Intelligent monitoring for infectious diseases with fuzzy systems and edge computing: A survey

Q Jiang, X Zhou, R Wang, W Ding, Y Chu, S Tang… - Applied Soft …, 2022 - Elsevier
Infectious diseases usually have the characteristics of rapid spread with a large impact
range. Once they break out, they will cause a large area of infection, which creates …

Advances of ecg sensors from hardware, software and format interoperability perspectives

K Husain, MS Mohd Zahid, S Ul Hassan, S Hasbullah… - Electronics, 2021 - mdpi.com
It is well-known that cardiovascular disease is one of the major causes of death worldwide
nowadays. Electrocardiogram (ECG) sensor is one of the tools commonly used by …

Exploratory data analysis, classification, comparative analysis, case severity detection, and internet of things in COVID-19 telemonitoring for smart hospitals

A Shabbir, M Shabbir, AR Javed… - … of Experimental & …, 2023 - Taylor & Francis
The proportion of COVID-19 patients is significantly expanding around the world. Treatment
with serious consideration has become a significant problem. Identifying clinical indicators of …

Feature and subfeature selection for classification using correlation coefficient and fuzzy model

HK Bhuyan, C Chakraborty, SK Pani… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article presents an analysis of data extraction for classification using correlation
coefficient and fuzzy model. Several traditional methods of data extraction are used for …

Predicting parkinson's disease progression: Evaluation of ensemble methods in machine learning

M Nilashi, RA Abumalloh… - Journal of healthcare …, 2022 - Wiley Online Library
Parkinson's disease (PD) is a complex neurodegenerative disease. Accurate diagnosis of
this disease in the early stages is crucial for its initial treatment. This paper aims to present a …

A novel intuitionistic fuzzy distance measure-SWARA-COPRAS method for multi-criteria food waste treatment technology selection

D Tripathi, SK Nigam, AR Mishra, AR Shah - Operational Research in …, 2023 - oresta.org
As an extension of fuzzy set, intuitionistic fuzzy set (IFS) considers the degrees of non-
membership and hesitancy along with the degree of membership, therefore, the knowledge …

Early diagnosis of Parkinson's disease: A combined method using deep learning and neuro-fuzzy techniques

M Nilashi, RA Abumalloh, SYM Yusuf, HH Thi… - … biology and chemistry, 2023 - Elsevier
Abstract Predicting Unified Parkinson's Disease Rating Scale (UPDRS) in Total-UPDRS and
Motor-UPDRS clinical scales is an important part of controlling PD. Computational …

Remote tracking of Parkinson's disease progression using ensembles of deep belief network and self-organizing map

M Nilashi, H Ahmadi, A Sheikhtaheri, R Naemi… - Expert Systems with …, 2020 - Elsevier
Parkinson's Disease (PD) is one of the most prevalent neurological disorders characterized
by impairment of motor function. Early diagnosis of PD is important for initial treatment. This …

Forecasting of daily new lumpy skin disease cases in Thailand at different stages of the epidemic using fuzzy logic time series, NNAR, and ARIMA methods

V Punyapornwithaya, O Arjkumpa, N Buamithup… - Preventive Veterinary …, 2023 - Elsevier
Lumpy skin disease (LSD) is an important transboundary disease affecting cattle in
numerous countries in various continents. In Thailand, LSD is regarded as a serious threat …

Fuzzy logic in surveillance big video data analysis: comprehensive review, challenges, and research directions

K Muhammad, MS Obaidat, T Hussain, JD Ser… - ACM computing …, 2021 - dl.acm.org
CCTV cameras installed for continuous surveillance generate enormous amounts of data
daily, forging the term Big Video Data (BVD). The active practice of BVD includes intelligent …