Prediction of concrete and FRC properties at high temperature using machine and deep learning: a review of recent advances and future perspectives
Concrete structures when exposed to elevated temperature significantly decline their
original properties. High temperatures substantially affect the concrete physical and …
original properties. High temperatures substantially affect the concrete physical and …
[HTML][HTML] Using machine learning for healthcare challenges and opportunities
A Alanazi - Informatics in Medicine Unlocked, 2022 - Elsevier
Abstract Machine learning (ML) and its applications in healthcare have gained a lot of
attention. When enhanced computational power is combined with big data, there is an …
attention. When enhanced computational power is combined with big data, there is an …
[HTML][HTML] Supervised machine learning in drug discovery and development: Algorithms, applications, challenges, and prospects
Drug discovery and development is a time-consuming process that involves identifying,
designing, and testing new drugs to address critical medical needs. In recent years, machine …
designing, and testing new drugs to address critical medical needs. In recent years, machine …
Radiomics: from qualitative to quantitative imaging
W Rogers, S Thulasi Seetha… - The British journal of …, 2020 - academic.oup.com
Historically, medical imaging has been a qualitative or semi-quantitative modality. It is
difficult to quantify what can be seen in an image, and to turn it into valuable predictive …
difficult to quantify what can be seen in an image, and to turn it into valuable predictive …
Role of machine learning assisted biosensors in point-of-care-testing for clinical decisions
Point-of-Care-Testing (PoCT) has emerged as an essential component of modern
healthcare, providing rapid, low-cost, and simple diagnostic options. The integration of …
healthcare, providing rapid, low-cost, and simple diagnostic options. The integration of …
Real-time credit card fraud detection using machine learning
A Thennakoon, C Bhagyani… - … on Cloud Computing …, 2019 - ieeexplore.ieee.org
Credit card fraud events take place frequently and then result in huge financial losses [1].
The number of online transactions has grown in large quantities and online credit card …
The number of online transactions has grown in large quantities and online credit card …
[HTML][HTML] An in-depth review of machine learning based Android malware detection
It is estimated that around 70% of mobile phone users have an Android device. Due to this
popularity, the Android operating system attracts a lot of malware attacks. The sensitive …
popularity, the Android operating system attracts a lot of malware attacks. The sensitive …
Indoor Air Quality associations with sick building syndrome: An application of decision tree technology
Abstract Sick Building Syndrome (SBS) affects the efficiency of staff by a series of non-
specific symptoms in workplaces and also causes economic consequences annually due …
specific symptoms in workplaces and also causes economic consequences annually due …
Artificial neural networks and machine learning techniques applied to ground penetrating radar: A review
Ground Penetrating Radar is a multidisciplinary Nondestructive Evaluation technique that
requires knowledge of electromagnetic wave propagation, material properties and antenna …
requires knowledge of electromagnetic wave propagation, material properties and antenna …
[HTML][HTML] Latest advances and challenges in carbon capture using bio-based sorbents: A state-of-the-art review
Effective decarbonisation is key to ensuring the temperature rise does not exceed the 2° C
set by the Paris accords. Adsorption is identified as a key technology for post-combustion …
set by the Paris accords. Adsorption is identified as a key technology for post-combustion …