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 …
Artificial intelligence and internet of things in screening and management of autism spectrum disorder
Autism is a disability that obstructs the process of a person's development. Autistic
individuals find it extremely difficult to cope with the world's pace, can not communicate …
individuals find it extremely difficult to cope with the world's pace, can not communicate …
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 …
Towards explainable and privacy-preserving artificial intelligence for personalisation in autism spectrum disorder
Abstract Autism Spectrum Disorder (ASD) is a growing concern worldwide. To date there are
no drugs that can treat ASD, hence the treatments that can be administered are mainly …
no drugs that can treat ASD, hence the treatments that can be administered are mainly …
Explainable artificial intelligence in Alzheimer's disease classification: A systematic review
The unprecedented growth of computational capabilities in recent years has allowed
Artificial Intelligence (AI) models to be developed for medical applications with remarkable …
Artificial Intelligence (AI) models to be developed for medical applications with remarkable …
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 …
[HTML][HTML] An attention-based hybrid architecture with explainability for depressive social media text detection in Bangla
Mental health has become a major concern in recent years. Social media have been
increasingly used as platforms to gain insight into a person's mental health condition by …
increasingly used as platforms to gain insight into a person's mental health condition by …
Machine learning-based ABA treatment recommendation and personalization for autism spectrum disorder: an exploratory study
Autism spectrum is a brain development condition that impairs an individual's capacity to
communicate socially and manifests through strict routines and obsessive–compulsive …
communicate socially and manifests through strict routines and obsessive–compulsive …
Indoor navigation support system for patients with neurodegenerative diseases
A handheld device (such as a smartphone/wearable) can be used for tracking and
delivering navigation within a building using a wireless interface (such as WiFi or Bluetooth …
delivering navigation within a building using a wireless interface (such as WiFi or Bluetooth …