Results 101 to 110 of about 5,431 (217)
Application of Deep Learning in Virtual Power Plants—A Review
Energy Internet, EarlyView.ABSTRACT The advancement of deep learning (DL) has substantially improved the power grid’s ability to model and optimise diverse and highly complex tasks. Although intelligent transformation is an inevitable trend, traditional approaches increasingly reveal limitations in computational efficiency, nonlinear nonconvex optimisation, and multi‐layer ...
Hongjie Zhu +7 more
wiley +1 more source
Artificial Intelligence in Endodontics—A Bibliometric Analysis
Australian Endodontic Journal, EarlyView.ABSTRACT This study aims to map and evaluate research trends in artificial intelligence applied to endodontics using bibliometric methods. A comprehensive literature search was conducted in PubMed, EMBASE, and Scopus in April 2025 to identify studies addressing artificial intelligence in endodontic diagnosis, treatment, and education. Titles, abstracts,
Eric Chen +6 more
wiley +1 more source
A bidirectional Siamese recurrent neural network for accurate gait recognition using body landmarks
Gait recognition is a significant biometric technique for person identification, particularly in scenarios where other physiological biometrics are impractical or ineffective.
Rahman, Md. Jobayer +5 more
core +1 more source
Siamese neural network for motion detection in video sequences [PDF]
, 2018 We examine the problem of automatic motion detection in video sequences captured by video surveillance systems. The state of the art methods use convolutional neural networks.
Mlakar, Peter
core
Non‐Rigid 3D Shape Correspondences: From Foundations to Open Challenges and Opportunities
Computer Graphics Forum, EarlyView.Abstract Estimating correspondences between deformed shape instances is a long‐standing problem in computer graphics; numerous applications, from texture transfer to statistical modelling, rely on recovering an accurate correspondence map. Many methods have thus been proposed to tackle this challenging problem from varying perspectives, depending on ...
A. Zhuravlev +14 more
wiley +1 more source
CovidExpert: A Triplet Siamese Neural Network framework for the detection of COVID-19 [PDF]
Inform Med Unlocked, 2023 Ornob TR, Roy G, Hassan E.
europepmc +2 more sources
Signature Verification Using Siamese Convolutional Neural Networks
, 2019 This research entails the processes undergone in building a Siamese Neural Network for Signature Verification. This Neural Network which uses two similar base neural networks as its underlying architecture was built, trained and evaluated in this project.
Chinonso Okoli, Chika Yinka-Banjo &
core
Establishing Shape Correspondences: A Survey
Computer Graphics Forum, EarlyView.Abstract Shape correspondence between surfaces in 3D is a central problem in geometry processing, concerned with establishing meaningful relations between surfaces. While all correspondence problems share this goal, specific formulations can differ significantly: Downstream applications require certain properties that correspondences must satisfy ...
A. Heuschling, H. Meinhold, L. Kobbelt
wiley +1 more source
Computer Graphics Forum, EarlyView.Abstract Network visualization has traditionally relied on heuristic metrics, such as stress, under the assumption that optimizing them leads to aesthetic and informative layouts. However, no single metric consistently produces the most effective results.
X. Li, P. Zhang, X. Wang, H. Shen, Y. Hu
wiley +1 more source
Siamese Neural Network for Keystroke Dynamics-Based Authentication on Partial Passwords. [PDF]
Sensors (Basel), 2023 Lis K +2 more
europepmc +1 more source