Current developments of artificial intelligence in digital pathology and its future clinical applications in gastrointestinal cancers
Simple Summary The rapid development of technology has enabled numerous applications
of artificial intelligence (AI), especially in medical science. Histopathological assessment of …
of artificial intelligence (AI), especially in medical science. Histopathological assessment of …
Classification of COVID-19 individuals using adaptive neuro-fuzzy inference system
Coronavirus is a fatal disease that affects mammals and birds. Usually, this virus spreads in
humans through aerial precipitation of any fluid secreted from the infected entity's body part …
humans through aerial precipitation of any fluid secreted from the infected entity's body part …
Cyber parental control: A bibliometric study
Cyber parental control is a multidisciplinary field that aims to provide a safe Internet
environment for children by authorizing parents or guardians to practice control on their …
environment for children by authorizing parents or guardians to practice control on their …
Fuzzy ontology and LSTM-based text mining: a transportation network monitoring system for assisting travel
Intelligent Transportation Systems (ITSs) utilize a sensor network-based system to gather
and interpret traffic information. In addition, mobility users utilize mobile applications to …
and interpret traffic information. In addition, mobility users utilize mobile applications to …
Intelligent and adaptive web data extraction system using convolutional and long short-term memory deep learning networks
SK Patnaik, CN Babu, M Bhave - Big Data Mining and Analytics, 2021 - ieeexplore.ieee.org
Data are crucial to the growth of e-commerce in today's world of highly demanding hyper-
personalized consumer experiences, which are collected using advanced web scra** …
personalized consumer experiences, which are collected using advanced web scra** …
Ontology of mathematical modeling based on interval data
An ontological approach as a tool for managing the processes of constructing mathematical
models based on interval data and further use of these models for solving applied problems …
models based on interval data and further use of these models for solving applied problems …
Automatic detection of pornographic and gambling websites based on visual and textual content using a decision mechanism
Y Chen, R Zheng, A Zhou, S Liao, L Liu - Sensors, 2020 - mdpi.com
Pornographic and gambling websites become increasingly stubborn via disguising,
misleading, blocking, and bypassing, which hinder the construction of a safe and healthy …
misleading, blocking, and bypassing, which hinder the construction of a safe and healthy …
Predicting HIV status among men who have sex with men in Bulawayo & Harare, Zimbabwe using bio-behavioural data, recurrent neural networks, and machine …
HIV and AIDS continue to be major public health concerns globally. Despite significant
progress in addressing their impact on the general population and achieving epidemic …
progress in addressing their impact on the general population and achieving epidemic …
A framework for detecting intentions of criminal acts in social media: A case study on twitter
R Resende de Mendonça, D Felix de Brito… - Information, 2020 - mdpi.com
Criminals use online social networks for various activities by including communication,
planning, and execution of criminal acts. They often employ ciphered posts using slang …
planning, and execution of criminal acts. They often employ ciphered posts using slang …
An improved selective ensemble learning method for highway traffic flow state identification
Z Wang, R Chu, M Zhang, X Wang, S Luan - IEEE Access, 2020 - ieeexplore.ieee.org
Reliable and accurate real-time traffic flow state identification is crucial for an intelligent
transportation system (ITS). This identification is a prerequisite for alleviating traffic …
transportation system (ITS). This identification is a prerequisite for alleviating traffic …