Sökning: "Network architecture and design"
Visar resultat 1 - 5 av 172 avhandlingar innehållade orden Network architecture and design.
1. Realtime & Development - modes of knowing design computation in architectural practice
Sammanfattning : This thesis examines theoretical, methodological and organisational implications of design computation for architectural practice - from an insider perspective. It also proposes a conceptual model for knowing within this practice, in an approach that interrelates theory and actionable knowledge. LÄS MER
2. Health-Promotive Building Design - Exploring perspectives on building design for health promotion in healthcare settings
Sammanfattning : This thesis explores perspectives on health promotion in healthcare settings from a building design perspective, i.e., health-promotive building design (HPBD). LÄS MER
3. An Inquiry into the Re-Creative Workings of the Unheimliche in Interior Architecture
Sammanfattning : Often left unspecified in architectural discourse, the unheimliche (or the uncanny) emerges as a puzzling concept that operates in various disciplines throughout history and geography. The unheimliche concept continuously moves between disciplines, minds, periods and places. LÄS MER
4. Arkitekturens territorialitet : till en diskussion om territoriell makt och gestaltning i stadens offentliga rum
Sammanfattning : The point of departure of this dissertation is a consideration of the problems in the field of architecture, of conceptualizing and addressing aspects of the complex relationship between architectural form and use. The aim of the thesis is to create conditions for a discussion on architectural design and territorial power relations within the context of everyday life, and more specifically to investigate what role architectural design plays in these territorial power relations. LÄS MER
5. Neural Network Architecture Design : Towards Low-complexity and Scalable Solutions
Sammanfattning : Over the past few years, deep neural networks have been at the center of attention in machine learning literature thanks to the advances in computational capabilities of modern graphical processing units (GPUs). This progress has made it possible to train large scale neural networks by using thousands, and even millions, of training samples to achieve outstanding estimation accuracy in various applications that were not simply possible before. LÄS MER