Essays about: "Lärande i nätverk"

Showing result 11 - 15 of 82 essays containing the words Lärande i nätverk.

1. 11. Link Adaptation in 5G Networks : Reinforcement Learning Framework based Approach

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Siva Satya Sri Ganesh Seeram; [2022]
   Keywords : Link Adaptation; OLLA; AMC; Reinforcement Learning; DDPG; BLER; Länkanpassning; OLLA; AMC; förstärkningsinlärning; DDPG; BLER;

   Abstract : Link Adaptation is a core feature introduced in gNodeB (gNB) for Adaptive Modulation and Coding (AMC) scheme in new generation cellular networks. The main purpose of this is to correct the estimated Signal-to-Interference-plus-Noise ratio (SINR) at gNB and select the appropriate Modulation and Coding Scheme (MCS) so the User Equipment (UE) can decode the data successfully. READ MORE

3. 12. Data-Driven Motion Planning : With Application for Heavy Duty Vehicles

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

   Abstract : 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. READ MORE

4. 13. Improving Training of Differentiable Neural Computers on Time Series

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Isak Persson; [2022]
   Keywords : Memory augmented neural networks; Differentiable neural computers; Recurrent neural networks; Time series; Transfer learning; Minnesförstärkta neurala nätverk; Differentierbara neurala datorer; Återkommande neurala nätverk; Tidsserier; Överföra lärande;

   Abstract : Memory Augmented Neural Networks (MANN) is a hot research area within deep learning. One of the most promising MANN is the Differentiable Neural Network (DNC) which is able to learn, in a fully differentiable way, how to represent and store data into an external memory. READ MORE

5. 14. Privacy leaks from deep linear networks : Information leak via shared gradients in federated learning systems

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Guangze Shi; [2022]
   Keywords : Federated learning; Gradient share; Deep neural network; Information leak; Privacy and security; Maskininlärning med flera noder; Gradientdelning; Djupt neuralt nätverk; Informationsläcka; Integritetssäkerhet;

   Abstract : The field of Artificial Intelligence (AI) has always faced two major challenges. The first is that data is kept scattered and cannot be collected for more efficiently use. The second is that data privacy and security need to be continuously strengthened. READ MORE

6. 15. Early Anomaly Detection in Electrical Bushings Manufacturing at Hitachi Energy

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Felipe Quintero Suárez; [2022]
   Keywords : Machine Learning; anomaly detection; manufacturing process.; Maskininlärning; avvikelsedetektering; tillverkningsprocess.;

   Abstract : The manufacturing of electrical bushings for high voltages is complicated and highly demanding technology-wise. This process has more than 10 steps where a single mistake in the chain could cause a complete failure of the final product. A faulty bushing represents high costs to the company both economically and in terms of public image. READ MORE