AUTO-HAR: An adaptive human activity recognition framework using an automated CNN architecture design
Convolutional neural networks (CNNs) have demonstrated exceptional results in the
analysis of time-series data when used for Human Activity Recognition (HAR). The manual …
analysis of time-series data when used for Human Activity Recognition (HAR). The manual …
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 …
A new malware classification framework based on deep learning algorithms
Recent technological developments in computer systems transfer human life from real to
virtual environments. Covid-19 disease has accelerated this process. Cyber criminals' …
virtual environments. Covid-19 disease has accelerated this process. Cyber criminals' …
Optimized hybrid learning for multi disease prediction enabled by lion with butterfly optimization algorithm
AK Dubey - Sādhanā, 2021 - Springer
As there is a rapid growth in healthcare systems and biomedical data. Machine learning
algorithms are utilized in many researches for predicting the risk of the diseases. The major …
algorithms are utilized in many researches for predicting the risk of the diseases. The major …
A survey of machine learning and meta-heuristics approaches for sensor-based human activity recognition systems
Abstract Human Activity Recognition (HAR) is an important research area that has profound
applications in healthcare, security and surveillance. Starting from traditional machine …
applications in healthcare, security and surveillance. Starting from traditional machine …
Digital twin techniques in recognition of human action using the fusion of convolutional neural network
M Gupta, R Kumar, S Dewari - Digital Twin Technology, 2021 - taylorfrancis.com
Today, the society is flourishing with the involvement of digital twin technology and the
advancement of human action technology. Researchers from various fields are interested in …
advancement of human action technology. Researchers from various fields are interested in …
[HTML][HTML] Mapping the multi-hazards risk index for coastal block of Sundarban, India using AHP and machine learning algorithms
P Mandal, A Maiti, S Paul, S Bhattacharya… - … Cyclone Research and …, 2022 - Elsevier
Global climate change, climate extremes, and overuse of natural resources are all major
contributors to the risk brought on by cyclones. In I West Bengal state of India, the Pathar …
contributors to the risk brought on by cyclones. In I West Bengal state of India, the Pathar …
Cloudy/clear weather classification using deep learning techniques with cloud images
In recent years, the accessibility of weather forecasts has reached a point that checking it up
on a smart device, like a smartphone, only takes a few seconds. Despite easy accessibility …
on a smart device, like a smartphone, only takes a few seconds. Despite easy accessibility …
[Retracted] Human‐Computer Interaction of Networked Vehicles Based on Big Data and Hybrid Intelligent Algorithm
J Shang, H Liu, W Li - Wireless Communications and Mobile …, 2022 - Wiley Online Library
Intelligent connected vehicle (ICV) refers to realizing the exchange and sharing of intelligent
information between vehicles, roads, people, clouds, and so on by carrying advanced on …
information between vehicles, roads, people, clouds, and so on by carrying advanced on …
Intrusion detection in computer networks using optimized machine learning algorithms
AA Yilmaz - 2022 3rd International Informatics and Software …, 2022 - ieeexplore.ieee.org
Intrusion detection systems (IDSs) are employed to maintain computer networks from cyber
attacks. Here, the aim is to detect intrusions once the data is transmitted across the internet …
attacks. Here, the aim is to detect intrusions once the data is transmitted across the internet …