[HTML][HTML] Application of deep learning in detecting neurological disorders from magnetic resonance images: a survey on the detection of Alzheimer's disease …
Neuroimaging, in particular magnetic resonance imaging (MRI), has been playing an
important role in understanding brain functionalities and its disorders during the last couple …
important role in understanding brain functionalities and its disorders during the last couple …
[HTML][HTML] Deep learning in mining biological data
Recent technological advancements in data acquisition tools allowed life scientists to
acquire multimodal data from different biological application domains. Categorized in three …
acquire multimodal data from different biological application domains. Categorized in three …
Security threats and artificial intelligence based countermeasures for internet of things networks: a comprehensive survey
The Internet of Things (IoT) has emerged as a technology capable of connecting
heterogeneous nodes/objects, such as people, devices, infrastructure, and makes our daily …
heterogeneous nodes/objects, such as people, devices, infrastructure, and makes our daily …
[HTML][HTML] COVID-19 infection detection from chest X-ray images using hybrid social group optimization and support vector classifier
A novel strain of Coronavirus, identified as the Severe Acute Respiratory Syndrome-2
(SARS-CoV-2), outbroke in December 2019 causing the novel Corona Virus Disease …
(SARS-CoV-2), outbroke in December 2019 causing the novel Corona Virus Disease …
iWorksafe: Towards Healthy Workplaces During COVID-19 With an Intelligent Phealth App for Industrial Settings
The recent outbreak of the novel Coronavirus Disease (COVID-19) has given rise to diverse
health issues due to its high transmission rate and limited treatment options. Almost the …
health issues due to its high transmission rate and limited treatment options. Almost the …
A monitoring system for patients of autism spectrum disorder using artificial intelligence
When the world is suffering from the deadliest consequences of COVID-19, people with
autism find themselves in the worst possible situation. The patients of autism lack social …
autism find themselves in the worst possible situation. The patients of autism lack social …
3D DenseNet ensemble in 4-way classification of Alzheimer's disease
J Ruiz, M Mahmud, M Modasshir… - Brain Informatics: 13th …, 2020 - Springer
One of the major causes of death in developing nations is the Alzheimer's Disease (AD). For
the treatment of this illness, is crucial to early diagnose mild cognitive impairment (MCI) and …
the treatment of this illness, is crucial to early diagnose mild cognitive impairment (MCI) and …
[HTML][HTML] One-shot cluster-based approach for the detection of COVID–19 from chest X–ray images
Abstract Coronavirus disease (COVID-19) has infected over more than 28.3 million people
around the globe and killed 913K people worldwide as on 11 September 2020. With this …
around the globe and killed 913K people worldwide as on 11 September 2020. With this …
Attention-based bi-directional long-short term memory network for earthquake prediction
An earthquake is a tremor felt on the surface of the earth created by the movement of the
major pieces of its outer shell. Till now, many attempts have been made to forecast …
major pieces of its outer shell. Till now, many attempts have been made to forecast …
Towards artificial intelligence driven emotion aware fall monitoring framework suitable for elderly people with neurological disorder
The contemporary world's emerging issue is how the mental health and falling of a senior
citizen with a neurological disorder can be maintained living at their homes as the number of …
citizen with a neurological disorder can be maintained living at their homes as the number of …