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An efficient machine learning framework for stress prediction via sensor integrated keyboard data
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 …
quest to predict diseases before they occur. In the past, research on stress prediction was …
Designing an expert system to support aviation occurrence investigations
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 …
aircraft occurrence data to support the aircraft occurrence investigators. This Expert System …
Neuro-fuzzy approach for prediction of neurological disorders: a systematic review
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 …
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
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 …
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 …
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 …
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 …
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
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 …
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 …
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
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 …
negative aspect to a greater extent. Bacteria are responsible for various diseases in …