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Now showing items 11-20 of 21
Machine learning for cybersecurity in smart grids: A comprehensive review-based study on methods, solutions, and prospects
(
Elsevier B.V.
, 2022 , Article Review)
In modern Smart Grids (SGs) ruled by advanced computing and networking technologies, condition monitoring relies on secure cyberphysical connectivity. Due to this connection, a portion of transported data, containing ...
An investigation to study the effects of Tai Chi on human gait dynamics using classical machine learning
(
Elsevier
, 2022 , Article)
Tai Chi has been proven effective in preventing falls in older adults, improving the joint function of knee osteoarthritis patients, and improving the balance of stroke survivors. However, the effect of Tai Chi on human ...
A comprehensive review of COVID-19 detection techniques: From laboratory systems to wearable devices
(
Elsevier
, 2022 , Article Review)
Screening of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among symptomatic and asymptomatic patients offers unique opportunities for curtailing the transmission of novel coronavirus disease 2019, commonly ...
Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques
(
MDPI
, 2022 , Article)
Diabetes mellitus (DM) can lead to plantar ulcers, amputation and death. Plantar foot thermogram images acquired using an infrared camera have been shown to detect changes in temperature distribution associated with a ...
Editorial: Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC)
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Conference Paper)
Machine learning (ML) is the subcategory of artificial intelligence (AI), which has the capability to imitate human behavior intelligently as per the task performed by the human. In the modern time, any organization ...
An integrated framework of data-driven, metaheuristic, and mechanistic modeling approach for biomass pyrolysis
(
Elsevier
, 2022 , Article)
This study presents an integrated hybrid framework of data-driven (cascade forward neural network (CFNN)), metaheuristic (artificial bee colony (ABC)), and a mechanistic modeling (Aspen simulation) approach for the biomass ...
Urban resilience and livability performance of European smart cities: A novel machine learning approach
(
Elsevier
, 2022 , Article)
Smart cities are centres of economic opulence and hope for standardized living. Understanding the shades of urban resilience and livability in smart city models is of paramount importance. This study presents a novel ...
State of charge estimation for a group of lithium-ion batteries using long short-term memory neural network
(
Elsevier
, 2022 , Article)
The present paper estimates for the first time the State of Charge (SoC) of a high capacity grid-scale lithium-ion battery storage system used to improve the power profile in a distribution network. The proposed long ...
Developing future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges
(
Elsevier
, 2022 , Article Review)
As the globally increasing population drives rapid urbanization in various parts of the world, there is a great need to deliberate on the future of the cities worth living. In particular, as modern smart cities embrace ...
Factors Affecting Student Satisfaction Towards Online Teaching: A Machine Learning Approach
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Conference Paper)
During the outbreak of the Covid-19 pandemic, universities were forced to adopt technology and collaboration tools to reinforce online teaching and sustain their operations. This radical change pushes universities, ...