Comparison of two classification models for sex estimation based on bone length of hispanic population by Mohd. Faaizie, Darmawan, Fajar Agung, Nugroho, Ernawan, Ferda, Ahmad Firdaus, Zainal Abidin, Mohd Zamri, Osman

“…The purpose of this study is to develop the Discriminant Function Analysis (DFA) and Artificial Neural Network (ANN) model for sex estimation based on the Hispanic population using left-hand bone. …”
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Simulation of adaptive gain control via 2-D lookup table for isolated hybrid micro-grid system by Mahdi, Mazin Mustafa, Thajeel, Ekhlas Mhawi, Abu Zaharin, Ahmad

“…In this work, the performance of the proposed 2-DLT controller is examined and compared to the classical proportional integral (PI) controller and artificial neural network (ANN). The simulation system is implemented and tested using MATLAB/Simulink. © 2022, Institute of Advanced Engineering and Science.…”
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Flood damage assessment : A review of multivariate flood damage models by Sumiliana, Sulong, Noor Suraya, Romali

“…This paper presents a review of methods applied to generate multivariate flood damage models, which includes the Multiple Linear Regression (MLR), Bayesian Network (BN), Artificial Neural Network (ANN), and the Random Forest (RF) analysis. …”
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Classification of cervical cancer using random forest by Bahirah, Mohd Bashah, Ku Muhammad Naim, Ku Khalif, Nor Azuana, Ramli

“…To improve this study, other method such as Artificial Neural Network, Support Vector Machine or ensemble classifiers can be applied to the dataset to see if there is a better model to predict cervical cancer.…”
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Detection of proliferative diabetic retinopathy in fundus images using convolution neural network by Hasliza, Abu Hassan, Marzuqi, Yaakob, Sasni, Ismail, Juwairiyyah, Abd Rahman, Izyani, Mat Rusni, Azlee, Zabidi, Ihsan, Mohd Yassin, Nooritawati, Md Tahir, Suraiya, Mohamad Shafie

“…Convolution Neural Network (CNN) is one of the techniques under Artificial Neural Network (ANN) used to develop a Deep Learning Neural Network (DLNN) algorithm for detection of Proliferative Diabetic Retinopathy (PDR) on the fundus images. …”
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Investigation and analysis of crack detection using UAV and CNN: A case study of Hospital Raja Permaisuri Bainun by Goh, Wei Sheng, Wan Din, Wan Isni Sofiah, Waseem, Quadri, Zabidi, A.

“…Therefore, we conducted a real-world experiment of crack detection at Hospital Raja Permaisuri Bainun using DJI Mavic Air (Drone Hardware) and DJI GO 4(Drone Software) using CNN through MATLAB software with CNN-SVM method with the accuracy rate of 3.0 percent increased from 82.94% to 85.94%. in comparison with other ML algorithms like CNN Random Forest (RF), Support Vector Machine (SVM) and Artificial Neural Network (ANN).…”
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Weather impact on solar farm Performance : A comparative analysis of machine learning techniques by Gopi, Ajith, Sharma, Prabhakar, Sudhakar, Kumarasamy, Ngui, Wai Keng, Kirpichnikova, Irina, Cuce, Erdem

“…Three data-based artificial intelligence (AI) techniques, namely, adaptive neuro-fuzzy inference system (ANFIS), response surface methodology (RSM), and artificial neural network (ANN), were employed. The models were developed using three years of data from an operational 2MWp Solar PV Project at Kuzhalmannam, Kerala state, India. …”
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Classification of COVID-19 symptoms using multilayer perceptron by Nurulain Nusrah, Mohd Azam, Mohd Arfian, Ismail, Mohd Saberi, Mohamad, Ashraf Osman, Ibrahim, Jeba, Shermina

“…This study aimed to use the artificial neural network (ANN) approach, which was multilayer perceptron (MLP) to classify the COVID-19 data by using patient symptom data. …”
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Image approach to english digits recognition using deep learning by Fatin Nur Amalina, Zainol, Mohd Zamri, Ibrahim

“…Convolutional neural network (CNN) will be used to extract features from the image and an artificial neural network (ANN) will be used to classify those features into 10-digit English classes. …”
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Implementation of ANFIS-based UPQC for power quality and thermal management enhancement in the distribution system by Veerendra, Arigela Satya, Lakshmi, Kambampati, Sekhar, Chavali Punya, Kappagantula, Sivayazi, Norazlianie, Sazali, Kadirgama, Kumaran

“…This article describes an artificial neural network with harmonics elimination techniques for a modified UPQC connected with a Smart Grid. …”
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Prediction of grinding machinability when grind aluminium alloy using water based zinc oxide nanocoolant by Suganthi, Jayaraman

“…The objective of this thesis is to find the optimum parameter which was the depth of cut, investigate the surface roughness and wear produced during experimental and develop the prediction model with the usage of Artificial Neural Network (ANN). The work piece used was aluminium alloy and zinc oxide nanocoolant as the grinding coolant. …”
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Optimization of abrasive machining of ductile cast iron using water based SiO2 nanocoolant : a radial basis function by Azma Salwani, Ab Aziz

“…Mathematical modeling is developed using the response surface method. Artificial neural network (ANN) model is developed for predicting the results of the surface roughness and MRR. …”
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Prediction of grinding machanability when grinds Haynes 242 using water based coolant by Hazwani, Sidik

“…The aims of this report are to find the optimum parameter of the grinding process which is depth of cut (�m) where the type of surface roughness produces will be investigate and to develop prediction model of surface roughness by using an artificial neural network analysis. This report describes the experimental setups and procedures in finding the optimum value of the depth of cut and thus leading with the development of the prediction model. …”
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IDENTIFIKASI MUTU FISIK BIJI PALA (Myristica fragrans houtt) DENGAN TEKNOLOGI PENGOLAHAN CITRA DIGITAL DAN JARINGAN SARAF TIRUAN by , LATIFA DINAR, , Dr. Atris Suyantohadi, STP.,MT.

“…The method used is image processing, discriminant analysis and artificial neural network using Matlab programming language. …”

KAJIAN AKTIVITAS ANTIMALARIA SENYAWA TURUNAN BISARIL KUINOLON DENGAN METODE HUBUNGAN KUANTITATIF STRUKTUR-AKTIVITAS (HKSA) by , Mega Sari Juane Sofiana, , Dr. rer. nat. Ria Armunanto, M.Si.

“…A multiple linear regression and artificial neural network (ANN) methods were used for QSAR models building on antimalarial activity and inhibition of PfNDH2 (Plasmodium falciparum type II NADH: quinone oxidoreductase) activity studies, respectively. …”

KLASIFIKASI SUARA JANTUNG MENGGUNAKAN JARINGAN NEURAL DENGAN CIRI STATISTIS DAN SPEKTRAL by , Domy Kristomo, , Dr. Indah Soesanti, ST., MT.

“…To improve the prediction of accuracy and minimize the computation time, feature selection is proposed. Artificial Neural Network (ANN) is a crucial tool in identification and classification. …”

IDENTIFIKASI KELAINAN JANTUNG YANG BERESIKO TINGGI MENGGUNAKAN JARINGAN SYARAF TIRUAN by , IGNATIUS RADEN HARYOSUPROBO, , Prof. Adhi Susanto, M.Sc., Ph.D.

“…This research will be implemented identification of high-risk cardiac abnormalities using Artificial Neural Network (ANN). The type of heart disease that will be examined include atrial fibrillation, ventricular tachycardia, ventricular fibrillation, and Ischemic Heart Disease / Coronary heart disease. …”

The prediction of the oxygen content of the flue gas in a gasfired boiler system using neural networks and random forest by Effendy, Nazrul, Kurniawan, Eko David, Dwiantoro, Kenny, Arif, Agus, Muddin, Nidlom

“…We propose an artificial neural network (ANN) and random forest-based soft sensor to predict the oxygen content to overcome the problems. …”
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Pembinaan penderia pH gentian optik pintar berasaskan reagen terpegun dan rangkaian neural tiruan (ANN) / Faiz Bukhari Mohd Suah … [et al.] by Mohd Suah, Faiz Bukhari, Ahmad, Musa, Md Jani, Abdul Mutalib, Taib, Mohd Nasir

“…Penderia pH gentian optik berasaskan reagen terpegun dan pengoptimuman rangsangannya menggunakan rangkaian neural tiruan (artificial neural network, ANN) telah dibangunkan dalam kajian ini. …”
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Development of learning algorithm of passive joint for 3R under-actuated robot / Mohd Amiruddin Fikri Yaakob by Yaakob, Mohd Amiruddin Fikri

“…The approach embedded Artificial Neural Network (ANN) algorithm and SIMULINK block diagram. …”
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