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Showing results 2 to 11 of 11
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Issue Date
Title
Author(s)
2021
Harnessing Machine Learning Techniques for Mapping Aquaculture Waterbodies in Bangladesh
Hannah, F.
;
Nejadhashemi, A. P.
;
Juan Sebastian, H.
;
Nathan, M.
;
Josue, K.
;
Ian Kropp
;
Eeswaran, R.
;
Belton, Ben.
;
Mahfujul Haque, M.
2023
Predicting compressive strength of cementstabilized earth blocks using machine learning models incorporating cement content, ultrasonic pulse velocity, and electrical resistivity
Sathiparan, N.
;
Pratheeba, J.
2023
Prediction of compressive strength of fly ash blended pervious concrete: a machine learning approach
Sathiparan, N.
;
Pratheeba, J.
;
Daniel Niruban, S.
2023
Prediction of masonry prism strength using machine learning technique: Effect of dimension and strength parameters
Sathiparan, N.
;
Pratheeba, J.
2023
Soft computing techniques to predict the compressive strength of groundnut shell ash-blended concrete
Sathiparan, N.
;
Pratheeba, J.
2023
Soft computing techniques to predict the electrical resistivity of pervious concrete
Daniel Niruban, S.
;
Pratheeba, J.
;
Sathiparan, N.
2023
Surface response regression and machine learning techniques to predict the characteristics of pervious concrete using non-destructive measurement: Ultrasonic pulse velocity and electrical resistivity
Sathiparan, N.
;
Pratheeba, J.
;
Daniel Niruban, S.
2022
Tracking Everyone and Everything in Smart Cities with an ANN Driven Smart Antenna
Herman, K.
;
Hoole, P.R.P.
;
Pirapaharan, K.
;
Hoole, S.R.H.
2020
Understanding phishers’ strategies of mimicking uniform resource locators to leverage phishing attacks: A machine learning approach
Samantha Tharani, J.
;
Arachchilage, N.A.G.
2023
Use of soft computing approaches for the prediction of compressive strength in concrete blends with eggshell powder
Sathiparan, N.
;
Pratheeba, J.