Results 121 to 130 of about 41,443 (305)

Deep spatiotemporal human activity recognition using an optimized 3D CNN model [PDF]

PeerJ Computer Science
Surveillance video systems have become indispensable in modern societies for monitoring human activity and detecting abnormal behavior across both public and private environments.
Hamada I. AbdulWakel, Ahmed S. Salama, Eman Abdullah Aldakheel, Mona M. Moussa, Rasha Shoitan, Ahmad M. Nagm   +5 more
doaj   +2 more sources

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

Multi-scale convolutional recurrent neural network for psychiatric disorder identification in resting-state EEG. [PDF]

Front Psychiatry, 2023
Yan W, Yu L, Liu D, Sui J, Calhoun VD, Lin Z.   +5 more
europepmc   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Context-aware sentence categorisation: word mover’s distance and character-level convolutional recurrent neural network [PDF]

, 2018
Supervised k nearest neighbour and unsupervised hierarchical agglomerative clustering algorithm can be enhanced through word mover’s distance-based sentence distance metric to offer superior context-aware sentence categorisation performance.
Fu, Xinyu
core  

Multi-Directional Long-Term Recurrent Convolutional Network for Road Situation Recognition

Sensors
Understanding road conditions is essential for implementing effective road safety measures and driving solutions. Road situations encompass the day-to-day conditions of roads, including the presence of vehicles and pedestrians.
Cyreneo Dofitas, Joon-Min Gil, Yung-Cheol Byun   +2 more
doaj   +1 more source

Accelerating High b-Value Diffusion-Weighted MRI Using a Convolutional Recurrent Neural Network (CRNN-DWI). [PDF]

Bioengineering (Basel), 2023
Zhong Z, Ryu K, Mao J, Sun K, Dan G, Vasanawala SS, Zhou XJ.   +6 more
europepmc   +1 more source

Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots

Advanced Robotics Research, EarlyView.
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou, Zhiqiang Chen, Yuanbiao Ma, Zhiqiang Tang, Qianqian Wang   +4 more
wiley   +1 more source

Application of Convolutional Neural Networks and Recurrent Neural Networks in Food Safety

Foods
This review explores the application of convolutional neural networks (CNNs) and recurrent neural networks (RNNs) in food safety detection and risk prediction. This paper highlights the advantages of CNNs in image processing and feature recognition, as well as the powerful capabilities of RNNs (especially their variant LSTM) in time series data ...
Haohan Ding, Haoke Hou, Long Wang, Xiaohui Cui, Wei Yu, David I. Wilson   +5 more
openaire   +4 more sources

Speech emotion recognition based on improved masking EMD and convolutional recurrent neural network. [PDF]

Front Psychol, 2022
Sun C, Li H, Ma L.
europepmc   +1 more source