Results 31 to 40 of about 18,492,174 (314)
A Deep Convolutional Neural Network for the Early Detection of Heart Disease
Biomedicines, 2022 Heart disease is one of the key contributors to human death. Each year, several people die due to this disease. According to the WHO, 17.9 million people die each year due to heart disease. With the various technologies and techniques developed for heart-
Sadia Arooj +5 more
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Informing students using virtual microscopes and their impact on students' approach to learning [PDF]
, 2007 This research is an exploratory study of students ’ approaches to studying histology and pathology. With the introduction of virtual microscopes in Health Science at Murdoch University, Australia, in 2006, it was crucial to investigate how this new ...
Sudweeks, F. +3 more
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Deep Learning Approach for Dermototis Identification
2020 IEEE REGION 10 CONFERENCE (TENCON), 2020 The advancements in Computer Vision with Deep Learning are playing an essential role in aiding Healthcare Organizations to offer better patient care while reducing costs and improving efficiencies. The medical industry has seen a sharp growth since the past few decades and it has benefited thousands of living beings.
Boppana, Lakshmi +3 more
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IEEE Access, 2022 Peer-to-peer (P2P) energy trading system has the ability to completely revolutionize the current household energy system by sharing energy among residents.
Manassakan Sanayha, Peerapon Vateekul
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Automated Cobb angle measurement in scoliosis radiographs: A deep learning approach for screening
Annals, Academy of Medicine, SingaporeAdolescent idiopathic scoliosis is the most common paediatric spinal deformity, impacting 1 in 300 children.1 In Singapore and other countries, national screening programmes have been established to detect scoliosis early, with the aim of using bracing ...
Xi Zhen Low +9 more
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Image Search Engine for Digital History: A deep learning approach
, 2021 This research investigates and describes an image search engine for digital history using deep learning technologies. It is part of the Engineering Historical Memory research, contributing to a multilingual and transcultural approach to decode-encode the
Vergroesen, Laurens (author) +2 more
core
Deep learning approach to multimedia traffic classification based on QoS characteristics
IET Networks, 2019 With the fast increase of multimedia traffic in Internet of Things (IoT) applications, IoT traffic now requires very different Quality of Service (QoS).
Zaijian Wang, Shiwen Mao, Weidong Yang
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Deep learning approach for microarray cancer data classification
CAAI Transactions on Intelligence Technology, 2019 Analysis of microarray data is a highly challenging problem due to the inherent complexity in the nature of the data associated with higher dimensionality, smaller sample size, imbalanced number of classes, noisy data-structure, and higher variance of ...
Hema Shekar Basavegowda, Guesh Dagnew
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Deep Learning for Causal Inference
, 2021 This primer systematizes the emerging literature on causal inference using deep neural networks under the potential outcomes framework. It provides an intuitive introduction on building and optimizing custom deep learning models and shows how to adapt ...
Tim Sainburg +6 more
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MetalsIn this study, carbon steel was examined under different corrosive conditions using electrochemical noise (EN) as the primary method of investigation.
Ahmed Abdulmutaali +3 more
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