Search Result "machining response"
Big Data to Knowledge: Application of Machine Learning to Predictive Modeling of Therapeutic Response in Cancer
Journal: Current Genomics
Volume: 22 Issue: 4 Year: 2021 Page: 244-266
Author(s): Sukanya Panja,Sarra Rahem,Cassandra J. Chu,Antonina Mitrofanova
Ultrasonic Machining Process - A Review
Ebook: Advances in Nonconventional Machining Processes
Volume: 1 Year: 2020
Author(s): Janender Kumar,Amrinder Pal Singh,Anurag Thakur,Munish Mehta
Doi: 10.2174/9789811483653120010003
Machine Learning in Healthcare
Journal: Current Genomics
Volume: 22 Issue: 4 Year: 2021 Page: 291-300
Author(s): Hafsa Habehh,Suril Gohel
Introduction To Machine Learning
Ebook: Introduction to Machine Learning with Python
Volume: 1 Year: 2023
Author(s):
Doi: 10.2174/9789815124422123010004
Machine Learning in Health Care
Ebook: Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare
Volume: 1 Year: 2021
Author(s): Ilker Ozsahin,Dilber Uzun Ozsahin,Basil Bartholomew Duwa
Doi: 10.2174/9781681088716121010004
Supervised Machine Learning: Classification
Ebook: Machine Learning and Its Application: A Quick Guide for Beginners
Volume: 1 Year: 2021
Author(s): Indranath Chatterjee
Doi: 10.2174/9781681089409121010005
Analysis of Machine Learning Algorithms in Healthcare
Ebook: Intelligent Technologies for Automated Electronic Systems
Volume: 1 Year: 2024
Author(s):
Doi: 10.2174/9789815179514124010018
Introduction to Machine Learning
Ebook: Machine Learning and Its Application: A Quick Guide for Beginners
Volume: 1 Year: 2021
Author(s): Indranath Chatterjee
Doi: 10.2174/9781681089409121010004
Machine Learning in Detection of Disease: Solutions and Open Challenges
Ebook: Machine Intelligence for Internet of Medical Things: Applications and Future Trends
Volume: 2 Year: 2023
Author(s):
Doi: 10.2174/9789815080445123020013
Thermally Enhanced Non-Conventional Machining Process- A Review
Ebook: Advances in Nonconventional Machining Processes
Volume: 1 Year: 2020
Author(s): Janender Kumar,Suneev Anil Bansal,Munish Mehta
Doi: 10.2174/9789811483653120010005