Search Results - (( intelligence based based algorithm ) OR ( intelligence small computer algorithm ))*
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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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Thesis -
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Coordination of PSS and PID controller for power system stability enhancement - overview
Published 2023“…Research showed the design of controllers based on conventional methods; soft computing and population based algorithms suffer from limitations. …”
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023“…This work is focused on the implementation of evolutionary based computer algorithms, genetic algorithms (GAs), on microcontrollers. …”
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Optimize and deploy machine learning algorithms on embedded devices for manufacturing applications
Published 2025“…This proposal discusses the techniques of optimizing and deploying machine learning algorithms on embedded devices for manufacturing applications; We investigate problems of printed circuit board (PCB) defects and artificial intelligence in embedded system. …”
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Adopting A Particle Swarm-Based Test Generator Strategy For Variable-Strength And T-Way Testing
Published 2011“…Recently, researchers have started to explore the use of Artificial Intelligence (AI)-based algorithms as t-way (where t indicates the interaction strength) and variable-strength testing strategies. …”
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Minimizing the number of stunting prevalence using the euclid algorithm clustering approach
Published 2023“…Superior and quality human resources are based on healthy human resources with indicators of adequate nutritional intake according to age development. …”
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Conference or Workshop Item -
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Computational intelligence method for optimal rotary design system
Published 2008“…The application of computational intelligence techniques to the field of industrial robot control is discussed. …”
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Thesis -
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A new machine learning-based hybrid intrusion detection system and intelligent routing algorithm for MPLS network
Published 2023“…This thesis proposes a hybrid ML-based intrusion detection system (ML-IDS) and ML-based intelligent routing algorithm (ML-RA) for MPLS network. …”
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Comparative performance of machine learning algorithms for cryptocurrency forecasting
Published 2018“…Machine Learning is part of Artificial Intelligence that has the ability to make future forecastings based on the previous experience. …”
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Underwater Image Recognition using Machine Learning
Published 2024“…Machine Learning is the branch of Artificial Intelligence in which a computer is fed with data and based on that data it tries to find out solution on its own. …”
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Quantitative analysis evaluation of image reconstruction algorithms between digital and analog PET-CT
Published 2023“…However, OSEM requires a large number of iterations to achieve high quantitative accuracy which results in increasing image noise. A novel algorithm, HYPER DPR (developed by United Imaging Healthcare) is an artificial intelligence-based reconstruction method that aims to provide increased sensitivity, higher spatial resolution and less noise. …”
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ABC-PSO for vertical handover in heterogeneous wireless networks
Published 2017“…This study proposes a hybrid intelligent handover decision algorithm primarily founded on two main heuristic algorithms: Artificial Bee Colony or ABC as well as Particle Swarm Optimization or PSO named ABC-PSO to select best wireless network during vertical handover process. …”
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The application of artificial intelligent techniques in oral cancer prognosis based on clinicopathologic and genomic markers / Chang Siow Wee
Published 2013“…Various AI techniques have been applied in medical research such as artificial neural networks, fuzzy logic, genetic algorithm and other hybrid methods. AI techniques have been proved to generate more accurate predictions than statistical methods and the predictions are based on the individual patient’s conditions as opposed to the statistical methods which made predictions based on a cohort of patients. …”
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An evolutionary approach for solving the job shop scheduling problem in a service industry
Published 2023“…In this paper, an evolutionary-based approach based on the discrete particle swarm optimization (DPSO) algorithm is developed for finding the optimum schedule of a registration problem in a university. …”
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A Reinforced Active Learning Algorithm for Semantic Segmentation in Complex Imaging
Published 2021“…Semantic segmentation annotation helps train computer vision based Artificial Intelligence models where each image pixel is assigned to a specific object class. …”
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A comparative study of MPPT and voltage regulator controllers for controlling output voltage in PV applications
Published 2019“…However, most of the algorithms such as artificial intelligence and expert systems need high-end computing systems, which are costly and thus not suitable for normal household utilization. …”
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Thesis