Results 81 to 90 of about 2,629 (200)

Comparative Evaluation of Deep Learning Architectures for Printed and Handwritten Farsi OCR [PDF]

Journal of Artificial Intelligence and Data Mining
Farsi optical character recognition remains challenging due to the script’s cursive structure, positional glyph variations, and frequent diacritics. This study conducts a comparative evaluation of five foundational deep learning architectures widely used
Fatemeh Asadi-Zeydabadi, Ali Afkari-Fahandari, Elham Shabaninia, Hossein Nezamabadi-pour   +3 more
doaj   +1 more source

Internet of Medical Things‐Driven Deep Learning Approach for Automated Heart Sound Classification

IET Biometrics, Volume 2026, Issue 1, 2026.
The Internet of Medical Things (IoMT) has emerged as a transformative force in healthcare, enabling the development of innovative and noninvasive diagnostic tools that leverage connected technologies. This research focuses on the application of IoMT in conjunction with deep learning techniques to detect and classify heart diseases through the analysis ...
Muhammad Sajid, Ghulam Gilanie, Syeda Naila Batool, Salil Bharany, Rania M. Ghoniem, Amna Ikram, Shefali Gupta, Belayneh Matebie Taye, Junlin Hu   +8 more
wiley   +1 more source

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

High-Resolution Land-Cover Mapping Based on a Cross-Resolution Deep Learning Framework and Available Low-Resolution Labels

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
High-resolution land cover mapping (LCM) is pivotal in numerous disciplines but still challenging to be acquired because traditional supervised methods require a substantial number of high-resolution labels that is labouring and expensive. To this issue,
Xiaoman Qi, Junhuan Peng, Yuebin Wang, Xiaotong Qi, Yun Peng   +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

Main Melody Estimation with Source-Filter NMF and CRNN

, 2018
Estimating the main melody of a polyphonic audio recording remains a challenging task. We approach the task from a classification perspective and adopt a convolutional recurrent neural network (CRNN) architecture that relies on a particular form of pretraining by source-filter nonnegative matrix factorisation (NMF).
Dogac Basaran, Slim Essid, Geoffroy Peeters   +2 more
openaire   +3 more sources

Hybrid Deep Learning Frameworks for License Plate Recognition in Complex Environments: A Comprehensive Survey and Research Outlook

IET Computer Vision, Volume 20, Issue 1, January/December 2026.
This survey systematically reviews state‐of‐the‐art license plate recognition methods, with a focus on hybrid CNN‐transformer frameworks and the joint optimisation of detection and recognition for real‐world deployment. It further analyses existing datasets, highlights persistent challenges, such as domain generalisation, and outlines pathways towards ...
SanXing Deng, Ewe Lay Sheng, Tiong Sieh Kiong, MengMeng Yang   +3 more
wiley   +1 more source

Towards cross-modal pre-training and learning tempo-spatial characteristics for audio recognition with convolutional and recurrent neural networks

EURASIP Journal on Audio, Speech, and Music Processing, 2020
In this paper, we investigate the performance of two deep learning paradigms for the audio-based tasks of acoustic scene, environmental sound and domestic activity classification.
Shahin Amiriparian, Maurice Gerczuk, Sandra Ottl, Lukas Stappen, Alice Baird, Lukas Koebe, Björn Schuller   +6 more
doaj   +1 more source

Detection and localization of audio event for home surveillance using CRNN [PDF]

Safety and security have been a prime priority in people’s lives, and having a surveillance system at home keeps people and their property more secured.
Ramachandran, K. I., Smita, V., Rolant Gini, J., Suruthhi, V.S.   +3 more
core   +1 more source

Terminal strip detection and recognition based on improved YOLOv7-tiny and MAH-CRNN+CTC models

Frontiers in Energy Research
For substation secondary circuit terminal strip wiring, low efficiency, less easy fault detection and inspection, and a variety of other issues, this study proposes a text detection and identification model based on improved YOLOv7-tiny and MAH-CRNN+CTC ...
Guo Zhijun, Luo Weiming, Chen Qiujie, Zou Hongbo   +3 more
doaj   +1 more source