Essays about: "anomalies"

Showing result 26 - 30 of 434 essays containing the word anomalies.

  1. 26. Unsupervised Detection of Interictal Epileptiform Discharges in Routine Scalp EEG : Machine Learning Assisted Epilepsy Diagnosis

    University essay from Uppsala universitet/Avdelningen Vi3

    Author : Shuai Shao; [2023]
    Keywords : EEG; electroencephalography; IED; interictal epileptiform discharges; spike detection; epilepsy; unsupervised; Fourier transform; STFT; short-time Fourier transform; CWT; continuous wavelet transform; DWT; discrete wavelet transform; ML; machine learning; ANN; artificial neural network; CNN; convolutional neural network; autoencoder; HMM; hidden Markov model; ECS; Euclidean distance of cumulative spectrum;

    Abstract : Epilepsy affects more than 50 million people and is one of the most prevalent neurological disorders and has a high impact on the quality of life of those suffering from it. However, 70% of epilepsy patients can live seizure free with proper diagnosis and treatment. Patients are evaluated using scalp EEG recordings which is cheap and non-invasive. READ MORE

  3. 27. STUDY OF DISTRIBUTED/FEDERATED LEARNING APPROACHES WITH RANDOM FOREST FOR SENSOR FAILURE DETECTION IN MANUFACTURING ENVIRONMENT

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Andreas Karlsson; [2023]
    Keywords : ;

    Abstract : In a manufacturing environment, the continuous operation of production lines is of most importance to ensure optimal productivity and profitability. To maintain efficiency and safety, production lines often rely on systems that utilize data from sensors placed around the manufacturing process. READ MORE

  4. 28. Anomaly Detection with Machine Learning using CLIP in a Video Surveillance Context

    University essay from Linköpings universitet/Datorseende

    Author : Christoffer Gärdin; [2023]
    Keywords : Datorseende; maskininlärning; CLIP; anomalidetektion; videoövervakning;

    Abstract : This thesis explores the application of Contrastive Language-Image Pre-Training (CLIP), a vision-language model, in an automated video surveillance system for anomaly detection. The ability of CLIP to perform zero-shot learning, coupled with its robustness against minor image alterations due to its lack of reliance on pixel-level image analysis, makes it a suitable candidate for this application. READ MORE

  5. 29. Automation of forest road inventory using computer vision and machine learning

    University essay from Umeå universitet/Institutionen för fysik

    Author : Jacques de Flon; [2023]
    Keywords : Computer vision; Machine Learning; Image recognition; forestry; road inventory; pothole; gravel road;

    Abstract : There are around 300, 000 kilometer of gravel roads throughout the Swedish countryside, used every day by common people and companies. These roads face constant wear due to harsh weather as well as from heavy traffic, and thus, regular maintenance is required to keep up the road standard. READ MORE

  6. 30. Hard to reach energy consumers in Sweden

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Sanna Lundin; [2023]
    Keywords : Energy consumers; hard to reach energy consumers; HTR; policies; behavior; FCM; Energikonsumenter; HTR; politiska åtgärder; FCM; beteende;

    Abstract : The transition towards a sustainable and low-carbon future requires significant changes in energy behaviour among energy consumers. However, the question remains about how, by whom, and what changes are necessary to achieve this transition. READ MORE