Essays about: "predictive tools"
Showing result 6 - 10 of 71 essays containing the words predictive tools.
-
6. Unlocking the Potential of Business Intelligence in HR: Assessment of how maturity is to be developed : A case study
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : The rise of technology and digitalization has greatly impacted organizations, particularly in the field ofHuman Resources (HR). To stay competitive in this evolving landscape, HR departments are increasingly adopting Business Intelligence (BI) as a useful umbrella concept to collect, store, access, and analyze data for data-driven decision-making. READ MORE
-
7. Predicting Protein Stability with Machine Learning
University essay from Lunds universitet/Biofysikalisk kemiAbstract : Protein stability is a property of high importance and is of interest in a variety of fields. It determines if a protein has its native fold and can be of influence in certain diseases such as Parkinson's and Alzheimer's disease. READ MORE
-
8. Combining transaction and page view data for more accurate product recommendations
University essay from Umeå universitet/Institutionen för fysikAbstract : Recommendation systems are primarily used in e-commerce and retail to guide the user in a vast space of available items by providing personalized recommendations that fit the user's interests and need. Numerous types of recommendation systems have been introduced over the years. READ MORE
-
9. Holistic embedding of equivalent conicity in wheelset maintenance
University essay from KTH/Väg- och spårfordon samt konceptuell fordonsdesignAbstract : With continuing digitization of railways an increasing number of data is recorded but particularly in operation advanced analysis tends to be partially rudimentary. Yet, it is essential to implement sophisticated processing for all records in order to develop more purposeful and predictive vehicle maintenance strategies that adhere to the increasing requirements imposed by the homologation. READ MORE
-
10. Anomaly detection for prediction of failures in manufacturing environments : Machine learning based semi-supervised anomaly detection for multivariate time series to predict failures in a CNC-machine
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : For manufacturing enterprises, the potential of collecting large amounts of data from production processes has enabled the usage of machine learning for prediction-based monitoring and maintenance of machines. Yet common maintenance strategies still include reactive handling of machine failures or schedule-based maintenance conducted by experienced personnel. READ MORE