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Development of Algorithm for QoS Model in Cloud Computing
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Completion time driven hyper-heuristic approach for optimisation of scientific workflow scheduling in cloud environment / Ehab Nabiel Mohammad
Published 2018“…The second stage (i.e. approach development stage) is the development of the proposed CTDHH approach, which includes two main parts, the cost optimisation model of SWFS and the dynamic hyper-heuristic algorithm. …”
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Optimizing Cloud Storage Costs: Introducing the Pre-Evaluation-Based Cost Optimization (PECSCO) Mechanism
Published 2025Conference paper -
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Minimum completion time for power-aware scheduling in cloud computing
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E-history Malaysian secondary school textbook using TF-IDF algorithm and text visualization / Nur Hafizah Mohd Ridzuan
Published 2020“…The objective of the project is to design and develop an E-History Malaysian secondary school textbook system using Term Frequency-Inverse Document Frequency (TF-IDF) algorithm with text visualization and also to test the functionality and usability of the system through a web-based system. …”
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DEVELOPMENT OF POINT CLOUD DESCRIPTORS FOR ROBUST 3D RECOGNITION
Published 2015Get full text
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Secure lightweight client for cloud-based E-Health Model
Published 2023“…The results of this study will remarkably facilitate the development of a practical secure cloud-based eHealth system.…”
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Ontology matching: in search of challenges ahead
Published 2015“…Matching elements of two data instances plays an important role in e-business, multilingual data instances, biomedical and open data cloud. …”
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An estimation algorithm for improved maritime obstacle detection
Published 2024“…This paper presents an advanced estimation algorithm for improving obstacle detection in maritime navigation by integrating data from Velodyne LiDAR HDL-32E and a ZED2I depth camera on the Riptide Unmanned Surface Vehicle. …”
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Proceeding Paper -
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IoT-BSEM internet of things-based smart energy meter for domestic house
Published 2023“…The microcontroller receives the measured data from the sensor and calculated using developed algorithm, then data sent to the IoT cloud. …”
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