Materials informatics: From the atomic-level to the continuum
In recent years materials informatics, which is the application of data science to problems in
materials science and engineering, has emerged as a powerful tool for materials discovery …
materials science and engineering, has emerged as a powerful tool for materials discovery …
Applications of machine learning in networking: a survey of current issues and future challenges
Communication networks are expanding rapidly and becoming increasingly complex. As a
consequence, the conventional rule-based algorithms or protocols may no longer perform at …
consequence, the conventional rule-based algorithms or protocols may no longer perform at …
Human digital twin for fitness management
Our research work describes a team of human Digital Twins (DTs), each tracking fitness-
related measurements describing an athlete's behavior in consecutive days (eg food …
related measurements describing an athlete's behavior in consecutive days (eg food …
On the performance of deep transfer learning networks for brain tumor detection using MR images
S Ahmad, PK Choudhury - IEEE Access, 2022 - ieeexplore.ieee.org
A brain tumor need to be identified in its early stage, otherwise it may cause severe
condition that cannot be cured once it is progressed. A precise diagnosis of brain tumor can …
condition that cannot be cured once it is progressed. A precise diagnosis of brain tumor can …
[HTML][HTML] Detection of breast cancer by ATR-FTIR spectroscopy using artificial neural networks
RC Tomas, AJ Sayat, AN Atienza, JL Danganan… - PLoS …, 2022 - journals.plos.org
In this study, three (3) neural networks (NN) were designed to discriminate between
malignant (n= 78) and benign (n= 88) breast tumors using their respective attenuated total …
malignant (n= 78) and benign (n= 88) breast tumors using their respective attenuated total …
Predicting at-risk university students based on their e-book reading behaviours by using machine learning classifiers
Providing early predictions of academic performance is necessary for identifying at-risk
students and subsequently providing them with timely intervention for critical factors affecting …
students and subsequently providing them with timely intervention for critical factors affecting …
[HTML][HTML] Fault detection and diagnosis in refrigeration systems using machine learning algorithms
Z Soltani, KK Sørensen, J Leth, JD Bendtsen - International Journal of …, 2022 - Elsevier
The functionality of industrial refrigeration systems is important for environment-friendly
companies and organizations, since faulty systems can impact human health by lowering …
companies and organizations, since faulty systems can impact human health by lowering …
[HTML][HTML] A proposal of implementation of sitting posture monitoring system for wheelchair utilizing machine learning methods
This paper presents a posture recognition system aimed at detecting sitting postures of a
wheelchair user. The main goals of the proposed system are to identify and inform irregular …
wheelchair user. The main goals of the proposed system are to identify and inform irregular …
ADscreen: A speech processing-based screening system for automatic identification of patients with Alzheimer's disease and related dementia
Alzheimer's disease and related dementias (ADRD) present a looming public health crisis,
affecting roughly 5 million people and 11% of older adults in the United States. Despite …
affecting roughly 5 million people and 11% of older adults in the United States. Despite …
A grey-box machine learning based model of an electrochemical gas sensor
A grey-box machine learning based model of an electrochemical O 2–NO x sensor is
developed using the physical understanding of the sensor working principles and a state-of …
developed using the physical understanding of the sensor working principles and a state-of …