Results 81 to 90 of about 6,923,403 (242)
An Analysis Method of Crowd Abnormal Behavior for Video Service Robot
IEEE Access, 2019 Abnormal behavior analysis in crowded scenes is a challenging task in the computer vision field. Determining how to quickly and accurately locate abnormal behavior in a crowd, especially in airports, shopping malls, stations, and other practical ...
Shuqiang Guo +4 more
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FEBS Open Bio, EarlyView.Using peripheral blood for determining B‐cell or T‐cell clonality is more reliable when we use cell‐free RNA (cfRNA) because cells release blood significantly more RNA than DNA. Next‐generation sequencing (NGS) of cfRNA allows us to evaluate fragment cfRNA and evaluate clonality reliably without the need for prior determination of the specific dominant
Adam Albitar +11 more
wiley +1 more source
Video-Based Abnormal Driving Behavior Detection via Deep Learning Fusions
IEEE Access, 2019 Video-based abnormal driving behavior detection is becoming more and more popular for the time being, as it is highly important in ensuring safeties of drivers and passengers in the vehicle, and it is an essential step in realizing automatic driving at ...
Wei Huang +5 more
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A robust abnormal behavior detection method using convolutional neural network
, 2019 A behavior is considered abnormal when it is seen as unusual under certain contexts. The definition for abnormal behavior varies depending on situations. For example, people running in a field is considered normal but is deemed abnormal if it takes place
KOM Goh (24052641) +4 more
core
MARK4 enhances stress granule formation under oxidative stress and increases tau accumulation
FEBS Open Bio, EarlyView.MARK4 (red dots) localizes to stress granules (orange dots) and promotes their formation under oxidative stress by modulating TIA1 (blue dots). MARK4 and TIA1 synergistically increase tau (purple) accumulation, and the reduction of the TIA1 ortholog suppresses neurodegeneration in a fly model.
Sho Nakajima +8 more
wiley +1 more source
NABNet: Deep Learning-Based IoT Alert System for Detection of Abnormal Neck Behavior
SensorsThe excessive use of electronic devices for prolonged periods has led to problems such as neck pain and pressure injury in sedentary people. If not detected and corrected early, these issues can cause serious risks to physical health.
Hongshuai Qin, Minya Cai, Huibin Qin
doaj +1 more source
Lightweight multi-class abnormal behavior detection algorithm in complex scenarios [PDF]
PeerJ Computer SciencePublic safety monitoring faces significant challenges including dense occlusion, extreme scale variations, and environmental interference, necessitating efficient and accurate abnormal behavior detection methods. Existing deep learning models struggle to
Jin Li, Lin Wang
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Multi-homed abnormal behavior detection algorithm based on fuzzy particle swarm cluster in user and entity behavior analytics. [PDF]
Sci Rep, 2022 Cui J, Zhang G, Chen Z, Yu N.
europepmc +1 more source
Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level
Aging and Cancer, EarlyView.This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley +1 more source
Abnormal Network Behavior Detection Technology Based on Statistical Learning
大数据, 2015 In recent years, advanced persistent threat (APT) has become the chief threat to enterprise users.The traditional security protection methods, such as signature-based detection and perimeter protection, are insufficient in dealing with APT.Therefore, the
Tao Zhou
doaj