Green computing for sustainable future technologies and its applications

S Ahmad, S Mishra, V Sharma - … Risks in Emerging Technology, Part A, 2023 - emerald.com
Purpose: Green computing is a way of using the computer resource in an eco-friendly while
maintaining and decreasing the harmful environmental impact. Minimising toxic materials …

Exploring Machine Learning Applications in Chemical Production through Valorization of Biomass, Plastics, and Petroleum Resources: A Comprehensive Review

IH Mafat, DV Surya, SK Sharma, CS Rao - Journal of Analytical and Applied …, 2024 - Elsevier
Abstract Machine learning (ML) is a subtype of artificial intelligence that uses a computer's
ability to learn from a given set of accessible data. ML is becoming prominent in almost …

AI empowered 6G technologies and network layers: Recent trends, opportunities, and challenges

HU Rashid, SH Jeong - Expert Systems with Applications, 2024 - Elsevier
The exponential surge in demand for wireless connectivity has propelled the widespread
deployment of 5G communication networks, catalyzing a transformative paradigm shift in …

Patient health monitoring using feed forward neural network with cloud based internet of things

M Gupta, M Thirumalaisamy… - 2022 2nd …, 2022 - ieeexplore.ieee.org
The healthcare sector is under pressure to embrace new technologies that are available on
the market in order to enhance the overall quality of their services. Telecommunications …

Hybrid aquila arithmetic optimization based ANFIS for harmonic mitigation in grid connected solar fed distributed energy systems

J Zahariah - Electric Power Systems Research, 2024 - Elsevier
Recently, with a rapid progression of power generation, renewable energy sources based
on distributed generation have attained a great deal of attention. Solar energy (ie photo …

AI enabled NLP based text to text medical Chatbot

K Anjum, M Sameer, S Kumar - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Usually, people are not conscious of the several treatments or manifestations of a particular
illness. They usually have to go to the hospital for minor health problems, which needs an …

A novel methodology based soil characteristic analysis using machine learning techniques

K Sood, S Shamsher, M Thirumalaisamy… - 2022 2nd …, 2022 - ieeexplore.ieee.org
Every area of knowledge has been digitized since the advent of the computer, allowing
individuals who have access to computer resources to access the information available. As …

Clustering group-sparse mode decomposition and its application in rolling bearing fault diagnosis

B Pang, B Wang, Y Hu, T Cheng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Group-sparse mode decomposition (GSMD) is a novel signal decomposition algorithm
based on the concept of group sparse. It is fast, robust against noise, and has good anti …

Twitter bot detection using machine learning algorithms

N Narayan - 2021 fourth international conference on electrical …, 2021 - ieeexplore.ieee.org
In nowadays world lots of people like a businessman's, Media, politicians, etc., uses Twitter
daily & have become an important part of life. Twitter is one of the favourite social networking …

Cyber-security threats to IoMT-enabled healthcare systems

S Roobini, M Kavitha, M Sujaritha… - Cognitive Computing for …, 2022 - taylorfrancis.com
The traditional healthcare systems are confronted with new issues as the number of patients
keeps rising. The design of the Internet of Medical Things (IoMT) addresses this problem …