http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
"The text emphasizes the need for data pre-processing, classification and prediction, cluster analysis, mining multimedia, and advanced machine learning techniques for scientific programming in Industry 5.0. Addresses how the convergence of intelligent systems and 5G wireless systems will solve industrial problems such as autonomous robots, and self-driving cars. Highlights the methods of smart things in collaborative autonomous fleets and platforms for integrating applications across different business and industry domains. Discusses important topics such as the Internet of robotic things, cloud robotics, and cognitive architecture for cyber-physical robotics. Explains image compression, and advanced machine learning techniques for scientific programming in Industry 5.0. Presents a detailed discussion of smart manufacturing techniques, industrial Internet of things, and supply chain management in Industry 5.0. The text is primarily written for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, electrical engineering, production engineering, and mechanical engineering"--
From Industry 4.0 to Industry 5.0 / Bhavani Rachakatla, Sheshank Mouli Garrepalli -- Assessing the impact of Industry 5.0 on sustainability strategies / Praveen Kumar Malik, Arshi Naim -- Digital industrial revolution : from sustainability perspective / Samiya Khan -- Machine learning for supply chain management in Industrial 4.0 era : a bibliometric analytics / Monalisha Pattnaik, Ashirbad Mishra, Aryan Pattnaik, Alipsa Pattnaik -- Transforming Industry 5.0 : real time monitoring and decision making with IIOT / Vijay Arputharaj J, Sanjoy Kumar Pal -- Energy efficiency and renewable energy in Industry 5.0 / Aihloor Subramanyam Sreelatha, Bandi Pallavi, Sheriff Olalekan Ajala -- A study of cloud of things enabled machine learning based smart health monitoring system / Ayontika Das, Anindya Nag, Biva Das, Riya Paul -- Lung cancer classification using CNN : addressing class imbalance and model performance analysis / L K Suresh Kumar, Humera Shaziya, Raniah Zaheer -- Water quality forecasting using deep learning : a study of the Brahmaputra Basin / P R Anisha, Rithika Badam, Vijaya Sindhoori Kaza, Poorvi Reddy Lakkadi -- Multimodal fusion techniques for enhanced fake news detection : a robustly optimized BERT and vision transformer approach / Sumaya Abdul Rahman, V. Sai Deepa Reddy, Aayesha Qureshi, Srinath Doss.
edited by C Kishor Kumar Reddy, P R Anisha, Samiya Khan, Marlia Mohd Hanafiah, Lavanya Pamulaparty, and R Madana Mohana.
Includes bibliographical references and index.
Computational methods for industrial applications