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A review of convolutional neural networks in computer vision
In computer vision, a series of exemplary advances have been made in several areas
involving image classification, semantic segmentation, object detection, and image super …
involving image classification, semantic segmentation, object detection, and image super …
A review of machine learning and deep learning for object detection, semantic segmentation, and human action recognition in machine and robotic vision
Machine vision, an interdisciplinary field that aims to replicate human visual perception in
computers, has experienced rapid progress and significant contributions. This paper traces …
computers, has experienced rapid progress and significant contributions. This paper traces …
Toward human activity recognition: a survey
Human activity recognition (HAR) is a complex and multifaceted problem. The research
community has reported numerous approaches to perform HAR. Along with HAR …
community has reported numerous approaches to perform HAR. Along with HAR …
InstaCovNet-19: A deep learning classification model for the detection of COVID-19 patients using Chest X-ray
Recently, the whole world became infected by the newly discovered coronavirus (COVID-
19). SARS-CoV-2, or widely known as COVID-19, has proved to be a hazardous virus …
19). SARS-CoV-2, or widely known as COVID-19, has proved to be a hazardous virus …
Enhancing cervical cancer detection and robust classification through a fusion of deep learning models
Cervical cancer, the second most prevalent cancer affecting women, arises from abnormal
cell growth in the cervix, a crucial anatomical structure within the uterus. The significance of …
cell growth in the cervix, a crucial anatomical structure within the uterus. The significance of …
An optimization-based diabetes prediction model using CNN and Bi-directional LSTM in real-time environment
Featured Application Diabetes is a common chronic disorder defined by excessive glucose
levels in the blood. A good diagnosis of diabetes may make a person's life better; otherwise …
levels in the blood. A good diagnosis of diabetes may make a person's life better; otherwise …
Patient activity recognition using radar sensors and machine learning
Indoor human activity recognition is actively studied as part of creating various intelligent
systems with applications in smart home and office, smart health, internet of things, etc …
systems with applications in smart home and office, smart health, internet of things, etc …
Motion stimulation for compositional action recognition
Recognizing the unseen combinations of action and different objects, namely (zero-shot)
compositional action recognition, is extremely challenging for conventional action …
compositional action recognition, is extremely challenging for conventional action …
Graph2Net: Perceptually-enriched graph learning for skeleton-based action recognition
Skeleton representation has attracted a great deal of attention recently as an extremely
robust feature for human action recognition. However, its non-Euclidean structural …
robust feature for human action recognition. However, its non-Euclidean structural …
Human skeleton pose and spatio-temporal feature-based activity recognition using ST-GCN
Abstract Skeleton-based Human Activity Recognition has recently sparked a lot of attention
because skeleton data has proven resistant to changes in lighting, body sizes, dynamic …
because skeleton data has proven resistant to changes in lighting, body sizes, dynamic …