Search Results - (( developing level prevention algorithm ) OR ( java implication based algorithm ))
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Chromametric Techniques for IoT, real-time and reliable Food Freshness Measurement
Published 2015“…The results show that by developing the chromatic algorithm, will able to measure and analyse the level freshness of food and straight appear on the mobile application that has been developed. …”
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Final Year Project -
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A comparative analysis of machine learning algorithms for diabetes prediction
Published 2024“…During the DD2019 experiment, the RF and SVM algorithms demonstrated the highest levels of accuracy, achieving 96.65% and 93.93%, respectively. …”
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Screen-related dependency in children: algorithm for referral from primary care in Malaysia
Published 2025“…The emergence of screen-related issues in children in recent years and the negative impacts on their development have further intensified the research and movements for their recognition and prevention. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Capability requirements on fraud prevention in the Nigeria public sector: perception of forensic accountants and auditors
Published 2017“…Furthermore, the significant positive relationship of skills, knowledge and ethics (forensic accountants and auditors) indicated that the variables are essential requirements in enhancing fraud prevention in the Nigerian public sector. Similarly, it was found that forensic accountants have higher levels of the skills, knowledge, and ethics on fraud prevention than auditors. …”
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Thesis -
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Machine Learning Applications in Offense Type and Incidence Prediction
Published 2024“…This knowledge can inform the development of more effective prevention and intervention strategies, ultimately contributing to the reduction of harmful behaviors and the enhancement of community well-being…”
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Determining malaria risk factors in Abuja, Nigeria using various statistical approaches
Published 2018“…The BBNs developed revealed that SES, household size and education level have the highest influence on reported cases as variations in response due to global sensitivity of network nodes. …”
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Variable Neighborhood Descent and Whale Optimization Algorithm for Examination Timetabling Problems at Universiti Malaysia Sarawak
Published 2025“…A constructive algorithm was developed to generate an initial feasible solution, which was subsequently refined using two primary approaches to evaluate their efficiency: Iterative Threshold Pipe Variable Neighborhood Descent (IT-PVND), and a modified Whale Optimization Algorithm (WOA). …”
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Clustering the addiction levels of drug users using fuzzy c-mean
Published 2025“…Hence, the rehabilitation associations in Riau province as end-user of this case are aided in identifying the addiction level of drug users in order to ensure the proper therapeutic prevention and curative action…”
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Stress mental health symptom assessment mobile application for young adults
Published 2023“…Before this stage, the KNN algorithm is employed to construct the model using Google Form response data as part of the application development process. …”
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Final Year Project / Dissertation / Thesis -
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Advance video analysis system and its applications
Published 2010“…This research has focused these factors at two levels, algorithm level and software level. Background elimination algorithm is proposed in this paper to enhance the performance of Smart Camera systems in changing background and varying lighting condition environment. …”
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Meta-heuristic approaches for reservoir optimisation operation and investigation of climate change impact at Klang gate dam
Published 2023“…Due to the extraordinarily rapid growth in population and development, the demand for energy and water has increased to critical demanding levels, globally. …”
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Development Of Machine Learning User Interface For Pump Diagnostics
Published 2022“…Machine Learning is one of the ways as a preventive method by applying the data collected from the clogging experiment in the vibration lab to build up a machine learning model for classification of flow blockage levels in the centrifugal pump. …”
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Monograph -
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Development of efficient t-way test data generation algorithm and execution strategies
Published 2012“…R2Way outperforms other existing strategies but cannot support higher interaction level (T > 2). And finally, (IV) MTTG (Multi-Tuple based T-way Test Data Generation) strategy is developed inspiring kids “Card Game” to overcome the limitations of interaction strength. …”
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Characterization of Pattern for Predicting Ultra Violet (UV) Effects in Environment Data Management System (EDMS)
Published 2013“…An effective measurement system; Environment Data management System (EDMS) had been designed to monitor the UV level so that preventive and control measures could be taken up. …”
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Analysis of Traffic Accident Patterns Using Association Rule Mining
Published 2024“…This study analyzed the levels of minor, moderate, and severe traffic accidents in the Palembang Police area from 2015 to 2020 using association rule mining and the apriori algorithm. …”
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