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Two objectives big data task scheduling using swarm intelligence in cloud computing
Published 2016“…In this direction, this paper first gives review of some previous scheduling algorithms used in cloud. Then, it proposes a type of swarm intelligence called Particle Swarm Optimization (PSO) algorithm to diminish cost though meeting deadlines. …”
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Computational intelligence of probabilistic simulation in demand side management for avoided utility cost improvisation in a generation operating system planning / Daw Saleh Sasi M...
Published 2016“…The AUC is originated from the summation of avoided energy cost, avoided expected cycle cost and avoided capacity cost of the generating system……”
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Computational intelligence of probabilistic simulation in demand side management for avoided utility cost improvisation in a generation operating system planning / Daw Saleh Sasi M...
Published 2017“…The AUC is originated from the summation of avoided energy cost, avoided expected cycle cost and avoided capacity cost of the generating system……”
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Book Section -
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Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection
Published 2020“…The main problems which are faced by these fields include the high computational cost, memory cost, and low accuracy performance. …”
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Quantum Inspired Computational Intelligence Techniques for Combined Economic Emission Dispatch Problem
Published 2017“…The main goal of this research is to attain a balanced trade-off between secured and profitable energy choices, and maintaining healthy and sound environment. Quantum computing phenomenon is integrated with swarm intelligence-based PSO and bat algorithm (BA) to make these algorithms computationally more powerful and robust.…”
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Optimization and discretization of dragonfly algorithm for solving continuous and discrete optimization problems
Published 2024“…Swarm intelligence algorithms are metaheuristic algorithms inspired by the simple interactions of biological organisms in a population. …”
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Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman
Published 2019“…Fixed search pattern technique is widely used in BMAs to provide less computations cost and improve prediction accuracy. Recently, intelligent searching methods were proposed to enhance the computational optimization issues in motion estimation but still lack in obtaining the best solution of block matching. …”
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Energy management strategies, control systems, and artificial intelligence-based algorithms development for hydrogen fuel cell-powered vehicles: A review
Published 2025“…The multi-objective-based algorithm, reinforcement learning algorithm, and different hybridizations are enhancing HFCEVs cost-competing edge. ? …”
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Computational intelligence: It’s application in digital watermarking
Published 2013“…It was found that ANN based watermarking outperformed the No ANN algorithm in terms of imperceptibility. It is anticipated that this paper will serve as a launch pad for researchers interested in intelligent watermarking.…”
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A preliminary lightweight random forest approach-based image classification for plant disease detection
Published 2022“…This lightweight framework is for cost-effective distribution with high performance without requiring extensive computational resources or complex algorithms. …”
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A Survey of Stochastic processes in Wireless Sensor Network: a Power Management Prospective
Published 2013“…A wireless sensor network consist of large number of low cost, low computational and limited power sensors. …”
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Conference or Workshop Item -
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Hybrid evolutionary-dolphin echolocation programming for sizing optimization of stand-alone photovoltaic systems / Zulkifli Othman
Published 2021“…Initially, Iterative-based Sizing Algorithm (ISA) which uses the non-computational intelligence-based approach is presented to serve as the benchmark for computational intelligence (CI)-based sizing algorithm. …”
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Advances in materials informatics: A review
Published 2024“…We evaluate the growth of MI through its subfields and track the main path of its advancement for artificial intelligence-driven materials discovery. The advancements in computational intelligence via machine learning and deep learning algorithms in different fields of materials science are discussed. …”
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Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process
Published 2004“…The applications of computational intelligence in manufacturing, in particular, play a leading role in the technological development of intelligent manufacturing systems. …”
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Rabies Outbreak Prediction Using Deep Learning with Long Short-Term Memory
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Book Chapter -
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Comparison between ant colony and genetic algorithm using traveling salesman problem
Published 2013“…The results of comparison show that ant colony is high efficient than genetic algorithm and it requires less computational cost and generally only a few lines of code.…”
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Ump Intelligent Chatbot Using Dialogflow
Published 2022“…Natural language keyword phrases put artificial intelligence in chatbots that allow computers to understand how humans talk in normal language. …”
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Undergraduates Project Papers -
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A study on the parameter selection of bat algorithm in in optimizing parameters in camera auto calibration problem
Published 2022“…Finding shows that Bat Algorithm produces output that as expected as theory of Computational Intelligence suggested.…”
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