AIMC Topic: Pattern Recognition, Automated
Clear Filters Showing 131 to 140 of 1671 articles
Enhanced PRIM recognition using PRI sound and deep learning techniques.
PloS one
May 1, 2024
Pulse repetition interval modulation (PRIM) is integral to radar identification in modern electronic support measure (ESM) and electronic intelligence (ELINT) systems. Various distortions, including missing pulses, spurious pulses, unintended jitters...
Binary matrix factorization via collaborative neurodynamic optimization.
Neural networks : the official journal of the International Neural Network Society
Apr 30, 2024
Binary matrix factorization is an important tool for dimension reduction for high-dimensional datasets with binary attributes and has been successfully applied in numerous areas. This paper presents a collaborative neurodynamic optimization approach ...
End-to-End Ultrasonic Hand Gesture Recognition.
Sensors (Basel, Switzerland)
Apr 25, 2024
As the number of electronic gadgets in our daily lives is increasing and most of them require some kind of human interaction, this demands innovative, convenient input methods. There are limitations to state-of-the-art (SotA) ultrasound-based hand ge...
Study on Gesture Recognition Method with Two-Stream Residual Network Fusing sEMG Signals and Acceleration Signals.
Sensors (Basel, Switzerland)
Apr 24, 2024
Currently, surface EMG signals have a wide range of applications in human-computer interaction systems. However, selecting features for gesture recognition models based on traditional machine learning can be challenging and may not yield satisfactory...
Computer-Aided Diagnosis of Duchenne Muscular Dystrophy Based on Texture Pattern Recognition on Ultrasound Images Using Unsupervised Clustering Algorithms and Deep Learning.
Ultrasound in medicine & biology
Apr 18, 2024
OBJECTIVE: The feasibility of using deep learning in ultrasound imaging to predict the ambulatory status of patients with Duchenne muscular dystrophy (DMD) was previously explored for the first time. The present study further used clustering algorith...
Human Action Recognition and Note Recognition: A Deep Learning Approach Using STA-GCN.
Sensors (Basel, Switzerland)
Apr 14, 2024
Human action recognition (HAR) is growing in machine learning with a wide range of applications. One challenging aspect of HAR is recognizing human actions while playing music, further complicated by the need to recognize the musical notes being play...
A Multi-Modal Egocentric Activity Recognition Approach towards Video Domain Generalization.
Sensors (Basel, Switzerland)
Apr 12, 2024
Egocentric activity recognition is a prominent computer vision task that is based on the use of wearable cameras. Since egocentric videos are captured through the perspective of the person wearing the camera, her/his body motions severely complicate ...
An open source knowledge graph ecosystem for the life sciences.
Scientific data
Apr 11, 2024
Translational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the availability of these data, but researchers face significant integration challenges. Knowle...
Introducing surgical intelligence in gynecology: Automated identification of key steps in hysterectomy.
International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
Mar 28, 2024
OBJECTIVE: The analysis of surgical videos using artificial intelligence holds great promise for the future of surgery by facilitating the development of surgical best practices, identifying key pitfalls, enhancing situational awareness, and dissemin...
Self-Supervised Contrastive Molecular Representation Learning with a Chemical Synthesis Knowledge Graph.
Journal of chemical information and modeling
Mar 14, 2024
Self-supervised molecular representation learning has demonstrated great promise in bridging machine learning and chemical science to accelerate the development of new drugs. Due to the limited reaction data, existing methods are mostly pretrained by...
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