Results 21 to 30 of about 3,985,830 (299)
Evaluation of acoustic pattern recognition of nightingale (Luscinia megarhynchos) recordings by citizens [PDF]
Acoustic pattern recognition methods introduce new perspectives for species identification, biodiversity monitoring and data validation in citizen science but are rarely evaluated in real world scenarios. In this case study we analysed the performance of
Marcel Stehle +3 more
doaj +3 more sources
Automatic Reading of ANCA-Slides: Evaluation of the AKLIDES System
The ANCA consensus prescribes screening by indirect immunofluorescence on neutrophils. We evaluated the first automated ANCA-pattern recognition system. C-ANCA and P-ANCA samples were selected from patients with ANCA-associated vasculitis (AAV).
Jan Damoiseaux +4 more
doaj +1 more source
AidUI: Toward Automated Recognition of Dark Patterns in User Interfaces
13 pages, Accepted at The 45th IEEE/ACM International Conference on Software Engineering (ICSE 2023), Melbourne, Australia, May 14th-20th ...
S. M. Hasan Mansur 0001 +3 more
openaire +3 more sources
Introduction: The Pan American Health Organization (PHO) and the World Health Organization (WHO) accepted, since the year 1993 and 1996 respectively, that violence is a public health problem, a situation that is corroborated in the report on violence and
Ricardo Timaran-Pereira +2 more
doaj +1 more source
Gait Recognition by Dynamic Cues
Many studies have now shown that it is possible to recognize people by the way they walk. As yet there has been little formal study of people recognition using the kinematic-related gait features.
Nixon, Mark, Bouchrika, Imed
core +2 more sources
CNN and KPCA-Based Automated Feature Extraction for Real Time Driving Pattern Recognition
Driving conditions greatly affect the energy control and the fuel economy of a hybrid electric vehicle (HEV). In this paper, an automated feature extraction scheme based on convolution neural networks (CNNs) and Kernel PCA (KPCA) for real time driving ...
Liang Xie +3 more
doaj +1 more source
Feature learning via partial differential equation with applications to face recognition
Feature learning is a critical step in pattern recognition, such as image classification. However, most of the existing methods cannot extract features that are discriminative and at the same time invariant under some transforms.
Fang, Cong +7 more
core +1 more source
Pattern recognition software and techniques for biological image analysis.
The increasing prevalence of automated image acquisition systems is enabling new types of microscopy experiments that generate large image datasets. However, there is a perceived lack of robust image analysis systems required to process these diverse ...
Lior Shamir +4 more
doaj +1 more source
Automated phenotype pattern recognition of zebrafish for high-throughput screening [PDF]
Over the last years, the zebrafish (Danio rerio) has become a key model organism in genetic and chemical screenings. A growing number of experiments and an expanding interest in zebrafish research makes it increasingly essential to automatize the distribution of embryos and larvae into standard microtiter plates or other sample holders for screening ...
Schutera, Mark +7 more
openaire +4 more sources
Informative shape representations for human action recognition
Shape and kinematics are two important cues in human movement analysis. Due to real difficulties in extracting kinematics from videos accurately, this paper proposes to address the problem of human action recognition by spatiotemporal shape analysis ...
Liang Wang +3 more
core +1 more source

