Diseases diagnosis using fuzzy logic methods: A systematic and meta-analysis review

H Ahmadi, M Gholamzadeh, L Shahmoradi… - Computer Methods and …, 2018 - Elsevier
Abstract Background and Objective Diagnosis as the initial step of medical practice, is one of
the most important parts of complicated clinical decision making which is usually …

A critical review on the control strategies applied to PCM-enhanced buildings

G Gholamibozanjani, M Farid - Energies, 2021 - mdpi.com
The incorporation of phase change materials (PCM) in buildings has the potential to
enhance the thermal efficiency of buildings, reduce energy cost, shift peak load, and …

Principles and perspectives in medical diagnostic systems employing artificial intelligence (AI) algorithms

M Tariq, Y Hayat, A Hussain, A Tariq… - … Research Journal of …, 2024 - irjems.org
The process of identifying a health problem, illness, disorder, or other condition is known as
disease diagnosis. Diagnosing certain diseases may be quite simple at times, but there may …

Medical diagnostic systems using artificial intelligence (ai) algorithms: Principles and perspectives

S Kaur, J Singla, L Nkenyereye, S Jha, D Prashar… - IEEE …, 2020 - ieeexplore.ieee.org
Disease diagnosis is the identification of an health issue, disease, disorder, or other
condition that a person may have. Disease diagnoses could be sometimes very easy tasks …

Robust hand gesture recognition with a double channel surface EMG wearable armband and SVM classifier

M Tavakoli, C Benussi, PA Lopes, LB Osorio… - … Signal Processing and …, 2018 - Elsevier
Integration of surface EMG sensors as an input source for Human Machine Interfaces (HMIs)
is getting an increasing attention due to their application in wearable devices such as …

Single channel surface EMG control of advanced prosthetic hands: A simple, low cost and efficient approach

M Tavakoli, C Benussi, JL Lourenco - Expert Systems with Applications, 2017 - Elsevier
Surface EMGs have been the primary sources for control of prosthetic hands due to their
comfort and naturalness. The recent advances in the development of the prosthetic hands …

Reliability analysis of pile foundation using soft computing techniques: a comparative study

M Kumar, A Bardhan, P Samui, JW Hu, MR Kaloop - Processes, 2021 - mdpi.com
Uncertainty and variability are inherent to pile design and consequently, there have been
considerable researches in quantifying the reliability or probability of failure of structures …

A systematic methodology to evaluate prediction models for driving style classification

I Silva, J Eugenio Naranjo - Sensors, 2020 - mdpi.com
Identifying driving styles using classification models with in-vehicle data can provide
automated feedback to drivers on their driving behavior, particularly if they are driving safely …

Early sign detection for the stuck pipe scenarios using unsupervised deep learning

KR Mopuri, H Bilen, N Tsuchihashi, R Wada… - Journal of Petroleum …, 2022 - Elsevier
In this paper we present a novel approach for detecting early signs for the stuck events in
drilling using Deep Learning. Specifically, we adapt neural network based unsupervised …

[PDF][PDF] Applications of artificial intelligence and machine learning in orthodontics

SN Asiri, LP Tadlock, E Schneiderman… - APOS Trends …, 2020 - academia.edu
Over the past two decades, artificial intelligence (AI) and machine learning (ML) have
undergone considerable development. ere have been various applications in medicine …