Results 31 to 40 of about 53,796 (278)
A Drift-Aware Online Learner for Anomaly Detection from Streaming Data [PDF]
هوش محاسباتی در مهندسی برق, 2022 Streaming data has been evolved in a dynamically changing and evolving environment. Therefore, concept drift or changing the underlying distribution of data over time is considered as an important challenge in processing this type of data.
Maryam Amoozegar +3 more
doaj +1 more source
RoADS: A Road Pavement Monitoring System for Anomaly Detection Using Smart Phones [PDF]
, 2016 Monitoring the road pavement is a challenging task. Authorities spend time and finances to monitor the state and quality of the road pavement. This paper investigate road surface monitoring with smartphones equipped with GPS and inertial sensors: accelerometer and gyroscope.
Seraj, Fatjon +4 more
openaire +2 more sources
A multi-method approach to delineate and validate migratory corridors [PDF]
, 2017 Context: Managers are faced with numerous methods for delineating wildlife movement corridors, and often must make decisions with limited data. Delineated corridors should be robust to different data and models.
Bond, Monica L. +4 more
core +1 more source
Proactive threat detection for connected cars using recursive Bayesian estimation [PDF]
, 2017 Upcoming disruptive technologies around autonomous driving of connected cars have not yet been matched with appropriate security by design principles and lack approaches to incorporate proactive preventative measures in the wake of increased cyber ...
al-Khateeb, Haider +4 more
core +3 more sources
Anomaly Detection in Roads with a Data Mining Approach
Procedia Computer Science, 2017 Road condition has an important role in our daily live. Anomalies in road surface can cause accidents, mechanical failure, stress and discomfort in drivers and passengers. Governments spend millions each year in roads maintenance for maintaining roads in good condition.
Silva, Nuno Alberto Ribeiro +4 more
openaire +2 more sources
Environment Monitoring for Anomaly Detection System Using Smartphones
Sensors, 2019 Currently, the popularity of smartphones with networking capabilities equipped with various sensors and the low cost of the Internet have opened up great opportunities for the use of smartphones for sensing systems.
Van Khang Nguyen +2 more
doaj +1 more source
Detecting the Unexpected via Image Resynthesis
, 2019 Classical semantic segmentation methods, including the recent deep learning ones, assume that all classes observed at test time have been seen during training.
Fua, Pascal +3 more
core +1 more source
IEEE AccessIn the modern automotive industry, Advanced Driving Assistance Systems (ADAS) have gradually become a standard feature in various types of vehicles, with the important function of detecting road anomalies.
Wenyan Ci +3 more
doaj +1 more source
Conflict-driven Hybrid Observer-based Anomaly Detection
, 2017 This paper presents an anomaly detection method using a hybrid observer -- which consists of a discrete state observer and a continuous state observer. We focus our attention on anomalies caused by intelligent attacks, which may bypass existing anomaly ...
balluchi +10 more
core +1 more source
Detecting Anomalies and Obstacles in Road Scenes
, 2023 We address the problem of segmenting anomalies and unusual obstacles in road scenes for the purpose of self-driving safety. The objects in question are not present in the common training sets as it is not feasible to collect and annotate examples for every possible danger on the road.
openaire +1 more source