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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 ...
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 ...
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 ...
Underwater IoT Network by Blind MIMO OFDM Transceiver Based on Probabilistic Stone's Blind Source Separation
(Support UsContactAdmin ACM Transactions on Sensor Networks, 2022)
Telecommunications systems with Multi-Input Multi-Output (MIMO) structure using Orthogonal Frequency Division Modulation (OFDM) have great potential for efficient application to a network of Internet of Things (IoT) at a ...
Economic IoT strategy: the future technology for health monitoring and diagnostic of agriculture vehicles
(Journal of intelligent manufacturing, 2022)
Today’s Agriculture vehicles (AgV)s are expected to encompass mainly the three requirements of customers; economy, the use of High technology and reliability. In this manuscript, we investigate the technology solution for ...
Emotion stimuli-based surface electromyography signal classification employing Markov transition field and deep neural networks
(Elsevier B.V., 2022)
Surface electromyography (sEMG) has been widely used in clinical medicine, rehabilitation medicine, and intelligent robots. Currently, sEMG signal classification methods promoted the development and industrialization of ...
Lightweight Computational Intelligence for IoT Health Monitoring of Off-Road Vehicles: Enhanced Selection Log-Scaled Mutation GA Structured ANN
(IEEE Computer Society, 2022)
Smart monitoring of off-road vehicles is cursed by their complex and expensive IoT sensors technologies. High dependence on the cloud/fog computation, availability of the network, and expert knowledge make it handicap in ...
COVID-19: Psychological and Psychosocial Impact, Fear, and Passion
(Digital Government: Research and Practice, 2021)
In December 2019, the novel coronavirus disease (COVID-19) emerged in Wuhan, Hubei Province of China.
Unlike common cold and flu, COVID-19 is much more contagious, and its spread rate is exponential. More than
8,999,659 ...