02070oam 2200529I 450 991070382460332120160322122320.0(CKB)5470000002435488(OCoLC)918988273(EXLCZ)99547000000243548820150820d2015 ua 0engurcn|||||||||txtrdacontentcrdamediacrrdacarrierA fully nonmetallic gas turbine engine enabled by additive manufacturing /Joseph E. Grady [and 18 others]Cleveland, Ohio :National Aeronautics and Space Administration, Glenn Research Center,2015.1 online resource (3 volumes) color illustrationsNASA/TM ;2015-218748, 2015-218749, 2015-218892Title from title screen (viewed on Aug. 20, 2015)."May 2015.""June 2015.""December 2015."Includes bibliographical references.pt. I. System analysis, component identification, additive manufacturing, and testing of polymer composites. -- pt. II. Additive manufacturing and characterization of polymer composites. -- pt. III. Additive manufacturing and characterization of ceramic composites.Additive manufacturingnasatCarbon fibersnasatCeramic matrix compositesnasatGas turbine enginesnasatHoneycomb structuresnasatPolymer matrix compositesnasatAdditive manufacturing.Carbon fibers.Ceramic matrix composites.Gas turbine engines.Honeycomb structures.Polymer matrix composites.Grady Joseph E.96767NASA Glenn Research Center,GPOGPOGPOBOOK9910703824603321A fully nonmetallic gas turbine engine enabled by additive manufacturing3457810UNINA06344nam 22006735 450 991090837430332120250808090222.09783031693366(electronic bk.)978303169335910.1007/978-3-031-69336-6(MiAaPQ)EBC31784482(Au-PeEL)EBL31784482(CKB)36590260200041(OCoLC)1472148631(DE-He213)978-3-031-69336-6(EXLCZ)993659026020004120241115d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierSoft Computing in Industry 5.0 for Sustainability /edited by C Kishor Kumar Reddy, Thandiwe Sithole, Mariya Ouaissa, Özen ÖZER, Marlia M. Hanafiah1st ed. 2024.Cham :Springer Nature Switzerland :Imprint: Springer,2024.1 online resource (410 pages)Print version: Reddy, C. Kishor Kumar Soft Computing in Industry 5. 0 for Sustainability Cham : Springer,c2024 9783031693359 Chapter 1: Shaping Industry 4.0 And 5.0 Landscapes by Navigating Technological Shifts With Soft Computing Expertise -- Chapter 2: Role of soft computing in Industry 4.0 and 5.0 -- Chapter 3: The Evolution of Soft Computing: Industry 5.0 and It’s Challenges -- Chapter 4: Human-Centric AI Balancing Innovation with Ethical Considerations in the Age of Soft Computing -- Chapter 5: Navigating Data Privacy in Industry 5.0: Advanced Strategies for Sustainability -- Chapter 6: Design of AAA-Bot for Healthcare Assistance in COVID-19 Pandemic -- Chapter 7: A Comparative Exploration of Transfer Learning's Impact on ECG-Based Heart Disease Prediction -- Chapter 8: Convergence of AI techniques in enabling sustainability practices for Industry 5.0 -- Chapter 9: Soft Computing Applications in Sustainable Manufacturing -- Chapter 10: Automated Spam Detection using ECSA based Feature Selection with BGRN Classifier in Soft Computing Applications -- Chapter 11: Secure and Trustworthy Energy Trading using Decentralized Blockchain based Resilient Solutions -- Chapter 12: Wildfire Decision Management Using Soft Computing in a System of Systems Approach -- Chapter 13: Tourism Companion: Enhancing Travel Experiences with AI Chatbot and Softcomputing -- Chapter 14: An approach towards Abstractive Text Summarization for Urdu Language using LLM (ATSUL) -- Chapter 15: Securing Healthcare 5.0: Zero Proof Knowledge (ZKP) and Post Quantum Cryptography (PQC) Solutions for Medical Data Security -- Chapter 16: Digital Twins for Healthcare in Industry 5.0: Fundamentals, Pharmaceutical Manufacturing Applications, Diagnostic Precision, Digital Patient Innovations, and Drug Discovery Impact -- Chapter 17: Blockchain Based Security Sustainable Framework for IoMT Applications and Industry 5.0.Soft computing and Industry 5.0 are two distinct concepts that, when combined, can have a significant impact on sustainability initiatives within various industries. Soft computing is a subfield of artificial intelligence (AI) that aims to address problems characterized by uncertainty, imprecision, and partial truth. It encompasses various computational techniques, such as fuzzy logic, neural networks, genetic algorithms, and machine learning, which enable machines to deal with complex and uncertain data in a more human-like manner. Soft computing techniques are particularly valuable in sustainability efforts because they can handle non-linear relationships and uncertain data that often arise in environmental and social contexts. For example, they can be used to optimize energy consumption, waste management, and resource allocation in industries by considering various factors and trade-offs. The book highlights the latest innovations in intelligent systems in classical machine learning, deep learning, Internet of Things (IoT), Industrial Internet of Things (IIoT), blockchain, knowledge representation, knowledge management, big data, and natural language processing. (NLP). The book contains many contemporary articles from both scientists and practitioners working in many fields where soft computing, intelligent systems and the IIoT can break new ground. Intelligent systems and the Internet of Things are now essential technologies in almost every field. From agriculture to industry to healthcare, the scope of smart systems and IIoT is as wide as the horizon. Nowadays, these technologies are extensively used in developed countries, but they are still at an early stage in emerging countries. The primary market of this book is senior undergraduate students, post graduate students, practitioners, researchers, academicians, industrialists, and professionals working in areas of core computer science, electrical engineering, mechanical engineering, environmental engineering and agricultural engineering. The secondary audience of this book is individuals working in the areas of manufacturing, agriculture, remote sensing, environmental engineering, health care, smart cities, smart farming, remote sensing, supply chain management and hydrology.Computational intelligenceSustainabilityIndustrial engineeringProduction engineeringBusiness logisticsComputational IntelligenceSustainabilityIndustrial and Production EngineeringSupply Chain ManagementComputational intelligence.Sustainability.Industrial engineering.Production engineering.Business logistics.Computational Intelligence.Sustainability.Industrial and Production Engineering.Supply Chain Management.338.06402863Reddy C. Kishor Kumar1775391Sithole Thandiwe1775392Ouaissa Mariya1380452ÖZER Özen1775393Hanafiah Marlia M1775394MiAaPQMiAaPQMiAaPQ9910908374303321Soft Computing in Industry 5.0 for Sustainability4430236UNINA