The aim of the research in this thesis is to investigate and develop machine learning classification and recognition techniques for application in the field of 3D data analysis. The research focuses on three topics using two different types of data: 3D force touch panel display data for user touc...
However, the specific challenges posed by scientific data demand to adapt machine learning techniques to new requirements. We investigate machine learning-driven scientific data analysis, focusing on a set of key requirements. These include the management of uncertainty for complex data and models, the...
However, the specific challenges posed by scientific data demand to adapt machine learning techniques to new requirements. We investigate machine learning-driven scientific data analysis, focusing on a set of key requirements. These include the management of uncertainty for complex data and models, the...
Offers a comprehensive overview of the application of machine learning tools in data analysis across a wide range of subject areas Teaches readers how to apply machine learning techniques to biomedical signals, financial data, and healthcare data Explores important classification and regression algorithm...
the utilization of novel algorithms, including mouth-brooding fish (MBF), alongside machine learning techniques, for the analysis of medical health data. The... L Liu,Y Zhu - 《International Journal of Advanced Computer Science & Applications》 被引量: 0发表: 2024年 E-070Machine vision and ma...
The objective of this paper is to inform the information systems (IS) manager and business analyst about the role of machine learning techniques in business data mining. Data mining is a fast growing application area in business. Machine learning techniques are used for data analysis and pattern ...
Telemonitoring Parkinson’s disease using machine learning by combining tremor and voice analysis With the growing number of the aged population, the number of Parkinson’s disease (PD) affected people is also mounting. Unfortunately, due to insufficient resources and awareness in underdeveloped countrie...
Explore the multidisciplinary nature of complex networks through machine learning techniques Statistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for ...
Explore how machine learning enhances data analysis with real-world applications, key benefits, and essential tools. Discover why machine learning is a game-changer in the field of data analytics.
Researchers have trained a machine learning algorithm to successfully predict earthquake in a lab setting, and the techniques could be developed into a solution for real earthquake forecast, according to a study released Monday by the University of Cambridge. Machine learning is a method of data ...