Machine Learning-based Prediction of Missing Parts for Assembly PDF Download

Author: Fabian Steinberg
Publisher: Springer Nature
ISBN: 3658450339
Category :
Languages : en
Pages : 174

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Author: Kumar Selvarajoo
Publisher: Springer Nature
ISBN: 1071626175
Category : Science
Languages : en
Pages : 457

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Book Description
This volume provides protocols for computational, statistical, and machine learning methods that are mainly applied to the study of metabolic engineering, synthetic biology, and disease applications. These techniques support the latest progress in cross-disciplinary research that integrates the different scales of biological complexity. The topics covered in this book are geared toward researchers with a background in engineering, computational analytical, and modeling experience and cover a broad range of topics in computational and machine learning approaches. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Comprehensive and practical, Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology is a valuable resource for any researcher or scientist who wants to learn more about the latest computational methods and how they are applied toward the understanding and prediction of complex biology.

Author: Pradeep Kumar Jha
Publisher: Springer Nature
ISBN: 9819770947
Category :
Languages : en
Pages : 407

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Author: Schahram Dustdar
Publisher: Springer Nature
ISBN: 303064846X
Category : Computers
Languages : en
Pages : 209

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This book constitutes the refereed proceedings of the 14th Symposium and Summer School on Service-Oriented Computing, SummerSOC 2020, held in Crete, Greece, in September 2020.* The 9 full and 2 short papers were carefully reviewed and selected from 23 submissions. The papers mainly focus on IoT and cyber-physical systems, advanced application areas, cloud and edge, and service-based applications. *The conference was held virtually due to the COVID-19 pandemic.

Author: Mostafa Al-Emran
Publisher: Springer Nature
ISBN: 3031147480
Category : Technology & Engineering
Languages : en
Pages : 387

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This book tackles the recent research trends on the role of AI in advancing automotive manufacturing, augmented reality, sustainable development in smart cities, telemedicine, and robotics. It sheds light on the recent AI innovations in classical machine learning, deep learning, Internet of Things (IoT), Blockchain, knowledge representation, knowledge management, big data, and natural language processing (NLP). The edited book covers empirical and reviews studies that primarily concentrate on the aforementioned issues, which would assist scholars in pursuing future research in the domain and identifying the possible future developments of AI applications.

Author: Gurminder Singh
Publisher: Elsevier
ISBN: 0443221464
Category : Technology & Engineering
Languages : en
Pages : 291

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Book Description
Machine Learning for Powder-based Metal Additive Manufacturing outlines machine learning (ML) methods for additive manufacturing (AM) of metals that will improve product quality, optimize manufacturing processes, and reduce costs. The book combines ML and AM methods to develop intelligent models that train AM techniques in pre-processing, process optimization, and post-processing for optimized microstructure, tensile and fatigue properties, and biocompatibility for various applications. The book covers ML for design in AM, ML for materials development and intelligent monitoring in metal AM, both geometrical deviation and physics informed machine learning modeling, as well as data-driven cost estimation by ML. In addition, optimization for slicing and orientation, ML to create models of materials for AM processes, ML prediction for better mechanical and microstructure prediction, and feature extraction by sensing data are all covered, and each chapter includes a case study. - Covers machine learning (ML) methods for additive manufacturing (AM) of metals that will improve product quality, optimize manufacturing processes, and reduce costs - Combines ML and AM methods to develop intelligent models that train AM techniques in pre-processing, process optimization, and post-processing for optimized microstructure, tensile and fatigue properties, and biocompatibility for various applications - Discusses algorithm development of ML for metal AM, metal AM process modeling and optimization, mathematical and simulation studies of metal AM, and pre- and post-processing smart methods for metal AM

Author: Matthias Thürer
Publisher: Springer Nature
ISBN: 3031658949
Category :
Languages : en
Pages : 508

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Author: Yongjun Wei
Publisher: Elsevier
ISBN: 0443155593
Category : Science
Languages : en
Pages : 383

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Book Description
Many plant-derived bioactive compounds are the foundation effective drugs to cure diseases. Usually, the bioactive compounds in plant biomass are low, and the extraction of bioactive compounds from plants is not eco-friendly, which limits their application in drugs and other industries. With the development of synthetic biology and green biomanufacturing, the biosynthesis of complex bioactive compounds is possible. However, the engineering fundamentals for microbial biosynthetic of plant-derived bioactive compounds is vast. Engineering biology for microbial biosynthesis of plant-derived bioactive compounds summarizes the engineering fundamental biotechnologies for microbial production of plant-derived bioactive compounds, allowing this content to be easily accessed. Coverage includes summaries of key achievements, identification of challenges, current approaches, tips and tricks, and helpful insights into critical bottlenecks. With a comprehensive coverage of the field, Engineering biology for microbial biosynthesis of plant-derived bioactive compounds is of great interest to undergraduate and graduate students, scientists, researchers as well as engineers who work on the microbial production of plant-derived bioactive compounds. - Provides valuable information for engineers, scientists, and industrial researchers who want to obtain microbial strains with the ability of plant-derived bioactive compound production - Guides microbial production of plant-derived bioactive compounds at the laboratory and industrial levels - Ideal resource for anyone who works on the microbial production of plant-derived bioactive compounds

Author: Balázs Illés
Publisher: Elsevier
ISBN: 0128185066
Category : Technology & Engineering
Languages : en
Pages : 295

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Book Description
Reflow Soldering: Apparatus and Heat Transfer Processes investigates the technology of reflow soldering from the aspect of the soldering ovens and apparatus. The authors begin by introducing the concept of surface mount technology. This is followed by three chapters exploring: Infrared ovens, convection ovens, Vapor Phase Soldering (VPS), and special reflow ovens. Each of these chapters includes a discussion of the physical background, structure and working principle, and characterization of the heating, flow and vapor parameters; and concludes with a review of the application of the techniques and typical solder failures. The book concludes with a discussion of the various numerical simulations of the different ovens. This book will be useful for researchers and process and quality and research and design engineers within the electronics and manufacturing industries. - Provides an overview and comparison of the existing reflow apparatus, heating methods, and working principles - Analyses and compares the different reflow ovens - Discusses useful tools such as characterization and measurement methods and includes numerical case studies to assist in solving soldering problems and improve soldering quality - Introduces Vapor Phase Soldering (VPS) technology

Author: Quan Zou
Publisher: Frontiers Media SA
ISBN: 2889766322
Category : Science
Languages : en
Pages : 264

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