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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 ...
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 ...
Real‐time force doors detection system using distributed sensors and neural networks
(International Journal of Intelligent Systems, 2019-07-22)
Intelligent security systems have evolved enormously in the last few years. Most of these security systems use a group of physics sensors and algorithms for data analysis and communication systems to notify security alarms. ...
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 ...
A Framework for Extractive Text Summarization Based on Deep Learning Modified Neural Network Classifier
(Association for Computing Machinery, 2021)
There is an exponential growth of text data over the internet, and it is expected to gain significant growth and attention in the coming years. Extracting meaningful insights from text data is crucially important as it ...
Emotional characterization of children through a learning environment using learning analytics and AR-Sandbox
(Journal of Ambient Intelligence and Humanized Computing, 2020-03)
Identifying emotions experienced by students in a learning environment contributes to measuring the impact when technologies such as augmented reality (AR) are implemented in the educational field. The most frequent methods ...
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 ...