Essays about: "klassificering"

Showing result 1 - 5 of 343 essays containing the word klassificering.

  1. 1. Operational data extraction using visual perception

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

    Author : Nagarajan Shunmugam; [2021]
    Keywords : Visual perception; camera; convolutional neural networks; classification; object detection; semantic segmentation; depth estimation; gradient descent with restarts; cosine annealing.; Visuell uppfattning; kamera; neurologiska nätverk; klassificering; objektdetektering; semantisk segmentering; djupberäkning; gradientnedstigning med omstart; cosinusglödgning.;

    Abstract : The information era has led the manufacturer of trucks and logistics solution providers are inclined towards software as a service (SAAS) based solutions. With advancements in software technologies like artificial intelligence and deep learning, the domain of computer vision has achieved significant performance boosts that it competes with hardware based solutions. READ MORE

  2. 2. Responsible Investing in Exchange-Traded Funds : An empirical analysis of information obstacles faced by retail investors

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

    Author : Anna Lisa Reich; Christian Sass; [2021]
    Keywords : Responsible investing; retail investor; exchange-traded fund; investment decision; ESG; investment obstacles; Ansvarsfull investering; privatinvesterare; börshandlad fond; investeringsbeslut; ESG; investeringshinder;

    Abstract : In the context of the Sustainable Development Goals and the Paris Agreement, the European Union has devised a sustainable finance strategy that relies on the engagement of both institutional and private investors in responsible investing to deliver on those goals. Several studies have found high interest in responsible investing among retail investors, but a relatively low engagement therein. READ MORE

  3. 3. Instance Segmentation of Multiclass Litter and Imbalanced Dataset Handling : A Deep Learning Model Comparison

    University essay from Linköpings universitet/Datorseende

    Author : Rolf Sievert; [2021]
    Keywords : Machine learning; Multiclass; Deep learning; Instance segmentation; Object segmentation; Iterative stratification; Mask R-CNN; DetectoRS; Imbalanced dataset; Classification; Detection; Segmentation; Litter; Trash; TACO; COCO; MMDetection; Multinomial; Cybercom; AI; Artificial intelligence; Land-based litter; Computer vision; Maskininlärning; Djupinlärning; Instanssegmentering; Objektsegmentering; Mask R-CNN; DetectoRS; Obalanserat dataset; Klassificering; Detektion; Segmentering; Skräp; TACO; COCO; MMDetection; Multinomial; Cybercom; AI; Artificiell intelligens; Datorseende;

    Abstract : Instance segmentation has a great potential for improving the current state of littering by autonomously detecting and segmenting different categories of litter. With this information, litter could, for example, be geotagged to aid litter pickers or to give precise locational information to unmanned vehicles for autonomous litter collection. READ MORE

  4. 4. A comparison of supervised and semi-supervised learning for classification of truck stop locations

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

    Author : Mengdi Xue; [2021]
    Keywords : ;

    Abstract : GPS-based data has been an important source for researchers and commercial fleet companies to study and build transportation models, since GPS uses passive information collecting without including too much human participation, and thus provides the possibility of collecting huge amount of data. Recent research shows that the GPS data can be used to solve different kinds of transportation related problems using machine learning algorithms. READ MORE

  5. 5. Software Issue Time Estimation With Natural Language Processing and Machine Learning

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

    Author : Martin Hyberg; [2021]
    Keywords : Natural Language Processing; Regression; Classification; Time Estimation; Software Issues; Word2Vec; FastText; Språkteknologi; Regression; Klassificering; Tidsuppskattning; Mjukvaruärenden; Word2Vec; FastText;

    Abstract : Time estimation for software issues is crucial to planning projects. Developers and experts have for many decades tried to estimate time requirements for issues as accurately as possible. The methods that are used today are often time-consuming and complex. READ MORE