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  • Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications: ICDSMLA 2022, 26–27 December, Hyderabad, India

    Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications by Kumar, Amit; Gunjan, Vinit Kumar; Hu, Yu-Chen; Senatore, Sabrina;

    ICDSMLA 2022, 26–27 December, Hyderabad, India

    Series: Lecture Notes in Electrical Engineering; 1038;

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      • Publisher's listprice EUR 299.59
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        124 254 Ft (118 338 Ft + 5% VAT)
      • Discount 20% (cc. 24 851 Ft off)
      • Discounted price 99 404 Ft (94 670 Ft + 5% VAT)

    124 254 Ft

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    Long description:

    This book includes peer reviewed articles from the 4th International Conference on Data Science, Machine Learning and Applications, 2022, held at the Hyderabad Institute of Technology & Management on 26-27th December, India. ICDSMLA is one of the most prestigious conferences conceptualized in the field of Data Science & Machine Learning offering in-depth information on the latest developments in Artificial Intelligence, Machine Learning, Soft Computing, Human Computer Interaction, and various data science & machine learning applications. It provides a platform for academicians, scientists, researchers and professionals around the world to showcase broad range of perspectives, practices, and technical expertise in these fields. It offers participants the opportunity to stay informed about the latest developments in data science and machine learning.

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    Table of Contents:

    Chapter 1: Mr. Bot – A Survey on Arduino Based Autonomous Robotic Vehicle.- Chapter 2: Opinion Mining based Fake Review Detection using Deep Learning Technique.- Chapter 3: Analysis of the Seer dataset for lung cancer diagnosis for Stage classification and survival Analysis.- Chapter 4: Data Analytics for Athlete Safety in Training.- Chapter 5: Social Media + Machine Learning to Offer Clues on Suicide Ideation Concerns.- Chapter 6: Analysis of Various Techniques of Fetal Growth Detection.

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