A contemporary review on drought modeling using machine learning approaches
Drought is the least understood natural disaster due to the complex relationship of multiple
contributory factors. Its beginning and end are hard to gauge, and they can last for months or …
contributory factors. Its beginning and end are hard to gauge, and they can last for months or …
Iot-cloud-based smart healthcare monitoring system for heart disease prediction via deep learning
AA Nancy, D Ravindran, PMD Raj Vincent… - Electronics, 2022 - mdpi.com
The Internet of Things confers seamless connectivity between people and objects, and its
confluence with the Cloud improves our lives. Predictive analytics in the medical domain can …
confluence with the Cloud improves our lives. Predictive analytics in the medical domain can …
Artificial intelligence based prognostic maintenance of renewable energy systems: A review of techniques, challenges, and future research directions
Since the depletion of fossil fuels, the world has started to rely heavily on renewable sources
of energy. With every passing year, our dependency on renewable sources of energy is …
of energy. With every passing year, our dependency on renewable sources of energy is …
[HTML][HTML] Blockchain and ANFIS empowered IoMT application for privacy preserved contact tracing in COVID-19 pandemic
B Aslam, AR Javed, C Chakraborty… - Personal and …, 2021 - ncbi.nlm.nih.gov
Life-threatening novel severe acute respiratory syndrome coronavirus (SARS-CoV-2), also
known as COVID-19, has engulfed the world and caused health and economic challenges …
known as COVID-19, has engulfed the world and caused health and economic challenges …
Wavelet packet and fuzzy logic theory for automatic fault detection in induction motor
In this paper, a method based on the application of the fuzzy logic technique to diagnose the
fault of broken rotor bars in an induction machine has been proposed. Through the …
fault of broken rotor bars in an induction machine has been proposed. Through the …
A novel scheme for classification of epilepsy using machine learning and a fuzzy inference system based on wearable-sensor health parameters
The tremendous growth of health-related digital information has transformed machine
learning algorithms, allowing them to deliver more relevant information while remotely …
learning algorithms, allowing them to deliver more relevant information while remotely …
A genetic algorithm-based energy-aware multi-hop clustering scheme for heterogeneous wireless sensor networks
Background The energy-constrained heterogeneous nodes are the most challenging
wireless sensor networks (WSNs) for developing energy-aware clustering schemes …
wireless sensor networks (WSNs) for developing energy-aware clustering schemes …
Blockchain for COVID-19: a comprehensive review
H Shah, M Shah, S Tanwar… - Personal and Ubiquitous …, 2021 - pmc.ncbi.nlm.nih.gov
The rampant and sudden outbreak of the SARS-CoV-2 coronavirus also called COVID-19
and its uncontrollable spread have led to a global crisis. COVID-19 is a highly contagious …
and its uncontrollable spread have led to a global crisis. COVID-19 is a highly contagious …
Application of fuzzy multi-objective model for crashing the construction of steel structure projects post-pandemic (Covid-19)
Abstract Post-COVID-19, construction projects faced several scenarios because many
projects were delayed for the scheduled time. Owners and contractors work to achieve the …
projects were delayed for the scheduled time. Owners and contractors work to achieve the …
[HTML][HTML] A LinkedIn-based analysis of the US dynamic adaptations in healthcare during the COVID-19 pandemic
T Daglis, KP Tsagarakis - Healthcare Analytics, 2024 - Elsevier
Despite its side effects on the global environment, the pandemic has created business
opportunities for healthcare. This work utilizes LinkedIn data to examine the features of US …
opportunities for healthcare. This work utilizes LinkedIn data to examine the features of US …