Geometrical Enhancements Based On Data Driven Design Decisions
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Geometrical Enhancements Based On Data Driven Design Decisions
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Author : Sourabh Mandol
language : en
Publisher: CRC Press
Release Date : 2025-06-16
Geometrical Enhancements Based On Data Driven Design Decisions written by Sourabh Mandol and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-16 with Technology & Engineering categories.
The text presents various design and modelling solutions for effective decision-making that are grounded on the basics of data analytics. It further discusses important topics such as sustainable design and data-driven design synthesis, product analytics and its role in sustainable development, and descriptive models for the geometrical evaluation of product features. This book: Familiarize the readers with the numerous decision protocols that can be utilized for deducing geometrical qualities using data-driven design analysis Offers a more comprehensive approach to multidisciplinary engineering applications using data-driven modelling and analysis Discusses multi-objective optimization for product design and development through data-driven decision-making Explains information processing and analysis through data visualization and data mining Covers artificial intelligence and machine learning-based decision models and their effective utilization across interdisciplinary applications It is primarily written for senior undergraduate, graduate students, and academic researchers in fields including industrial engineering, production engineering, manufacturing engineering, mechanical engineering, and aerospace engineering.
Geometrical Enhancements Based On Data Driven Design Decisions
DOWNLOAD
Author : Sourabh Mandol
language : en
Publisher: CRC Press
Release Date : 2025-06-16
Geometrical Enhancements Based On Data Driven Design Decisions written by Sourabh Mandol and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-16 with Technology & Engineering categories.
The text presents various design and modelling solutions for effective decision-making that are grounded on the basics of data analytics. It further discusses important topics such as sustainable design and data-driven design synthesis, product analytics and its role in sustainable development, and descriptive models for the geometrical evaluation of product features. This book: Familiarize the readers with the numerous decision protocols that can be utilized for deducing geometrical qualities using data-driven design analysis Offers a more comprehensive approach to multidisciplinary engineering applications using data-driven modelling and analysis Discusses multi-objective optimization for product design and development through data-driven decision-making Explains information processing and analysis through data visualization and data mining Covers artificial intelligence and machine learning-based decision models and their effective utilization across interdisciplinary applications It is primarily written for senior undergraduate, graduate students, and academic researchers in fields including industrial engineering, production engineering, manufacturing engineering, mechanical engineering, and aerospace engineering.
Data Driven Design And Construction
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Author : Randy Deutsch
language : en
Publisher: John Wiley & Sons
Release Date : 2015-08-27
Data Driven Design And Construction written by Randy Deutsch and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-27 with Architecture categories.
“In this comprehensive book, Professor Randy Deutsch has unlocked and laid bare the twenty-first century codice nascosto of architecture. It is data. Big data. Data as driver. . .This book offers us the chance to become informed and knowledgeable pursuers of data and the opportunities it offers to making architecture a wonderful, useful, and smart art form.” —From the Foreword by James Timberlake, FAIA Written for architects, engineers, contractors, owners, and educators, and based on today’s technology and practices, Data-Driven Design and Construction: 25 Strategies for Capturing, Applying and Analyzing Building Data addresses how innovative individuals and firms are using data to remain competitive while advancing their practices. seeks to address and rectify a gap in our learning, by explaining to architects, engineers, contractors and owners—and students of these fields—how to acquire and use data to make more informed decisions. documents how data-driven design is the new frontier of the convergence between BIM and architectural computational analyses and associated tools. is a book of adaptable strategies you and your organization can apply today to make the most of the data you have at your fingertips. Data-Driven Design and Construction was written to help design practitioners and their project teams make better use of BIM, and leverage data throughout the building lifecycle.
Artificial Intelligence In Performance Driven Design
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Author : Narjes Abbasabadi
language : en
Publisher: John Wiley & Sons
Release Date : 2024-04-17
Artificial Intelligence In Performance Driven Design written by Narjes Abbasabadi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-17 with Architecture categories.
ARTIFICIAL INTELLIGENCE IN PERFORMANCE-DRIVEN DESIGN A definitive, interdisciplinary reference to using artificial intelligence technology and data-driven methodologies for sustainable design Artificial Intelligence in Performance-Driven Design: Theories, Methods, and Tools explores the application of artificial intelligence (AI), specifically machine learning (ML), for performance modeling within the built environment. This work develops the theoretical foundations and methodological frameworks for utilizing AI/ML, with an emphasis on multi-scale modeling encompassing energy flows, environmental quality, and human systems. The book examines relevant practices, case studies, and computational tools that harness AI’s capabilities in modeling frameworks, enhancing the efficiency, accuracy, and integration of physics-based simulation, optimization, and automation processes. Furthermore, it highlights the integration of intelligent systems and digital twins throughout the lifecycle of the built environment, to enhance our understanding and management of these complex environments. This book also: Incorporates emerging technologies into practical ideas to improve performance analysis and sustainable design Presents data-driven methodologies and technologies that integrate into modeling and design platforms Shares valuable insights and tools for developing decarbonization pathways in urban buildings Includes contributions from expert researchers and educators across a range of related fields Artificial Intelligence in Performance-Driven Design is ideal for architects, engineers, planners, and researchers involved in sustainable design and the built environment. It’s also of interest to students of architecture, building science and technology, urban design and planning, environmental engineering, and computer science and engineering.
The Disruptors
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Author : Dennis R. Shelden
language : en
Publisher: John Wiley & Sons
Release Date : 2020-06-08
The Disruptors written by Dennis R. Shelden and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-08 with Architecture categories.
Technology-driven disruption and entrepreneurial response have become profound drivers of change in modern culture. Wholly new organisations have rapidly emerged in many fields including retail, print media and transportation, often dramatically altering both the products and processes that define these industries. Architecture has until now been minimally impacted by this technologically driven upheaval. But there are many signs that this period of tranquillity is ending. Startups are proliferating, targeting diverse innovations from environmental performance to large-scale 3D printing. Traditional architecture and engineering firms are creating incubators and spin-offs to capitalise on their innovations. Large and innovative organisations from outside the professions are becoming interested in the built environment as the next platform for technological and economic disruption. These new directions for the discipline will potentially create radically new types of practice, new building typologies, and new ways for both design professionals and societies to engage with the built environment. It is crucial that architectural discourse addresses these possibilities, and begins to embrace technology-driven entrepreneurship as a central theme for the future of architectural practice. Contributors: Sandeep Ahuja, Ben van Berkel, Phil Bernstein, Helen Castle, James Cramer and Scott Simpson, Craig Curtis, David Fano and Daniel Davis, Greg Lynn, Jessica Rosenkrantz and Jesse Louis-Rosenberg, Brad Samuels, Marc Simmons, Jared Della Valle, and Philip F Yuan and Chao Yan. Featured architects: Archi-Union, Ayre Chamberlain Gaunt, Bryden Wood, Gehry Partners, Front, Greg Lynn FORM, Millar Howard Workshop, Nervous System, SITU, and UNStudio.
Proceedings Of The 15th International Marine Design Conference
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Author : Austin A. Kana
language : en
Publisher: TU Delft OPEN Publishing
Release Date : 2024-08-22
Proceedings Of The 15th International Marine Design Conference written by Austin A. Kana and has been published by TU Delft OPEN Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-22 with Technology & Engineering categories.
The 15th International Marine Design Conference (IMDC-2024) was organized by the Department of Maritime and Transport Technology, Delft University of Technology, and was hosted by the Netherlands Defence Materiel Organisation at the Marine Etablissement Amsterdam (MEA). The aim of the IMDC is to promote all aspects of marine design as an engineering discipline. The focus of IMDC-2024 is on the key design challenges and opportunities in the maritime field with special emphasis on the following themes. Ship design methodology issues such as: design spiral, systems engineering, set-based design, design optimisation, concurrent design, modular design, configuration based design, or 'fuzzy' design aspects. Novel marine design concepts, such as: hull form design, transport ships, service vessels, naval vessels, yachts and cruise ships, or specialized and complex vessels. Offshore design methodology, such as applications to: offshore wind turbines, semi-submersibles, floating fish farms, or floating cities. Influence of energy transition on maritime design, including both zero emission and high power and energy systems. Influence of unmanned and autonomous transition on maritime design. Influence of digital transition on maritime design, such as: digital shadows and twins, model-based systems engineering, AI, ML and big data. Influence of regulations on maritime design. Maritime design education
Ai In Structural Engineering
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Author : DR. G. Chennakesava Reddy
language : en
Publisher: AQUA PUBLICATIONS
Release Date :
Ai In Structural Engineering written by DR. G. Chennakesava Reddy and has been published by AQUA PUBLICATIONS this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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Data Driven Analytics For Sustainable Buildings And Cities
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Author : Xingxing Zhang
language : en
Publisher: Springer Nature
Release Date : 2021-09-11
Data Driven Analytics For Sustainable Buildings And Cities written by Xingxing Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-11 with Social Science categories.
This book explores the interdisciplinary and transdisciplinary fields of energy systems, occupant behavior, thermal comfort, air quality and economic modelling across levels of building, communities and cities, through various data analytical approaches. It highlights the complex interplay of heating/cooling, ventilation and power systems in different processes, such as design, renovation and operation, for buildings, communities and cities. Methods from classical statistics, machine learning and artificial intelligence are applied into analyses for different building/urban components and systems. Knowledge from this book assists to accelerate sustainability of the society, which would contribute to a prospective improvement through data analysis in the liveability of both built and urban environment. This book targets a broad readership with specific experience and knowledge in data analysis, energy system, built environment and urban planning. As such, it appeals to researchers, graduate students, data scientists, engineers, consultants, urban scientists, investors and policymakers, with interests in energy flexibility, building/city resilience and climate neutrality.
Data Driven Decision Support System In Intelligent Healthcare
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Author : Debnath Bhattacharyya
language : en
Publisher: CRC Press
Release Date : 2025-08-12
Data Driven Decision Support System In Intelligent Healthcare written by Debnath Bhattacharyya and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-12 with Computers categories.
Machine Intelligence with Generative AI is one of the most trending topics with applications in almost all fields of life. In healthcare, it is not only accelerating the development of new products, but also automating the generation of new and synthetic content making it easier to train and improve machine learning models. Some of the biggest achievements of Generative AI in healthcare have been drug discovery, personalized care, differentially private synthetic data generation, operational efficiency, and many more. Generative AI models like Generative Adversarial Networks, and Variational Autoencoders are employed to generate synthetic medical images, aiding in data augmentation, facilitating disease diagnosis, and enabling advanced medical imaging research. Additionally, Generative AI techniques are being utilized for creating realistic electronic health records (EHRs) and simulated patient data, supporting privacy-preserving data sharing, and empowering innovative studies for personalized medicine and drug development. NLP models like ClinicalBERT use transformer-based deep learning architecture to understand and represent contextual information in large clinical text datasets, such as electronic health records (EHRs) and medical literature, and can better grasp medical terminologies, domain-specific language, and contextual nuances that are unique to the healthcare field. This volume delves into the realm of Machine Intelligence with Generative AI and explores its impact on the healthcare industry.
Applications Of Artificial Intelligence Ai And Machine Learning Ml In The Petroleum Industry
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Author : Manan Shah
language : en
Publisher: CRC Press
Release Date : 2022-09-02
Applications Of Artificial Intelligence Ai And Machine Learning Ml In The Petroleum Industry written by Manan Shah and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-02 with Technology & Engineering categories.
Today, raw data on any industry is widely available. With the help of artificial intelligence (AI) and machine learning (ML), this data can be used to gain meaningful insights. In addition, as data is the new raw material for today’s world, AI and ML will be applied in every industrial sector. Industry 4.0 mainly focuses on the automation of things. From that perspective, the oil and gas industry is one of the largest industries in terms of economy and energy. Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry analyzes the use of AI and ML in the oil and gas industry across all three sectors, namely upstream, midstream, and downstream. It covers every aspect of the petroleum industry as related to the application of AI and ML, ranging from exploration, data management, extraction, processing, real-time data analysis, monitoring, cloud-based connectivity system, and conditions analysis, to the final delivery of the product to the end customer, while taking into account the incorporation of the safety measures for a better operation and the efficient and effective execution of operations. This book explores the variety of applications that can be integrated to support the existing petroleum and adjacent sectors to solve industry problems. It will serve as a useful guide for professionals working in the petroleum industry, industrial engineers, AI and ML experts and researchers, as well as students.