Search Results - (( development driving classification algorithm ) OR ( java implication based algorithm ))
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Machine learning: tasks, modern day applications and challenges
Published 2019“…Thirdly, we related these developments with how they are affecting human societies with respect to their applications such as image classification, autonomous driving, and data fusion. …”
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Driver drowsiness detection using different classification algorithms
Published 2020“…Hence, this paper present and prove the reliability of ECG signal for drowsiness detection in classifying high accuracy ECG data using different classification algorithms.…”
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Universiti malaysia pahang autonomous shuttle Development : Lane classification analysis using convolutional neural network (CNN)
Published 2022“…In this study, an improved classification algorithm using deep learning specifically convolutional neural network is used to detect the lane markers. …”
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Intent-IQ: customer’s reviews intent recognition using random forest algorithm
Published 2025“…In order to overcome this problem, a classification model for intent recognition is developed. …”
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Universiti Malaysia Pahang autonomous shuttle development : Lane classification analysis using Convolutional Neural Network (CNN)
Published 2022“…In this study, an improved classification algorithm using deep learning specifically convolutional neural network is used to detect the lane markers. …”
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Advances in lane marking detection algorithms for all-weather conditions
Published 2021“…Moreover, the vehicles will move slower hence increasing the road traffic congestion which causes difficulties in detecting the lane markers especially for advanced driving assistance systems (ADAS). Therefore, this paper conducts a thorough review on vision-based lane marking detection algorithms developed for all-weather conditions. …”
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An acquisition and a modulated recognition system for driver profiling in Malaysia / Ward Ahmed Alaulddin Al-Hussein
Published 2022“…The results have shown that CNN outperformed the other two classification algorithms in terms of accuracy, precision, recall, and f-measure and was therefore selected for a recognition system that, in combination with the acquisition system, would assist traffic police and insurance firms in detecting unsafe driving behaviors. …”
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ECG-based driving fatigue detection using heart rate variability analysis with mutual information
Published 2023“…In this paper, we propose developments in the feature extraction and feature selection phases in the driving fatigue detection framework. …”
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Poverty Classification in Indonesia Using BiGRU, BPNN, and Stacking AdaBoost Frameworks
Published 2024“…The novelty of this research lies in the successful application of a stacked machine learning model combining BiGRU, BPNN, and AdaBoost, which establishes a new benchmark for poverty classification in large-scale social datasets. This study not only contributes to the academic discourse but also paves the way for practical implementations that can drive inclusive and sustainable development.…”
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