An efficient machine learning framework for stress prediction via sensor integrated keyboard data

PB Pankajavalli, GS Karthick, R Sakthivel - IEEE Access, 2021 - ieeexplore.ieee.org
Today's sedentary life leads to a plethora of lifestyle-related illnesses. This has led to the
quest to predict diseases before they occur. In the past, research on stress prediction was …

Designing an expert system to support aviation occurrence investigations

CBR Ng, C Bil, S Sardina, T O'bree - Expert Systems with Applications, 2022 - Elsevier
This paper introduces an Expert System acting as an intelligent agent to interrogate past
aircraft occurrence data to support the aircraft occurrence investigators. This Expert System …

Neuro-fuzzy approach for prediction of neurological disorders: a systematic review

B Bali, EJ Garba - SN Computer Science, 2021 - Springer
Neurological disorders are highly prevalent worldwide, and contributes greatly to global
disease problems. This paper aimed to; presents a systematic review of the neuro-fuzzy …

Improved classification of cancerous histopathology images using color channel separation and deep learning

RK Gupta, J Manhas - Journal of Multimedia Information System, 2021 - koreascience.kr
Oral cancer is ranked second most diagnosed cancer among Indian population and ranked
sixth all around the world. Oral cancer is one of the deadliest cancers with high mortality rate …

Diagnosing alzheimer's disease using a self-organising fuzzy classifier

J Stirling, T Chen, M Bucholc - Fuzzy logic: recent applications and …, 2021 - Springer
Dementia is one of the major causes of disability and dependency among older people
worldwide. Without treatment currently available to cure dementia or to alter its progressive …

An expert system framework to support aircraft accident and incident investigations

CBR Ng, C Bil, T O'Bree - The Aeronautical Journal, 2021 - cambridge.org
The International Civil Aviation Organisation (ICAO) audits its Member States for safety
oversight and monitors its Effective Implementation (EI). The global average EI was 68.83 …

[HTML][HTML] Dementia Classification Approach Based on Non-Singleton General Type-2 Fuzzy Reasoning

CI Gonzalez - Axioms, 2024 - mdpi.com
Dementia is the most critical neurodegenerative disease that gradually destroys memory
and other cognitive functions. Therefore, early detection is essential, and to build an effective …

Assessing significance of cognitive assessments for diagnosing Alzheimer's disease with fuzzy-rough feature selection

T Chen, C Shang, P Su, Y Shen, M Mahmud… - … Presented at the 20th …, 2022 - Springer
Research in dementia diagnosis typically involves a range of data modalities and also, the
use of cognitive assessments, aiming at the development of approaches that are non …

ANN based early detection of Alzheimer disease on selected features

SG Yıldız, K Yıldız - Mühendislik Bilimleri ve Tasarım Dergisi, 2023 - dergipark.org.tr
Alzheimer's Disease (AD) is a type of dementia, also called cognitive impairment. In cases
where measures are not taken against the disease, it may result in a decrease in the quality …

An intelligent species level deep learning-based framework in automatic classification of microscopic bacteria images

P Rani, S Kotwal, J Manhas - … and Computer Vision: Proceedings of ICICV …, 2022 - Springer
Microorganisms play a crucial role in earth's ecosystem and contribute both positively and in
negative aspect to a greater extent. Bacteria are responsible for various diseases in …