Machine and deep learning methods for concrete strength Prediction: A bibliometric and content analysis review of research trends and future directions
This review paper provides a detailed evaluation of the existing landscape and future trends
in applying machine learning and deep learning approaches for predicting concrete strength …
in applying machine learning and deep learning approaches for predicting concrete strength …
[HTML][HTML] A comprehensive review of vehicle-to-grid integration in electric vehicles: Powering the future
The studies have focused on a bibliometric review of electric vehicle (EV) integration with
the grid. It follows a methodical procedure using a pre-established search strategy to …
the grid. It follows a methodical procedure using a pre-established search strategy to …
Heart Disease Diagnostics Using Meta‐Learning‐Based Hybrid Feature Selection
K Dissanayake, MG Md Johar - … Computational Intelligence and …, 2024 - Wiley Online Library
Heart disease, encompassing a range of conditions affecting the heart, remains a leading
cause of morbidity and mortality worldwide. The urgent need for precise diagnostic …
cause of morbidity and mortality worldwide. The urgent need for precise diagnostic …
Revolutionizing agricultural productivity with automated early leaf disease detection system for smart agriculture applications using IoT platform
In smart agriculture, identifying plant illnesses early is vital because it prevents diseases
from spreading. A novel statistical approach-based plant disease detection system is …
from spreading. A novel statistical approach-based plant disease detection system is …
[PDF][PDF] Two-level boosting classifiers ensemble based on feature selection for heart disease prediction
K Dissanayake, MGM Johar - Indonesian Journal of Electrical …, 2023 - researchgate.net
Heart disease is a prevalent global health concern, necessitating early detection to save
lives. Machine learning has revolutionized medical research, prompting the investigation of …
lives. Machine learning has revolutionized medical research, prompting the investigation of …
Modeling and optimization of hard turning: predictive analysis of surface roughness and cutting forces in AISI 52100 steel using machine learning
This study addresses the critical need for high-strength, corrosion-resistant materials in
renewable energy, biomedical and maritime applications, necessitating effective heat …
renewable energy, biomedical and maritime applications, necessitating effective heat …
Advancing the Connectivity and Automation of Smart Devices by Merging Artificial Intelligence with the Internet of Things
S Pareek, M Almusawi, M Al-Farouni… - 2024 4th …, 2024 - ieeexplore.ieee.org
This paper focuses at the achievement of AI with loT to improve the communication and
control of smart devices in different sectors. Therefore, different machine learning models …
control of smart devices in different sectors. Therefore, different machine learning models …
[HTML][HTML] Knowledge Discovery on Artificial Intelligence and Physical Therapy: Document Mining Analysis
J Leelarungrayub, A Yankai, S Thipcharoen - Igmin Research, 2024 - igminresearch.com
Artificial intelligence (AI) is the simulation of human intelligence and benchmarks in Physical
Therapy (PT). Therefore, the updated knowledge derived from large databases is highly …
Therapy (PT). Therefore, the updated knowledge derived from large databases is highly …