Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications [electronic resource] : ICDSMLA 2022, 26-27 December, Hyderabad, India / edited by Amit Kumar, Vinit Kumar Gunjan, Yu-Chen Hu, Sabrina Senatore.

Colaborador(es): Kumar, Amit [editor.] | Gunjan, Vinit Kumar [editor.] | Hu, Yu-Chen [editor.] | Senatore, Sabrina [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Electrical Engineering ; 1038Editor: Singapore : Springer Nature Singapore : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: VIII, 441 p. 254 illus., 189 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789819920587Tema(s): Artificial intelligence | Computational intelligence | Business information services | Neural networks (Computer science)  | Internet of things | Quantitative research | Artificial Intelligence | Computational Intelligence | IT in Business | Mathematical Models of Cognitive Processes and Neural Networks | Internet of Things | Data Analysis and Big DataFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q334-342TA347.A78Recursos en línea: Libro electrónicoTexto
Contenidos:
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.
En: Springer Nature eBookResumen: 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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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.

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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