| Other author/creator | Bhushan, Bharat, 1989 http://id.loc.gov/authorities/names/no2021140896 http://id.loc.gov/rwo/agents/no2021140896. |
| Other author/creator | Chakraborty, Mithun, Dr. http://id.loc.gov/authorities/names/n2026006831 http://id.loc.gov/rwo/agents/n2026006831. |
| Other author/creator | Wajid, Mohd http://id.loc.gov/authorities/names/n2020052154 http://id.loc.gov/rwo/agents/n2020052154. |
| Other author/creator | Sharma, Sudhir Kumar http://id.loc.gov/authorities/names/n2020021225 http://id.loc.gov/rwo/agents/n2020021225. |
| Other author/creator | Shankar, Achyut http://id.loc.gov/authorities/names/n2021047403 http://id.loc.gov/rwo/agents/n2021047403. |
| Other author/creator | Nand, Parma (Computer scientist http://id.loc.gov/authorities/names/no2022073263 http://id.loc.gov/rwo/agents/no2022073263. |
| Series | Computational methods for industrial applications |
| Contents |
Deep learning transformations for innovating healthcare in the health sector / Pawan Whig, Jhansi Bharathi Madavarapu, Nikhitha Yathiraju, Ramya Thatikonda -- Preliminary study of 6G networks signifies a revolutionary change in wireless communication / Sivabalan Settu, Renugadevi Rajaram, Maridhu Bhargavi, Thangavel Murugan, Rathipriya Ramalingam -- AI applications, healthcare, agriculture, defence & medicine / Y. Lalitha Kameswari -- Artificial intelligence and machine learning in healthcare : a systematic bibliometric analysis / Risha Thakur and Anita Singh -- Deep learning and neural networks in the stock market / Shweta Mayor Sabharwalr and Niyati Aggarwal -- Deep learning strategies for advanced wireless communication / G. Boopathi Raja -- A machine learning-based model for predicting diabetes leading to retinopathy / Anam Reyaz, Md. Tabrez Nafis, Namria Ishaaq -- Intelligent wireless networks : edge computing, sensors, real-time computing, security, emerging applications / Mohammad Ishrat, Wasim Khan, Anwar Ahamed Shaikh, Syed Mohd Faisal, Monia Mohammed Al Farsi -- Empowering the future of education and data science : a deep learning approach to wireless networks / Mohd Anas Wajid, Mohammad Kaif Wajid, Ravi Kumar, Bharat Bhooshan, Claudia Camacho Zuniga -- ML algorithms : supervised and unsupervised learning, application in diverse fields including networking / Teena Vats -- ML in wireless networks : management, security, analytics, virtualization, sensors, real cases / Y. Lalitha Kameswari. |
| Abstract |
"This reference text covers deep learning-based communication frameworks for multiuser detection and sparse channel estimation and elaborates discussion on deep learning-based ultra-dense cell communication and sensor networks and ad-hoc communication. It further presents concepts and theories related to high-speed communication systems which are important in intelligent wireless communications. Features: Discusses machine learning-based network management strategy in wireless systems, and machine learning-inspired big data analytics frameworks for wireless network applications. Presents high speed communication systems, deep learning for wireless networks, security aspects in wireless networks, and decision-making for wireless networks. Highlights the importance of using deep reinforcement learning in intelligent wireless networks and deep reinforcement learning-based mobile data offloading frameworks. Covers novel network architectures for distributed edge learning, and privacy issues in distributed edge learning. Illustrates experimentation and deep learning-based simulations in networking systems, deep learning-based communication frameworks for multiuser detection, and sparse channel estimation. It is written for senior undergraduate students, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and 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 | 2025051181 |
| ISBN | 9781032998152 hardback |
| ISBN | 9781041268000 paperback |
| ISBN | ebook |