Essays about: "Class imbalance"
Showing result 11 - 15 of 57 essays containing the words Class imbalance.
-
11. FAULT DETECTION IN AIR HANDLING UNIT (AHU) USING MACHINE LEARNING
University essay from Högskolan Dalarna/MikrodataanalysAbstract : Fault in Air Handling Unit (AHU) of the Heating, Ventilation, and Air Conditioning (HVAC) systems in buildings is a challenge that building managements face. These faults cause buildings to waste 15 – 30% of the energy consumed by the AHU. READ MORE
-
12. Data Collection and Layout Analysis on Visually Rich Documents using Multi-Modular Deep Learning.
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The use of Deep Learning methods for Document Understanding has been embraced by the research community in recent years. A requirement for Deep Learning methods and especially Transformer Networks, is access to large datasets. READ MORE
-
13. Pediatric Brain Tumor Type Classification in MR Images Using Deep Learning
University essay from Linköpings universitet/Institutionen för medicinsk teknikAbstract : Brain tumors present the second highest cause of death among pediatric cancers. About 60% are located in the posterior fossa region of the brain; among the most frequent types the ones considered for this project were astrocytomas, medulloblastomas, and ependymomas. READ MORE
-
14. U - Net Based Crack Detection in Road and Railroad Tunnels Using Data Acquired by Mobile Device
University essay from KTH/GeoinformatikAbstract : Infrastructures like bridges and tunnels are significant for the economy and growth of countries, however, the risk of failure increases as they getting aged. Therefore, a systematic monitoring scheme is necessary to check the integrity regularly. READ MORE
-
15. Machine Learning for Early Prediction of Pneumothorax in the Intensive Care Unit
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : By taking advantage of the increasing amount of available electronic health data, applications of machine learning in the intensive care unit have the potential to improve medical diagnostics and risk stratification. This thesis proposes an approach for early onset prediction of pneumothorax with such technique, using time series data extracted from a clinical database. READ MORE