Innovations in computational intelligence, big data analytics, and internet of things
"As sensors spread across almost every industry, the internet of things is going to trigger a massive influx of big data. We delve into where IoT will have the biggest impact and what it means for the future of big data analytics. Internet of Things is changing the face of different sectors suc...
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| Other Authors | , , , |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Bingley, U.K :
Emerald Publishing Limited : Information Age Publishing, Inc.,
2024.
|
| Series | Emerging information technologies : applications, innovations, and research
|
| Subjects | |
| Online Access | Full text |
| ISBN | 9781806600953 |
| DOI | 10.1108/9798887305615 |
| Physical Description | 1 online resource (vii, 376 pages) : illustrations |
Cover
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| 008 | 240807s2024 enka ob 000 0 eng | ||
| 020 | |a 9781806600953 |q (e-book) | ||
| 040 | |a DLC |b eng |e rda |c DLC |d DLC | ||
| 080 | |a 62 | ||
| 082 | 0 | 4 | |a 006.3 |2 23 |
| 245 | 0 | 0 | |a Innovations in computational intelligence, big data analytics, and internet of things / |c edited by Sam Goundar, J. Avanija, Gurram Sunitha, K. Reddy Madhavi. |
| 264 | 1 | |a Bingley, U.K : |b Emerald Publishing Limited : |b Information Age Publishing, Inc., |c 2024. | |
| 300 | |a 1 online resource (vii, 376 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 0 | |a Emerging information technologies : applications, innovations, and research | |
| 504 | |a Includes bibliographical references. | ||
| 505 | 0 | |a Chapter 1. A systematic literature review of computational intelligence / Big Data Analytics, and Internet of Things, Gurram Sunitha, Sam Goundar, J. Avanija, and K. Reddy Madhavi -- Chapter 2. Applications of innovations in computational intelligence / Big Data Analytics, and Internet of Things, J. Avanija, Sam Goundar, Putta Vishnu Vardhan, D. Ganesh, and Gurram Sunitha -- Chapter 3. Trends and future research directions of innovations in computational intelligence, big data analytics, and internet of things / B. Narendra Kumar Rao, Sam Goundar, Gopireddy Karthik Kumar Reddy, Dudi Sai Hima Sri, Gundampati Sudheer Kumar, and Gundarapu Vikas -- Chapter 4. An intelligent framework for traffic congestion analysis system using deep convergence network / A. Jafflet Trinishia, S. Asha, and Kanchana Devi V -- Chapter 5. Iot security: Securing the future of connectivity, david silva, travis hearne, and theodore wiard -- Chapter 6. Implementation of densenet deep learning mechanism for thorax disease classification in chest x-ray images / D. Ganesh, K. Suresh, Mohamed Yasin, Gurram Sunitha, and Thulasi Bikku -- Chapter 7. An integrated comprehensive security framework for wireless sensor networks: A survey / V. Jyothsna, P. Bhasha, E. Sandhya, and K. Khaja Baseer -- Chapter 8. A feature-fusion-based multimodal biometric along with one-time token authentication system for increased security in cloud environments / Reddy Madhavi K., Vijayasanthi Maddela, K. Suneetha, Ashok Patel, and Karuna G -- Chapter 9. A workload clustering and resource provisioning framework for cloud using: Adaptive cat swarm optimization and rule based classification / Gurram Sunitha, Mohammad Gouse Galety, J. Avanija, K. Reddy Madhavi, and A. V. Sriharsha -- Chapter 10. Iot protocols: A review / Kasarapu Ramani, G. B. Hima Bindu, M. L. Haritha, N. Pushpa Latha, and I. Suneetha -- Chapter 11. Iot enabled monitoring of solar plants in agri lands / P. Dhanalakshmi, K. Srujan Raju, Nagendra Panini Challa, B. Hemanth Kumar, and K. P. N. V. Satya Sree -- Chapter 12. A simple and effective approach for identification of collaborative concerns and risks under distributed version control / K. Suneetha, Jabeen Sultana, Reddy Madhavi K., Gudavalli Madhavi, and Naga Jyothi -- Chapter 13. Lung disease detection using hybrid machine learning algorithms / J. Avanija, K. Srujan Raju, Gurram Sunitha, Mohammad Gouse Galety, and A. V. Sriharsha -- Chapter 14. An investigation of future research directions in secure internet of things systems and applications / M. Bharathi, M. Dharani, Sivaram Rajeyyagari, and B. M. Rajeswari -- Chapter 15. An effective pedestrian detection using convolutional neural network: Computer vision applications / N. Ashokkumar, P. T. Kavitha, P. Nagarajan, M. Bharathi, K. Neelima, and M. Dharani -- Chapter 16. Chronic kidney disease prediction using hybrid machine learning models / K. Reddy Madhavi, J. Avanija, Shivaprasad Kaleru, K. Arun Kumar, and R. Hitesh Sai Vittal -- Chapter 17. Cyber security constrained power system with tcsc under n-1 contingency condition / Suresh Babu Daram, Kumar Reddy Cheepati, Killada Sesi Prabha, and Venkatesh P -- Chapter 18. Trending opportunities and challenges in enabling technologies of industry 5.0 / S. Sreenivasa Chakravarthi, Jagadeesh Kannan, S. Sountharrajan, Saravana Balaji B., and J. Avanija -- Chapter 19. Big data analysis to categorize agricultural land according to climatic information / M. Sirish Kumar, Kurakula Arun Kumar, Avula chitti, B. Panduranag Raju, and Sivaram Rajeyyagari -- Chapter 20. Binaural hearing aid noise reduction using an external microphone / G. Naga Jyothi, K. Vijetha, K. Reddy Madhavi, K. Suneetha, and S. Sreenivasa Chakravarthi. About the Editors. | |
| 506 | |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty | ||
| 520 | |a "As sensors spread across almost every industry, the internet of things is going to trigger a massive influx of big data. We delve into where IoT will have the biggest impact and what it means for the future of big data analytics. Internet of Things is changing the face of different sectors such as manufacturing, health-care, business , education etc. by completely redefining the way people, devices and apps connect and interact with each other in the eco system. From personal fitness and wellness sensors, implantable devices to surgical robots - IoT is bringing in new tools and efficiencies in the ecosystem resulting in more integrated healthcare. Application of computational intelligence techniques is today considered as a key success factor to solve the growing scale and complexity of problems in the field of health care systems, agriculture, e-commerce etc. The convergence of Computational intelligence, Big Data and IoT provides new opportunities and revolutionize business in huge way. This book will support industry and governmental agencies to facilitate and make sense of myriad connected devices in coming decade. This book offers the recent advancements in Computational Intelligence, IoT and Big Data Analytics"-- |c Provided by publisher. | ||
| 588 | 0 | |a Print version record. | |
| 650 | 0 | |a Computational intelligence |x Industrial applications. | |
| 650 | 0 | |a Artificial intelligence |x Technological innovations. | |
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Quantitative research. | |
| 650 | 0 | |a Internet of things. | |
| 650 | 7 | |a Technology & Engineering |x Research. |2 bisacsh | |
| 650 | 7 | |a Artificial intelligence. |2 thema | |
| 650 | 7 | |a Industrial applications of scientific research and technological innovation. |2 thema | |
| 655 | 7 | |a elektronické knihy |7 fd186907 |2 czenas | |
| 655 | 9 | |a electronic books |2 eczenas | |
| 700 | 1 | |a Goundar, Sam, |d 1967- |e editor. | |
| 700 | 1 | |a Avanija, J., |e editor. | |
| 700 | 1 | |a Sunitha, Gurram, |e editor. | |
| 700 | 1 | |a Madhavi, K. Reddy, |e editor. | |
| 776 | 0 | 8 | |i Print version: |z 9798887305608, 9798887305592 |
| 776 | 0 | 8 | |i PDF version: |z 9798887305615 |
| 856 | 4 | 0 | |u https://proxy.k.utb.cz/login?url=https://doi.org/10.1108/9798887305615 |