Detection and diagnosis of COVID‐19 infection in lungs images using deep learning techniques
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22697
Abstract: World's science and technologies have been challenged by the COVID‐19 pandemic. Each and every community across the globe are trying to find a real‐time novel method for accurate treatment and cure of COVID‐19 infected patients.… read more here.
Keywords: detection diagnosis; deep learning; covid; covid infection ... See more keywords
Detection and diagnosis of melanoma skin cancers in dermoscopic images using pipelined internal module architecture (PIMA) method
Sign Up to like & getrecommendations! Published in 2023 at "Microscopy Research and Technique"
DOI: 10.1002/jemt.24307
Abstract: Detection and diagnosis of melanoma skin cancer is important to save the life of humans. The main objective of this article is to perform both detection and diagnosis of the skin cancers in dermoscopy images.… read more here.
Keywords: skin; melanoma; detection diagnosis; detection ... See more keywords
Review of liver segmentation and computer assisted detection/diagnosis methods in computed tomography
Sign Up to like & getrecommendations! Published in 2017 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-017-9550-x
Abstract: Computed tomography (CT) imaging remains the most utilized modality for liver-related cancer screening and treatment monitoring purposes. Liver, liver tumor and liver vasculature segmentation from CT data is a prerequisite for treatment planning and computer… read more here.
Keywords: computer assisted; detection diagnosis; segmentation; assisted detection ... See more keywords
Computer-aided detection and diagnosis of microcalcification clusters on full field digital mammograms based on deep learning method using neutrosophic boosting
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-7726-x
Abstract: Computer-aided detection (CADe) and diagnosis (CADx) system of mammographic microcalcification clusters (MCCs) is built for helping human observers to find suspicious areas of MCC and providing risk predictions of malignancy as a reference, since it… read more here.
Keywords: detection diagnosis; detection; diagnosis; method ... See more keywords
Sensor fault detection and diagnosis for a water source heat pump air-conditioning system based on PCA and preprocessed by combined clustering
Sign Up to like & getrecommendations! Published in 2019 at "Applied Thermal Engineering"
DOI: 10.1016/j.applthermaleng.2019.114098
Abstract: Abstracts Sensors play essential roles in industrial automatic control systems. The faulty or inaccurate sensors may cause uncomfortable thermal environments, shortened component lifetime and energy consumption loss. Considering the condition-adaptive issue of principal component analysis… read more here.
Keywords: diagnosis; sensor fault; detection diagnosis; pca ... See more keywords
Chiller fault detection and diagnosis with anomaly detective generative adversarial network
Sign Up to like & getrecommendations! Published in 2021 at "Building and Environment"
DOI: 10.1016/j.buildenv.2021.107982
Abstract: Abstract Data augmentation is one of the necessary steps in the process of automated data-driven fault detection and diagnosis (FDD) for chillers, while real-world operational training samples are usually imbalanced. Faulty data samples are usually… read more here.
Keywords: detection diagnosis; generative adversarial; data samples; fault detection ... See more keywords
A performance evaluation framework for building fault detection and diagnosis algorithms
Sign Up to like & getrecommendations! Published in 2019 at "Energy and Buildings"
DOI: 10.1016/j.enbuild.2019.03.024
Abstract: Abstract Fault detection and diagnosis (FDD) algorithms for building systems and equipment represent one of the most active areas of research and commercial product development in the buildings industry. However, far more effort has gone… read more here.
Keywords: detection diagnosis; performance; evaluation; fdd algorithms ... See more keywords
Unsupervised learning for fault detection and diagnosis of air handling units
Sign Up to like & getrecommendations! Published in 2020 at "Energy and Buildings"
DOI: 10.1016/j.enbuild.2019.109689
Abstract: Abstract Supervised learning techniques have witnessed significant successes in fault detection and diagnosis (FDD) for heating ventilation and air-conditioning (HVAC) systems. Despite the good performance, these techniques heavily rely on balanced datasets that contain a… read more here.
Keywords: detection diagnosis; fault detection; training; air ... See more keywords
Enhancing operational performance of AHUs through an advanced fault detection and diagnosis process based on temporal association and decision rules
Sign Up to like & getrecommendations! Published in 2020 at "Energy and Buildings"
DOI: 10.1016/j.enbuild.2020.110369
Abstract: Abstract The pervasive monitoring of HVAC systems through Building Energy Management Systems (BEMSs) is enabling the full exploitation of data-driven based methodologies for performing advanced energy management strategies. In this context, the implementation of Automated… read more here.
Keywords: methodology; detection diagnosis; detection; energy ... See more keywords
Fault detection and diagnosis of large-scale HVAC systems in buildings using data-driven methods: A comprehensive review
Sign Up to like & getrecommendations! Published in 2020 at "Energy and Buildings"
DOI: 10.1016/j.enbuild.2020.110492
Abstract: Abstract Abnormal operation of HVAC systems can result in an increase in energy usage as well as poor indoor air quality, thermal discomfort, and low productivity. Building automated systems (BAS) collects a massive amount of… read more here.
Keywords: detection diagnosis; large scale; fault detection; data driven ... See more keywords
Deep residual network based fault detection and diagnosis of photovoltaic arrays using current-voltage curves and ambient conditions
Sign Up to like & getrecommendations! Published in 2019 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2019.111793
Abstract: Abstract Automatic fault detection and diagnosis techniques for photovoltaic arrays are crucial to promote the efficiency, reliability and safety of photovoltaic systems. In recent decades, many conventional artificial intelligence approaches have been successfully applied to… read more here.
Keywords: detection diagnosis; diagnosis; fault detection; network ... See more keywords