Essays about: "Djupinlärning"

Showing result 31 - 35 of 374 essays containing the word Djupinlärning.

1. 31. Document Expansion for Swedish Information Retrieval Systems

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

   Author : Tobias Hagström; [2023]
   Keywords : Information retrieval; Natural language processing; Deep learning; informationssökningssystem; språkteknologi; djupinlärning;

   Abstract : Information retrieval systems have come to change how users interact with computerized systems and locate information. A major challenge when designing these systems is how to handle the vocabulary mismatch problem, i.e. that users, when formulating queries, pick different words than those present in the relevant documents that should be retrieved. READ MORE

3. 32. A Transformer-Based Scoring Approach for Startup Success Prediction : Utilizing Deep Learning Architectures and Multivariate Time Series Classification to Predict Successful Companies

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

   Author : Gustaf Halvardsson; [2023]
   Keywords : Machine learning; Time Series Classification; Transformers; Gated Recurrent Unit; Venture Capital; Maskininlärning; tidsseriesklassifiering; Transformer; Gated Recurrent Unit; riskkapital;

   Abstract : The Transformer, an attention-based deep learning architecture, has shown promising capabilities in both Natural Language Processing and Computer Vision. Recently, it has also been applied to time series classification, which has traditionally used statistical methods or the Gated Recurrent Unit (GRU). READ MORE

4. 33. Quantification of DNA Microballs Using Image Processing Techniques

   University essay from KTH/Industriell bioteknologi

   Author : Yosef Werede Tedros; [2023]
   Keywords : Spot detection; Deep learning; Image processing; smFISH; Gene editing; CRISPR; Rolling circle amplification; Big-FISH; LodeSTAR; DeepSpot; Detektering av punkter; Djupinlärning; Bildbehandling; smFISH; Genredigering; CRISPR; Rolling circle amplification; Big-FISH; LodeSTAR; DeepSpot;

   Abstract : I detta examensarbete användes olika bildbehandlingstekniker för detektion och kvantifiering av DNA-mikrobollar, mer specifikt rolling circle amplification-produkter, på mikroskopibilder. Avsikten med detta arbete var att hjälpa Countagen AB utforska pipelines för bildbehandling för sin produkt där de analyserar utfallet av genredigeringsförsök på ett billigare och snabbare sätt än dagens konventionella sekvenseringsmetoder. READ MORE

5. 34. Violin Artist Identification by Analyzing Raga-vistaram Audio

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

   Author : Nandakishor Ramlal; [2023]
   Keywords : Artist identification; Music information retrieval; Deep Learning; Convolutional Neural Network; Convolutional Recurrent Neural Network; Embeddings; log-Melspectrogram; Artistidentifiering; återhämtning av musikinformation; Deep Learning; Convolutional Neural Network; Convolutional Recurrent Neural Network; Inbäddningar; log-Melspektrogram;

   Abstract : With the inception of music streaming and media content delivery platforms, there has been a tremendous increase in the music available on the internet and the metadata associated with it. In this study, we address the problem of violin artist identification, which tries to classify the performing artist based on the learned features. READ MORE

6. 35. Image-Guided Zero-Shot Object Detection in Video Games : Using Images as Prompts for Detection of Unseen 2D Icons

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

   Author : Axel Larsson; [2023]
   Keywords : Computer Vision; Deep learning; Machine learning; Object detection; Zeroshot; Datorseende; Djupinlärning; Maskininlärning; Objektdetektering; Zero-shot;

   Abstract : Object detection deals with localization and classification of objects in images, where the task is to propose bounding boxes and predict their respective classes. Challenges in object detection include large-scale annotated datasets and re-training of models for specific tasks. READ MORE