Essays about: "active machine learning"

Showing result 11 - 15 of 121 essays containing the words active machine learning.

  1. 11. Identifying effects of adrenaline and dopamine binding on the beta2-adrenergic receptor structure and function using machine learning

    University essay from KTH/Skolan för teknikvetenskap (SCI)

    Author : Joar Gunnarsson; Leon Bergner; [2023]
    Keywords : beta2-adrenergic receptor; GPCR; adrenaline; dopamine; Machine learning; Molecular dynamics simulation;

    Abstract : The beta2-adrenergic receptor is a G-protein coupled receptor, involved in several physiological processes, which enables signaling through the cell membrane. To study the effect of dopamine and adrenaline binding on the receptor structure and function, we used machine learning methods applied to data from molecular dynamics simulations. READ MORE

  3. 12. Rotor temperature estimation in Induction Motors with Supervised Machine Learning

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

    Author : Christopher Gauffin; [2023]
    Keywords : Induction motors; Supervised Machine learning; Power converters; Parameter estimation; Embedded systems; Induktionsmotorer; Övervakad maskininlärning; Strömkonverterare; Parameterestimering; Inbyggda system;

    Abstract : The electrification of the automotive industry and artificial intelligence are both growing rapidly and can be greatly beneficial for a more sustainable future when combined. Induction machines exhibit many complex relationships between physical and electromagnetic properties that must be calculated in order to produce the correct quantities of torque and speed commanded by the driver. READ MORE

  4. 13. Edge Machine Learning for Wildlife Conservation : A part of the Ngulia project

    University essay from Linköpings universitet/Reglerteknik

    Author : Richard Gotthard; Marcus Broström; [2023]
    Keywords : Edge Machine Learning; Object Detection; Classification; Wildlife Conservation;

    Abstract : The prominence of Edge Machine Learning is increasing swiftly as the performance of microcontrollers continues to improve. By deploying object detection and classification models on edge devices with camera sensors, it becomes possible to locate and identify objects in their vicinity. READ MORE

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

    University essay from Linköpings universitet/Kommunikationssystem

    Author : Amanda Gidlöf; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE

  6. 15. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Cina Arjmand; [2023]
    Keywords : Artifical Intelligence; Machine Learning; Neuromorphic Engineering; Computer Vision; Technology and Engineering;

    Abstract : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. READ MORE