[HTML][HTML] Recent Applications of Explainable AI (XAI): A Systematic Literature Review
M Saarela, V Podgorelec - Applied Sciences, 2024 - mdpi.com
This systematic literature review employs the Preferred Reporting Items for Systematic
Reviews and Meta-Analyses (PRISMA) methodology to investigate recent applications of …
Reviews and Meta-Analyses (PRISMA) methodology to investigate recent applications of …
Integrating Artificial Intelligence and Big Data into Smart Healthcare Systems: A Comprehensive Review of Current Practices and Future Directions
M Badawy - Artificial Intelligence Evolution, 2023 - ojs.wiserpub.com
The COVID-19 pandemic has unveiled both the vulnerabilities and resilience of global
healthcare systems, sparking a surge in innovation, including the accelerated adoption of …
healthcare systems, sparking a surge in innovation, including the accelerated adoption of …
Enhancing the classification accuracy of EEG-Informed Inner Speech Decoder Using Multi-Wavelet Feature and Support Vector Machine
MM Abdulghani, WL Walters, KH Abed - IEEE Access, 2024 - ieeexplore.ieee.org
Speech involves the synchronization of the brain and the oral articulators. Inner speech, also
known as imagined speech or covert speech, refers to thinking in the form of sound without …
known as imagined speech or covert speech, refers to thinking in the form of sound without …
Enhanced Knee Joint Image Analysis Using Hybrid Machine Learning and Computer Vision Techniques
M Supriya, T Khatoon Mohammed - International Journal of …, 2024 - journal.uob.edu.bh
This research aims to enhance orthopedic diagnosis accuracy by introducing a novel
method for knee joint image processing that integrates computer vision and Machine …
method for knee joint image processing that integrates computer vision and Machine …
[PDF][PDF] An exploration of human brain activity using BCI with EEG techniques
N Sakthivel, ML Florence - Int J Advanced Networking and …, 2023 - researchgate.net
--------------------------------------------------------ABSTRACT------------------------------------------------------
--------Abstract. Brain-computer interface (BCI) acts as an important domain to determine …
--------Abstract. Brain-computer interface (BCI) acts as an important domain to determine …
Inner Speech Recognition for Mutism and Speech Disorder Using Brain-Computer Interface
MM Abdulghani, WL Walters, KH Abed - 2024 - preprints.org
Abstract Brain-Computer Interface (BCI) systems can assist physically challenged people to
interact with their surroundings and improve the quality of their lives. Decoding human …
interact with their surroundings and improve the quality of their lives. Decoding human …
Design of AI-Powered Wheelchair Controllers Using Brain-Computer Interface and Voice Recognition
M Abdulghani - 2024 - search.proquest.com
The number of people with disabilities is high enough to create a big segment of the global
population that needs solutions to improve the quality of their lives. In this research, we …
population that needs solutions to improve the quality of their lives. In this research, we …
A machine learning framework to support multi-channel time series classification in BCI systems with preserved interpretability
M Tobón Henao - repositorio.unal.edu.co
Brain-Computer Interfaces (BCIs) based on Electroencephalography (EEG) have gained
significant attention as a practical approach for human-technology interaction. Motor …
significant attention as a practical approach for human-technology interaction. Motor …
[PDF][PDF] Explainable AI for stroke prediction: Exploring interpretable machine learning techniques that provide insights into the factors influencing stroke prediction.
A Revathi, S Sathya - sjsronline.com
Stroke is a crucial health issue that necessitates early detection and prompt intervention to
minimise its devastation. Machine learning algorithms have developed as effective methods …
minimise its devastation. Machine learning algorithms have developed as effective methods …