Results 61 to 70 of about 1,688 (176)

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

Real-time arrival picking of rock microfracture signals based on convolutional-recurrent neural network and its engineering application

Journal of Rock Mechanics and Geotechnical Engineering
Accurately picking P- and S-wave arrivals of microseismic (MS) signals in real-time directly influences the early warning of rock mass failure. A common contradiction between accuracy and computation exists in the current arrival picking methods. Thus, a
Bing-Rui Chen, Xu Wang, Xinhao Zhu, Qing Wang, Houlin Xie   +4 more
doaj   +1 more source

Joint recognition and localization of gunshot based on deep learning [PDF]

Zhihui kongzhi yu fangzhen
In response to the existing gun sound recognition and positioning tasks, which require separate identification and positioning, resulting in time-consuming computation, system redundancy, and complex development processes, this paper proposes to use a ...
MA Mingxing, LI Jian, ZENG Yuan, HE Bin, PANG Runjia
doaj   +1 more source

Performance Analysis of 3D Video Transmission Over Deep-Learning-Based Multi-Coded N-ary Orbital Angular Momentum FSO System

IEEE Access, 2021
Orbital angular momentum-shift keying (OAM-SK), which is the rapid switching of OAM modes, is vital but seriously impeded by the deficiency of OAM demodulation techniques, particularly when videos are transmitted over the system.
Shimaa A. El-Meadawy, Hossam M. H. Shalaby, Nabil A. Ismail, Ahmed E. A. Farghal, Fathi E. Abd El-Samie, Mohammed Abd-Elnaby, Walid El-Shafai   +6 more
doaj   +1 more source

A parametrically‐Conditioned Deep Learning Surrogate for Coherent Spinodal Decomposition

Advanced Theory and Simulations, Volume 9, Issue 2, February 2026.
Spinodal decomposition of strained alloys with cubic anisotropy is reproduced by a Convolutional Recurrent Neural Network, taking the misfit parameter as explicit input to return different morphologies. The predicted composition fields match phase‐field simulations over a broad range of parameters, allowing to reconstruct the full phase diagram.
Andrea Fantasia, Daniele Lanzoni, Niccolò Di Eugenio, Angelo Monteleone, Roberto Bergamaschini, Francesco Montalenti   +5 more
wiley   +1 more source

AVCLNet: Multimodal Multispeaker Tracking Network Using Audio‐Visual Contrastive Learning

CAAI Transactions on Intelligence Technology, Volume 11, Issue 1, Page 238-255, February 2026.
ABSTRACT Audio‐visual speaker tracking aims to determine the locations of multiple speakers in the scene by leveraging signals captured from multisensor platforms. Multimodal fusion methods can improve both the accuracy and robustness of speaker tracking.
Yihan Li, Yidi Li, Zhenhuan Xu, Hao Guo, Mengyuan Liu, Weiwei Wan   +5 more
wiley   +1 more source

TargetGen‐RNN model discovers novel antibiotic compound targeting drug‐resistant Staphylococcus aureus

Interdisciplinary Medicine, Volume 4, Issue 1, January 2026.
TargetGen‐recurrent neural network (RNN), an advanced generative model, generated 28,708 unique and novel compounds, identifying SAK‐2970 as a potent antibiotic against drug‐resistant Staphylococcus aureus. Exhibiting strong biofilm inhibition, high therapeutic efficacy, and minimal systemic toxicity in vivo, SAK‐2970 highlights its safety and clinical
Shakeel Ahmad Khan, Adnan Shakoor, Sadia Kanwal   +2 more
wiley   +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

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  

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