Essays about: "Assessing training"

Showing result 6 - 10 of 64 essays containing the words Assessing training.

1. 6. Software Fault Detection in Telecom Networks using Bi-level Federated Graph Neural Networks

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

   Author : Rémi Bourgerie; [2023]
   Keywords : 5G 4G; Federated Learning; Graoh Learning; Graph-based Federated Learning; Temporal Graph Neural Networks; Time Series; Anomaly Detection; Fault Detection; 5G 4G; Federerat lärande; Graf lärande; Grafbaserat federerat lärande; Temporal Graph Neural Networks; Tidsserier; Upptäckt av anomalier; Upptäckt av fel;

   Abstract : The increasing complexity of telecom networks, induced by the recent development of 5G, is a challenge for detecting faults in the telecom network. In addition to the structural complexity of telecommunication systems, data accessibility has become an issue both in terms of privacy and access cost. READ MORE

3. 7. Mapping of feeding strategies in Swedish riding schools with different housing systems and its impact on horse health and body condition

   University essay from SLU/Dept. of Animal Environment and Health

   Author : Jasmine Lindholm; [2023]
   Keywords : riding school; horse; housing system; feeding strategies; horse health; body condition scoring; group housing of horses; individual housing of horses;

   Abstract : With around 500 riding schools, equestrian sport is one of Sweden’s largest sports organisations and the second largest youth sport. Horses are traditionally held in individual boxes but can also be kept in groups, so-called group housing. READ MORE

4. 8. Remembering how to walk - Using Active Dendrite Networks to Drive Physical Animations

   University essay from Umeå universitet/Institutionen för fysik

   Author : Klas Henriksson; [2023]
   Keywords : reinforcement learning; deep learning; physical animation; deep reinforcement learning; multi-task learning; multi-task reinforcement learning; machine learning; neural networks;

   Abstract : Creating embodied agents capable of performing a wide range of tasks in different types of environments has been a longstanding challenge in deep reinforcement learning. A novel network architecture introduced in 2021 called the Active Dendrite Network [A. Iyer et al. READ MORE

5. 9. A Comprehensive study on Federated Learning frameworks : Assessing Performance, Scalability, and Benchmarking with Deep Learning Model

   University essay from Högskolan i Skövde/Institutionen för informationsteknologi

   Author : Riyas Hamsath Mohammed Khan; [2023]
   Keywords : Machine Learning; Federated Learning; Flower; FedN; FedML; Decentralised AI;

   Abstract : Federated Learning now a days has emerged as a promising standard for machine learning model training, which can be executed collaboratively on decentralized data sources. As the adoption of Federated Learning grows, the selection of the apt frame work for our use case has become more important. READ MORE

6. 10. Unsupervised Anomaly Detection in Multivariate Time Series Using Variational Autoencoders

   University essay from Lunds universitet/Matematik LTH

   Author : Elias Aronsson; [2023]
   Keywords : Anomaly Detection; Variational Autoencoder VAE ; Unsupervised Learning; Machine learning; AI; Technology and Engineering;

   Abstract : In this master’s thesis, a novel unsupervised anomaly detection tool was developed in collaboration with Sandvik Rock Processing to assist engineers and experts in analyzing large amounts of sensor data from cone crushers used in the stone crushing industry. The tool focuses on analyzing power, pressure, and CSS sensor data. READ MORE