Search Results - (( bubble detection a algorithm ) OR ( early identification system algorithm ))

Charge coupled device based on optical tomography system in detecting air bubbles in crystal clear water by Juliza Jamaludin, Rahim R.A., Rahim H.A., Fazalul Rahiman M.H., Mohd Muji S.Z., Rohani J.M.

Charge coupled device based on optical tomography system in detecting air bubbles in crystal clear water by Juliza Jamaludin, Rahim, RA, Rahim, HA, Rahiman, MHF, Muji, SZM, Rohani, JM

“…Experiments in detecting moving air bubbles are conducted. The images of captured data are reconstructed based on filtered image of Linear Back Projection with Hybrid algorithms. …”

A comprehensive comparative experiment of edge detection for OMR by Sahri, Zahriah, Othman, Zuraini, Kasmin, Fauziah, Basiron, Halizah

“…Edge detection is one of the steps. This study compares different established edge detection algorithms to detect edges of interest in OMR answer sheets such as bubbles or rectangles containing the bubbles. …”
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Online simulation to monitor multiphase flow using laser source as transmitter by Naizatul Shima, Mohd Fadzil, Ruzairi, Abdul Rahim, Juliza, Jamaludin, Mohd Hafiz, Fazalul Rahiman, Siti Zarina, Muji, Yasmin, Abdul Wahab

“…This research presents an application of optical tomography for the detection of gas bubbles flowing in a liquid medium. …”
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Investigation on the effect of varying bubble size and location in electrical resistance tomography using conducting boundary strategy by Suzanna, Ridzuan Aw, Farah Hanan, Azimi, Lia Safiyah, Syafie, Ruzairi, Abdul Rahim, Yasmin, Abdul Wahab, Nurain Izzati, Shuhaimi, Raja Siti Nur Adiimah, Raja Aris, Ida Laila, Ahmad

“…Bubbles with a greater size than 6 mm and especially the one that is located near the wall boundary are much easier to detect. …”
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Online Simulation To Monitor Multiphase Flow Using Laser Source As Transmitter by Naizatul Shima Mohd Fadzil, Ruzairi Abdul Rahim, Mohd Hafiz Fazalul Rahiman, Siti Zarina Muji, Yasmin Abdul Wahab, Juliza Jamaludin

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

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Shape-Based Matching: Application of Defect Detection by Harun, Mohamad Haniff, Sulaiman , Marizan, Hairol Nizam , Mohd Shah

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Application Of Defect Detection In Gluing Line Using Shape-Based Matching Approach by Harun, Mohamad Haniff, Mohd Annuar, Khalil Azha, Noordin, Aminurrashid, Che Hasan, Mohd Hanif, Mohd Ab Halim, Mohd Firdaus, Saealal, Muhammad Salihin, Ibrahim, Muhammad Fareq

“…This paper investigates various approaches for automated inspection of gluing process using shape-based matching application. A new supervised defect detection approach to detect gap defect, bumper defect and bubble defect in gluing application is proposed. …”
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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. …”
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Mitigating Slow Hypertext Transfer Protocol Distributed Denial of Service Attacks in Software Defined Networks by Akanji, Oluwatobi Shadrach, Abisoye, Opeyemi Aderiike, Iliyasu, Mohammed Awwal

“…Also, the algorithm for subsequent implementation of the selective adaptive bubble burst mitigation mechanism was presented. …”
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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

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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. …”
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3D Gluing Defect Inspection System Using Shape-Based Matching Application From Two Cameras by Sulaiman , Marizan, Mohd Shah, Hairol Nizam, Harun, Mohamad Haniff, Lim Wee, Teck, Mohd Kazim, Mohd Nor Fakhzan

“…A new supervised defect detection approach to detect a class of defects in gluing application is proposed. …”
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Mental health detection based on facial recognition using CNN algorithm / Muhammad Azim Azfar Rozihan by Rozihan, Muhammad Azim Azfar

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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. …”
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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

“…Early detection of power transformer fault is important because it can reduce the maintenance cost of the transformer and it can ensure continuous electricity supply in power systems. …”
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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

“…It can be integrated with computer vision for an accurate identification of abnormality in iris image. This paper focuses on developing an iris imaging system that extracts the presence of orange pigmentation which is the sign of diabetes. …”
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