Sökning: "network optimization."
Visar resultat 16 - 20 av 562 uppsatser innehållade orden network optimization..
16. Design of a grating lobe mitigated antenna array architecture integrated with low loss PCB filtering structures
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Massive multiple input multiple output - MIMO systems are a reality and modern communication systems rely upon this technology to cope with the increasing need for capacity and network usage. Antenna arrays are at the heart of the of the massive-MIMO system and are the enabling technology. LÄS MER
17. Optimizing the Performance and Efficiency of District Heating Substations : A Study of the Cooling Process and Overall System Improvements in Ludvika
Kandidat-uppsats, Högskolan Dalarna/Institutionen för information och teknikSammanfattning : The concept of future sustainability is driving efforts toward the efficient improvement of energy systems. District heating systems play a key role in balancing the energy system by improving performance and flexibility. LÄS MER
18. Digital Front End Algorithms for Sub-Band Full Duplex
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Sub-band full duplex is a new communication scheme technology, where a single frequency band is partitioned into sub-bands for downlink (DL) and up-link(UL) transmissions, and both can take place simultaneously. The idea behind the sub-band full duplex development is to improve the throughput, and coverage and reduce the latency of the UL communication by allowing the UL reception during the DL transmission. LÄS MER
19. Causal Discovery for Time Series : Based on Continuous Optimization
Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : Causal discovery is an important field of study that seeks to understand the underlying relationships between variables in a system. The goal of causal discovery is to discover the causal relationships from observational data and determine the direction of influence between variables. LÄS MER
20. On Linear Mode Connectivity up to Permutation of Hidden Neurons in Neural Network : When does Weight Averaging work?
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Neural networks trained using gradient-based optimization methods exhibit a surprising phenomenon known as mode connectivity, where two independently trained network weights are not isolated low loss minima in the parameter space. Instead, they can be connected by simple curves along which the loss remains low. LÄS MER