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Honey bee based trust management system for cloud computing
Published 2011“…In this paper, the authors propose the concept that honey bee algorithm which has been developed to solve complex optimization problems can be successfully used to address this issue.The authors have taken a closer look at the optimization problems that had been solved using the honey bee algorithm and the similarity between these problems and the cloud computing environment.Thus concluding that the honey bee algorithm could be successfully used to solve the trust management issue in cloud computing.…”
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Conference or Workshop Item -
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Conclusion
Published 2019“…The first six chapters of the book provide the fundamental details of the authentication technologies.The objective of Chapters 7 to 11 is to develop fast and secure algorithms for resource-constrained IoT and cloud computing, while the aim of Chapter 12 is to protect the data by laws and policies. …”
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Book Chapter -
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Cloud Computing in Smart Cities: Privacy, Ethical and Social Issues
Published 2024“…The rapid development of cloud computing technologies has revolutionized various sectors, and smart cities are no exception. …”
Conference Paper -
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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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Thesis -
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A Development Of An Internet Of Things Equipped Unmanned Ground Vehicle For Surveilance Purpose
Published 2019“…The data stored in the cloud can be retrieved and processed using ThingSpeak software as this software allow user to aggregate, visualize, and analyze live data streams in the cloud. …”
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Monograph -
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A new scheduling technique to improve data management in cloud computing
Published 2013“…Cloud Computing is an extremely successful service oriented computing paradigm and has revolutionized, modernized, and well-developed infrastructure of computing. …”
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Automatic nutrient mixer and pH Level for hydroponic application / Hariz Akmal Azizan
Published 2024“…Future work could involve integrating advanced machine learning algorithms to optimize nutrient dosing and implement self-harvesting mechanisms, thereby enhancing plant production and contributing to the development of more efficient and sustainable hydroponic systems for agricultural practices.…”
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Student Project -
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An Optimized Load Shedding Approach in Power Grids to Mitigate Cascading Failure
Published 2025“…The proposed modeling and control can be used to develop planning and operational strategies for a practical power system. …”
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Proceeding -
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A Framework for Green Energy Resources Identification and Integration Supported by Real-Time Monitoring, Control, and Automation Applications
Published 2025“…Additionally, an Industrial Internet of Things-based system utilizing servers, cloud platforms, and Supervisory Control and Data Acquisition systems was developed for real-time monitoring, control, and automation to address green energy intermittency. …”
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Leak Detection in Liquid Pipeline using Flow Monitoring Method
Published 2018“…This pipe acts as a “leak” by opening the valve to allow fluids to escape. Computational algorithms written in C-language on the Arduino development environment will infer a leak when the imbalance occurs and display to the user on LCD screen of the situation. …”
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Final Year Project -
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Design and implementation of solar-powered with IoT-Enabled portable irrigation system
Published 2022“…The proposed irrigation system updates the gathered information from sensors (moisture, temperature, and humidity) using an integrated algorithm to the Blynk IoT cloud in real-time. Farmers can access this information and control the water pump accordingly via a user-friendly interface using their smartphones. …”
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Segmenting the right ventricle cavity from 4D echocardiography images for stroke volume measurement
Published 2014“…The contours of the segmented region are extracted to generate the cloud of points (ℝ 3 ). Finally, generate three dimensions modelling for the segmented cavity by developing the normal feature approximation method for the cloud point, in order to accurately delineate the required object. …”
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