Results 71 to 80 of about 2,629 (200)

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

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

Spatio‐Temporal Proteomic Landscape Reveals Early Warning Signals of Esophageal Squamous Cell Carcinoma Progression

Advanced Science, Volume 13, Issue 16, 18 March 2026.
This study constructs a proteomic atlas of esophageal squamous cell carcinoma (ESCC) progression using esophageal biopsy samples. It identifies moderate dysplasia as the critical turning stage and a seven‐protein panel for early detection. Functionally, GBP6 loss promotes ESCC progression via cell cycle and epithelial‐mesenchymal transition (EMT ...
Xumiao Li, Jie Yuan, Min Gao, Jibin Liu, Qinqin Wang, Yaqi Zhang, Mingtao Cao, Xiaolin Hu, Hui Yang, Jun Li, Chen Li, Xiaoguang Li, Hui Wang   +12 more
wiley   +1 more source

CRNN: Collaborative Representation Neural Networks for Hyperspectral Anomaly Detection

, 2023
Hyperspectral anomaly detection aims to separate anomalies and backgrounds without prior knowledge. The collaborative representation (CR)-based hyperspectral anomaly detection methods have gained significant interest and development because of their ...
Jinshen Wang, Tongbin Ouyang, Yuxiao Duan   +2 more
core   +1 more source

Uncovering a new species of Hemileccinum (Boletaceae, Basidiomycota) from India with morphological characteristics and multi‐gene molecular phylogeny

Nordic Journal of Botany, Volume 2026, Issue 3, March 2026.
While undertaking macrofungal forays to several forested areas of Uttarakhand (India), a noteworthy and previously unknown species of Hemileccinum was unveiled. This species is proposed here as Hemileccinum indicum sp. nov. It is presented with both morphological characteristics and multigene molecular phylogenetic analysis.
Kanad Das, Sudeshna Datta, Alfredo Vizzini, Aniket Ghosh   +3 more
wiley   +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

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.
François Grondin, James R. Glass, Iwona Sobieraj, Mark D. Plumbley   +3 more
openaire   +3 more sources

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

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  

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