Search Results - (( based evaluation _ algorithm ) OR ( early identification system algorithm ))

Mental health detection based on facial recognition using CNN algorithm / Muhammad Azim Azfar Rozihan by Rozihan, Muhammad Azim Azfar

Get full text
Get full text

Identification of transformer fault based on dissolved gas analysis using hybrid support vector machine-modified evolutionary particle swarm optimisation by Illias, Hazlee Azil, Wee, Zhao Liang

“…It was found that the proposed hybrid SVM-Modified EPSO (MEPSO)-Time Varying Acceleration Coefficient (TVAC) technique results in the highest correct identification percentage of faults in a power transformer compared to other PSO algorithms. …”
Get full text
Get full text

Correlation analysis and predictive performance based on KNN and decision tree with augmented reality for nuclear primary cooling process / Ahmad Azhari Mohamad Nor by Mohamad Nor, Ahmad Azhari

“…These analyses provide nuanced insights into system operational dynamics and efficiency. Subsequently, predictive models employing k-nearest neighbour and decision tree algorithms are constructed and evaluated based on accuracy, precision, and recall metrics. …”
Get full text
Get full text

Keylogger detection analysis using machine learning algorithm / Muhammad Faiz Hazim Abdul Rahman by Abdul Rahman, Muhammad Faiz Hazim

“…Plus, to analyse the efficiency of a detection model on keylogger dataset by evaluating a selection of attributes. Besides, to test the accuracy of detection models on keylogger dataset comparing two machine learning algorithms. …”
Get full text
Get full text

Polycystic Ovary Syndrome (PCOS) prediction system using PSO-SVM / Lukman Hakim Shaufee, Hamidah Jantan and Ummu Fatihah Mohd Bahrin by Shaufee, Lukman Hakim

Get full text
Get full text

Classification of Learner Retention using Machine Learning Approaches by Nur Amalina Diyana Suhaimi , Norshaliza Kamaruddin, Thirumeni T Subramaniam, Nilam Nur Amir Sjarif, Maslin Masrom, Nurazean Maarop

“…The performance of these algorithms was evaluated based on accuracy, precision, recall, and f-measure. …”
Get full text
Get full text

Autonomous self-exam monitoring for early diabetes detection by Rohana, Abdul Karim, Nur Alia Fatiha, Azhar, Nurul Wahidah, Arshad, Nor Farizan, Zakaria, M. Zabri, Abu Bakar

“…Based on iridology theory, the image is evaluated by detecting the presence of broken tissues and change in colour pattern. …”
Get full text
Get full text
Get full text

HelpMe: early detection of university students' mental health issues using a chatbot-integrated dashboard / Nadia Abdul Wahab ... [et al.] by Nadia Abdul Wahab, Nadia Abdul Wahab, Ahmad Asyraf Zainudin, Ahmad Asyraf Zainudin, Norfiza Ibrahim, Norfiza Ibrahim, Aznoora Osman, Aznoora Osman, Abdul Hapes Mohammed, Abdul Hapes Mohammed

Get full text
Get full text
Get full text

Identifying suicidal ideation through twitter sentiment analysis using Naïve Bayes / Annasuha Atie Atirah Alias by Alias, Annasuha Atie Atirah

“…Existing machine learning models for sentiment analysis and suicide prediction lack a comprehensive user-friendliness system for the end users. Thus, this project aims to design, develop, and evaluate web-based application utilizing sentiment analysis, specifically employing the Naïve Bayes algorithm, to identify and analyze suicidal ideation within Twitter posts. …”
Get full text
Get full text

Review of Medium-Voltage Switchgear Fault Detection in a Condition-Based Monitoring System by Using Deep Learning by Alsumaidaee Y.A.M., Yaw C.T., Koh S.P., Tiong S.K., Chen C.P., Ali K.

A PLC-based Hybrid Fuzzy PID Controller for PWM-driven Variable Speed Drive by ARROFIQ, MUHAMMAD

“…A simulation model in MA TLAB/Simulink is developed using system identification technique to perform verification of the PLCbased intelligent controller of the PWM-driven VVVF algorithm. …”
Get full text
Get full text

A conceptual framework for a lightweight AI system for skin disease risk prediction using epidemiological data in rural Bangladesh by Islam, Mohammad Raihanul, Abdul Kadir, Andi Fitriah, Ismail, Syazwan Aizat

“…Preliminary experiments conducted on an existing dataset demonstrate that conventional machine learning algorithms, particularly K-Nearest Neighbors (KNN) and Random Forest, achieve strong predictive performance, with accuracy reaching up to 88% in train–test evaluations and 80% in 10-fold cross-validation. …”
Get full text
Get full text
Get full text

An AI-based mental health and loneliness support plushie by Norazhar, Fatin Nabila, Jamil, Muhammad Faris Fakhri, Baharum, Nuur Aleeysa, Roslan, Rohaiza

“…Current developments highlight AI's revolutionary potential, with applications including early identification of mental health issues, individualized treatment programs, and AI-powered virtual therapists. …”
Get full text
Get full text

AI-Enabled Deep Learning Model for COVID-19 Identification Leveraging Internet of Things by Mohd Arfian, Ismail, Siti Nur Fathin Najwa, Mustaffa, Abed, Munther H.

“…To effectively combat the epidemic, the utilization of deep TL-enabled automated COVID-19 identification on CXRs is paramount. This study recommended a real-time IoT system employing ensemble deep TL to enable early identification of infected COVID-19 individuals. …”
Get full text
Get full text
Get full text

Development of MyCGPA for early predicting students’ academic performance by Abdul Mutalib, Muhammad Yazid, Zainol, Zuraini, Nohuddin, Puteri Nor Ellyza, Abdul Rauf, Ummul Fahri

“…One of the primary concerns in higher education is the early identification of underperforming students. …”
Get full text
Get full text
Get full text
Get full text

Investigation of An Early Prediction System of Cardiac Arrest Using Machine Learning Techniques by Muhammad Afnan, Mohammad Nasir

Get full text
Get full text

Development of IoT-based heatstroke early symptoms monitoring system for students in Malaysia by A Rahim, Nabilah, Othman, Nurmiza

“…As climate change intensifies, the risk of heat-related illnesses becomes a growing concern, especially for vulnerable populations like young adults. This system aims to proactively address this issue by providing real-time monitoring of early symptoms associated with heatstroke. …”
Get full text
Get full text
Get full text

Development of fault detection, diagnosis and control system identification using multivariate statistical process control (MSPC) by Ibrahim, Kamarul 'Asri, Ahmad, Arshad, Ali, Mohamad Wijayanuddin, Mak, Weng Yee

Get full text
Get full text

Prediction of UiTM student academic performance using Naive Bayes algorithm / Muhammad Irfan Zahin Jailani by Jailani, Muhammad Irfan Zahin

“…With the help of customized interventions and early identification of at-risk pupils, the proposed approach seeks to increase graduation rates and overall achievement.The main objectives of this study include studying the Naive Bayes algorithm in student academic performance prediction, designing and developing a student academic performance prediction model utilizing Naive Bayes, and evaluating the accuracy of the prediction prototype using the developed model. …”
Get full text
Get full text

Multi sensor network system for early detection and prediction of forest fires in southeast asia by Kadir, Evizal Abdul, Alomainy, Akram H., Hanita, Daud, Maharani, Warih, Noryanti, Muhammad, Syafitri, Nesi

“…Furthermore, the results of extensive field tests and evaluations, demonstrate the system's accuracy and efficiency in early fire detection and prediction. …”
Get full text
Get full text
Get full text
Get full text