Search Results - (( intelligence based testing algorithm ) OR ( intelligence quality learning algorithm ))
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The proposed algorithm is able to improve the weaknesses in PQF model in updating and learning the important attributes for software quality assessment. …”
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Spot welding quality check using artificial intelligence / Jagadisa Rajarathnam
Published 2018“…These methods include, isolating a body to perform destructive test or by using ultrasonic test. This thesis studies on determining the spot weld quality based on a captured image of the spot point. …”
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Automated cone cut error detection of bitewing images using convolutional neural network
Published 2023“…Introduction: Cone cut error is one of the technical errors that can hinder the important information from a bitewing radiograph. Meanwhile, deep learning is a specialized artificial intelligence method where an algorithm can be trained to automatically detect, classify and give output based on the trained dataset. …”
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Grammar-based prosody modification for explicit control Malay language storytelling speech synthesis / Muhammad Izzad Ramli
Published 2018“…The evaluation of the synthesized storytelling speech was conducted using objective test (Perceptual Evaluation of Speech Quality (PESQ) test, and aspects or components test) and perceptive test (naturalness, intelligibility, similarity test, and recognition test). …”
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An artificial immune system model as talent performance predictor / Siti ‘Aisyah Sa’dan, Hamidah Jantan and Mohd Hanapi Abdul Latif
Published 2016“…Immune based algorithm is part of bio-inspired algorithms elicits theories which can act as an inspiration for computer-based solutions. …”
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Real-Time Object Detection System for Hospital Assets Using YOLOv8
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Intelligent image noise types recognition and denoising system using deep learning / Khaw Hui Ying
Published 2019“…An ensemble of these algorithms is an intelligent and adaptive solution, producing a clean output, while preserving significant pixel information. …”
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WiMAX Traffic Forecasting Based On Artificial Intelligence Techniques
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Optimal power flow based on fuzzy linear programming and modified Jaya algorithms
Published 2017“…In the proposed novel QOJaya algorithm, an intelligence strategy, namely, quasi-oppositional based learning (QOBL) is incorporated into the basic Jaya algorithm to enhance its convergence speed and solution optimality. …”
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Investigating the reliability of machine learning algorithms as an advanced tool for ozone concentration prediction
Published 2023“…Thus, it is highly required to examine the performance of various artificial intelligence techniques including standalone and hybrid algorithms for accurate ozone concentration prediction at the tropospheric layer. …”
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An Artificial Intelligence-Based Knowledge Management System for Outcome-Based Education Implementing in Higher Education Institutions
Published 2025“…Recommendation system on learning analysis was implemented in a hybrid algorithm combines Rule-based and Content-based filtering algorithms. …”
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A review of classification techniques for electromyography signals
Published 2023“…All of the ML classifiers have their own algorithm, special specification, pros and cons based on the available input. …”
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Hybrid Soft Computing Approach for Determining Water Quality Indicator: Euphrates River
Published 2017“…In this research, the implementation of hybrid evolutionary model based on integrated support vector regression (SVR) with firefly algorithm (FFA) was investigated for water quality indicator prediction. …”
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Neural network-based prediction models for physical properties of oil palm medium density fiberboard / Faridah Sh. Ismail
Published 2015“…Through rank selection technique, the chromosomes are sorted based on the fitness function to learn about the population of current generation. …”
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Design of intelligent control system and its application on fabricated conveyor belt grain dryer
Published 2011“…Moreover, three evolutionary algorithms (EAs), in particular a real-coded genetic algorithm (GA), a particle swarm optimization (PSO), and a global-best harmony search (GHS), were separately used to train the proposed controller and to determine its scaling factors. …”
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