Oil palm and machine learning: Reviewing one decade of ideas, innovations, applications, and gaps

N Khan, MA Kamaruddin, UU Sheikh, Y Yusup… - Agriculture, 2021 - mdpi.com
Machine learning (ML) offers new technologies in the precision agriculture domain with its
intelligent algorithms and strong computation. Oil palm is one of the rich crops that is also …

PyOECP: A flexible open-source software library for estimating and modeling the complex permittivity based on the open-ended coaxial probe (OECP) technique

TJ Yoon, KA Maerzke, RP Currier… - Computer Physics …, 2023 - Elsevier
Abstract We present PyOECP, a Python-based flexible open-source software for estimating
and modeling the complex permittivity obtained from the open-ended coaxial probe (OECP) …

Performance comparison of artificial neural network models for dengue fever disease detection

PS Sasongko, HA Wibawa, F Maulana… - 2017 1st international …, 2017 - ieeexplore.ieee.org
Dengue Hemorrhagic Fever (DHF) is an infectious disease caused by dengue virus and
transmitted by Ae mosquitoes. Aegypti. The mortality rate due to dengue disease is relatively …

Dengue symptoms classification analysis with improved conditional probability decision analysis

DS Babu, B Raju, S Swapna, J Kolluri, D Ramesh… - Applied …, 2023 - Springer
Dengue fever symptoms are analysed based on the specific features that governs the
different classification models that ensures the design outcome. We estimate different …

[PDF][PDF] Optimetric analysis of 1x4 array of circular microwave patch antennas for mammographic applications using adaptive gradient descent algorithm

OO Adedayo, MO Onibonoje… - International Journal of …, 2019 - academia.edu
Interest in the use of microwave equipment for breast imagery is on the increase owing to its
safety, ease of use and friendlier cost. However, some of the pertinent blights of the design …

A Drowsiness Detection Decision Support System using Self-Organising Map

FT Emmanuel, AO Ojo… - 2022 IEEE Nigeria 4th …, 2022 - ieeexplore.ieee.org
Machine learning is currently having its large share of attention in terms of application in
several fields and unsupervised learning techniques are at the forefront of this trend. This …

[PDF][PDF] Softcomputing techniques for improved electroencephalogram signal analysis

OO Adedayo, F Oladipo, I Chris - Int J Curr Eng Technol, 2015 - researchgate.net
In clinical signal processing and computer aided diagnosis, noise and relativity of human
judgment are two of the most critical challenges which researchers attempt to surmount …

Hierarchical Clustering Analysis for Specific Liver Disease-Dengue Hemorrhagic Fever (DHF).

M KARPAGAM, K GEETHA… - International Journal of …, 2020 - search.ebscohost.com
Dengue fever is a viral infection transmitted to humans by mosquitoes that live in tropical
and subtropical climates and carry the virus. Blood testing detects the dengue virus or …

[PDF][PDF] OIL PALM FRUIT RIPENESS CLASSIFICATION USING OPTICAL-BASED COLOUR SENSOR

K SAADAT - 2016 - core.ac.uk
In order to specify the ripeness of the fruit via colour distinction, a true method is needed to
be researched (MPOB, 1995). The colour presents very useful information about the maturity …

Optimetric analysis of 1x4 array of circular microwave patch antennas for mammographic applications using adaptive gradient descent algorithm

OA Ojo, MO Onibonoje… - International Journal of …, 2017 - eprints.abuad.edu.ng
Interest in the use of microwave equipment for breast imagery is on the increase owing to its
safety, ease of use and friendlier cost. However, some of the pertinent blights of the design …