AIMC Topic: Pattern Recognition, Automated

Clear Filters Showing 201 to 210 of 1671 articles

Sound Can Help Us See More Clearly.

Sensors (Basel, Switzerland) Jan 13, 2022
In the field of video action classification, existing network frameworks often only use video frames as input. When the object involved in the action does not appear in a prominent position in the video frame, the network cannot accurately classify i...
Neural Networks, Computer Sound Pattern Recognition, Automated
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Data-Driven Construction Safety Information Sharing System Based on Linked Data, Ontologies, and Knowledge Graph Technologies.

International journal of environmental research and public health Jan 11, 2022
Accident, injury, and fatality rates remain disproportionately high in the construction industry. Information from past mishaps provides an opportunity to acquire insights, gather lessons learned, and systematically improve safety outcomes. Advances ...
Semantic Web Biological Ontologies Pattern Recognition, Automated Information Dissemination Semantics
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A star-nose-like tactile-olfactory bionic sensing array for robust object recognition in non-visual environments.

Nature communications Jan 10, 2022
Object recognition is among the basic survival skills of human beings and other animals. To date, artificial intelligence (AI) assisted high-performance object recognition is primarily visual-based, empowered by the rapid development of sensing and c...
Moles Odorants Pattern Recognition, Automated Pattern Recognition, Physiological Electronic Nose Simulation Training Humans Animals Machine Learning Fires
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Using a Selective Ensemble Support Vector Machine to Fuse Multimodal Features for Human Action Recognition.

Computational intelligence and neuroscience Jan 10, 2022
The traditional human action recognition (HAR) method is based on RGB video. Recently, with the introduction of Microsoft Kinect and other consumer class depth cameras, HAR based on RGB-D (RGB-Depth) has drawn increasing attention from scholars and i...
Humans Motion Pattern Recognition, Automated Human Activities Algorithms Support Vector Machine
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Hierarchical Deep Click Feature Prediction for Fine-Grained Image Recognition.

IEEE transactions on pattern analysis and machine intelligence Jan 7, 2022
The click feature of an image, defined as the user click frequency vector of the image on a predefined word vocabulary, is known to effectively reduce the semantic gap for fine-grained image recognition. Unfortunately, user click frequency data are u...
Datasets as Topic Birds Semantics Machine Learning Algorithms Dogs Pattern Recognition, Automated Animals
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Knowledge graph analysis and visualization of AI technology applied in COVID-19.

Environmental science and pollution research international Dec 2, 2021
With the global outbreak of coronavirus disease (COVID-19) all over the world, artificial intelligence (AI) technology is widely used in COVID-19 and has become a hot topic. In recent 2 years, the application of AI technology in COVID-19 has develope...
SARS-CoV-2 Pattern Recognition, Automated COVID-19 Technology Humans Artificial Intelligence
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Human Action Recognition: A Paradigm of Best Deep Learning Features Selection and Serial Based Extended Fusion.

Sensors (Basel, Switzerland) Nov 28, 2021
Human action recognition (HAR) has gained significant attention recently as it can be adopted for a smart surveillance system in Multimedia. However, HAR is a challenging task because of the variety of human actions in daily life. Various solutions b...
Pattern Recognition, Automated Humans Algorithms Human Activities Deep Learning
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A unified drug-target interaction prediction framework based on knowledge graph and recommendation system.

Nature communications Nov 22, 2021
Prediction of drug-target interactions (DTI) plays a vital role in drug development in various areas, such as virtual screening, drug repurposing and identification of potential drug side effects. Despite extensive efforts have been invested in perfe...
Machine Learning Models, Theoretical Pattern Recognition, Automated Drug Development Knowledge Pharmaceutical Preparations Drug Interactions Drug Repositioning Drug-Related Side Effects and Adverse Reactions
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Automated recognition of objects and types of forceps in surgical images using deep learning.

Scientific reports Nov 19, 2021
Analysis of operative data with convolutional neural networks (CNNs) is expected to improve the knowledge and professional skills of surgeons. Identification of objects in videos recorded during surgery can be used for surgical skill assessment and s...
Colon Deep Learning Image Processing, Computer-Assisted Intraoperative Period Clinical Competence Motor Skills Rectum Humans Pattern Recognition, Automated Software Design Surgical Instruments Video Recording Digestive System Surgical Procedures Surgeons
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Multitask Healthcare Management Recommendation System Leveraging Knowledge Graph.

Journal of healthcare engineering Nov 5, 2021
In this paper, a novel multitask healthcare management recommendation system leveraging the knowledge graph is proposed, which is based on deep neural network and 5G network, and it can be applied in mobile and terminal device to free up medical reso...
Pattern Recognition, Automated Delivery of Health Care Humans Models, Theoretical Neural Networks, Computer
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