Results 81 to 90 of about 76,886 (181)
Freight rail activity inventory system using a vision‐based deep learning framework
Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 27, Page 4692-4717, 14 November 2025.Abstract Rail freight serves as a reliable cost‐effective and fuel‐efficient mode for long‐distance ground freight transportation. Existing rail data sources rely heavily on aggregate reports that lead to significant spatiotemporal data gaps for infrastructure planning and regulatory evaluation.
Guoliang Feng +3 more
wiley +1 more source
Applied SciencesPrinted Arabic Optical Character Recognition (OCR) remains challenging due to complex glyph morphology, typographic variability, and sensitivity to Unicode-preserved evaluation protocols. This work introduces a methodology that explicitly treats decoding
Abderrahime Tabzaoui, Loqman Chakir
doaj +1 more source
Decoding Handwriting Trajectories from Intracortical Brain Signals for Brain‐to‐Text Communication
Advanced Science, Volume 12, Issue 40, October 27, 2025.By developing a novel framework that optimizes both shape and temporal loss during decoder training, the authors successfully reconstruct human‐recognizable handwriting trajectories from intracortical neural signals for both Chinese characters and English letters, effectively resolving the temporal misalignment problem in clinical BCIs, thereby ...
Guangxiang Xu +6 more
wiley +1 more source
AerospaceIn the present study, a novel end-to-end automatic speech recognition (ASR) framework, namely, ResNeXt-Mssm-CTC, has been developed for air traffic control (ATC) systems.
Haijun Liang, Hanwen Chang, Jianguo Kong
doaj +1 more source
An Attention-Based Convolutional Recurrent Neural Networks for Scene Text Recognition
IEEE AccessText recognition is critical in various domains, including driving assistance, handwriting recognition, and aiding the visually impaired. In recent years, deep learning-based methods have demonstrated outstanding performance in Scene Text Recognition ...
Adil Abdullah Abdulhussein Alshawi +2 more
doaj +1 more source
An Input-synchronous Blockwise Decoding Algorithm for CTC-AED Speech Recognition
Информатика и автоматизацияAutomatic speech recognition (ASR) systems for real-life scenarios are required to process audio streams of arbitrary length with stable accuracy under limited computational resources.
Iurii Lezhenin, Natalia Bogach
doaj +1 more source
Deep Multilevel Cascade Residual Recurrent Framework (MCRR) for Sheet Music Recognition
IEEE AccessSheet music recognition is a vital technology aimed at converting printed or handwritten musical scores into digital or machine-readable formats.
Ping Yu, Hailing Chen
doaj +1 more source
Deep learning based 3D residual convolutional and Multi-Head Attention (3D-RMA) for lip-reading
Results in Control and OptimizationLip reading, an essential yet intricate facet of communication, has seen notable progress through the application of advanced deep learning techniques. This research introduces a deep learning-based lip-reading model that integrates Conv3D layers, Multi ...
Archana Chaudhari +6 more
doaj +1 more source
Terminal strip detection and recognition based on improved YOLOv7-tiny and MAH-CRNN+CTC models
Frontiers in Energy ResearchFor 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 +3 more
doaj +1 more source
End-to-end handwritten Ge’ez multiple numerals recognition using deep learning
SICE Journal of Control, Measurement, and System IntegrationGe'ez has been used in Ethiopian churches for centuries to read and interpret the Bible. As a part of the liturgy and religious ceremonies, it is also utilized in prayer and chanting.
Ruchika Malhotra, Maru Tesfaye Addis
doaj +1 more source