Artificial intelligence and machine learning for smart community concepts and applications / edited by T V Ramana, G S Pradeep Ghantasala, R Sathiyaraj, Mudassir Khan.
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton, FL : CRC Press, 2024. |
| Description | pages cm |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Subjects |
| Other author/creator | Ramana, T. V. |
| Other author/creator | Ghantasala, G S Pradeep. |
| Other author/creator | Sathiyaraj, R. |
| Other author/creator | Khan, Mudassir (Computer scientist) |
| Contents | A detailed study on deep learning versus machine learning approaches for pest classification in field crops / P. Venkatasaichandrakanth, M. Iyapparaja -- Integration of artificial intelligence (AI) and other edge cutting technologies / S. Anitha, E. M. Roopa Devi -- A detailed case study on various challenges in vehicular networks for smart traffic control system using machine learning algorithms / Bandi Vamsi, Bhanu Prakash Doppala, Mohan Mahanty, D.Veeraiah, J.Nageswara Rao, B.V. Subba Rao -- Revolutionizing transportation : the power of artificial intelligence / Pooja Sharma -- Smart education using explainable artificial intelligence (XAI) / Pooja Sharma -- Smart stock prediction techniques using AI-ML / Ochin Sharma, Heena Wadhwa, Raj Gaurang Tiwari -- Smart community : concepts & applications / Tejinder Kaur, Ojas Sharma -- Disseminating dynamic traffic information for sustainable mobility and transport / Jayanthi Ganapathy, Thanushram Sureshkumar, Ambati Renuka, Vamsi Krishna, Ayushmaan Das. |
| Abstract | "Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications is primarily written for graduate students, and academic researchers working in the fields of computer science and engineering, electrical engineering, and information technology. Seasonal Blurb: This reference text presents the most recent and advanced research on the application of artificial intelligence and machine learning on intelligent systems. It will discuss important topics such as business intelligence, reinforcement learning, supervised learning, and unsupervised learning in a comprehensive manner. It also includes case studies on smart transportation, smart home, smart agriculture, smart manufacturing, smart grid, smart education, and smart government. It is primarily written for graduate students, and academic researchers working in the fields of computer science and engineering, electrical engineering, and information technology"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2023035816 |
| ISBN | 9781032526065 (hardback) |
| ISBN | 9781032529707 (paperback) |
| ISBN | (ebook) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |