[HTML][HTML] Machine learning-based approach: Global trends, research directions, and regulatory standpoints

R Pugliese, S Regondi, R Marini - Data Science and Management, 2021 - Elsevier
The field of machine learning (ML) is sufficiently young that it is still expanding at an
accelerating pace, lying at the crossroads of computer science and statistics, and at the core …

A comprehensive review on machine learning in healthcare industry: classification, restrictions, opportunities and challenges

Q An, S Rahman, J Zhou, JJ Kang - Sensors, 2023 - mdpi.com
Recently, various sophisticated methods, including machine learning and artificial
intelligence, have been employed to examine health-related data. Medical professionals are …

Artificial intelligence applications in K-12 education: A systematic literature review

M Zafari, JS Bazargani, A Sadeghi-Niaraki… - Ieee …, 2022 - ieeexplore.ieee.org
Education is a vital part of the development of society and it is changing over time in terms of
methods, content, concepts, and models. Recently, it has been increasingly prevalent to …

Unleashing the power of artificial intelligence in materials design

S Badini, S Regondi, R Pugliese - Materials, 2023 - mdpi.com
The integration of artificial intelligence (AI) algorithms in materials design is revolutionizing
the field of materials engineering thanks to their power to predict material properties, design …

State-of-the-art review of geotechnical-driven artificial intelligence techniques in underground soil-structure interaction

SC Jong, DEL Ong, E Oh - Tunnelling and Underground Space Technology, 2021 - Elsevier
There has been an increasing demand for underground construction due to urbanization
and limited land in metropolitan cities in the recent years. However, the behavior of …

[HTML][HTML] Sustainable AI: An integrated model to guide public sector decision-making

C Wilson, M Van Der Velden - Technology in Society, 2022 - Elsevier
Ethics, explainability, responsibility, and accountability are important concepts for
questioning the societal impacts of artificial intelligence and machine learning (AI), but are …

Machine learning: a review of the algorithms and its applications

D Dhall, R Kaur, M Juneja - … of ICRIC 2019: Recent innovations in …, 2020 - Springer
In today's world, machine learning has gained much popularity, and its algorithms are
employed in every field such as pattern recognition, object detection, text interpretation and …

Federated learning for edge computing: A survey

A Brecko, E Kajati, J Koziorek, I Zolotova - Applied Sciences, 2022 - mdpi.com
New technologies bring opportunities to deploy AI and machine learning to the edge of the
network, allowing edge devices to train simple models that can then be deployed in practice …

Influence of artificial intelligence in civil engineering toward sustainable development—a systematic literature review

B Manzoor, I Othman, S Durdyev, S Ismail… - Applied System …, 2021 - mdpi.com
The widespread use of artificial intelligence (AI) in civil engineering has provided civil
engineers with various benefits and opportunities, including a rich data collection …

Deep learning applications for disease diagnosis

DK Sharma, M Chatterjee, G Kaur, S Vavilala - Deep learning for medical …, 2022 - Elsevier
With the popularity of artificial intelligence (AI) and its integration into every field, it has
yielded positive results that have increased productivity and aided us in solving complex …