Results 41 to 50 of about 6,923,403 (242)

Abnormal behavior detection in LWIR surveillance of railway platforms

, 2017
In this paper we present a framework that is able to reliably and completely autonomously detect abnormal behavior in surveillance images. As input, we rely solely on a long-wave infrared (LWIR) image sensor.
Vennekens, Joost, Beeck, Kristof, Engeland, Kristof, Goedemé, Toon   +3 more
core   +2 more sources

A deep learning based detection algorithm for anomalous behavior and anomalous item on buses

Scientific Reports
This paper proposes a new strategy for analysing and detecting abnormal passenger behavior and abnormal objects on buses. First, a library of abnormal passenger behaviors and objects on buses is established. Then, a new mask detection and abnormal object
Shida Liu, Yu Bi, Qingyi Li, Ye Ren, Honghai Ji, Li Wang   +5 more
doaj   +1 more source

A Review of Flight Abnormal Behavior Analysis and Trajectory Anomaly Detection Methods

Aerospace
Air traffic is increasingly complicated, and with the expansion of the aviation industry, a growing emphasis on the safety of flight is being driven. According to flight experience and safety regulation standards, flight abnormal behavior is typically ...
Yexin Wu, Yifei Zhao, Hongyong Wang
doaj   +1 more source

Real-valued negative selection algorithm for abnormal earthquake detection [PDF]

, 2012
Earthquake prediction has been a research topic for many years. Many attempts have been made to predict the behavior of earthquake. However, there is yet another field of interest that is seldom explored by the researchers, which is detecting the ...
Hasan, Zeyad Abd. Algfoor
core  

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

FEBS Letters, EarlyView.
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa, Shinya Sugimoto, Toshiro Sato   +2 more
wiley   +1 more source

Blockchain abnormal behavior awareness methods: a survey

Cybersecurity, 2022
With the wide application and development of blockchain technology in various fields such as finance, government affairs and medical care, security incidents occur frequently on it, which brings great threats to users’ assets and information.
Chuyi Yan, Chen Zhang, Zhigang Lu, Zehui Wang, Yuling Liu, Baoxu Liu   +5 more
doaj   +1 more source

High-Dimensional Energy Consumption Anomaly Detection: A Deep Learning-Based Method for Detecting Anomalies

Energies, 2022
With the increase of energy demand, energy wasteful behavior is inevitable. To reduce energy waste, it is crucial to understand users’ electricity consumption habits and detect abnormal usage behavior in a timely manner.
Haipeng Pan, Zhongqian Yin, Xianzhi Jiang   +2 more
doaj   +1 more source

Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential

FEBS Letters, EarlyView.
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta, Hari Baskar Balasubramanian, Amir Pasokh, Marietta Zille   +3 more
wiley   +1 more source

Translophagy—A potential link between autophagy impairment and translational errors

FEBS Letters, EarlyView.
Neurodegenerative diseases are characterised by the accumulation of abnormal proteins and protein aggregates, but their origin often remains unknown. We propose that selective autophagy removes damaged protein‐making machinery, preventing errors during protein synthesis.
Mykola V. Korolchuk, Gailing Ma, Robin Antrobus, Diego Manni, Marco Trevisan‐Herraz, Mustafa Khwaja, Max Brown, Gavin D. Richardson, Masaaki Komatsu, Daniel Erskine, Viktor I. Korolchuk, Tetsushi Kataura   +11 more
wiley   +1 more source

A Method of Abnormal Behavior Detection for Safety Site Surveillance

IET Signal Processing
In order to accurately detect and give alerts to the anomalies in visual images, this paper proposes an image anomaly detection method. For the complex background in the image, a multiframe differential superposition algorithm is proposed to denoise the ...
Wenjing Wang, Yangyang Zhang, QingE Wu
doaj   +1 more source