Sökning: "examensarbete algoritmer"

Visar resultat 16 - 20 av 174 uppsatser innehållade orden examensarbete algoritmer.

  1. 16. Improving the Robustness of Over-the-Air Synchronization for 5G Networks in a Multipath Environment

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Anders Erninger; [2023]
    Nyckelord :Peak selection algorithms; Peak matching; Time alignment error; Over-the-air synchronization; Multipath environment; Toppvalsalgoritmer; Toppmatchning; Tidsfel; Luftburen synkronisation; Flervägsmiljö;

    Sammanfattning : Synchronization between base stations is a fundamental part of any operating telecommunication system. With 5G and future generations of mobile networks, the data speeds are getting higher, which creates the need for fast and accurate synchronization. In wireless systems, the transmitted signals are affected by the environment. LÄS MER

  3. 17. Leveraging Posits for the Conjugate Gradient Linear Solver on an Application-Level RISC-V Core

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :David Mallasén Quintana; [2022]
    Nyckelord :Computer Arithmetic; Conjugate Gradient; Posit; IEEE-754; Floating Point; High-Performance Computing; RISC-V; Datoraritmetik; Konjugerad Gradient; Posit; IEEE-754; Flytande Punkt; Högpresterande Beräkningar; RISC-V;

    Sammanfattning : Emerging floating-point arithmetics provide a way to optimize the execution of computationally-intensive algorithms. This is the case with scientific computational kernels such as the Conjugate Gradient (CG) linear solver. Exploring new arithmetics is of paramount importance to maximize the accuracy and timing performance of these algorithms. LÄS MER

  4. 18. Machine Learning for Classification of Temperature Controlled Containers Using Heavily Imbalanced Data

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Adam Ranjith; [2022]
    Nyckelord :Machine learning; Handling imbalanced data; Temperature controllable containers; Ensemble methods; Random forest.; Maskininlärning; Hantera obalanserad data; Temperatur reglerbara containrar; Meta-algoritmer; Random forest.;

    Sammanfattning : Temperature controllable containers are used frequently in order to transport pharmaceutical cargo all around the world. One of the leading manufacturing companies of these containers has a method for detecting containers with a faulty cooling system before making a shipment. LÄS MER

  5. 19. Data-Driven Motion Planning : With Application for Heavy Duty Vehicles

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Oscar Palfelt; [2022]
    Nyckelord :Motion planning; Deep learning; Autonomous driving; Nonuniform sampling; Rörelseplanering; Djupinlärning; Autonom körning; Ojämn provtagning;

    Sammanfattning : Motion planning consists of finding a feasible path of an object between an initial state and a goal state, and commonly constitutes a sub-system of a larger autonomous system. Motion planners that utilize sampling-based algorithms create an implicit representation of the search space via sampling said search space. LÄS MER

  7. 20. Comparing Text Similarity Functions For Outlier Detection : In a Dataset with Small Collections of Titles

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Vide Rabo; Erik Winbladh; [2022]
    Nyckelord :Outlier Detection; Text Similarity Functions; Natural Language Processing; N-Nearest Neighbour;

    Sammanfattning : Detecting when a title is put in an incorrect data category can be of interest for commercial digital services, such as streaming platforms, since they group movies by genre. Another example of a beneficiary is price comparison services, which categorises offers by their respective product. LÄS MER