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024 7 _a10.1007/978-981-19-2350-0
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245 1 0 _aProceedings of the International Conference on Cognitive and Intelligent Computing
_h[electronic resource] :
_bICCIC 2021, Volume 1 /
_cedited by Amit Kumar, Gheorghita Ghinea, Suresh Merugu, Takako Hashimoto.
250 _a1st ed. 2022.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2022.
300 _aXI, 925 p. 503 illus., 399 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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_2rdacarrier
347 _atext file
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490 1 _aCognitive Science and Technology,
_x2195-3996
505 0 _a1. An Extensive Survey of Deep learning-based Crop Yield Prediction Models for Precision Agriculture -- 2. Performance Analysis of Routing Protocols for Wireless Sensor Networks -- 3. LS-TFP: A LSTM-Based Traffic Flow Prediction Method in Intelligent Internet of Things -- 4. Prediction of Deformed Shape inIncremental Sheet Forming Processusing Feedforward Neural Network -- 5. IoT Based Environmental Parameter Monitoring Using Machine Learning Approach.
520 _aThis book presents original, peer-reviewed select articles from the International Conference on Cognitive & Intelligent Computing (ICCIC – 2021), held on December 11–12, 2021, at Hyderabad, India. The proceedings has cutting edge Research outcome related to Machine learning in control applications, Soft computing, Pattern Recognition, Decision Support Systems, Text analytics and NLP, Statistical Learning, Neural Network Learning, Learning Through Fuzzy Logic, Learning Through Evolution (Evolutionary Algorithms), Reinforcement Learning, Multi-Strategy Learning, Cooperative Learning, Planning And Learning, Multi-Agent Learning, Online And Incremental Learning, Scalability Of Learning Algorithms, Inductive Learning, Inductive Logic Programming, Bayesian Networks, Support Vector Machines, Case-Based Reasoning, Multi-Agent Systems, Human–Computer Interaction, Data Mining and Knowledge Discovery, Knowledge Management and Networks, Data Intensive Computing Architecture, Medicine, Health, Bioinformatics, and Systems Biology, Industrial and Engineering Applications, Security Applications, Smart Cities, Game Playing and Problem Solving, Intelligent Virtual Environments, Economics, Business, And Forecasting Applications. Articles in the book are carefully selected on the basis of their application orientation. The content is expected to be especially useful for Professionals, Researchers, Research students working in the area of cognitive and intelligent computing.
650 0 _aComputational intelligence.
650 0 _aMachine learning.
650 0 _aArtificial intelligence.
650 0 _aData mining.
650 0 _aInternet of things.
650 1 4 _aComputational Intelligence.
650 2 4 _aMachine Learning.
650 2 4 _aArtificial Intelligence.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aInternet of Things.
700 1 _aKumar, Amit.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aGhinea, Gheorghita.
_eeditor.
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_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMerugu, Suresh.
_eeditor.
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700 1 _aHashimoto, Takako.
_eeditor.
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9789811923517
776 0 8 _iPrinted edition:
_z9789811923524
830 0 _aCognitive Science and Technology,
_x2195-3996
856 4 0 _uhttps://doi.org/10.1007/978-981-19-2350-0
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