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Fog Computing Potentials, Applications, and Challenges
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
The emergence of Internet of Things (IoT) and the technological advancements of smart devices and wearable gadgets, are empowering new real-Time applications such as health monitoring, traffic monitoring, tele-surveillance, ...
Assessing the relation between mud components and rheology for loss circulation prevention using polymeric gels: A machine learning approach
(
MDPI AG
, 2021 , Article)
The traditional way to mitigate loss circulation in drilling operations is to use preventative and curative materials. However, it is difficult to quantify the amount of materials from every possible combination to produce ...
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 ...
Machine learning and discriminant function analysis in the formulation of generic models for sex prediction using patella measurements
(
Springer Nature
, 2022 , Article)
Sex prediction from bone measurements that display sexual dimorphism is one of the most important aspects of forensic anthropology. Some bones like the skull and pelvis display distinct morphological traits that are based ...
Real-time smart-digital stethoscope system for heart diseases monitoring
(
MDPI AG
, 2019 , Article)
One of the major causes of death all over the world is heart disease or cardiac dysfunction. These diseases could be identified easily with the variations in the sound produced due to the heart activity. These sophisticated ...
Machine Learning Application for Optimizing Asymmetrical Reduction of Acetophenone Employing Complete Cell of Lactobacillus Senmaizuke as an Environmentally Friendly Approach
(
Hysen MANKOLLI, Earth System Science Interdisciplinary Center (ESSIC)
, 2020 , Article)
Recently, optimization of the bioreduction reactions by optimization methodologies has gained special interest as these reactions are affected by several extrinsic factors that should be optimized for higher yields. An ...
Single and multiphase flow leak detection in onshore/offshore pipelines and subsurface sequestration sites: An overview
(
Elsevier
, 2024 , Article)
Leaks may occur in existing pipelines, even when designed with quality construction and appropriate regulations. The economic impact of oil spills and natural gas dispersion from leaks can be huge. Failure to detect pipeline ...
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 ...
Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach
(
Springer
, 2020 , Article)
© 2020, Springer-Verlag London Ltd., part of Springer Nature. Bitcoin is a decentralized cryptocurrency, which is a type of digital asset that provides the basis for peer-to-peer financial transactions based on blockchain ...
Smart Edge Healthcare Data Sharing System
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Smart health systems improve the efficiency of healthcare infrastructures and biomedical systems by integrating information and technology into health and medical practices. However, reliability, scalabilty and latency are ...