Machine learning (ML) in medicine: Review, applications, and challenges

AM Rahmani, E Yousefpoor, MS Yousefpoor… - Mathematics, 2021 - mdpi.com
Today, artificial intelligence (AI) and machine learning (ML) have dramatically advanced in
various industries, especially medicine. AI describes computational programs that mimic and …

Analysis and evaluation of machine learning applications in materials design and discovery

M Golmohammadi, M Aryanpour - Materials Today Communications, 2023 - Elsevier
Abstract Machine Learning (ML) appears to have become the main and foremost approach
to both tackle the hurdles and exploit the opportunities of The Information Age. We present …

Challenges in sustainable beef cattle production: a subset of needed advancements

JA Hubbart, N Blake, I Holásková, D Mata Padrino… - Challenges, 2023 - mdpi.com
Estimates of global population growth are often cited as a significant challenge for global
food production. It is estimated that by 2050 there will be approximately two-billion additional …

Deep learning in astronomy: a tutorial perspective

SK Meher, G Panda - The European Physical Journal Special Topics, 2021 - Springer
Astronomy is a branch of science that covers the study and analysis of all extraterrestrial
objects and their phenomena. The study brings together the aspects of mathematics …

Software Effort Estimation for Improved Decision Making

SMN Sakib - 2022 - cambridge.org
Now a days, software development organizations use machine learning techniques in
different areas to improve decision-making process so that their performance is boosted. In …

[PDF][PDF] Automatic Real-Time Medical Mask Detection Using Deep Learning to Fight COVID-19.

MKI Rahmani, F Taranum, R Nikhat… - Comput. Syst. Sci …, 2022 - researchgate.net
The Covid-19 pandemic is a virus that has disastrous effects on human lives globally, still
spreading like wildfire causing huge losses to humanity and economies. There is a need to …

An Enhanced Modeling Framework for Bearing Fault Simulation and Machine Learning-Based Identification With Bayesian-Optimized Hyperparameter Tuning

R Ortiz, P Miranda-Chiquito… - Journal of …, 2024 - asmedigitalcollection.asme.org
Monitoring the condition of rotating machinery offers a salient tool for predictive maintenance
of rolling elements subjected to continuous working loads, wear, fatigue, and degradation. In …

Philosophy of mind

AI Loiko - 2022 - rep.bntu.by
The teaching aid on the philosophy and methodology of science supplements the lecture
material with topical issues of the philosophy of consciousness. The section" Philosophy and …

Hybrid pre-training strategy for deep denoising neural networks and its application in machine fault diagnosis

B Zhao, C Cheng, Z Peng, Q He… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Removing or at least attenuating the effect of noise is of significance for machine fault
diagnosis under noisy measuring environments. In this article, deep denoising neural …

Anomaly detection of policies in distributed firewalls using data log analysis

A Andalib, SM Babamir - The Journal of Supercomputing, 2023 - Springer
A distributed firewall is a security application that monitors and controls traffic on an
organization's network. While centralized firewalls are used against attacks coming from …