Application of machine learning, deep learning and optimization algorithms in geoengineering and geoscience: Comprehensive review and future challenge
W Zhang, X Gu, L Tang, Y Yin, D Liu, Y Zhang - Gondwana Research, 2022 - Elsevier
Abstract The so-called Fourth Paradigm has witnessed a boom during the past two decades,
with large volumes of observational data becoming available to scientists and engineers …
with large volumes of observational data becoming available to scientists and engineers …
[HTML][HTML] Artificial intelligence techniques for enabling Big Data services in distribution networks: A review
Artificial intelligence techniques lead to data-driven energy services in distribution power
systems by extracting value from the data generated by the deployed metering and sensing …
systems by extracting value from the data generated by the deployed metering and sensing …
A deep learning-based cryptocurrency price prediction scheme for financial institutions
A cryptocurrency is a network-based digital exchange medium, where the records are
secured using strong cryptographic algorithms such as Secure Hash Algorithm 2 (SHA-2) …
secured using strong cryptographic algorithms such as Secure Hash Algorithm 2 (SHA-2) …
An ensemble learning and fog-cloud architecture-driven cyber-attack detection framework for IoMT networks
Abstract Internet of Medical Things (IoMT), an application of Internet of Things (IoT), is
addressing countless limitation of traditional health-care systems such as quality of patient …
addressing countless limitation of traditional health-care systems such as quality of patient …
Smart secure sensing for IoT-based agriculture: Blockchain perspective
Agriculture is a vital area for the sustenance of mankind engulfing manufacturing, security,
traceability, and sustainable resource management. With the resources receding …
traceability, and sustainable resource management. With the resources receding …
The duo of artificial intelligence and big data for industry 4.0: Applications, techniques, challenges, and future research directions
The increasing need for economic, safe, and sustainable smart manufacturing combined
with novel technological enablers has paved the way for artificial intelligence (AI) and big …
with novel technological enablers has paved the way for artificial intelligence (AI) and big …
Internet of things: Evolution, concerns and security challenges
The escalated growth of the Internet of Things (IoT) has started to reform and reshape our
lives. The deployment of a large number of objects adhered to the internet has unlocked the …
lives. The deployment of a large number of objects adhered to the internet has unlocked the …
Intrusion Detection in Industrial Internet of Things Network‐Based on Deep Learning Model with Rule‐Based Feature Selection
The Industrial Internet of Things (IIoT) is a recent research area that links digital equipment
and services to physical systems. The IIoT has been used to generate large quantities of …
and services to physical systems. The IIoT has been used to generate large quantities of …
Future Horizons: AI-Enhanced Threat Detection in Cloud Environments: Unveiling Opportunities for Research
In this extensive and comprehensive review paper, we delve into the dynamic landscape of
artificial intelligence (AI)-enhanced threat detection within cloud environments. The …
artificial intelligence (AI)-enhanced threat detection within cloud environments. The …
TP2SF: A Trustworthy Privacy-Preserving Secured Framework for sustainable smart cities by leveraging blockchain and machine learning
With the advancement in sensor technology and the proliferation of low-cost electronic
circuits, Internet of Things (IoT) is emerging as a promising technology for realization of …
circuits, Internet of Things (IoT) is emerging as a promising technology for realization of …