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Browsing by Subject "machine learning"

Browsing by Subject "machine learning"

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  • AI in Robotics: Advancements, Applications and Challenges 
    Dave, Nehal; Kavathiya, Hiren (Journal of Information Technology and Digital World, 2023)
    The development, uses, and difficulties of artificial intelligence (AI) in the field of robotics are examined in this research study. Robotics has been transformed by the use of AI approaches, which allow robots to carry ...
  • Hybrid machine learning in classification methods for HCR in gujarati language 
    Doshi, Priyank D.; Vanjara, Pratik (International Multidisciplinary journal of applied research, 2022-01)
    The problem of recognizing Gujarati Handwritten character with vowels opening new future scope where one can use smart phone, website or any handy scanner to convert hand written Gujarati Language into text. It will ...
  • Hybrid machine learning in classification methods for HCR in gujarati language 
    Doshi, Priyank D.; Vanjara, Pratik (International Multidisciplinary journal of applied research, 2022-01)
    The problem of recognizing Gujarati Handwritten character with vowels opening new future scope where one can use smart phone, website or any handy scanner to convert hand written Gujarati Language into text. It will ...
  • Introduction to machine learning for making prediction easy and accurate 
    Halvadi, Homera; Parsana, Falguni (Journal of Information and Computational Science, 2023)
    Introduction to machine learning for making prediction easy and accurate Today's digital world includes IoT data, network security data, mobile data, business data, information technology, data health, etc. It is rich in ...
  • Thyroid Disease Detection Using a Hybrid Machine Learning Approach 
    Gujarati, Prakash Prafulbhai (International Journal of Scientific Research in Engineering and Management, 2024)
    This paper introduces a hybrid machine learning approach for the detection of thyroid diseases, specifically focusing on Hyperthyroidism and Hypothyroidism. By integrating Decision Tree and Random Forest algorithms, the ...