Provides an introduction to precision engineering for manufacturing. This book places emphasis on design and performance ...
Lee masThe fields of similarity and preference are still broadening due to the exploration of new fields of application. This is ...
Lee masThis book helps the reader to understand the physics and chemistry and the capabilities of PTP and TSP. It provides an overview ...
Lee masOne of the key open questions within arti?cial intelligence is how to combine probability and logic with learning. This question ...
Lee masSoils and rocks are among the most variable of all engineering materials, and as such are highly amenable to a probabilistic ...
Lee masProbabilistic and Randomized Methods for Design under Uncertainty examines uncertain systems in control engineering and general ...
Lee masThis book constitutes the thoroughly refereed postproceedings of the 4th International Workshop on Programming Multi-Agent ...
Lee masThis book provides a basic overview over the relevant metrological concepts like traceability, ISO uncertainties or cause-and-effect ...
Lee masPresentations cover, in largely non-technical language, the principal physical and biological aspects of radiation treatment ...
Lee masRandom effects and latent variable models are broadly used in analyses of multivariate data. These models can accommodate ...
Lee masThe book provides an in-depth and uniform treatment of a mathematical model for reasoning robotic agents. The book also contains ...
Lee masThe present book is a festschrift in honor of Luigia Carlucci Aiello. The 18 articles included are written by former students, ...
Lee masincludes contributions on the protection, and restoration of architectural monuments and the reconstruction of major historical ...
Lee masReliability-based Structural Design provides readers with an understanding of the fundamentals and applications of structural ...
Lee masThe papers in this volume integrate results from current research efforts in earthquake engineering with research from the ...
Lee masTwo-stage stochastic optimization is a useful tool for making optimal decisions under uncertainty. Frederike Neise describes ...
Lee masRisk management is a process to assist in the decision-making. The risk management process takes the potential hazards as ...
Lee masThis book brings together the fields of robot spatial mapping and cognitive spatial mapping, Robot spatial mapping, in this ...
Lee masRecently, there has been enormous practical interest in strategies for applying optimization tools to the development of ...
Lee masThis book constitutes the refereed proceedings of the First International Conference on Scalable Uncertainty Management, ...
Lee mas