[HTML][HTML] Multi-source information fusion: Progress and future
Abstract Multi-Source Information Fusion (MSIF), as a comprehensive interdisciplinary field
based on modern information technology, has gained significant research value and …
based on modern information technology, has gained significant research value and …
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 …
Fractionation of dyes/salts using loose nanofiltration membranes: Insight from machine learning prediction
Wastewater (WW) served as the crucial indicator for sustainable development, human
health, and the ecosystem. Nanofiltration (NF) membranes are efficient in contaminants, dye …
health, and the ecosystem. Nanofiltration (NF) membranes are efficient in contaminants, dye …
Exploring the computational effects of advanced deep neural networks on logical and activity learning for enhanced thinking skills
D Li, KD Ortegas, M White - Systems, 2023 - mdpi.com
The Logical and Activity Learning for Enhanced Thinking Skills (LAL) method is an
educational approach that fosters the development of critical thinking, problem-solving, and …
educational approach that fosters the development of critical thinking, problem-solving, and …
[HTML][HTML] Applications of artificial intelligence to obesity research: scoping review of methodologies
Background Obesity is a leading cause of preventable death worldwide. Artificial
intelligence (AI), characterized by machine learning (ML) and deep learning (DL), has …
intelligence (AI), characterized by machine learning (ML) and deep learning (DL), has …
Methods, progresses, and opportunities of materials informatics
C Li, K Zheng - InfoMat, 2023 - Wiley Online Library
As an implementation tool of data intensive scientific research methods, machine learning
(ML) can effectively shorten the research and development (R&D) cycle of new materials by …
(ML) can effectively shorten the research and development (R&D) cycle of new materials by …
Machine learning in coastal bridge hydrodynamics: a state-of-the-art review
Coastal bridges are vulnerable to complicated hydrodynamics induced by hostile natural
hazards, relevant research is thus required to ensure the safe operation of these critical …
hazards, relevant research is thus required to ensure the safe operation of these critical …
Conditional tabular generative adversarial based intrusion detection system for detecting ddos and dos attacks on the internet of things networks
The increasing use of Internet of Things (IoT) devices has led to a rise in Distributed Denial
of Service (DDoS) and Denial of Service (DoS) attacks on these networks. These attacks can …
of Service (DDoS) and Denial of Service (DoS) attacks on these networks. These attacks can …
Detecting cutout shape and predicting its location in sandwich structures using free vibration analysis and tuned machine-learning algorithms
This paper deals with the detection of cutout shapes and the prediction of their location
using machine learning algorithms. To this end, a series of simulation studies were …
using machine learning algorithms. To this end, a series of simulation studies were …
Performance of Naïve Bayes Tree with ensemble learner techniques for groundwater potential mapping
T Van Phong, BT Pham - Physics and Chemistry of the Earth, Parts A/B/C, 2023 - Elsevier
Water supply is a key challenge and priority for achieving sustainable development goals in
many countries. Recognizing areas with groundwater potential is crucial in addressing this …
many countries. Recognizing areas with groundwater potential is crucial in addressing this …