Sökning: "LET optimization"

Visar resultat 1 - 5 av 14 uppsatser innehållade orden LET optimization.

  1. 1. Predicting Navigational Patterns in Web Applications using Machine Learning Techniques

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :Patric Balan; Gustav Jönemo; [2024]
    Nyckelord :Technology and Engineering;

    Sammanfattning : In large corporations, customer support is a costly service, and an area of constant optimization. Solutions to increase efficiency and decrease bottlenecks are constantly needed. LÄS MER

  3. 2. Evaluation and Optimization of LTE-V2X Mode 4 under Aperiodic Messages of Variable Size

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Md Mamunur Rashid; [2023]
    Nyckelord :LTE-V2X; aperiodic; variable size; CAM; Technology and Engineering;

    Sammanfattning : Vehicular networks connect vehicles for improved road safety and efficiency with the assistance of wireless information exchange. Vehicular networks are based on the frequent broadcast of awareness messages referred to as CAM (Cooperative Awareness Messages) or BSM (Basic Safety Message) in the ETSI and SAE standards, respectively. LÄS MER

  4. 3. Multi-ion radiotherapy treatment planning

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Högenergifysik

    Författare :Gustav Lidberg; [2023]
    Nyckelord :multi-ion radiotherapy; heavy-ion radiotherapy; carbon-ion radiotherapy; treatment planning; LET optimization;

    Sammanfattning : Multi-ion radiotherapy has been suggested as a new way to treat cancer, combining the radiological advantages of lighter and heavier ions in a single treatment to improve plan robustness and increase LETd in the target. To succeed, multi-ion radiotherapy requires a treatment planning system capable of computing dose for and optimising multi-ion treatment plans. LÄS MER

  5. 4. Childhood Habituation in Evolution of Augmenting Topologies (CHEAT)

    Master-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Författare :Anton Moberg; [2020]
    Nyckelord :Neuroevolution; genetic algorithm; machine learning; ML; CHEAT; Childhood Habituation in Evolution of Augmenting Topologies; optimization; artificial neural network; self evolving; model selection; Physics and Astronomy;

    Sammanfattning : Neuroevolution is a field within machine learning that applies genetic algorithms to train artificial neural networks. Neuroevolution of Augmenting Topologies (NEAT) is a method that evolves both the topology of the network and trains the weights of the network at the same time, and has been found to successfully solve reinforcement learning problems efficiently and the XOR problem with a minimal topology. LÄS MER

  7. 5. Training Bayesian Neural Networks

    Magister-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Författare :Johan Book; [2020]
    Nyckelord :artificial neural networks; ANN; convolutional neural networks; Physics and Astronomy;

    Sammanfattning : Although deep learning has made advances in a plethora of fields, ranging from financial analysis to image classification, it has some shortcomings for cases of limited data and complex models. In these cases the networks tend to be overconfident in their prediction even when erroneous - something that exposes its applications to risk. LÄS MER