Results 31 to 40 of about 405,051 (265)

On adaptive underwater object detection [PDF]

2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011
A new algorithm for the detection of underwater objects in sonar imagery is proposed. One particularly novel component of the algorithm also detects the presence of, and estimates the orientation of, sand ripples. The overall algorithm is made extremely fast by employing a cascaded architecture and by exploiting integral-image representations.
openaire   +1 more source

Domain adaptive object detection [PDF]

2013 IEEE Workshop on Applications of Computer Vision (WACV), 2013
We study the use of domain adaptation and transfer learning techniques as part of a framework for adaptive object detection. Unlike recent applications of domain adaptation work in computer vision, which generally focus on image classification, we explore the problem of extreme class imbalance present when performing domain adaptation for object ...
Fatemeh Mirrashed, Vlad I. Morariu, Behjat Siddiquie, Rogério Schmidt Feris, Larry S. Davis   +4 more
openaire   +1 more source

Abnormal Driving Behavior Detection Method Based on Adaptive Gamma Correction [PDF]

Jisuanji gongcheng, 2023
To address the problems of low detection accuracy and slow detection speed of heavy truck driver abnormal driving behavior detection methods under low illumination conditions, an abnormal driving behaviors detection method based on adaptive Gamma ...
Qingsong AI, Haozhe ZHANG, Junwei YAN
doaj   +1 more source

Enhancing Case-based Reasoning Approach using Incremental Learning Model for Automatic Adaptation of Classifiers in Mobile Phishing Detection

International Journal of Networked and Distributed Computing (IJNDC), 2020
This article presents the threshold-based incremental learning model for a case-base updating approach that can support adaptive detection and incremental learning of Case-based Reasoning (CBR)-based automatic adaptable phishing detection.
San Kyaw Zaw, Sangsuree Vasupongayya
doaj   +1 more source

Temporal Decay Loss for Adaptive Log Anomaly Detection in Cloud Environments

Sensors
Log anomaly detection in cloud computing environments is essential for maintaining system reliability and security. While sequence modeling architectures such as LSTMs and Transformers have been widely employed to capture temporal dependencies in log ...
Lelisa Adeba Jilcha, Deuk-Hun Kim, Jin Kwak   +2 more
doaj   +1 more source

Adaptive Weights Community Detection

, 2022
Preprint: Weierstraß-Institut für Angewandte Analysis und Stochastik, vol ...
Besold, Franz, Spokoiny, Vladimir
openaire   +2 more sources

Improved Adaptive Constant False Alarm Rate Detector Based on Fuzzy Theory for Multiple-Target Scenario

Applied Sciences
An improved adaptive constant false alarm rate (CFAR) detector based on fuzzy theory is proposed to address the issue of poor detection performance and robustness of the variability index (VI) class CFAR detectors due to the misjudgment of the background
Xudong Yang, Chunbo Xiu
doaj   +1 more source

Adaptive Suppression Method of LiDAR Background Noise Based on Threshold Detection

Applied Sciences, 2023
Background radiation in the LiDAR detection field of view is complex and variable, and the background noise generated can easily cause false alarms in the receiver, which affects the effective detection of the system.
Yan Jiang, Jingguo Zhu, Chenghao Jiang, Tianpeng Xie, Ruqing Liu, Yu Wang   +5 more
doaj   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Adaptive Detection Method for Result Tampering Based on Task Importance Awareness

Taiyuan Ligong Daxue xuebao
Purposes In distributed collaborative computing environments, to address the challenge that computation results are tampered and detection costs are high, an adaptive detection strategy is designed by incorporating task importance.
HUO Yingyu, LIU Qi, ZHAO Zhihui, CHEN Yongle   +3 more
doaj   +1 more source