Essays about: "Ma- chine Learning"

Showing result 6 - 10 of 15 essays containing the words Ma- chine Learning.

1. 6. Neural Novelty — How Machine Learning Does Interactive Generative Literature

   University essay from Malmö universitet/Fakulteten för kultur och samhälle (KS)

   Author : Love Lagerkvist; [2020]
   Keywords : machine learning; generative literature; interaction design; cybertext; interactive literature; interactive machine learning; IML; ML; artificial intelligence; postmodern literature; gpt-2;

   Abstract : Every day, machine learning (ML) and artificial intelligence (AI) embeds itself further into domestic and industrial technologies. Interaction de- signers have historically struggled to engage directly with the subject, facing a shortage of appropriate methods and abstractions. READ MORE

3. 7. Classication framework formonitoring calibration ofautonomous waist-actuated minevehicles

   University essay from Örebro universitet/Institutionen för naturvetenskap och teknik

   Author : Per Landström; John Sandström; [2020]
   Keywords : SVM; NDT; machine learning; scan matching; hinge angle sensor; calibration detection;

   Abstract : For autonomous mine vehicles that perform the ”load-haul-dump” (LHD) cycle to operate properly, calibration of the sensors they rely on is crucial. The LHD cycle refers to a vehicle that loads material, hauls the material along a route and dumps it in an extraction point. READ MORE

4. 8. Combining Learned and Analytical Models for Predicting CO2e Emissions in Textile Products

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Aref Moradi; [2020]
   Keywords : ;

   Abstract : In recent years, there has been an increased attention to climate change and the effects it might have on human society. One of the main causes of climate change is increased carbon emissions due to different human activities and global scale industrialization. Various approaches exist to mitigate the effects of climate change. READ MORE

5. 9. Early Stratification of Gestational Diabetes Mellitus (GDM) by building and evaluating machine learning models

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Vibhor Sharma; [2020]
   Keywords : GDM; machine learning algorithms; binary classification; treebased models; XGBoost; performance metrics;

   Abstract : Gestational diabetes Mellitus (GDM), a condition involving abnormal levels of glucose in the blood plasma has seen a rapid surge amongst the gestating mothers belonging to different regions and ethnicities around the world. Cur- rent method of screening and diagnosing GDM is restricted to Oral Glucose Tolerance Test (OGTT). READ MORE

6. 10. Evaluation of machine learning methods for anomaly detection in combined heat and power plant

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Fredrik Carls; [2019]
   Keywords : Machine Learning; Anomaly detection; Fault detection; Health condition monitoring; Sensor surveillance; PHM; CHP Plant Boilers; k-Nearest Neighbor; One-Class Support Vector Machine; Auto-encoder; Maskininlärning; Anomalidetektion; Feldetektering; Tillståndsbevakning; Sensorövervakning; PHM; Kraftvärmeverkpannor; k-Nearest Neighbor; One-Class Support Vector Ma- chine; Auto-encoder;

   Abstract : In the hope to increase the detection rate of faults in combined heat and power plant boilers thus lowering unplanned maintenance three machine learning models are constructed and evaluated. The algorithms; k-Nearest Neighbor, One-Class Support Vector Machine, and Auto-encoder have a proven track record in research for anomaly detection, but are relatively unexplored for industrial applications such as this one due to the difficulty in collecting non-artificial labeled data in the field. READ MORE