Results 61 to 70 of about 1,913 (199)

Design and Implementation of the Behavior Judgment System for Long‐Distance Track and Field Athletes

IET Computers &Digital Techniques, Volume 2026, Issue 1, 2026.
The traditional method of identifying abnormal behavior in athletes during long‐distance track and field events, particularly through video surveillance, has limitations such as misjudgments and oversight. To address these challenges, this study explores the use of artificial intelligence (AI) and intelligent surveillance technology for event safety ...
Juanjuan Zhu, Rahmat Widia Sembiring
wiley   +1 more source

Smart Project Management: Interactive Platform Using Natural Language Processing Technology

Applied Sciences, 2021
Technological developments have made the construction industry efficient. The aim of this research is to solve communication interaction problems to build a project management platform using the interactive concept of natural language processing ...
Jieh-Haur Chen, Mu-Chun Su, Vidya Trisandini Azzizi, Ting-Kwei Wang, Wei-Jen Lin   +4 more
doaj   +1 more source

Effective Variable‐Speed Bearing Fault Diagnosis From Motor Current Signals Using Kurtosis‐Guided VMD and Multi‐Branch Convolutional Neural Network

IET Control Theory &Applications, Volume 20, Issue 1, January/December 2026.
This study presents a novel deep learning‐based fault classification framework utilising Variational Mode Decomposition (VMD) for adaptive feature extraction and a Multi‐branch Convolutional Neural Network (M1D‐CNN) architecture for classification. The VMD hyperparameters were optimised based on kurtosis to ensure the extraction of the most informative
Seyyid Ahmed Djellouli, Mounir Djeddi, Aissa Kheldoun, Nima Khosravi, Adel Oubelaid   +4 more
wiley   +1 more source

A CRNN‐based method for Chinese ship license plate recognition

IET Image Processing
Existing deep learning methods cannot achieve satisfactory ship license plate (SLP) recognition due to the harsh marine environment, such as foggy weather, unstable ship state and small targets.
Fan Xu, Chuibin Chen, Zhigao Shang, Yuqing Peng, Xinbao Li   +4 more
doaj   +1 more source

Raw Waveform-Based Custom Scalogram CRNN in Cardiac Abnormality Diagnosis

IEEE Access
Cardiovascular disease is a significant cause of death worldwide, emphasizing the crucial need for timely detection and diagnosis of heart abnormalities.
Kodali Radha, Mohan Bansal, Rajeev Sharma   +2 more
doaj   +1 more source

Sound Event Localization and Detection Using CRNN on Pairs of Microphones [PDF]

Proceedings of the Detection and Classification of Acoustic Scenes and Events 2019 Workshop (DCASE2019), 2019
This paper proposes sound event localization and detection methods from multichannel recording. The proposed system is based on two Convolutional Recurrent Neural Networks (CRNNs) to perform sound event detection (SED) and time difference of arrival (TDOA) estimation on each pair of microphones in a microphone array.
Grondin, François, Glass, François, Sobieraj, Iwona, Plumbley, Mark D.   +3 more
openaire   +3 more sources

Artificial Intelligence in Digestive Endoscopy Training—The Past, Present, and Future

Digestive Endoscopy, Volume 38, Issue 1, January 2026.
AI may enhance endoscopy training through improved detection, guidance and evaluation, but demands careful implementation, validation and ethical governance to maximize benefits. ABSTRACT Background and Objective Artificial intelligence (AI) is reshaping gastrointestinal endoscopy, yet its role in training remains unexplored.
Jacky C. L. Ho, Zhouyao Qian, Louis H. S. Lau, Hon‐Chi Yip, Philip W. Y. Chiu   +4 more
wiley   +1 more source

Population‐Level Acoustic Classification of Salish Sea Killer Whales: Integrating Biologically Informed Call Type Balancing to Build Robust Models for Conservation Monitoring

Marine Mammal Science, Volume 42, Issue 1, January 2026.
ABSTRACT There is a pressing need to build population‐specific acoustic classifiers for killer whales (Orcinus orca) in the Salish Sea. However, building datasets that result in generalizable models is challenging due to diverse killer whale repertoires and confounding signals such as humpback whale calls and environmental noise.
K. J. Palmer, April Houweling, Lauren Laturnus, James Pilkington, Amalis Riera Vuibert, Jennifer Wladichuk, Ruth Joy   +6 more
wiley   +1 more source

CycleAugment: Efficient data augmentation strategy for handwritten text recognition in historical document images

Engineering and Applied Science Research, 2022
Predicting the sequence pattern of the handwritten text images is a challenging problem due to various writing styles, insufficient training data, and also background noise appearing in the text images.
Sarayut Gonwirat, Olarik Surinta
doaj  

YUAR: A Reliable Computer Vision Method for Aircraft Docking and Push‐Back Recognition at Airport Gates

Journal of Advanced Transportation, Volume 2026, Issue 1, 2026.
Efficient timing of aircraft docking and push‐back operations is crucial for enhancing the efficiency and reliability of civil aviation operations. Traditional methods suffer from significant data loss, high human involvement, and low accuracy, which are prone to inaccuracies that can disrupt airport scheduling and resource allocation.
Yuandi Zhao, Sixuan Yang, Linlu Luo, Bizhao Pang, Mustafa Zeybek   +4 more
wiley   +1 more source