Results 51 to 60 of about 843 (158)

Lip-Reading Classification of Turkish Digits Using Ensemble Learning Architecture Based on 3DCNN

Applied Sciences
Understanding others correctly is of great importance for maintaining effective communication. Factors such as hearing difficulties or environmental noise can disrupt this process. Lip reading offers an effective solution to these challenges.
Ali Erbey, Necaattin Barışçı
doaj   +1 more source

3D deep convolutional neural networks for amino acid environment similarity analysis

BMC Bioinformatics, 2017
Background Central to protein biology is the understanding of how structural elements give rise to observed function. The surfeit of protein structural data enables development of computational methods to systematically derive rules governing structural ...
Wen Torng, Russ B. Altman
doaj   +1 more source

Action Localization Using 2D-CNN and 3D-CNN Collaboration

IEEE Access, 2022
Detecting human actions in videos is crucial for human-computer interaction, intelligent security, etc. Temporal and spatial information is very important for action localization, as how we utilize them determines the performance of detection.
Jiale Tong, Jianjun Li, Ming Zhang, Baohua Zhang   +3 more
doaj   +1 more source

A 3DCNN-LSTM Multi-Class Temporal Segmentation for Hand Gesture Recognition

Electronics, 2022
This paper introduces a multi-class hand gesture recognition model developed to identify a set of hand gesture sequences from two-dimensional RGB video recordings, using both the appearance and spatiotemporal parameters of consecutive frames. The classifier utilizes a convolutional-based network combined with a long-short-term memory unit.
Letizia Gionfrida, Wan M.R. Rusli, Angela E. Kedgley, Anil A. Bharath   +3 more
openaire   +3 more sources

Three‐Dimensional Full Variables Bias Correction of CMA‐GFS Analysis Field Using Spatial Convolutional Long Short‐Term Memory Network

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 4, December 2025.
Abstract Numerical weather prediction models are essential for modern meteorological forecasting, with accuracy critically hinging on the precision of initial analysis fields. Compared to the ERA5 global reanalysis data, the analysis fields produced by the China Meteorological Administration Global Forecast System (CMA‐GFS) exhibit notable biases in ...
Haoyuan Huang, Jun Yang, Yang Han, Hao Hu, Yi‐Ning Shi, Fuzhong Weng   +5 more
wiley   +1 more source

Hyperspectral Remote Sensing Images Feature Extraction Based on Spectral Fractional Differentiation

Remote Sensing, 2023
To extract effective features for the terrain classification of hyperspectral remote-sensing images (HRSIs), a spectral fractional-differentiation (SFD) feature of HRSIs is presented, and a criterion for selecting the fractional-differentiation order is ...
Jing Liu, Yang Li, Feng Zhao, Yi Liu
doaj   +1 more source

Harnessing Deep Learning of Point Clouds for Morphology Mimicking of Universal 3D Shape‐Morphing Devices

Advanced Intelligent Systems, Volume 7, Issue 9, September 2025.
Soft robots capable of morphing into various 3D shapes are crucial for applications like human‐machine interfaces and biological manipulation. However, controlling 3D shape‐morphing robots with soft actuators remains a challenge. This work introduces a machine learning model that maps complex 3D deformations to control inputs, enabling robots to mimic ...
Jue Wang, Dhirodaatto Sarkar, Jiaqi Suo, Alex Chortos   +3 more
wiley   +1 more source

Facial Micro-Expression Recognition Using Double-Stream 3D Convolutional Neural Network with Domain Adaptation

Sensors, 2023
Humans show micro-expressions (MEs) under some circumstances. MEs are a display of emotions that a human wants to conceal. The recognition of MEs has been applied in various fields.
Zhengdao Li, Yupei Zhang, Hanwen Xing, Kwok-Leung Chan   +3 more
doaj   +1 more source

A Deep Learning‐Based Long‐Term ENSO Forecasting Model: 3D‐STransformer

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 3, September 2025.
Abstract The El Niño‐Southern Oscillation (ENSO) significantly impacts global climate variability, causing extreme events like droughts, floods, and heatwaves. Accurate prediction of ENSO is critical for managing agriculture, water resources, disaster prevention, and economic planning.
Jie Lian, Xinjiao Wu, Sirong Huang, Zhanyuan Chang   +3 more
wiley   +1 more source

Accelerating Urban Flood Inundation Simulation Under Spatio‐Temporally Varying Rainstorms Using ConvLSTM Deep Learning Model

Water Resources Research, Volume 61, Issue 8, August 2025.
Abstract Urban floods induced by rainstorms can lead to severe losses of lives and property, making rapid flood prediction essential for effective disaster prevention and mitigation. However, traditional deep learning (DL) models often overlook the spatial heterogeneity of rainstorms and lack interpretability.
Yaoxing Liao, Zhaoli Wang, Haijun Yu, Weizhi Gao, Zhaoyang Zeng, Xuefang Li, Chengguang Lai   +6 more
wiley   +1 more source