Search Results - ((active learning) OR (machine learning)) techniques

Suspicious activities detection for anti-money laundering using machine learning techniques by Lim, Aun Chir

“…This enables machine learning model to detect those suspicious activities more accurately than traditional approaches. …”
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Credit Card Fraud Detection Using New Preprocessing And Hybrid Machine Learning Techniques by Gasim, Esraa Faisal Malik

“…The second contribution to this research is to develop multiple hybrid machine learning models in order to enhance the detection of fraudulent activities in the credit card fraud detection domain.…”
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Design and Development of Machine Learning Technique for Software Project Risk Assessment - A Review by Mahdi M.N., M.h M.Z., Yusof A., Cheng L.K., Mohd Azmi M.S., Ahmad A.R.

“…Machine learning; Project management; Software design; Design and Development; Development performance; Literature reviews; Machine learning approaches; Machine learning techniques; Size metrics; Software project; Software project risks; Risk assessment…”

A Review of Unsupervised Machine Learning Frameworks for Anomaly Detection in Industrial Applications by Usmani, U.A., Happonen, A., Watada, J.

“…Unsupervised learning, also known as unsupervised machine learning, analyzes and clusters unlabeled data utlizing machine learning techniques. …”
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EEG-based emotion recognition using machine learning algorithms by Lam, Yee Wei

“…Thus, this project proposed an optimised machine learning algorithms to classify emotion by analysing brain activity using Electroencephalogram (EEG) signals. …”
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Damage identification for multi-rotor drone using convolutional neural network technique by Ma, Yumeng

“…Then, Convolutional Neural Networks (CNN), as the state-of-the-art machine learning technique also called deep learning was proposed and achieved outstanding success with 100% accuracy for damage identification. …”
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Designing story card in extreme programming using machine learning technique by Yasin, Azman, Gaber, Shamsan, Omar, Mazni, Mohd, Haslina, Baharom, Fauziah, Md Din, Marina

“…Story card is one of the software development artifacts that can be used to gather requirements in extreme programming (XP).It can assists developers to translate and develop the system based on activities and rules stated in the story card.However, conventional XP story card framework or template is not well defined and only supports requirements in two or three sentences.It also does not states any information rather than system functionality.This may lead to conflicts, missing, and ambiguous requirements.In order to overcome this problem, Machine Learning is one of the techniques that can be used to extract the content from the list of requirements and produce the story cards based on the priority and rules of requirements.Thus, this study aims to to propose a new technique of designing story cards based on user requirements.The finding from the study is a conceptual model of designing story cards using machine learning technique.Future research will investigate how the technique adapt with the iterative changes of the requirements.…”
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Predictive analytics for learning performance in first-year university programming course by Kartiwi, Mira, Gunawan, Teddy Surya, Md Yusoff, Nelidya

“…We employ machine learning techniques, decision trees, gradient boosting machines (GBM), and logistic regression to build robust predictive models. …”
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Explainable Machine Learning for Real-Time Payment Fraud Detection: Building Trustworthy Models to Protect Financial Transactions by Al-hchaimi A.A.J., Alomari M.F., Muhsen Y.R., Sulaiman N.B., Ali S.H.

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Human activity recognition with smartphone and wearable sensors using deep learning techniques: a review by Ramanujam, E., Perumal, Thinagaran, Padmavathi, S.

“…Recently, various state-of-the-art techniques have proposed feature extraction and selection techniques classified using traditional Machine learning classifiers. …”
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Designing machine learning frameworks for intelligence and gamification research / Nordin Abu Bakar by Abu Bakar, Nordin

“…Machine learning frameworks have been utilised to facilitate intelligence as operational mechanism in intelligence embedded system such as learning system, prediction protocol and robot navigation system. …”
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Software Project Management Using Machine Learning Technique - A Review by Hazil M.Z.M., Mahdi M.N., Mohd Azmi M.S., Cheng L.K., Yusof A., Ahmad A.R.

“…Machine learning; Risk assessment; Risk perception; Software design; Development performance; Machine learning techniques; Management analysis; Management planning; Project performance; Project risk assessment; Software project; Software project management; Project management…”

Software project management using machine learning technique-a review by Mahdi M.N., Zabil M.H.M., Ahmad A.R., Ismail R., Yusoff Y., Cheng L.K., Mohd Azmi M.S.B., Natiq H., Naidu H.H.

“…This paper presents a wide-ranging comprehensive review of papers on the application of Machine Learning in software project management. Besides, this paper presents an extensive literature analysis of (1) machine learning, (2) software project management, and (3) techniques from three main libraries, Web Science, Science Directs, and IEEE Explore. …”

Improving Photometric Redshifts By Varying Activation Functions In Artificial Neural Networks by Pathi, Imdad Binti Mahmud

“…In fact, the application of machine learning techniques has simplified the task of analysing data for astronomers. …”
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Crime Prediction Using Machine Learning by Ling H.G., Jian T.W., Mohanan V., Yeo S.F., Jothi N.

“…Additionally, such initiatives raise public awareness, encouraging vigilance during periods of heightened criminal activity. In this project, machine learning techniques are leveraged to forecast the crime rate in the city of Chicago. …”

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

“…To identify approaching heart illness using Machine learning techniques, a preliminary design of a cloud-based heart disease prediction system was developed. …”
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Appliance level stand-by burst forecast modelling using machine learning techniques by Mustafa, Abid

“…This work proposes a technique to model power consumption data and presents a comparative study of five different machine learning algorithms to study their suitability to forecast an appliance's state and standby burst. …”
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Introduction by Abdullah, Prof. Madya Dr. Mohamad Razali

“…This chapter briefly describes a general overview on the sport of archery, the performance parameters influencing the sport, the employment of machine learning in sporting activities, the clustering technique as well as a brief introduction of the machine learning techniques utilised in the present study. …”
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Short-Term forecasting of floating photovoltaic power generation using machine learning models by Mohd Herwan, Sulaiman, Mohd Shawal, Jadin, Zuriani, Mustaffa, Mohd Nurulakla, Mohd Azlan, Hamdan, Daniyal

“…These findings underscore the efficacy of machine learning techniques in forecasting FPV power generation, which has significant implications for enhancing the operational efficiency and grid integration of floating solar installations.…”
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A Review of Machine Learning Botnet Detection Techniques based on Network Traffic Log by Ibrahim Z.-A., Razali R.A., Ismail S.A., Azhar I.H.K., Rahim F.A., Azilan A.M.A.