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Showing result 1 - 5 of 33 essays matching the above criteria.

  1. 1. Investigation of current sensing techniques for a high bandwidth application : Focusing on Hall-Current Sensing

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

    Author : Enric Ametller; [2023]
    Keywords : Current sensing; High bandwidth; Inverter; Hall-sensors; Strömavkänning; Hög bandbredd; Inverter; Hall-sensorer;

    Abstract : With the ongoing surge in electrification within the automotive industry, the demand for high-power inverters is steadily on the rise. Furthermore, these inverters are now expected to handle increased power loads while maintaining enhanced efficiency. READ MORE

  3. 2. Multiclass Brain Tumour Tissue Classification on Histopathology Images Using Vision Transformers

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Christoforos Spyretos; [2023]
    Keywords : medical imaging; deep learning; classification; CNN; Vision Transformer; glioblastoma; GBM; IvyGAP; brain tumour; histopathology; digital pathology; histology;

    Abstract : Histopathology refers to inspecting and analysing tissue samples under a microscope to identify and examine signs of diseases. The manual investigation procedure of histology slides by pathologists is time-consuming and susceptible to misconceptions. READ MORE

  4. 3. Clinical Assessment of Deep Learning-Based Uncertainty Maps in Lung Cancer Segmentation

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Federica Carmen Maruccio; [2023]
    Keywords : 3D U-Net; Contouring; Clinical validation; Deep learning; Lung cancer; Monte Carlo dropout; Probability map; Reliability diagram; Segmentation; Uncertainty map;

    Abstract : Prior to radiation therapy planning, tumours and organs at risk need to be delineated. In recent years, deep learning models have opened the possibility of automating the contouring process, speeding up the procedures and helping clinicians. READ MORE

  5. 4. Robust Multi-Modal Fusion for 3D Object Detection : Using multiple sensors of different types to robustly detect, classify, and position objects in three dimensions.

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

    Author : Viktor Kårefjärd; [2023]
    Keywords : Computer Vision; 3D Object Detection; Multi-Modal Fusion; Deep Learning; Datorseenden; 3D-objektdetektion; Multimodal fusion; Djupinlärning;

    Abstract : The computer vision task of 3D object detection is fundamentally necessary for autonomous driving perception systems. These vehicles typically feature a multitude of sensors, such as cameras, radars, and light detection and ranging sensors. READ MORE

  6. 5. The effect of model calibration on noisy label detection

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

    Author : Max Joel Söderberg; [2023]
    Keywords : Area Under the Margin; Calibration; Image classification; Label smoothing; Noisy labels; Overconfidence; Area under marginalen; Kalibrering; Bildklassificering; Etikettutjämning; Brusiga etiketter; Övertro;

    Abstract : The advances in deep neural networks in recent years have opened up the possibility of using image classification as a valuable tool in various areas, such as medical diagnosis from x-ray images. However, training deep neural networks requires large amounts of annotated data which has to be labelled manually, by a person. READ MORE