[HTML][HTML] Artificial intelligence and machine learning in drug discovery and development

V Patel, M Shah - Intelligent Medicine, 2022 - Elsevier
The current rise of artificial intelligence and machine learning has been significant. It has
reduced the human workload improved quality of life significantly. This article describes the …

[HTML][HTML] The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction

P Chhajer, M Shah, A Kshirsagar - Decision Analytics Journal, 2022 - Elsevier
The future is unknown and uncertain, but there are ways to predict future events and reap
the rewards safely. One such opportunity is the application of machine learning and artificial …

[HTML][HTML] An Anatomized study on the progress and prospects of CO2 utilization technology

B Shah, M Shah, V Shah, M Prajapati - Case Studies in Chemical and …, 2023 - Elsevier
Significant CO 2 concentration increases are predicted to contribute greatly to long-term
global warming and related climatic instability, resulting in unforeseeable natural disasters …

[HTML][HTML] A Convolutional Neural Network ensemble model for Pneumonia Detection using chest X-ray images

H Bhatt, M Shah - Healthcare Analytics, 2023 - Elsevier
Pneumonia is a respiratory infection caused by microbes and other environmental factors. It
infects the lungs causing a buildup of fluid and difficulty in breathing and is the leading …

A systematic study on integrating blockchain in healthcare for electronic health record management and tracking medical supplies

X Liu, R Shah, A Shandilya, M Shah… - Journal of Cleaner …, 2024 - Elsevier
In the current landscape of swiftly evolving technology, security remains a paramount
concern. Motivated by the challenges presented during pandemics such as COVID-19, this …

Judging a book by its cover: significance of UX design in gamification and computing systems

T Sushra, N Iyengar, M Shah, A Kshirsagar - Iran Journal of Computer …, 2022 - Springer
We are often asked not to judge a book by its cover. However, based on cognitive science,
humans broadly connect the performance of a product and its aesthetic appeal by assuming …

[图书][B] Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry

M Shah, A Kshirsagar, J Panchal - 2022 - taylorfrancis.com
Today, raw data on any industry is widely available. With the help of artificial intelligence (AI)
and machine learning (ML), this data can be used to gain meaningful insights. In addition, as …

[HTML][HTML] Student Trend Analysis for Foreign Education Employing Machine Learning: A Case Study from 'Disha Consultants', Gujarat, India

M Shah, A Kshirsagar, T Sushra - Annals of Data Science, 2024 - Springer
For many years, there has been literature on study abroad, student mobility, and
international student exchange; however, the scope & depth of this work has expanded …

Stock Market Price Prediction Using Gated Recurrent Unit Method

N Arikaran, G Ashwin, MM Salman, MA Raj - … Administration: Theory and …, 2024 - kuey.net
The challenges faced in stock prediction due to intricate dynamics and the lack of
interpretability in existing artificial intelligence (AI) models. Traditional models like Long …

Prediction of Stock Price Resilience, using Artificial Neural Networks (MLP) in companies listed on the Stock Exchange

S Shamsaliniya, M Safa, SK Chavoshi… - International Journal of …, 2024 - ijfma.ir
Over the past few years, the growth and development of the capital market of countries and
the introduction of new tools, mechanisms, and phenomena in it, have enhanced the …