Essays about: "rbf"

Showing result 1 - 5 of 35 essays containing the word rbf.

  1. 1. Android Malware Detection Using Machine Learning

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Rahul Sai Kesani; [2024]
    Keywords : Malware; Machine Learning; Random Forest; Sequential Neural Network.;

    Abstract : Background. The Android smartphone, with its wide range of uses and excellent performance, has attracted numerous users. Still, this domination of the Android platform also has motivated the attackers to develop malware. The traditional methodology which detects the malware based on the signature is unfit to discover unknown applications. READ MORE

  3. 2. 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

  4. 3. Transformer-Based Multi-scale Technical Reports Analyser for Science Projects Cost Prediction

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

    Author : Thomas Bouquet; [2023]
    Keywords : Natural Language Processing; Transformers; Deep Learning; Cost Prediction; Traitement Automatique du Langage; Transformers; Apprentissage Profond; Prédiction de coûts; Behandling av naturligt språk; Transformers; Djupinlärning; Kostnadsförutsägelser;

    Abstract : Intrinsic value prediction is a Natural Language Processing (NLP) problem consisting in determining a numerical value contained implicitly and non-trivially in a text. In this project, we introduce the SWORDSMAN model (Sentence and Word-level Oracle for Research Documents by Semantic Multi-scale ANalysis), a deep neural network architecture based on transformers whose goal is to predict the cost of research projects from the analysis of their abstract. READ MORE

  5. 4. How the Choice of Primary Treatment Affects the Biogas Potential of Primary Sludge

    University essay from Lunds universitet/Kemiteknik (CI)

    Author : Fanny Blom; [2022]
    Keywords : wastewater treatment; primary treatment; biogas potential; primary settling treatment; rotating belt filter; chemically enhanced primary treatment; environmental engineering; water resources engineering; Technology and Engineering;

    Abstract : The global heating has resulted in rising temperatures and more extreme weather conditions around the world. In combination with increasing energy demands, this has led to an increasing demand of renewable energy. One option is utilizing the wastewater to produce biogas. There-fore, wastewater can be seen as a resource rather than waste. READ MORE

  6. 5. Vibration-Based Terrain Classification for an Autonomous Truck

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

    Author : Lucas Lovén; [2022]
    Keywords : Autonomous vehicles; machine learning; surface identification; obstacle identification; signal processing; time series classification; Autonoma fordon; maskininlärning; detektering av underlag; detektering av hinder; signalhantering; tidsserie klassifiering;

    Abstract : This thesis is focused on developing vibration based terrain classification for an autonomous mining truck. The goal is to classify between good and bad gravel roads as well as good and bad asphalt roads. Current literature within vibration based terrain classification has been focused to a great extent on smaller research vehicles. READ MORE