Machine learning guided polyamide membrane with exceptional solute–solute selectivity and permeance

H Deng, Z Luo, J Imbrogno, TM Swenson… - Environmental …, 2022 - ACS Publications
Designing polymeric membranes with high solute–solute selectivity and permeance is
important but technically challenging. Existing industrial interfacial polymerization (IP) …

Analysis of color image features extraction using texture methods

A AlQaisi, M AlTarawneh, ZA Alqadi… - TELKOMNIKA …, 2019 - telkomnika.uad.ac.id
A digital color images are the most important types of data currently being traded; they are
used in many vital and important applications. Hence, the need for a small data …

[PDF][PDF] Analysis of procedures used to build an optimal fingerprint recognition system

A Hindi, MO Dwairi, Z Alqadi - International Journal of Computer …, 2020 - academia.edu
Fingerprint recognition is one of the most widely use operation, due the big number of
applications requiring this operation, so seeking a good method of fingerprint features …

[PDF][PDF] Analysis of digital voice features extraction methods

JNI Shayeb, Z Alqadi, J Nader - International Journal of …, 2019 - researchgate.net
K means method and LBP based methods are commonly used for manipulating digital wave
files, and they can be used for wave file features extraction, these features can be used later …

[PDF][PDF] Performance analysis of artificial neural networks used for color image recognition and retrieving

J Al-Azzeh, Z Alqadi, M Abuzalata - international Journal of …, 2019 - academia.edu
Image recognition refers to methods and technologies that identify digital images such as
places, logos, people, objects, buildings, and several other variables in images. Users are …

[PDF][PDF] Efficient Methods used to Extract Color Image Features

MA Al Zudool, S Khawatreh, ZA Alqadi - 2017 - researchgate.net
This paper produces efficient methods, which can be used to extract color image features.
These features can be used as a color image key or signature to retrieve or to recognize …

[PDF][PDF] Adaptation of matlab K-means clustering function to create Color Image Features

ASJ Al-Azzeh, R Rasras, Z Alqadi… - … Journal of Research …, 2019 - researchgate.net
K_means method is commonly used for color image clustering, and it can be used also for
color image features creation, these features can be used later on as an image signature …

[PDF][PDF] Performance evaluation of ANN models for prediction

M Khrisat, Z Alqadi - Acadlore Trans. Mach. Learn, 2023 - library.acadlore.com
One of the biggest problems that humans are faced with today is pollution and climate
change. Pollution is not a new phenomenon and remains a leading cause of diseases and …

A modified symmetric local binary pattern for image features extraction

MO Dwairi - TELKOMNIKA (Telecommunication Computing …, 2020 - telkomnika.uad.ac.id
The process of identifying images and patterns is one of the most important processes of
digital image processing, which is used in many applications such as fingerprint recognition …

A neural network model for short-term PV-energy forecasting

DA Tyunkov, AS Gritsay, VS Rodionov… - Journal of Physics …, 2020 - iopscience.iop.org
Nowadays, energy consumption in the world is growing becomes relevant to solve the
problem of replacing traditional sources with alternative ones. The solution to this problem is …