Results 161 to 170 of about 34,789 (293)

EEG-based emotion recognition using 4D convolutional recurrent neural network. [PDF]

Cogn Neurodyn, 2020
Shen F, Dai G, Lin G, Zhang J, Kong W, Zeng H.   +5 more
europepmc   +1 more source

Single Channel Speech Enhancement Using Temporal Convolutional Recurrent Neural Networks [PDF]

, 2020
Jingdong Li, Hui Zhang, Xueliang Zhang, Changliang Li   +3 more
openalex   +1 more source

Integrating Spatial Proteogenomics in Cancer Research

Advanced Science, EarlyView.
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang, Yang Wu, Feng Zhang, Parthiban Periasamy, Haiyue You, Denise Goh, Rachel Elizabeth Ann Fincham, Xin Ning, Danping Wu, Lu Liu, Ying Jiang, Zhiwen Qian, Joe Yeong, Yan Zhang   +13 more
wiley   +1 more source

SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics

Advanced Science, EarlyView.
ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao, Gaiqin Liu, Jingyi Xia, Runle Chen, Tong Wang, Xiaoling Yang, Ruiling Fang, Yanhong Luo, Ping Zeng, Hongmei Yu, Yanbo Zhang, Yuehua Cui   +11 more
wiley   +1 more source

Predicting spatial esophageal changes in a multimodal longitudinal imaging study via a convolutional recurrent neural network. [PDF]

Phys Med Biol, 2020
Wang C, R Alam S, Zhang S, Hu YC, Nadeem S, Tyagi N, Rimner A, Lu W, Thor M, Zhang P.   +9 more
europepmc   +1 more source

A High-Accuracy Advanced Persistent Threat Detection Model: Integrating Convolutional Neural Networks with Kepler-Optimized Bidirectional Gated Recurrent Units [PDF]

Guangwu Hu, Maomao Sun, Chaoqin Zhang
openalex   +1 more source

Damage Detection in Structural Health Monitoring using Hybrid Convolution Neural Network and Recurrent Neural Network

, 2021
Thanh Bui-Tien, Ngoc Dung Bui, Hieu Nguyen-Tran, Lan Nguyen-Ngoc, H. Tran-Ngoc, Hung Tran-Viet   +5 more
openalex   +2 more sources

Depthwise Separable Convolutions Versus Recurrent Neural Networks for Monaural Singing Voice Separation [PDF]

, 2020
Pyry Pyykkönen, Styliannos I. Mimilakis, Konstantinos Drossos, Tuomas Virtanen   +3 more
openalex   +1 more source

Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence

Advanced Science, EarlyView.
Individual responses to food vary dramatically, challenging traditional dietary advice. This review explores how the unique genetic makeup, gut microbiome, and brain activity shape host metabolic health. We examine how artificial intelligence integrates these multimodal data to predict individualized dietary needs, moving beyond one‐size‐fits‐all ...
Yuanqing Fu, Ke Zhang, Zelei Miao, Gaoyi Yang, Yujing Huang, Ju‐Sheng Zheng   +5 more
wiley   +1 more source

Regression and Classification for Direction-of-Arrival Estimation with Convolutional Recurrent Neural Networks [PDF]

, 2019
Zhenyu Tang, John Kanu, Kevin Hogan, Dinesh Manocha   +3 more
openalex   +1 more source