Sökning: "Opportunity Pipeline"

Visar resultat 1 - 5 av 14 uppsatser innehållade orden Opportunity Pipeline.

  1. 1. Development of a Forecasting Model for Original Equipment Manufacturer (OEM) Components - A Design Science Study at Tetra Pak

    Master-uppsats, Lunds universitet/Teknisk logistik

    Författare :Faruk Kodzaga; Giacomo Daniele; [2022]
    Nyckelord :Forecasting Model; OEM; Opportunity Pipeline; Forecasting Accuracy; Technology and Engineering;

    Sammanfattning : Title: Development of a Forecasting Model for Original Equipment Manufacturer (OEM) Components. A Design Science Study at Tetra Pak. LÄS MER

  2. 2. Benchmarking VisualInertial Odometry Filterbased Methods for Vehicles

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

    Författare :Muhammad Zahid; [2021]
    Nyckelord :visual inertial odometry; VIO; sensor fusion; state estimation; recursive filter; navigation; autonomous vehicles; visuell tröghetsodometri; VIO; sensorfusion; tillståndsuppskattning; rekursivt filter; navigering; autonoma fordon;

    Sammanfattning : Autonomous navigation has the opportunity to make roads safer and help perform search and rescue missions by reducing human error. Odometry methods are essential to allow for autonomous navigation because they estimate how the robot will move based on the available sensors. LÄS MER

  3. 3. De novo SNP Discovery in the Spotted Hyena (Crocuta crocuta)

    Master-uppsats, SLU/Dept. of Wildlife, Fish and Environmental Studies

    Författare :Amber Mertens De Vry; [2021]
    Nyckelord :single nucleotide polymorphism; SNP; spotted hyena; Crocuta crocuta; relatedness; genetic monitoring;

    Sammanfattning : Relatedness studies of wild populations using reliable high-quality genetic markers enhance our understanding of a species’ behavior and ecology. Spotted hyenas (Crocuta crocuta) have a matriarchal social structure, unique amongst carnivores. LÄS MER

  4. 4. Development of a deep learning method for soil moisture estimation at high spatial and temporal resolution using satellite data

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Nicklas Simonsen; [2021]
    Nyckelord :Physical Geography and Ecosystem Analysis; Machine Learning; Deep Learning; Recurrent Neural Network; LSTM; Soil Moisture; Remote Sensing; SAR; Sentinel-1; Sentinel-2; ISMN; ICOS: Geomatics; Earth and Environmental Sciences;

    Sammanfattning : Soil moisture (SM) is an essential climate variable that controls fundamental hydrological and climatic processes. Soil moisture products derived from microwave remote sensing often provide measurements at low spatial resolution and incomplete temporal records. LÄS MER

  5. 5. Decoding Electrocorticography Signals by Deep Learning for Brain-Computer Interface

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Guillaume JUBIEN; [2019]
    Nyckelord :Deep learning; BCI; ECoG; Spatial filtering;

    Sammanfattning : Brain-Computer Interface (BCI) offers the opportunity to paralyzed patients to control their movements without any neuromuscular activity. Signal processing of neuronal activity enables to decode movement intentions. Ability for patient to control an effector is closely linked to this decoding performance. LÄS MER