Essays about: "multivariat"

Showing result 6 - 10 of 63 essays containing the word multivariat.

  1. 6. 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

  2. 7. Straight to the Heart : Classification of Multi-Channel ECG-signals using MiniROCKET

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

    Author : Stefan Christiansson; [2023]
    Keywords : MiniROCKET; Time-series analysis; Multi-variate; Classification; Convolutional Neural Network; MiniROCKET; Tidsserieanalys; Multivariat; Klassifikation; Convolutional Neural Network;

    Abstract : Machine Learning (ML) has revolutionized various domains, with biomedicine standing out as a major beneficiary. In the realm of biomedicine, Convolutional Neural Networks (CNNs) have notably played a pivotal role since their inception, particularly in applications such as time-series classification. READ MORE

  3. 8. Prediction of Plastic Fragments in Recycled Paper Using Near-Infrared Spectroscopy

    University essay from Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)

    Author : Fidan Alieva; [2023]
    Keywords : Near-infrared spectroscopy; paper packaging; barrier materials; recycling; multivariate data analysis; Nära-infraröd spektroskopi; pappersförpackningar; barriärmaterial; återvinning; multivariat dataanalys;

    Abstract : Sustainability has gained a lot of attention in the field of research. Researchers and consumers both prioritize sustainability and environmental issues over previously dominant materials, such as plastic. Packaging and disposable items that used to be made of plastic have largely been replaced with paper. READ MORE

  4. 9. Unveiling the 'Rule of 40' : Exploring the Influence of Growth and Profitability on Valuation in the Nordic B2B SaaS Industry

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

    Author : Dante Algkvist Nordfors; Sofia Hansson; [2023]
    Keywords : Software-as-a-Service; SaaS; Rule of 40; Profitability; Valuation; Software-as-a-Service; SaaS; Rule of 40; Tillväxt; Lönsamhet; Värdering;

    Abstract : Amidst the growth of the global Software-as-a-Service (SaaS) industry, researchers have begun to scrutinize current valuation methods when applied to SaaS firms, and investors have widely embraced and adopted their own rules of thumb for SaaS company valuation. One of which is the 'Rule of 40', which is characterized by growth and profitability. READ MORE

  5. 10. Anomaly detection for prediction of failures in manufacturing environments : Machine learning based semi-supervised anomaly detection for multivariate time series to predict failures in a CNC-machine

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

    Author : Felix Boltshauser; [2023]
    Keywords : Machine learning; Anomaly Detection; DeepAnT; ROCKET; OCSVM; manufacturing; predictive maintenance; Maskin inlärning; Anomali Detektion; DeepAnT; ROCKET; OCSVM; tillverkning; prediktivt underhåll;

    Abstract : For manufacturing enterprises, the potential of collecting large amounts of data from production processes has enabled the usage of machine learning for prediction-based monitoring and maintenance of machines. Yet common maintenance strategies still include reactive handling of machine failures or schedule-based maintenance conducted by experienced personnel. READ MORE