[HTML][HTML] A review: Data pre-processing and data augmentation techniques

K Maharana, S Mondal, B Nemade - Global Transitions Proceedings, 2022 - Elsevier
This review paper provides an overview of data pre-processing in Machine learning,
focusing on all types of problems while building the machine learning problems. It deals with …

Advances in computational intelligence of polymer composite materials: machine learning assisted modeling, analysis and design

A Sharma, T Mukhopadhyay, SM Rangappa… - … Methods in Engineering, 2022 - Springer
The superior multi-functional properties of polymer composites have made them an ideal
choice for aerospace, automobile, marine, civil, and many other technologically demanding …

Short-term rainfall forecasting using machine learning-based approaches of PSO-SVR, LSTM and CNN

FR Aderyani, SJ Mousavi, F Jafari - Journal of Hydrology, 2022 - Elsevier
Short-term rainfall forecasting plays an important role in hydrologic modeling and water
resource management problems such as flood warning and real time control of urban …

[HTML][HTML] Digital technology for quality management in construction: A review and future research directions

H Luo, L Lin, K Chen, MF Antwi-Afari, L Chen - Developments in the Built …, 2022 - Elsevier
Significant developments in digital technologies can potentially provide managers and
engineers with the ability to improve the quality of the construction industry. Acknowledging …

Scientometric review of artificial intelligence for operations & maintenance of wind turbines: The past, present and future

J Chatterjee, N Dethlefs - Renewable and Sustainable Energy Reviews, 2021 - Elsevier
Wind energy has emerged as a highly promising source of renewable energy in recent
times. However, wind turbines regularly suffer from operational inconsistencies, leading to …

Machine learning: a new prospect in multi-omics data analysis of cancer

B Arjmand, SK Hamidpour, A Tayanloo-Beik… - Frontiers in …, 2022 - frontiersin.org
Cancer is defined as a large group of diseases that is associated with abnormal cell growth,
uncontrollable cell division, and may tend to impinge on other tissues of the body by different …

Establishing data provenance for responsible artificial intelligence systems

K Werder, B Ramesh, R Zhang - ACM Transactions on Management …, 2022 - dl.acm.org
Data provenance, a record that describes the origins and processing of data, offers new
promises in the increasingly important role of artificial intelligence (AI)-based systems in …

Machine learning: its challenges and opportunities in plant system biology

M Hesami, M Alizadeh, AMP Jones… - Applied Microbiology and …, 2022 - Springer
Sequencing technologies are evolving at a rapid pace, enabling the generation of massive
amounts of data in multiple dimensions (eg, genomics, epigenomics, transcriptomic …

Predicting uniaxial compressive strength from drilling variables aided by hybrid machine learning

S Davoodi, M Mehrad, DA Wood… - International Journal of …, 2023 - Elsevier
Awareness of uniaxial compressive strength (UCS) as a key rock formation parameter for the
design and development of gas and oil field plays. It plays an essential role in the selection …

A systematic review of deep learning for silicon wafer defect recognition

U Batool, MI Shapiai, M Tahir, ZH Ismail… - IEEE …, 2021 - ieeexplore.ieee.org
Advancements in technology have made deep learning a hot research area, and we see its
applications in various fields. Its widespread use in silicon wafer defect recognition is …