http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Soft computing in smart manufacturing and materials
1 online resource (xxii, 277 pages) : illustrations (some color)
Soft Computing in Smart Manufacturing and Materials explains the role of soft computing in the manufacturing industries. It presents the techniques, concepts and design principles behind smart soft computing, and describes how they can be applied in the development and manufacture of smart materials. It provides perspectives for design and commissioning of intelligent applications, including in health care, agriculture, and production assembly, and reviews the latest intelligent technologies and algorithms related to the methodologies of monitoring and mitigation of sustainable engineering.- Introduces soft computing techniques for the creation of sustainable solutions for smart materials and manufacturing- Offers perspectives for design, development, and commissioning of intelligent applications- Reviews the latest intelligent technologies and algorithms related to monitoring and mitigation of sustainable engineering- Discusses the implementation of soft computing in the various areas of engineering materials- Looks at future sustainable and intelligent monitoring techniques that will benefit manufacturing.
Introduction to smart soft computing in engineering : embracing intelligence and efficiency / Sudan Jha -- An enhanced approach for soft computing-based manufacturing optimization using nonlinear intuitionistic fuzzy programming techniques / Pinki, Rakesh Kumar, Manik Rakhra, Deepak Prashar and Sudan Jha -- Components of smart materials / Neha, Pooja Gupta and Ruchika Kaushik -- Recent trends and innovation in manufacturing with artificial intelligence/machine learning technologies / Ashutosh Kumar and Subhas Ganguly -- Next-gen distributed denial-of-service detection and mitigation in software-defined networking using hybrid machine learning approach / Abhishek Yadav, Manjot Kaur, Chirag Sharma and Deepak Prashar -- Soft computing in manufacturing : trends, innovations, and future prospects / B. Ravi Chandra, Ajay Roy and N. Srikanth -- Artificial intelligence in industrial applications / Sarbagy Ratna Shakya -- Soft computing and system engineering for smart manufacturing / Amit Jain, Rakesh Nayak and Umashankar Ghugar -- Application of ANFIS for predicting cutting forces, material removal rate, and surface roughness in dry grinding ot Ti--6AI--4V alloy utilizing a 2% CNT nanogrinding / Deborah Serenade Stephen and Sethuramalingam Prabhu -- Testing and analyzing genetic algorithms : advancing ethical intelligence through integrating interpretability, human-centric design, and continuous learning in smart soft computing systems / Atharva Prashant Joshi, Navneet Kaur, Chirag Sharma, Alla Krishna Vamsi Reddy, Manjot Kaur Manu and Deepak Prashar -- Product life-cycle assessment using machine learning / Akash Bhasney, Rajendra Kumar, Aman Anand, Nikita Verma and Namita Sharma -- Ultralow power communication : challenges and machine learning solutions / Riya Sharma, Balraj Singh, Deepak Prashar and Sudan Jha.
edited by Sudan Jha (Department of Computer Science and Engineering, IoT R&D Lab, Kathmandu University, Banepa, Nepal), Shubhabrata Datta (Department of Mechanical Engineering, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India), Deepak Prashar (School of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab, India), Sarbagya Ratna Shakya (Department of Mathematical Sciences, Eastern New Mexico University, Portales, NM, United States), Valentina Emilia Balas (Department of Automatics and Applied Software, "Aurel Vlaicu" University of Arad, Arad, Romania).
Includes bibliographical references and index.