Essays about: "SVM"

Showing result 1 - 5 of 269 essays containing the word SVM.

  1. 1. Head impact detection with sensor fusion and machine learning

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Aron Strandberg; [2022]
    Keywords : head impact detection; sensor fusion; 3D; machine learning; support vector machine; random forests;

    Abstract : Head injury is common in many different sports and elsewhere, and is often associated with differentdifficulties. One major problem is to identify and value the injury or the severity. Sometimes there is no sign of head injury, but a serious neck distortion has occurred, causing similar symptoms as head injuries e.g. READ MORE

  2. 2. CArDIS: A Swedish Historical Handwritten Character and Word Dataset for OCR

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Shivani Thummanapally; Sakib Rijwan; [2022]
    Keywords : Handwritten Text Recognition; Optical Character Recognition; Machine learning methods; historical handwritten character recognition; handwritten character dataset;

    Abstract : Background: To preserve valuable sources and cultural heritage, digitization of handwritten characters is crucial. For this, Optical Character Recognition (OCR) systems were introduced and most widely used to recognize digital characters. READ MORE

  3. 3. From Log-Data to Regressive Machine Learning Models for Predictive Maintenance : A case study

    University essay from Uppsala universitet/Industriell teknik

    Author : Lucas Christiaan van Dam; [2022]
    Keywords : Predictive maintenance; Log-data; Remaining useful lifetime; Regression models; Machine learning; Component degradation;

    Abstract : There are three ways to deal with component failure: reactive maintenance, preventive maintenance, and predictive maintenance. Reactive maintenance is to repair only once something breaks. Preventive maintenance is to repair before it breaks, independent of actual wear. READ MORE

  4. 4. Blackhole Attack Detection in Low-Power IoT Mesh Networks Using Machine Learning Algorithms

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Hossein Keipour; [2022]
    Keywords : IoT; 6LoWPAN; RPL; Intrusion Detection System; Machine Learning;

    Abstract : Low-Power Lossy Networks (LLNs) are a type of Internet of Things (IoT) meshnetwork that collaboratively interact and perform various tasks autonomously. TheRouting Protocol for Low-power and Lossy Network (RPL) is the most used rout-ing protocol for LLNs. READ MORE

  5. 5. Modelling rare events using non-parametric machine learning classifiers - Under what circumstances are support vector machines preferable to conventional parametric classifiers?

    University essay from Göteborgs universitet/Institutionen för nationalekonomi med statistik

    Author : Lukas Ma; [2021-04-06]
    Keywords : ;

    Abstract : Rare event modelling is an important topic in quantitative social science research. However, despite the fact that traditional classifiers based upon general linear models (GLM) might lead to biased results, little attention in the social science community is devoted to methodological studies aimed at alleviating such bias, even fewer of them have considered the use of machine learning methods to tackle analytical problems imposed by rare events. READ MORE