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An Integer Linear Programming model and Adaptive Genetic Algorithm approach to minimize energy consumption of Cloud computing data centers
Published 2018“…This paper focuses on the development of a dynamic task scheduling algorithm by proposing an Integer Linear Programming (ILP) model that minimizes the energy consumption in a Cloud data center. …”
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Hybrid cryptography algorithm to improve security cloud storage
Published 2017“…To improve secure of data in cloud storage by hybrid three algorithms (AES, ECC and RSA).All the existing algorithms has some sort of problems and issues, this had made us decide to develop a safe, correct ad efficient algorithm for having secured data in cloud storage. …”
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WURFL detection engine using cosine string similarity algortlhm / Illiasaak Ahmad ... [et al.]
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Research Reports -
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Computer remote monitoring via mobile phones using socket programming / Samih Omer Fadlelmola Elkhider
Published 2011“…Moreover, this prototype could be used as the basis for developing more advanced remote monitoring in term of performance to access and interact with mobile cloud, which is the future of mobile technology.…”
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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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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Critical insight for MAPReduce optimization in Hadoop
Published 2014“…Apache Hadoop is one the most used cloud frame work for cloud infrastructure. The predominant philosophy behind Hadoop optimization is the optimization of MapReduce, which is a dominant programming platform effective in bringing a=bout many functional enhancements as per scheduling algorithms developed and implemented. …”
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Neural network methods to solve the Lane–Emden type equations arising in thermodynamic studies of the spherical gas cloud model
Published 2017“…Strength of efficient local optimization procedures based on active-set (AS), interior-point (IP) and sequential quadratic programming (SQP) algorithms is used to optimize the energy functions. …”
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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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Campus study buddy : collaborative learning and resource sharing app
Published 2024“…The application is developed using Flutter and uses a tag recommendation algorithm to push content that users may be interested in, thereby intelligently providing users with an online learning environment that suits them and improving their learning efficiency. …”
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Final Year Project / Dissertation / Thesis -
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Improved voting technique for ensemble of MLP system applied on various classification data / Saodah Omar, Iza Sazanita Isa and Junita Mohd Saleh.
Published 2010“…The work employs MATLAB Neural Network Toolbox and Borland C++ programming language as the tools to develop the proposed system. …”
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Research Reports -
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Solar power inverter
Published 2013“…For systems with battery energy storage, the controller can control the charging as well as switch over to battery power once the sun sets or cloud cover reduces the PV output power. The controller executes the very precise algorithms required to invert the DC voltage generated by the solar module into AC This controller is programmed to perform the control loops necessary for all the power management functions necessary including DC/DC and DC/AC.…”
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Undergraduates Project Papers -
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Automatic extraction of digital terrain model and Building Footprint from airborne LiDAR data using rule-based learning techniques
Published 2021“…Finally, the Buildings Footprint developed based on the algorithm was compared with the Buildings Footprint developed manually to assess the accuracy of the results. …”
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Development of unmanned surface vehicle with real-time water quality monitoring system
Published 2023“…The ISE sensor such as temperature, pH, electrical conductivity (EC), oxidation reduction potential (ORP), dissolved oxygen (DO) and turbidity with the GPS device is used on the. The USV also developed with auto navigation through all the targeted area by using GPS coordinate and path planning algorithm programmed in the USV controller. …”
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Conference or Workshop Item -
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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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Performance Analysis of Real Time Image Processing for Lightning Event Using Cython and Python Programming Languages
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Membership function model for defining optimality of vapor pressure deficit in closed-field cultivation of tomato
Published 2016“…The objective of this work was to develop a membership function model for defining optimal VPD of greenhouse air for tomato cultivation (Lycopersicon esculentum) at different growth stages (GS) and light conditions (sun, cloud, night). …”
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