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              <text>Interpreting Scope of Predictive Analytics in Advanced Driving Assistant System</text>
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              <text>Advance Driver Assistance System; Automotive; Machine Learning</text>
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              <text>Distracted driving, caused by various factors such as human emotions or reading distracting messages on the roadside, has become a leading cause of traffic accidents today. Ensuring the safety of both individuals and vehicles while minimizing maintenance costs poses a significant challenge for the automotive industry. Fortunately, recent advancements in machine learning offer a potential solution. One promising method is the further development of Advanced Driver Assistance Systems (ADAS), for which machine learning serves as an ideal solution. The proposed model develops an advanced predictive learning enabled driving assistance system with prediction capabilities like traffic light behavior and parking availability detection. The model gave an optimum accuracy of 98.2% with 50 epochs count and the validation loss retains a constant value of 0.3 over epochs.  2023 IEEE.</text>
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              <text>Saha R.; Debray A.; Sharma V.; Mishra S.; Al-Khasawneh M.A.; Alkhayyat A.</text>
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              <text>2023 International Conference on Advances in Computation, Communication and Information Technology, ICAICCIT 2023, pp. 561-566.</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>&lt;a href="https://doi.org/10.1109/ICAICCIT60255.2023.10465864" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICAICCIT60255.2023.10465864&lt;/a&gt;
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              <text>Restricted Access</text>
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              <text>ISBN: 979-835034438-7</text>
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              <text>Saha R., Kalinga Institute of Industrial Technology, Deemed to Be University, India; Debray A., Kalinga Institute of Industrial Technology, Deemed to Be University, India; Sharma V., Christ (Deemed to Be University), Department of Computational Sciences, India; Mishra S., Kalinga Institute of Industrial Technology, Deemed to Be University, India; Al-Khasawneh M.A., Skyline University College, University City Sharjah, School of Computing, Sharjah, 1797, United Arab Emirates; Alkhayyat A., The Islamic University, College of Technical Engineering, Najaf, Iraq</text>
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