A review on generative adversarial networks for image generation
Abstract Generative Adversarial Networks (GANs) are a type of deep learning architecture
that uses two networks namely a generator and a discriminator that, by competing against …
that uses two networks namely a generator and a discriminator that, by competing against …
[HTML][HTML] Self-supervised learning for point cloud data: A survey
Abstract 3D point clouds are a crucial type of data collected by LiDAR sensors and widely
used in transportation applications due to its concise descriptions and accurate localization …
used in transportation applications due to its concise descriptions and accurate localization …
Innovative healthcare solutions: robust hand gesture recognition of daily life routines using 1D CNN
Introduction Hand gestures are an effective communication tool that may convey a wealth of
information in a variety of sectors, including medical and education. E-learning has grown …
information in a variety of sectors, including medical and education. E-learning has grown …
[HTML][HTML] Enhanced data mining and visualization of sensory-graph-Modeled datasets through summarization
The acquisition, processing, mining, and visualization of sensory data for knowledge
discovery and decision support has recently been a popular area of research and …
discovery and decision support has recently been a popular area of research and …
Robust human locomotion and localization activity recognition over multisensory
Human activity recognition (HAR) plays a pivotal role in various domains, including
healthcare, sports, robotics, and security. With the growing popularity of wearable devices …
healthcare, sports, robotics, and security. With the growing popularity of wearable devices …
Intelligent localization and deep human activity recognition through IoT devices
Ubiquitous computing has been a green research area that has managed to attract and
sustain the attention of researchers for some time now. As ubiquitous computing …
sustain the attention of researchers for some time now. As ubiquitous computing …
Deep reinforcement learning‐based resource allocation in multi‐access edge computing
Network architects and engineers face challenges in meeting the increasing complexity and
low‐latency requirements of various services. To tackle these challenges, multi‐access …
low‐latency requirements of various services. To tackle these challenges, multi‐access …
A quality-of-service-aware service composition method in the internet of things using a multi-objective fuzzy-based hybrid algorithm
M Hamzei, S Khandagh, N Jafari Navimipour - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) represents a cutting-edge technical domain, encompassing
billions of intelligent objects capable of bridging the physical and virtual worlds across …
billions of intelligent objects capable of bridging the physical and virtual worlds across …
Generative adversarial networks (gans) for medical image processing: Recent advancements
Abstract Generative Adversarial Networks (GANs) constitute an advanced category of deep
learning models that have significantly transformed the domain of generative modelling …
learning models that have significantly transformed the domain of generative modelling …
Improving structural MRI preprocessing with hybrid transformer GANs
Magnetic resonance imaging (MRI) is a technique that is widely used in practice to evaluate
any pathologies in the human body. One of the areas of interest is the human brain …
any pathologies in the human body. One of the areas of interest is the human brain …