TY  - BOOK
AU  - Kumar,Amit
AU  - Gunjan,Vinit Kumar
AU  - Hu,Yu-Chen
AU  - Senatore,Sabrina
TI  - Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications: ICDSMLA 2022, 26-27 December, Hyderabad, India 
T2  - Lecture Notes in Electrical Engineering,
SN  - 9789819920587
U1  - 006.3 23
PY  - 2023///
CY  - Singapore
PB  - Springer Nature Singapore, Imprint: Springer
KW  - Artificial intelligence
KW  - Computational intelligence
KW  - Business information services
KW  - Neural networks (Computer science) 
KW  - Internet of things
KW  - Quantitative research
KW  - Artificial Intelligence
KW  - Computational Intelligence
KW  - IT in Business
KW  - Mathematical Models of Cognitive Processes and Neural Networks
KW  - Internet of Things
KW  - Data Analysis and Big Data
N1  - 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
N2  - 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
UR  - https://doi.org/10.1007/978-981-99-2058-7
ER  -