Search Results - (( developing implementation gap algorithm ) OR ( java implication based algorithm ))
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Development of dynamic programming algorithm for maintenance scheduling problem
Published 2020“…Then, the data of the maintenance team from one of the utilities provider company in Malaysia was collected to be implemented in the development of a dynamic programming algorithm. …”
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A new priority rule cloud scheduling technique that utilizes gaps to increase the efficiency of jobs distribution
Published 2023“…To address this issue, the main objective of this research is to improve the existing PR cloud schedulers by developing a new dynamic scheduling algorithm by manipulating the gaps in the cloud job schedule. …”
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Design and development of high performance swa cell design for local DNA sequence alignment
Published 2017“…This study proposed three new DNA sequence alignment accelerator system cell design and architecture based on the Smith-Waterman Algorithm (SWA) named as the new Optimized SWA Linear Gap Penalty (OSL), Optimized SWA Affine Gap Penalty (OSA), and Optimized Recursive Variable Expansion SWA Linear Gap Penalty (ORSL). …”
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SG-PBFS : Shortest Gap-Priority Based Fair Scheduling technique for job scheduling in cloud environment
Published 2024“…To address this issue, the main objective of this research is to improve the existing Priority Rules (PR) cloud schedulers by developing a new dynamic scheduling algorithm by manipulating the gaps in the cloud job schedule. …”
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802.11 MAC layer sniffer using spoof detection algorithm / Azwan Abdul Satar
Published 2007“…The wireless sniffer implements sequence number-based spoofing detection algorithm in its processing. …”
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Vision-based robot indoor navigation
Published 2022“…NodeRed links both processing units together. An algorithm is developed in the computer to achieve image processing, user input, path planning, simulation, and writing of output files. …”
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Final Year Project / Dissertation / Thesis -
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Estimation of photovoltaic models using an enhanced Henry gas solubility optimization algorithm with first-order adaptive damping Berndt-Hall-Hall-Hausman method
Published 2024“…To address the existing theoretical gap, this study focused on developing an objective function that accurately estimates the initial root parameters of Photovoltaic (PV) models. …”
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Evaluate the performance of university timetabling problem with various artificial intelligence techniques
Published 2025“…The project focuses on developing an automated university course timetable scheduling tool using Genetic Algorithm (GA). …”
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Final Year Project / Dissertation / Thesis -
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Multi-objective optimisation of assembly line balancing type-e problem with resource constraints
Published 2016“…In the second phase of this research, an algorithm will be developed to optimise the problem. …”
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A Self-Adaptive Agent-Based Dynamic Processes Simulation Modelling Framework
Published 2023Conference Paper -
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High-throughput and energy-efficient Contiki MAC layer scheme in IEEE 802.15.4 for structural health monitoring
Published 2021“…This motivates us to develop and implement a lightweight time division multiple access (L-TDMA) scheme to overcome the existing constraints on the networking stack’s implementation of MAC layer on Contiki and satisfy SHM requirements. …”
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Haar cascade algorithm for microsleep detection
Published 2025“…This project addresses this critical gap by developing a cost-effective, real-time Internet of Things (IoT)-based anti-microsleep alarm system. …”
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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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New filtering framework for web personalization search / Anitawati Mohd Lokman and Aishah Ahmad
Published 2012“…This algorithm can be implemented in both website and search engine.…”
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Research Reports -
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Adaptive security architecture for protecting RESTful web services in enterprise computing environment
Published 2018“…A novel security component named â��intelligent security engineâ�� is introduced which learns the possible occurrences of security threats on SOA using artificial neural networks learning algorithms, then it predicts the potential attacks on SOA based on obtained results by the developed theoretical security model, and the written algorithms as part of security solution prevent the SOA attacks. …”
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Adaptive security architecture for protecting RESTful web services in enterprise computing environment
Published 2018“…A novel security component named â��intelligent security engineâ�� is introduced which learns the possible occurrences of security threats on SOA using artificial neural networks learning algorithms, then it predicts the potential attacks on SOA based on obtained results by the developed theoretical security model, and the written algorithms as part of security solution prevent the SOA attacks. …”
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Test case minimization applying firefly algorithm
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