Search Results - (( intelligence _ missing algorithm ) OR ( intelligence system thinking algorithm ))
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Detection Of Misplaced And Missing Regions In Image Using Neural Network
Published 2017“…Based on research, most of the algorithms are not intelligent enough and only able to detect the missing component. …”
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Auto-feed hyperparameter support vector regression prediction algorithm in handling missing values in oil and gas dataset
Published 2020“…The novel optimization-based artificial intelligence algorithm proposed in this paper implies an improved way to overcome a real engineering challenge i.e. handling missing values for better RUL prediction, hence bringing great opportunities for the domain area. …”
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Article -
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Intelligent imputation method for mix data-type missing values to improve data quality
Published 2024“…The significance of this research is to develop an intelligent method that can deal with both missing values and accuracy in large datasets while minimizing time consumed. …”
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Imputation Analysis of Time-Series Data Using a Random Forest Algorithm
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Conference or Workshop Item -
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A Novel Path Prediction Strategy for Tracking Intelligent Travelers
Published 2009“…The FCM nodes are a novel selection of kinematical factors. Genetic algorithm (GA) is then used to train the FCM to be able to replicate the decisional behaviors of the intelligent traveler. …”
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Deep-learning-based detection of missing road lane markings using YOLOv5 algorithm
Published 2021“…With the recent technological advancement, especially in machine vision and artificial intelligence, automated or semi-automated missing road lane marking detection systems can potentially be developed. …”
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Proceeding Paper -
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Building norms-adaptable agents from Potential Norms Detection Technique (PNDT)
Published 2023Short Survey -
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Tangible interaction learning model to enhance learning activity processes among children with dyslexia
Published 2024“…The significance of this research is to develop an intelligent method that can deal with both missing values and accuracy in large datasets while minimizing time consumed. …”
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Thesis -
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A Rough Set-Based Approach for Identifying and Replacing Missing Concepts in Incomplete Sentences in Computer Domain Texts
Published 2026thesis::master thesis -
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Hybrid Sine Cosine and Fitness Dependent Optimizer for global optimization
Published 2021“…The fitness-dependent optimizer (FDO), a newly proposed swarm intelligent algorithm, is focused on the reproductive mechanism of bee swarming and collective decision-making. …”
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Music Recommender System Using Machine Learning Content-Based Filtering Technique
Published 2022“…Machine Learning is a form of Artificial Intelligence that will make systems to think like human being. …”
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Undergraduates Project Papers -
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Classification of JPEG files by using extreme learning machine
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An empirical study of TensorFlow lite performances in Raspberry Pi / Mohamad Harith Mohd Zahid
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Student Project -
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