Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book summarizes work being undertaken within the collaborative MODAClouds research project, which aims to facilitate interoperability between heterogeneous Cloud platforms and remove the constraints of deployment, portability, and reversibility for end users of Cloud services. Experts involved in the project provide a clear overview of the MODAClouds approach and explain how it operates in a variety of applications.While the wide spectrum of available Clouds constitutes a vibrant technical environment, many early-stage issues pose specific challenges from a software engineering perspective. MODAClouds will provide methods, a decision support system, and an open source IDE and run-time environment for the high-level design, early prototyping, semiautomatic code generation, and automatic deployment of applications on multiple Clouds. It will free developers from the need to commit to a fixed Cloud technology stack during software design and offer benefits in terms of cost savings, portability of applications and data between Clouds, reversibility (moving applications and data from Cloud to non-Cloud environments), risk management, quality assurance, and flexibility in the development process.

Communications Engineering, Networks --- Computer Communication Networks --- Software Engineering --- Computational Intelligence

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This open access book summarizes research being pursued within the Manutelligence project, the goal of which is to help enterprises develop smart, social and flexible products with high value added services. Manutelligence has improved Product and Service Design by developing suitable models and methods, and connecting them through a modular, collaborative and secure ICT Platform. The use of real data collected in real time by Internet of Things (IoT) technologies underpins the design of product-service systems and makes it possible to monitor them throughout their life cycle. Available data allows costs and sustainability issues to be more accurately measured and simulated in the form of Life Cycle Cost (LCC) and Life Cycle Assessment (LCA). Analysing data from IoT systems and sharing LCC and LCA information via the ICT Platform can help to accelerate the design of product-service systems, reduce costs and better understand customer needs. Industrial partners involved in Manutelligence provide a clear overview of the project’s outcomes, and demonstrate how its technological solutions can be used to improve the design of product-service systems and the management of product-service life cycles.

Engineering --- Manufactures --- Computational intelligence --- Artificial intelligence --- Service industries

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This open access handbook presents a trustable craniofacial superimposition methodological framework. It includes detailed technical and practical overviews, and discussions about the latest tools and open problems, covering the educational, technical, ethical, and security aspects of this forensic identification technique. The book will be of particular interest to researchers and practitioners in forensic anthropology and forensic ID, and also researchers in computational intelligence. It is the final result of a European project, New Methodologies and Protocols of Forensic Identification by Craniofacial Superimposition (MEPROCS). The project collaborators who contributed to this handbook are: S. Damas, O. Ibáñez, M.I. Huete, T. Kahana, C. Wilkinson, E. Ferguson, C. Erolin, C. Cattaneo, P.T. Jayaprakash, R. Jankauskas, F. Cavalli, K. Imaizumi, R. Vicente, D. Navega, E. Cunha, A.H. Ross, E. Veselovskaya, A. Abramov, P. Lestón, F. Molinero, E. Ruiz, F. Navarro, J. Cardoso, F. Viegas, D. Humpire, R. Hardiman, J. Clement, A. Valsecchi, B.R. Campomanes-Alvarez, C. Campomanes-Alvarez, A.S. Çağdır, T. Briers, M. Steyn, M. Viniero, D.N. Vieira, and O. Cordón. ; Authors among leading researchers and practitioners worldwide Reports successful collaborative project results First comprehensive guide on this important technique Open Access

Computer science --- Artificial intelligence --- Forensic medicine --- Computational intelligence --- Forensic science --- Health informatics

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This open access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains selected papers from the fifth international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Berlin, March 12-13, 2020. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.

Cyber-physical systems, IoT --- Communications Engineering, Networks --- Computer Systems Organization and Communication Networks --- Cyber-Physical Systems --- Computer Engineering and Networks --- Machine Learning --- Artificial Intelligence --- Cognitive Robotics --- Internet of Things --- Computational intelligence --- Computer-based algorithms --- Smart grid --- Open Access --- Industry 4.0 --- Electrical engineering --- Cybernetics & systems theory --- Communications engineering / telecommunications --- Computer networking & communications

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This Special Issue of Processes operates on the basis of a rigorous peer-review with a single-blind assessment and at least two independent reviewers, thereby ensuring a high quality final product. I would like to thank our reviewers, for providing the authors with constructive comments, and Editorial Board, for their professional advice that led to the final decision. I am sure that, in coming years, readers of this Special Issue will find the scientific manuscripts interesting and beneficial to their research.

water friction loss --- three-dimensional temperature field --- numerical simulation --- canned motor --- computational fluid dynamics (CFD) --- ice storage --- finned tube --- natural convection --- visualization experiment --- numerical simulation --- boiling --- computational intelligence techniques --- heat flux --- optimization --- plate-fin heat sink --- partial heating --- forced convection --- multi-slip --- Keller-Box technique --- casson fluid --- thermo-diffusion --- axisymmetric flow --- natural convection --- flat plate --- aspect ratio --- orientation --- vertical --- horizontal --- plate heat exchanger --- numerical simulation --- phase change --- multiphase flow --- heat transfer --- axial piston pump --- RNG k-? model --- flow distribution characteristics --- PIV measurements --- viscosity --- crystallization --- ice-cream --- modelling --- scraped surface heat exchanger --- HEN synthesis --- CACRS --- operating condition --- MINLP --- optimization --- n/a