Sökning: "predicting count data"
Hittade 5 avhandlingar innehållade orden predicting count data.
1. Robust machine learning methods
Sammanfattning : We are surrounded by data in our daily lives. The rent of our houses, the amount of electricity units consumed, the prices of different products at a supermarket, the daily temperature, our medicine prescriptions, our internet search history are all different forms of data. Data can be used in a wide range of applications. LÄS MER
2. High-Performance Network-on-Chip Design for Many-Core Processors
Sammanfattning : With the development of on-chip manufacturing technologies and the requirements of high-performance computing, the core count is growing quickly in Chip Multi/Many-core Processors (CMPs) and Multiprocessor System-on-Chip (MPSoC) to support larger scale parallel execution. Network-on-Chip (NoC) has become the de facto solution for CMPs and MPSoCs in addressing the communication challenge. LÄS MER
3. Surgery in Armed Conflicts : Predicting surgical treatment needs and improving resource use in resource-constrained settings
Sammanfattning : Background In armed conflicts, civilian health care struggles to cope. Understanding the relationship between demographics, injury mechanism, and injury patterns to predict what surgical resources are needed is therefore vital. LÄS MER
4. Indicators of mastitis and milk quality in dairy cows : data, modeling, and prediction in automatic milking systems
Sammanfattning : Methods for generating predictions of important and generally accepted indicators of udder inflammation and poor milk quality, such as somatic cell count (SCC) or changes in milk homogeneity, are few. The aim of this thesis was to investigate methods to identify indicators of mastitis and poor milk quality in dairy cows using data generated by automatic milking systems (AMS). LÄS MER
5. Signal Modeling and Detection in Nephrologic and Cardiac Applications
Sammanfattning : This doctoral thesis is comprised of five parts in the field of biomedical signal processing with focus on methods for use in hemodialysis as well as in cardiac applications. The problem of predicting hypotension is the main concern in the parts were data from patients undergoing hemodialysis are used. LÄS MER