Diseases diagnosis using fuzzy logic methods: A systematic and meta-analysis review
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 …
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 …
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
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 …
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
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 …
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 …
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 …
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
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 …
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 …
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
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 …
drilling using Deep Learning. Specifically, we adapt neural network based unsupervised …
[PDF][PDF] Applications of artificial intelligence and machine learning in orthodontics
Over the past two decades, artificial intelligence (AI) and machine learning (ML) have
undergone considerable development. ere have been various applications in medicine …
undergone considerable development. ere have been various applications in medicine …