Artificial intelligence for cognitive health assessment: state-of-the-art, open challenges and future directions
The subjectivity and inaccuracy of in-clinic Cognitive Health Assessments (CHA) have led
many researchers to explore ways to automate the process to make it more objective and to …
many researchers to explore ways to automate the process to make it more objective and to …
State-of-the-art of stress prediction from heart rate variability using artificial intelligence
Recent advancements in the manufacturing and commercialisation of miniaturised sensors
and low-cost wearables have enabled an effortless monitoring of lifestyle by detecting and …
and low-cost wearables have enabled an effortless monitoring of lifestyle by detecting and …
Explainable multimodal machine learning for engagement analysis by continuous performance test
The human vision system assiduously looks for exciting regions in the real world, in images
and videos, to reduce the search effort for various tasks, such as object detection and …
and videos, to reduce the search effort for various tasks, such as object detection and …
Cross-content recommendation between movie and book using machine learning
Machine learning-driven recommendation systems are widely used in today's growing
digital world. Existing movie and book recommender systems work using a collaborative …
digital world. Existing movie and book recommender systems work using a collaborative …
Towards machine learning driven self-guided virtual reality exposure therapy based on arousal state detection from multimodal data
Virtual-reality exposure therapy (VRET) is a novel intervention technique that allows
individuals to experience anxiety evoking stimuli in a safe environment, to recognise specific …
individuals to experience anxiety evoking stimuli in a safe environment, to recognise specific …
Enhancing biofeedback-driven self-guided virtual reality exposure therapy through arousal detection from multimodal data using machine learning
Virtual reality exposure therapy (VRET) is a novel intervention technique that allows
individuals to experience anxiety-evoking stimuli in a safe environment, recognise specific …
individuals to experience anxiety-evoking stimuli in a safe environment, recognise specific …
[HTML][HTML] iBUST: An intelligent behavioural trust model for securing industrial cyber-physical systems
To meet the demand of the world's largest population, smart manufacturing has accelerated
the adoption of smart factories—where autonomous and cooperative instruments across all …
the adoption of smart factories—where autonomous and cooperative instruments across all …
Accurate Prediction of Lysine Methylation Sites Using Evolutionary and Structural-Based Information
Methylation is considered one of the proteins' most important post-translational modifications
(PTM). Plasticity and cellular dynamics are among the many traits that are regulated by …
(PTM). Plasticity and cellular dynamics are among the many traits that are regulated by …
Amharic spoken digits recognition using convolutional neural network
Spoken digits recognition (SDR) is a type of supervised automatic speech recognition, which
is required in various human–machine interaction applications. It is utilized in phone-based …
is required in various human–machine interaction applications. It is utilized in phone-based …
Cepstral and acoustic ternary pattern based hybrid feature extraction approach for end-to-end bangla speech recognition
M Dua, Akanksha, S Dua - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
In the last three decades, a lot of work has been done for building Automatic Speech
Recognition (ASR) systems for well-established languages such as English, Chinese, etc …
Recognition (ASR) systems for well-established languages such as English, Chinese, etc …