Electrical load forecasting models: A critical systematic review
Electricity forecasting is an essential component of smart grid, which has attracted
increasing academic interest. Forecasting enables informed and efficient responses for …
increasing academic interest. Forecasting enables informed and efficient responses for …
Review of transfer learning in modeling additive manufacturing processes
Modeling plays an important role in the additive manufacturing (AM) process and quality
control. In practice, however, only limited data are available for each product due to the …
control. In practice, however, only limited data are available for each product due to the …
Data-driven smart manufacturing
The advances in the internet technology, internet of things, cloud computing, big data, and
artificial intelligence have profoundly impacted manufacturing. The volume of data collected …
artificial intelligence have profoundly impacted manufacturing. The volume of data collected …
[HTML][HTML] Analyzing the impact of feature selection on the accuracy of heart disease prediction
Heart Disease has become one of the most serious diseases that has a significant impact on
human life. It has emerged as one of the leading causes of mortality among the people …
human life. It has emerged as one of the leading causes of mortality among the people …
An effective approach for software project effort and duration estimation with machine learning algorithms
During the last two decades, there has been substantial research performed in the field of
software estimation using machine learning algorithms that aimed to tackle deficiencies of …
software estimation using machine learning algorithms that aimed to tackle deficiencies of …
[HTML][HTML] A performance analysis of dimensionality reduction algorithms in machine learning models for cancer prediction
Developments in technology facilitate the use of machine learning methods in medical
fields. In cancer research, the combination of machine learning tools and gene expression …
fields. In cancer research, the combination of machine learning tools and gene expression …
Solar radiation prediction using different machine learning algorithms and implications for extreme climate events
L Huang, J Kang, M Wan, L Fang, C Zhang… - Frontiers in Earth …, 2021 - frontiersin.org
Solar radiation is the Earth's primary source of energy and has an important role in the
surface radiation balance, hydrological cycles, vegetation photosynthesis, and weather and …
surface radiation balance, hydrological cycles, vegetation photosynthesis, and weather and …
[HTML][HTML] Novel logic mining incorporating log linear approach
Mining the best logical rule from the data is a challenging task because not all attribute of the
dataset will contribute towards the optimal logical representation. Even if the correct …
dataset will contribute towards the optimal logical representation. Even if the correct …
A literature review of using machine learning in software development life cycle stages
The software engineering community is rapidly adopting machine learning for transitioning
modern-day software towards highly intelligent and self-learning systems. However, the …
modern-day software towards highly intelligent and self-learning systems. However, the …
An IoT-focused intrusion detection system approach based on preprocessing characterization for cybersecurity datasets
Security in IoT networks is currently mandatory, due to the high amount of data that has to be
handled. These systems are vulnerable to several cybersecurity attacks, which are …
handled. These systems are vulnerable to several cybersecurity attacks, which are …