Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET
Medical imaging is a rich source of invaluable information necessary for clinical judgements.
However, the analysis of those exams is not a trivial assignment. In recent times, the use of …
However, the analysis of those exams is not a trivial assignment. In recent times, the use of …
Dissolved gas analysis principle-based intelligent approaches to fault diagnosis and decision making for large oil-immersed power transformers: A survey
L Cheng, T Yu - Energies, 2018 - mdpi.com
Compared with conventional methods of fault diagnosis for power transformers, which have
defects such as imperfect encoding and too absolute encoding boundaries, this paper …
defects such as imperfect encoding and too absolute encoding boundaries, this paper …
Microgrid fault detection and classification: Machine learning based approach, comparison, and reviews
Accurate fault classification and detection for the microgrid (MG) becomes a concern among
the researchers from the state-of-art of fault diagnosis as it increases the chance to increase …
the researchers from the state-of-art of fault diagnosis as it increases the chance to increase …
Fault identification of photovoltaic array based on machine learning classifiers
Fault identification in Photovoltaic (PV) array is a contemporary research topic motivated by
the higher penetration levels of PV systems in recent electrical grids. Therefore, this work …
the higher penetration levels of PV systems in recent electrical grids. Therefore, this work …
Extraction of decision rules using genetic algorithms and simulated annealing for prediction of severity of traffic accidents by motorcyclists
The objective of this study is to analysis of accident of motorcyclists on Bogotá roads in
Colombia. For detection of conditions related to crashes and their severity, the proposed …
Colombia. For detection of conditions related to crashes and their severity, the proposed …
Computerized lung sound based classification of asthma and chronic obstructive pulmonary disease (COPD)
Diagnostic ambiguity between chronic pulmonary diseases like asthma and Chronic
Obstructive Pulmonary Disease (COPD) is very high, as they exhibit similar symptoms …
Obstructive Pulmonary Disease (COPD) is very high, as they exhibit similar symptoms …
Artificial intelligence and ChatGPT are fostering knowledge sharing, ethics, academia and libraries
Purpose Given the increasing attention on ChatGPT in academia due to its advanced
features and capabilities, this study aims to examine the links among Artificial intelligence …
features and capabilities, this study aims to examine the links among Artificial intelligence …
[PDF][PDF] Diagnosis of Coronavirus disease 2019 (Covid-19) surveillance using C4. 5 algorithm
Abstract Coronavirus Disease 2019 (COVID-19) has become a pandemic in Indonesia as a
non-natural disaster in the form of disease outbreaks which must be undertaken as a …
non-natural disaster in the form of disease outbreaks which must be undertaken as a …
2D‐Quantitative structure–activity relationship modeling for risk assessment of pharmacotherapy applied during pregnancy
The risk evaluation for pharmacological therapy during pregnancy is critical for maternal and
fetal health. The initial risk assessment stage, the risk measurement, begins with pregnancy …
fetal health. The initial risk assessment stage, the risk measurement, begins with pregnancy …
Classification of computed tomography images in different slice positions using deep learning
This study aimed at elucidating the relationship between the number of computed
tomography (CT) images, including data concerning the accuracy of models and contrast …
tomography (CT) images, including data concerning the accuracy of models and contrast …