Essays about: "Multimodal Maskininlärning"

Showing result 1 - 5 of 16 essays containing the words Multimodal Maskininlärning.

  1. 1. Classifying femur fractures using federated learning

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Hong Zhang; [2024]
    Keywords : Atypical femur fracture; Federated Learning; Neural Network; Classification;

    Abstract : The rarity and subtle radiographic features of atypical femoral fractures (AFF) make it difficult to distinguish radiologically from normal femoral fractures (NFF). Compared with NFF, AFF has subtle radiological features and is associated with the long-term use of bisphosphonates for the treatment of osteoporosis. READ MORE

  3. 2. Deep Learning-Driven EEG Classification in Human-Robot Collaboration

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

    Author : Yuan Wo; [2023]
    Keywords : Human-robot collaboration; Electroencephalogram signal; Signal Processing Feature Extraction; Deep Learning method; Dilated Convolutional Neural Network; Människa-robot-samarbete; Elektroencefalogram-signal; Signalförädlingsfunktionsutvinning; Djupinlärningsmetod; Dilaterat konvolutionellt neuronnätverk.;

    Abstract : Human-robot collaboration (HRC) occurs when people and robots work together in a shared environment. Current robots often use rigid programs unsuitable for HRC. Multimodal robot programming offers an easier way to control robots using inputs like voice and gestures. READ MORE

  4. 3. Building Information Modeling Connection Recommendation Based on Machine Learning Using Multimodal Information

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

    Author : Zixin Zhou; [2023]
    Keywords : Building information modeling; Tekla Structures; Connection; Classification; Machine learning; Multimodal data fusion;

    Abstract : Den ökande komplexiteten i byggprojekt ger upphov till behovet av ett effektivt sätt att designa, hantera och underhålla strukturer. Byggnadsinformationsmodellering (BIM) underlättar dessa processer genom att tillhandahålla en digital representation av fysiska strukturer. READ MORE

  5. 4. 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

  6. 5. Playstyle Generation with Multimodal Generative Adversarial Imitation Learning : Style-reward from Human Demonstration for Playtesting Agents

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

    Author : William Ahlberg; [2023]
    Keywords : Imitation Learning; Reinforcement Learning; Game-testing; Imitationsinlärning; Förstärkande inlärning; Speltestning;

    Abstract : Playtesting plays a crucial role in video game production. The presence of gameplay issues and faulty design choices can be of great detriment to the overall player experience. READ MORE