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040 _aDG1
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015 _aGBC345818
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016 7 _a020973890
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019 _a1368356307
_a1368358588
020 _a9781119905233
_q(electronic bk. : oBook)
020 _a1119905230
_q(electronic bk. : oBook)
020 _a9781119905226
_q(electronic bk.)
020 _a1119905222
_q(electronic bk.)
020 _a9781119905219
_q(electronic bk.)
020 _a1119905214
_q(electronic bk.)
020 _z9781119904885
_q(print)
020 _z1119904889
024 7 _a10.1002/9781119905233
_2doi
029 1 _aUKMGB
_b020973890
035 _a(OCoLC)1370189360
_z(OCoLC)1368356307
_z(OCoLC)1368358588
037 _a9781119904885
_bO'Reilly Media
050 4 _aQA76.585
_b.C66 2023
082 0 4 _a004.67/82
_223/eng/20230215
049 _aMAIN
245 0 0 _aConvergence of cloud with AI for big data analytics :
_bfoundations and innovation /
_cedited by Danda B. Rawat, Lalit K. Awasthi, Valentina Emilia Balas, Mohit Kumar and Jitendra Kumar Samriya.
264 1 _aHoboken, NJ :
_bWiley ;
_aBeverly, MA :
_bScrivener Publishing,
_c2023.
300 _a1 online resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 0 _aAdvances in learning analytics for intelligent cloud-IoT systems
504 _aIncludes bibliographical references and index.
520 _aThis book covers the foundations and applications of cloud computing, AI, and Big Data and analyses their convergence for improved development and services. The 17 chapters of the book masterfully and comprehensively cover the intertwining concepts of artificial intelligence, cloud computing, and big data, all of which have recently emerged as the next-generation paradigms. There has been rigorous growth in their applications and the hybrid blend of AI Cloud and IoT (Ambient-intelligence technology) also relies on input from wireless devices. Despite the multitude of applications and advancements, there are still some limitations and challenges to overcome, such as security, latency, energy consumption, service allocation, healthcare services, network lifetime, etc. Convergence of Cloud with AI for Big Data Analytics: Foundations and Innovation details all these technologies and how they are related to state-of-the-art applications, and provides a comprehensive overview for readers interested in advanced technologies, identifying the challenges, proposed solutions, as well as how to enhance the framework. Audience Researchers and post-graduate students in computing as well as engineers and practitioners in software engineering, electrical engineers, data analysts, and cyber security professionals.
505 0 _aFront Matter -- Integration of Artificial Intelligence, Big Data, and Cloud Computing with Internet of Things / Jaydip Kumar -- Cloud Computing and Virtualization / Sudheer Mangalampalli, Pokkuluri Kiran Sree, Sangram K Swain, Ganesh Reddy Karri -- Time and Cost-Effective Multi-Objective Scheduling Technique for Cloud Computing Environment / Aida A Nasr, Kalka Dubey, Nirmeen El-Bahnasawy, Gamal Attiya, Ayman El-Sayed -- Cloud-Based Architecture for Effective Surveillance and Diagnosis of COVID-19 / Shweta Singh, Aditya Bhardwaj, Ishan Budhiraja, Umesh Gupta, Indrajeet Gupta -- Smart Agriculture Applications Using Cloud and IoT / Keshav Kaushik -- Applications of Federated Learning in Computing Technologies / Sambit Kumar Mishra, Kotipalli Sindhu, Mogaparthi Surya Teja, Vutukuri Akhil, Ravella Hari Krishna, Pakalapati Praveen, Tapas Kumar Mishra -- Analyzing the Application of Edge Computing in Smart Healthcare / Parul Verma, Umesh Kumar -- Fog-IoT Assistance-Based Smart Agriculture Application / Pawan Whig, Arun Velu, Rahul Reddy Nadikattu -- Internet of Things in the Global Impacts of COVID-19 / Shalini Sharma Goel, Anubhav Goel, Mohit Kumar, Sachin Sharma -- An Efficient Solar Energy Management Using IoT-Enabled Arduino-Based MPPT Techniques / Rita Banik, Ankur Biswas -- Axiomatic Analysis of Pre-Processing Methodologies Using Machine Learning in Text Mining / Tajinder Singh, Madhu Kumari, Daya Sagar Gupta, Nikolai Siniak -- APP-Based Agriculture Information System for Rural Farmers in India / Ashwini Kumar, Dilip Kumar Choubey, Manish Kumar, Santosh Kumar -- SSAMH - A Systematic Survey on AI-Enabled Cyber Physical Systems in Healthcare / Kamalpreet Kaur, Renu Dhir, Mariya Ouaissa -- ANN-Aware Methanol Detection Approach with CuO-Doped SnO 2 in Gas Sensor / Jitendra K Srivastava, Deepak Kumar Verma, Bholey Nath Prasad, Chayan Kumar Mishra -- Detecting Heart Arrhythmias Using Deep Learning Algorithms / Dilip Kumar Choubey, Chandan Kumar Jha, Niraj Kumar, Neha Kumari, Vaibhav Soni -- Artificial Intelligence Approach for Signature Detection / Amar Shukla, Rajeev Tiwari, Saurav Raghuvanshi, Shivam Sharma, Shridhar Avinash -- Comparison of Various Classification Models Using Machine Learning to Predict Mobile Phones Price Range / Chinu Singla, Chirag Jindal -- Index -- Also of Interest
588 0 _aOnline resource; title from PDF title page (John Wiley, viewed February 15, 2023).
590 _aJohn Wiley and Sons
_bWiley Online Library: Complete oBooks
650 0 _aCloud computing.
650 0 _aArtificial intelligence.
650 0 _aBig data.
650 6 _aInfonuagique.
650 6 _aIntelligence artificielle.
650 6 _aDonn�ees volumineuses.
650 7 _aartificial intelligence.
_2aat
650 7 _aArtificial intelligence
_2fast
650 7 _aBig data
_2fast
650 7 _aCloud computing
_2fast
700 1 _aRawat, Danda B.,
_d1977-
_eeditor.
_1https://id.oclc.org/worldcat/entity/E39PCjrTcfpWkKgrpWDX9ktR8C
700 1 _aAwasthi, Lalit Kumar,
_eeditor.
700 1 _aBalas, Valentina Emilia,
_eeditor.
700 1 _aKumar, Mohit,
_eeditor.
700 1 _aSamriya, Jitendra Kumar,
_eeditor.
776 0 8 _iPrint version:
_z1119904889
_z9781119904885
_w(OCoLC)1322178908
856 4 0 _uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781119905233
938 _aAskews and Holts Library Services
_bASKH
_nAH41203687
938 _aYBP Library Services
_bYANK
_n304531187
938 _aEBSCOhost
_bEBSC
_n3543737
994 _a92
_bINLUM
999 _c12949
_d12949