant changes occurring in a scene by analyzing the…”
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Malware Analysis by Combining Multiple Detectors and Observation Windows by Ficco, Massimo

“…Malware developers continually attempt to modify the execution pattern of malicious code hiding it inside apparent normal applications, which makes its…”
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SzCORE : Seizure Community Open‐Source Research Evaluation framework for the validation of electroencephalography ‐based automated seizure detection algorithms by Dan, Jonathan, Pale, Una, Amirshahi, Alireza, Cappelletti, William, Ingolfsson, Thorir Mar, Wang, Xiaying, Cossettini, Andrea, Bernini, Adriano, Benini, Luca, Beniczky, Sándor, Atienza, David, Ryvlin, Philippe

“…The need for high‐quality automated seizure detection algorithms based on electroencephalography (EEG) becomes ever more pressing with the increasing use of…”
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Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics by Li, Yuezun, Yang, Xin, Sun, Pu, Qi, Honggang, Lyu, Siwei

“…AI-synthesized face-swapping videos, commonly known as DeepFakes, is an emerging problem threatening the trustworthiness of online information. The need to…”
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Concept Drift Detection via Equal Intensity k-Means Space Partitioning by Liu, Anjin, Lu, Jie, Zhang, Guangquan

“…The data stream poses additional challenges to statistical classification tasks because distributions of the training and target samples may differ as time…”
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Style Transformation-Based Spatial-Spectral Feature Learning for Unsupervised Change Detection by Liu, Ganchao, Yuan, Yuan, Zhang, Yuelin, Dong, Yongsheng, Li, Xuelong

“…Due to the inconsistent imaging environment, the styles of multitemporal multispectral images (MSIs) are quite different, such as image brightness and…”
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Pavement distress detection using convolutional neural networks with images captured via UAV by Zhu, Junqing, Zhong, Jingtao, Ma, Tao, Huang, Xiaoming, Zhang, Weiguang, Zhou, Yang

“…Pavement distress detection is crucial in the decision-making for maintenance planning. Unmanned aerial vehicles (UAVs) are helpful in collecting pavement…”
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Toward Robust LiDAR-Camera Fusion in BEV Space via Mutual Deformable Attention and Temporal Aggregation by Wang, Jian, Li, Fan, An, Yi, Zhang, Xuchong, Sun, Hongbin

“…LiDAR and camera are two critical sensors that can provide complementary information for accurate 3D object detection. Most works are devoted to improving the…”
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New Generation Deep Learning for Video Object Detection: A Survey by Jiao, Licheng, Zhang, Ruohan, Liu, Fang, Yang, Shuyuan, Hou, Biao, Li, Lingling, Tang, Xu

“…Video object detection, a basic task in the computer vision field, is rapidly evolving and widely used. In recent years, deep learning methods have rapidly…”
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Computational methods for automatic traffic signs recognition in autonomous driving on road: A systematic review by Chen, Hui, Ali, Mohammed A.H., Nukman, Yusoff, Razak, Bushroa Abd, Turaev, Sherzod, Chen, YiHan, Zhang, Shikai, Huang, Zhiwei, Wang, Zhenya, Abdulghafor, Rawad

“…•Hybrid algorithms for Traffic Sign detection are thoroughly reviewed.•A deep learning is analyzed using regression, segmentation, and hybrid methods.•Feature…”
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Robust Score-Based Quickest Change Detection by Moushegian, Sean, Wu, Suya, Diao, Enmao, Ding, Jie, Banerjee, Taposh, Tarokh, Vahid

“…Methods in the field of quickest change detection rapidly detect in real-time a change in the data-generating distribution of an online data stream. Existing…”
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Fully Convolutional Siamese Networks for Change Detection by Caye Daudt, Rodrigo, Le Saux, Bertr, Boulch, Alexandre

“…This paper presents three fully convolutional neural network architectures which perform change detection using a pair of coregistered images. Most notably, we…”
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Dense Attention Pyramid Networks for Multi-Scale Ship Detection in SAR Images by Cui, Zongyong, Li, Qi, Cao, Zongjie, Liu, Nengyuan

“…Synthetic aperture radar (SAR) is an active microwave imaging sensor with the capability of working in all-weather, all-day to provide high-resolution SAR…”
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Neural Network Detection of Data Sequences in Communication Systems by Farsad, Nariman, Goldsmith, Andrea

“…We consider detection based on deep learning, and show it is possible to train detectors that perform well without any knowledge of the underlying channel…”
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Change Detection From Very-High-Spatial-Resolution Optical Remote Sensing Images: Methods, applications, and future directions by Wen, Dawei, Huang, Xin, Bovolo, Francesca, Li, Jiayi, Ke, Xinli, Zhang, Anlu, Benediktsson, Jon Atli

“…Change detection is a vibrant area of research in remote sensing. Thanks to increases in the spatial resolution of remote sensing images, subtle changes at a…”
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An Online Detection Framework for Cyber Attacks on Automatic Generation Control by Huang, Tong, Satchidanandan, Bharadwaj, Kumar, P. R., Xie, Le

“…We propose an online framework to detect cyberattacks on automatic generation control. A cyberattack detection algorithm is designed based on the approach of…”
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