Artificial intelligence applications in prostate cancer

A Baydoun, AY Jia, NG Zaorsky, R Kashani… - Prostate cancer and …, 2024 - nature.com
Artificial intelligence (AI) applications have enabled remarkable advancements in healthcare
delivery. These AI tools are often aimed to improve accuracy and efficiency of histopathology …

Machine learning techniques for the prediction of B-cell and T-cell epitopes as potential vaccine targets with a specific focus on SARS-CoV-2 pathogen: a review

SNH Bukhari, A Jain, E Haq, A Mehbodniya, J Webber - Pathogens, 2022 - mdpi.com
The only part of an antigen (a protein molecule found on the surface of a pathogen) that is
composed of epitopes specific to T and B cells is recognized by the human immune system …

Machine learning modelling of a membrane capacitive deionization (MCDI) system for prediction of long-term system performance and optimization of process control …

Y Zhu, B Lian, Y Wang, C Miller, C Bales, J Fletcher… - Water Research, 2022 - Elsevier
Abstract Membrane Capacitive Deionization (MCDI) is a promising electrochemical
technique for water desalination. Previous studies have confirrmed the effectiveness of …

DiscoTope-3.0: improved B-cell epitope prediction using inverse folding latent representations

MH Høie, FS Gade, JM Johansen, C Würtzen… - Frontiers in …, 2024 - frontiersin.org
Accurate computational identification of B-cell epitopes is crucial for the development of
vaccines, therapies, and diagnostic tools. However, current structure-based prediction …

Ensemble conformalized quantile regression for probabilistic time series forecasting

V Jensen, FM Bianchi… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article presents a novel probabilistic forecasting method called ensemble
conformalized quantile regression (EnCQR). EnCQR constructs distribution-free and …

ML‐IDSDN: Machine learning based intrusion detection system for software‐defined network

AO Alzahrani, MJF Alenazi - Concurrency and Computation …, 2023 - Wiley Online Library
Software‐defined networking (SDN) has been developed to separate network control plane
from forwarding plane which can decrease operational costs and the time it takes to deploy …

A novel hybrid random forest linear model approach for forecasting groundwater fluoride contamination

MB Nafouanti, J Li, EE Nyakilla… - … Science and Pollution …, 2023 - Springer
Groundwater quality in the Datong basin is threatened by high fluoride contamination.
Laboratory analysis is a standard method for estimating groundwater quality parameters …

An in-depth analysis of ensemble multi-criteria decision making: A comprehensive guide to terminology, design, applications, evaluations, and future prospects

BB Zaidan, HA Ibrahim, N Mourad, AA Zaidan… - Applied Soft …, 2024 - Elsevier
Ensemble multi-criteria decision-making (ensemble MCDM) aggregates results from various
MCDM techniques into a cohesive ranking, aiming to mitigate individual technique …

Emotion recognition of EEG signals based on the ensemble learning method: AdaBoost

Y Chen, R Chang, J Guo - Mathematical Problems in …, 2021 - Wiley Online Library
In recent years, with the continuous development of artificial intelligence and brain‐
computer interface technology, emotion recognition based on physiological signals …

Multitarget physical activities monitoring and classification using a V-band FMCW radar

VGR Varela, DVQ Rodrigues… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This work proposes a radar-based physical activities monitoring solution capable of
detecting, classifying, and counting the number of repetitions of multiple human subjects …