Search Results - (( intelligence based proposed algorithm ) OR ( intelligence based small 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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Swarm intelligence-based feature selection for amphetamine-type stimulants (ATS) drug 3D molecular structure classification
Published 2021“…Swarm intelligence-based feature selection techniques are implemented by this work to increase classifier performance in classifying Amphetamine-type Stimulants (ATS) drugs. …”
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Distributed learning based energy-efficient operations in small cell networks
Published 2023“…Additionally, an intelligent distributed cooperative power allocation learning algorithm is proposed to enhance energy efficiency in small cell networks while satisfying the scalability, power constraint, user association requirements, and QoS constraints. …”
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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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Final Year Project / Dissertation / Thesis -
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Intelligent technique for grading tropical fruit using magnetic resonance imaging
Published 2013“…Recent application of modern marketing techniques coupled with intelligent agricultural systems of production has transformed small scale farming into large scale, in most part of the world. …”
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A new machine learning-based hybrid intrusion detection system and intelligent routing algorithm for MPLS network
Published 2023“…As a result, legitimate users are barred from utilizing the service from the MPLS network. 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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Speech enhancement based on compressive sensing algorithm
Published 2013“…The performance of overall algorithms will be evaluated based on the speech quality by optimise using informal listening test and Perceptual Evaluation of Speech Quality (PESQ). …”
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Proceeding Paper -
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Speech enhancement based on compressive sensing algorithm
Published 2013“…The performance of overall algorithms will be evaluated based on the speech quality by optimise using informal listening test and Perceptual Evaluation of Speech Quality (PESQ). …”
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Oscillation Damping Emulation Using Superconducting Magnetic Energy Storage based on Sine Cosine Algorithm on Jawa Indonesian Power Grid
Published 2023“…To find the best oscillation damping emulation the parameter of SMES is optimized using sine cosine algorithm (SCA). Jawa Indonesia power grid is used as the test system to observe the efficacy of the proposed controller method. …”
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Hybrid Neural Networks and Genetic Algorithm for Fault Detection and Diagnosis of a Plant
Published 2008“…The recent work presents a new method of fault diagnosis based on artificial neural networks and genetic algorithms. …”
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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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Optimal DG Placement and Sizing for Voltage Stability Improvement Using Backtracking Search Algorithm
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Routing based multi-agent system for network reliability in the smart microgrid
Published 2020“…In this paper, multi-agent-based Bellman routing (MABR) is proposed where the Bellmanâ�� Ford algorithm serves the system operating conditions to command the actions of multiple agents installed over the overlay microgrid network. …”
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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“…AI techniques are good for handling noisy and incomplete data, and significant results can be attained despite small sample size. Various AI techniques have been applied in medical research such as artificial neural networks, fuzzy logic, genetic algorithm and other hybrid methods. …”
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Thesis -
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Development of an accurate AI-based dermatology assistant for skin disease recognition using YOLOv8 models
Published 2024“…The potential of the proposed AI-based assistant to significantly improve healthcare accessibility and diagnostic accuracy in underserved areas is demonstrated through rigorous testing, which validates its effectiveness. …”
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Proceeding Paper -
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Minimum rule-based parallel structure fuzzy controller
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Conference or Workshop Item
