Sökning: "deep active learning"

Visar resultat 1 - 5 av 68 uppsatser innehållade orden deep active learning.

1. 1. Hur användandet av samtal och diskussion påverkar mellanstadieelevers förståelse för matematik

   Uppsats för yrkesexamina på grundnivå, Malmö universitet/Institutionen för naturvetenskap, matematik och samhälle (NMS)

   Författare :Rasmus Schultz; Lukas Scherp; [2024]
   Nyckelord :conversation; discussion; interaction; leading classroom discussions; learning Strategies; mathematics; mathematics teaching; mathematical concept; middle school; using conversation; vocabulary;

   Sammanfattning : This research overview is an evaluation of knowledge and explores the impact of language linked to mathematics. This particularly in the context of conversations and discussions, on the mathematical understanding of students in the ages between ten to twelve years old. LÄS MER

3. 2. Utilizing Transformers with Domain-Specific Pretraining and Active Learning to Enable Mining of Product Labels

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för beräkningsvetenskap

   Författare :Erik Norén; [2023]
   Nyckelord :Machine Learning; Natural Language Processing; NLP; BERT; Active Learning; AL; Pharmacovigilance; UMC; Uppsala Monitoring Centre; Structured Product Label; SPL; Transformers; Domain-Specific Pretraining; NER; Named Entity Recognition; Adverse Drug Reaction; ADR;

   Sammanfattning : Structured Product Labels (SPLs), the package inserts that accompany drugs governed by the Food and Drugs Administration (FDA), hold information about Adverse Drug Reactions (ADRs) that exists associated with drugs post-market. This information is valuable for actors working in the field of pharmacovigilance aiming to improve the safety of drugs. LÄS MER

4. 3. A Machine Learning Approach to Skin Cancer Delineation on Photoacoustic Imaging

   Master-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

   Författare :Alice Fracchia; [2023]
   Nyckelord :Skin cancer; carcinoma; photoacoustic imaging; ultrasound imaging; machine learning; dimensionality reduction; sandpiles algorithm; active contour; multilayer perception MLP ; convolutional neural networks CNN ; autoencoder; Physics and Astronomy;

   Sammanfattning : Skin cancer is a growing public health concern due to its prevalence among the population. Current clinical procedures require high invasiveness and multiple surgeries, which are responsible for patient discomfort and high medical expenses. LÄS MER

5. 4. Evaluation of Methods for Sound Source Separation in Audio Recordings Using Machine Learning

   Master-uppsats, Linköpings universitet/Kommunikationssystem

   Författare :Amanda Gidlöf; [2023]
   Nyckelord :Sound source separation; signal processing; audio processing; speech enhancement; speaker identification; speech separation; speech processing; speaker separation; single channel; multi channel; cocktail party problem; machine learning; neural network; deep learning; deep neural network; convolutional network; dual-path network; filter-and-sum network; recurrent network; beamforming;

   Sammanfattning : Sound source separation is a popular and active research area, especially with modern machine learning techniques. In this thesis, the focus is on single-channel separation of two speakers into individual streams, and specifically considering the case where two speakers are also accompanied by background noise. LÄS MER

7. 5. Battery Capacity Prediction Using Deep Learning : Estimating battery capacity using cycling data and deep learning methods

   Uppsats för yrkesexamina på avancerad nivå, Mälardalens universitet/Framtidens energi

   Författare :Josefin Rojas Vazquez; [2023]
   Nyckelord :Battery management system; Lithium-ion batteries; battery degradation mechanisms; battery cycle life; Electrical impedance spectroscopy; Capacity estimation; Incremental capacity analysis; Deep learning models; Equivalent circuit model; Long short-term memory; Feedforward neural network; Conventional neural network; multi-channel data; Incremental capacity analysis;

   Sammanfattning : The growing urgency of climate change has led to growth in the electrification technology field, where batteries have emerged as an essential role in the renewable energy transition, supporting the implementation of environmentally friendly technologies such as smart grids, energy storage systems, and electric vehicles. Battery cell degradation is a common occurrence indicating battery usage. LÄS MER