Sökning: "multi precision"

Visar resultat 1 - 5 av 119 uppsatser innehållade orden multi precision.

  1. 1. Wireless Sensor Network for Controlling the Varroasis Spread within Bee colonies across a Geographical Region

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Venkat Sai Akhil Dasyam; Saketh Pokuri; [2024]
    Nyckelord :Wireless Sensor Networks; Monitoring and Control; Precision Beekeeping; Disease spread; Internet of Things.;

    Sammanfattning : Background: With the global decline of honey bee populations, safeguarding these vital pollinators has become crucial. Varroa destructor mites are a primary threat, weakening bees and facilitating the spread of diseases, which can decimate colonies and disrupt ecosystems. LÄS MER

  3. 2. Land cover classification using machine-learning techniques applied to fused multi-modal satellite imagery and time series data

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

    Författare :Anastasia Sarelli; [2024]
    Nyckelord :Geography; GIS; Land Cover Classification; Landsat; Machine Learning; Earth and Environmental Sciences;

    Sammanfattning : Land cover classification is one of the most studied topics in the field of remote sensing, involving the use of data from satellite sensors to analyze and categorize different land surface types. There are numerous satellite products available, each offering different spatial, spectral, and temporal resolutions. LÄS MER

  4. 3. Utilizing energy-saving techniques to reduce energy and memory consumption when training machine learning models : Sustainable Machine Learning

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

    Författare :Khalid El Yaacoub; [2024]
    Nyckelord :Sustainable AI; Machine learning; Quantization-Aware Training; Model Distillation; Quantized Distillation; Siamese Neural Networks; Continual Learning; Experience Replay; Data Efficient AI; Energy Consumption; Energy-Savings; Sustainable ML; Computation resources; Hållbar maskin inlärning; Hållbar AI; Maskininlärning; Quantization-Aware Training; Model Distillation; Quantized Distillation; siamesiska neurala nätverk; Continual Learning; Experience Replay; Dataeffektiv AI; Energiförbrukning; Energibesparingar; Beräkningsresurser;

    Sammanfattning : Emerging machine learning (ML) techniques are showing great potential in prediction performance. However, research and development is often conducted in an environment with extensive computational resources and blinded by prediction performance. LÄS MER

  5. 4. Systematic Multi-Parametric Analysis of Acute Myeloid Leukemia (AML) Flow Cytometry Drug Screens using Flowty

    Master-uppsats, Lunds universitet/Teknisk mikrobiologi

    Författare :Augusta Jensen; [2023]
    Nyckelord :Acute myeloid leukemia; AML; cellular subpopulations; data analysis; precision medicine; Flowty; applied microbiology; Biology and Life Sciences;

    Sammanfattning : Acute myeloid leukemia (AML) is a heterogeneous disease, making it difficult to treat. The standard treatment is intensive chemotherapy and has not changed in 40 years. However, recently new drugs and as less intensive treatment regimens have been approved in the US and in Europe. However. LÄS MER

  7. 5. Collaborative Mapping with Drone Swarms Utilizing Relative Distance Measurements

    Master-uppsats, Linköpings universitet/Reglerteknik

    Författare :Johan Forsman; Carl Tidén; [2023]
    Nyckelord :;

    Sammanfattning : The field of use for unmanned aerial vehicles, UAVs, has completely exploded in the last decade. Today they are used for surveillance missions and inspecting places that are difficult for people to access. To increase the efficiency and robustness in the execution of these types of missions, swarms of cooperating drones can be used. LÄS MER