Sökning: "Unsupervised learning"

Visar resultat 41 - 45 av 361 uppsatser innehållade orden Unsupervised learning.

1. 41. Understanding the Activation Mechanism of the D2 Dopamine Receptor Modulated by Dopamine and Adrenaline via Machine Learning

   Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

   Författare :Astrid Frykman; Sophia Bröte; [2023]
   Nyckelord :;

   Sammanfattning : The dopamine receptor is one of the main therapeutic targets for neurological disorders, such as Parkinson’s disease and schizophrenia. Although dopamine and adrenaline are structurally similar and both bind to the D2 dopamine receptor, they activate the receptor differently. LÄS MER

3. 42. Unsupervised Domain Adaptation for 3D Object Detection Using Adversarial Adaptation : Learning Transferable LiDAR Features for a Delivery Robot

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Mattias Hansson; [2023]
   Nyckelord :Unsupervised Domain Adaptation; 3D Object Detection; Mobile Robotics; Adversarial Adaptation; Computer Vision; Oövervakad Domänanpassning; 3D Objektigenkänning; Mobila Robotar; Motspelaranpassning; Datorseende;

   Sammanfattning : 3D object detection is the task of detecting the full 3D pose of objects relative to an autonomous platform. It is an important perception system that can be used to plan actions according to the behavior of other dynamic objects in an environment. LÄS MER

4. 43. Text Curation for Clustering of Free-text Survey Responses

   Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Anton Gefvert; [2023]
   Nyckelord :Natural Language Processing; NLP; Sentence Representations; Sentence Representation Models; Survey; Surveys; Clustring;

   Sammanfattning : When issuing surveys, having the option for free-text answer fields is only feasible where the number of respondents is small, as the work to summarize the answers becomes unmanageable with a large number of responses. Using NLP techniques to cluster these answers and summarize them would allow a greater range of survey creators to incorporate free-text answers in their survey, without making their workload too large. LÄS MER

5. 44. Unsupervised Anomaly Detection in Multivariate Time Series Using Variational Autoencoders

   Magister-uppsats, Lunds universitet/Matematik LTH

   Författare :Elias Aronsson; [2023]
   Nyckelord :Anomaly Detection; Variational Autoencoder VAE ; Unsupervised Learning; Machine learning; AI; Technology and Engineering;

   Sammanfattning : In this master’s thesis, a novel unsupervised anomaly detection tool was developed in collaboration with Sandvik Rock Processing to assist engineers and experts in analyzing large amounts of sensor data from cone crushers used in the stone crushing industry. The tool focuses on analyzing power, pressure, and CSS sensor data. LÄS MER

7. 45. Semi-Supervised Domain Adaptation for Semantic Segmentation with Consistency Regularization : A learning framework under scarce dense labels

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Daniel Morales Brotons; [2023]
   Nyckelord :Domain Adaptation; Semi-Supervised Learning; Semi-Supervised Domain Adaptation; Semantic Segmentation; Consistency Regularization; Domain Adaptation; Semi-Supervised Learning; Semi-Supervised Domain Adaptation; Semantisk Segmentering; Konsistensregularisering;

   Sammanfattning : Learning from unlabeled data is a topic of critical significance in machine learning, as the large datasets required to train ever-growing models are costly and impractical to annotate. Semi-Supervised Learning (SSL) methods aim to learn from a few labels and a large unlabeled dataset. LÄS MER