Search Results - (( developing early intervention algorithm ) OR ( java code classification algorithm ))

Object-Oriented Programming semantics representation utilizing agents by Mohd Aris, Teh Noranis

“…A formal algorithm that can be applied to any two related Java-based source codes examples is invented to generate the semantics of these source codes. …”
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Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

“…Build up a user interface by using Visual Studio Code (VSC) to run the coding of Cascading Style Sheet (CSS), Hyper Text Markup Language (HTML) and JavaScript (JS) as a webpage and connect to Azure Machine Learning Model and this will allow the user from using the model from a webpage when they have active internet with any devices.…”
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Screen-related dependency in children: algorithm for referral from primary care in Malaysia by Abdul Hadi, Azwanis, Mohammad Aidid, Edre, Musa, Ramli

“…While there are general guidelines, i.e., limiting screen time by WHO, there are not yet any specific outlines or pathways provided for healthcare providers at the primary care level, especially in the Malaysian context. This algorithm was developed by a group of Malaysian experts for primary care, aiming to facilitate the early screening of screen-related dependency in pre-school children and its referral for psychological interventions. …”
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Predictive Modelling of Stroke Occurrence among Patients using Machine Learning by Sures, Narayasamy, Thilagamalar, Maniam

“…Stroke is a global public health concern with severe consequences. Early detection and accurate prediction of stroke occurrence are crucial for effective prevention and targeted interventions. …”
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A comparison of decision tree, logistic regression, artificial neural network and random forest algorithms to predict suicidal ideation among young adults in Malaysia by Chan, Sin Yin, Ch’ng, Chee Keong

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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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Fine-scale predictive modeling of Aedes mosquito abundance and dengue risk indicators using machine learning algorithms with microclimatic variables by Che Dom, Nazri, Mohd Hardy Abdullah, Nur Athen, Dapari, Rahmat, Salleh, Siti Aekbal

“…Effective prediction of Aedes mosquito abundance and dengue risk indicators such as the Aedes Index (AI) and Dengue Positive Trap Index (DPTI) is essential for early intervention and targeted vector control. However, current models often rely on coarse regional data and fail to account for microclimatic variations, limiting their predictive accuracy in dengue hotspots. …”
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Methods for identification of the opportunistic gut mycobiome from colorectal adenocarcinoma biopsy tissues by Aisyah, Yunus, Norfilza, Mohd Mokhtar, Raja Affendi, Raja Ali *, Siti Maryam, Ahmad Kendong, Hajar, Fauzan Ahmad

“…Colorectal cancer poses a significant threat to global health, necessitating the development of effective early detection techniques. …”
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Polycystic Ovary Syndrome (PCOS) prediction system using PSO-SVM / Lukman Hakim Shaufee, Hamidah Jantan and Ummu Fatihah Mohd Bahrin by Shaufee, Lukman Hakim

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Autism Face Detection System using Single Shot Detector and ResNet50 by Melinda Melinda, Muhammad Fauzan Alfariz, Yunidar Yunidar, Agung Hilm Ghimri, Maulisa Oktiana, Rizka Miftahujjannah, Nurlida Basir, Donata D. Acula

Cornsense: leaf disease detection application / Iffah Fatinah Mohamad Nasir by Mohamad Nasir, Iffah Fatinah

“…To address this issue, a corn leaf disease detection system capable of recognizing and classifying corn diseases is essential for early detection and intervention. The purpose of this project is to develop a mobile application for corn leaf disease detection leveraging the YOLOv8 (You Only Look Once version 8) object detection algorithm. …”
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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

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Power of alignment: exploring the effect of face alignment on ASD diagnosis using facial images by Alam, Mohammad Shafiul, Rashid, Muhammad Mahbubur, Faizabadi, Ahmed Rimaz, Mohd Zaki, Hasan Firdous

“…This research paves the way for a data-centric approach that can be applied to medical datasets in order to improve the efficacy of deep neural network algorithms used to develop smart medical devices for the benefit of mankind…”
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Transparent insights into alzheimer’s progression: a time-aware approach with explainable by Abraham Varghese, Ben George, Vinu Sherimon, Prashanth Gouda

“…The relentless nature of Alzheimer’s, marked by the gradual deterioration of cognitive function, underscores the urgency to develop effective strategies for early diagnosis and intervention. …”
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An early warning system for students at risk using supervised machine learning by Yam, Zheng Hong, Mohd Norshahriel, Abd Rani, Nabilah Filzah, Mohd Radzuan, Lim, Huay Yen, Sarasvathi, Nagalingam

“…For that, this study will perform a study of the current issues, factors, and solutions in education student’s data, determine the supervised machine learning algorithms, compare which model is the best predict the students’ performances, develop an early warning system for the educators to make an early decision in order to assist and consult the at-risk students, and finally conduct testing and evaluation of the system. …”
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Evaluation of neurophysiological properties among methadone treatment subjects: EEG and ERP study / Farid Esmaeili Motlagh by Farid Esmaeili , Motlagh

“…A comprehensive paradigm was designed to probe the event-related potential (ERP) components and a novel single-trial algorithm was developed to detect and extract the ERP components features. …”
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A guided hybrid k-means and genetic algorithm models for children handwriting legibility performance assessment / Norzehan Sakamat by Sakamat, Norzehan

“…Assessing and predicting children handwriting legibility performance is necessary for providing early interventions to those with handwriting difficulties. …”
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Methods for identification of the opportunistic gut mycobiome from colorectal adenocarcinoma biopsy tissues by Aisyah, Yunus, Norfilza, Mohd Mokhtar, Raja Affendi, Raja Ali, Siti Maryamg, Ahmad Kendon, Hajar Fauzan, Ahmad

“…Colorectal cancer poses a significant threat to global health, necessitating the development of effective early detection techniques. …”
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Development of a lower-extremities exoskeleton for postural-sway in sit-to-stand movement by Lee, Jun Han

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Evaluating and predicting overall equipment effectiveness for deep water disposal pump using ANNGA analysis approach / Soud Al-Toubi, Babakalli Alkali, David Harrison and Sudhir C.... by Al Toubi, Soud, Harrison, David, C.V., Sudhir

“…The model framework and analysis presented are used to develop a decision support tool for managers for early intervention to minimize system deterioration, reduce maintenance costs and increase productivity.…”
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