Current developments of artificial intelligence in digital pathology and its future clinical applications in gastrointestinal cancers

ANN Wong, Z He, KL Leung, CCK To, CY Wong… - Cancers, 2022 - mdpi.com
Simple Summary The rapid development of technology has enabled numerous applications
of artificial intelligence (AI), especially in medical science. Histopathological assessment of …

Classification of COVID-19 individuals using adaptive neuro-fuzzy inference system

C Iwendi, K Mahboob, Z Khalid, AR Javed, M Rizwan… - Multimedia …, 2022 - Springer
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 …

Cyber parental control: A bibliometric study

HHM Altarturi, M Saadoon, NB Anuar - Children and Youth Services Review, 2020 - Elsevier
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 …

Fuzzy ontology and LSTM-based text mining: a transportation network monitoring system for assisting travel

F Ali, S El-Sappagh, D Kwak - Sensors, 2019 - mdpi.com
Intelligent Transportation Systems (ITSs) utilize a sensor network-based system to gather
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** …

Ontology of mathematical modeling based on interval data

M Dyvak, A Melnyk, A Rot, M Hernes, A Pukas - Complexity, 2022 - Wiley Online Library
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 …

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 …

Predicting HIV status among men who have sex with men in Bulawayo & Harare, Zimbabwe using bio-behavioural data, recurrent neural networks, and machine …

I Chingombe, T Dzinamarira, D Cuadros… - Tropical Medicine and …, 2022 - mdpi.com
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 …

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 …

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 …