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Inadequate dataset learning for major depressive disorder MRI semantic classification
(IET Image Processing, 2022)
Predicting patients with major depression (MDD) is currently a difficult task. Magnetic resonance imaging (MRI) data analysis may provide insight into individual patient responses, allowing for more customized treatment ...
Lightweight Artificial Intelligence Technology for Health Diagnosis of Agriculture Vehicles: Parallel Evolving Artificial Neural Networks by Genetic Algorithm
(Springer, 2022-02)
This paper focuses on developing a computationally economic lightweight artificial intelligence (AI) technology for smartphones. Until date, no commercial system is available on this technology. Thus the developed breakthrough ...
Introduction to the Special Section on Social Computing and Social Internet of Things
(IEEE Transactions on Network Science and Engineering, 2022)
The papers in this special section focus on social computing and the social Internet of Things (SIoT). SIoT is a new and latest paradigm that extends Internet of Things. This provides an ideal platform for interconnected ...
Health care data analysis and visualization using interactive data exploration for sportsperson
(Science Chin-Information Sciences, 2022)
Sports have scored significant attention among the public in this multifaceted world. Diverse training strategies are followed by many athletics and even flexible to adapt comfortable and optimal techniques. This fact has ...
A deep learning architecture for power management in smart cities
(Elsevier Ltd, 2022)
Sustainable energy management is an inexpensive approach for improved energy use. However, the research used does not focus on cutting-edge technology possibilities in an Internet of things (IoT). This paper includes the ...
Brain fMRI segmentation under emotion stimuli incorporating attention-based deep convolutional neural networks
(Applied Soft Computing, 2022)
Functional magnetic resonance imaging (fMRI) is widely used for clinical examinations, diagnosis, and treatment. By segmenting fMRI images, large-scale medical image data can be processed more efficiently. Most deep learning ...
AI-based quality of service optimization for multimedia transmission on Internet of Vehicles (IoV) systems
(Sustainable Energy Technologies and Assessments, 2022)
Multimedia Communications of Internet of Vehicles (IoV) uses WLAN, NFC and Fifth Generation networks. At the same time, in multimedia communications in healthcare, IoV's essential task is optimizing the quality of experience ...
Effect of optimization framework on rigid and non-rigid multimodal image registration
(Scienceasias, 2022)
The process of transforming or aligning two images is known as image registration. In the present era, image registration is one of the most popular transformation tools in case of, for example, satellite as well as medical ...
G-Sep: A Deep Learning Algorithm for Detection of Long-Term Sepsis Using Bidirectional Gated Recurrent Unit
(International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, 2022)
Sepsis is a common and deadly condition that must be treated eloquently within 19 hours. Numerous deep learning techniques, including Recurrent Neural Networks, Convolution Neural Networks, Long Short-Term Memory, and Gated ...
CNN supported framework for automatic extraction and evaluation of dermoscopy images
(Journal of Supercomputing, 2022)
Skin Cancer is one of the acute diseases listed under top 5 groups in 2020 report of World Health Organisation. This research aims to propose a Convolutional Neural Network framework to extract and evaluate the suspicious ...