Sökning: "framgångsrika nätverk"

Visar resultat 6 - 10 av 62 uppsatser innehållade orden framgångsrika nätverk.

1. 6. I'll have what he's having : can a bank increase the financial equality?

   Master-uppsats, SLU/Dept. of Forest Economics

   Författare :Cecilia Olander; [2022]
   Nyckelord :Economics; Entrepreneurs; Equality; Feminist theory; Finance; Strategy; Sustainable business models; Sustainability reporting; Sustainability strategy;

   Sammanfattning : In Sweden, women own half as much as men, in the agricultural sector only 18% of business owners are women. Women tend to be viewed as more risk-averse than men by bank officials. Research has shown that young entrepreneurs are described differently depending on their genders. LÄS MER

3. 7. Memory and Reasoning in Deep Learning : Data efficiency of the SAM-based Two-memory (STM) Model

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

   Författare :Andrzej Perzanowski; [2022]
   Nyckelord :Deep learning; Data efficiency; Memory-augmented neural networks; Memory; Reasoning; bAbI challenge; Djupinlärning; Dataeffektivitet; Minnesförstärkta nätverk; Minne; Resonemang; bAbI-utmaning;

   Sammanfattning : Developing Deep Learning models capable of learning to reason and store memories are some of the most important current challenges in AI research. Finding out which network architectures are best suited for tackling this problem can guide research toward the most promising approaches. LÄS MER

4. 8. Screw Hole Detection in Industrial Products using Neural Network based Object Detection and Image Segmentation : A Study Providing Ideas for Future Industrial Applications

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

   Författare :Jakob Melki; [2022]
   Nyckelord :Artificial intelligence AI ; Automated assembly and disassembly; Computer vision; Machine learning; Neural networks; Object detection; Screw hole detection; Semantic segmentation; Artificiell intelligens AI ; Automatiserad montering och demontering; Datorseende; Maskininlärning; Neurala nätverk; Objekt detektering; Skruvhålsdetektering; Semantisk segmentering;

   Sammanfattning : This project is about screw hole detection using neural networks for automated assembly and disassembly. In a lot of industrial companies, such as Ericsson AB, there are products such as radio units or filters that have a lot of screw holes. LÄS MER

5. 9. Spiking Reinforcement Learning for Robust Robot Control Under Varying Operating Conditions

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

   Författare :Philipp Mondorf; [2022]
   Nyckelord :;

   Sammanfattning : Over the last few years, deep reinforcement learning (RL) has gained increasing popularity for its successful application to a variety of complex control and decision-making tasks. As the demand for deep RL algorithms deployed in challenging real-world environments grows, their robustness towards uncertainty, disturbances and perturbations of the environment becomes more and more important. LÄS MER

7. 10. Transformer learning for traffic prediction in mobile networks

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

   Författare :Daniel Wass; [2021]
   Nyckelord :Transformer; Attention; LSTM; Mobile traffic prediction.; Transformer; Attention; LSTM; Prediktering av mobil nätverkstrafik.;

   Sammanfattning : The resources of mobile networks are expensive and limited, and as demand for mobile data continues to grow, improved resource utilisation is a prioritised issue. Traffic demand at base stations (BSs) vary throughout the day and week, but the capacity remains constant and utilisation could be significantly improved based on precise, robust, and efficient forecasting. LÄS MER