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Tree-based convolutional neural networks for object classification in segmented satellite images
(SAGE Publications Inc., 2020)
Satellite images have a very high resolution, which make their automatic processing computationally costly, and they suffer from artifacts making their processing difficult. This paper describes a method for the effective ...
Compliance and application tests of usability guidelines about giving information quickly and comprehensibly
(Springer, 2021)
The objective of this publication is to analyze compliance with the web usability guidelines onGiving information quickly and comprehensibly. The behavior of 20 IT engineers without experience in web usability is analyzed ...
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 ...
Introduction to the special section on advances of machine learning in cybersecurity (VSI-mlsec)
(Computers and Electrical Engineering, 2022)
With the rapid advancement of emerging technologies, such as Internet of Things (IoT), cloud computing, and many more, a huge amount of data is generated and processed in daily life. As these technologies are based on the ...
Alzheimer's Patient Analysis Using Image and Gene Expression Data and Explainable-AI to Present Associated Genes
(Institute of Electrical and Electronics Engineers Inc., 2021)
There are more than 10 million new cases of Alzheimer's patients worldwide each year, which means there is a new case every 3.2 s. Alzheimer's disease (AD) is a progressive neurodegenerative disease and various machine ...
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 ...
Exploiting feature space using overlapping windows for improving biometric recognition
(Computers&Electrical Engineering, 2021)
Biometrics is a highly researched topic due to its importance in security, surveillance, and authentication systems. Granulation is the procedure of partitioning data into windows. Two novel feature extraction techniques ...
Physical education teaching for saving energy in basketball sports athletics using Hidden Markov and Motion Model
(John Wiley and Sons Inc, 2021)
A new trend of schooling is characterized by long-term learning and driven by technological, social, and cultural developments. This trend means that physical education (PE) and sports science must be strengthened. Although ...
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 ...