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001445472 001__ 1445472
001445472 003__ OCoLC
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001445472 019__ $$a1305169020$$a1305439077$$a1305912407$$a1306023735
001445472 020__ $$a9789811696053$$q(electronic bk.)
001445472 020__ $$a9811696055$$q(electronic bk.)
001445472 020__ $$z9789811696046
001445472 020__ $$z9811696047
001445472 0247_ $$a10.1007/978-981-16-9605-3$$2doi
001445472 035__ $$aSP(OCoLC)1306060952
001445472 040__ $$aEBLCP$$beng$$erda$$epn$$cEBLCP$$dYDX$$dGW5XE$$dOCLCO$$dOCLCF$$dUKAHL$$dOCLCQ$$dEBLCP$$dOCLCQ
001445472 049__ $$aISEA
001445472 050_4 $$aTA347.E96$$bI58 2021
001445472 08204 $$a006.3/823$$223
001445472 1112_ $$aInternational Conference on Evolutionary Computing and Mobile Sustainable Networks$$d(2021 :$$cBangalore, India).
001445472 24510 $$aEvolutionary computing and mobile sustainable networks :$$bproceedings of ICECMSN 2021 /$$cV. Suma, Xavier Fernando, Ke-Lin Du, Haoxiang Wang, editors.
001445472 24630 $$aICECMSN 2021
001445472 264_1 $$aSingapore :$$bSpringer,$$c[2022]
001445472 264_4 $$c©2022
001445472 300__ $$a1 online resource (1039 pages) :$$billustrations (chiefly color).
001445472 336__ $$atext$$btxt$$2rdacontent
001445472 337__ $$acomputer$$bc$$2rdamedia
001445472 338__ $$aonline resource$$bcr$$2rdacarrier
001445472 4901_ $$aLecture notes on data engineering and communications technologies ;$$vvolume 116
001445472 500__ $$aInternational conference proceedings.
001445472 5050_ $$aImproved Grey wolf Optimization based Feature selection and classification using CNN for Diabetic Retinopathy detection -- Feature Selection Using Modified Sine Cosine Algorithm with COVID-19 Dataset -- Blood Cell Image Denoising based on Tunicate Rat Swarm Optimization with Median Filter -- A Hybrid Approach for Deep Noise Suppression using Deep Neural Networks -- Human Health Care Systems Analysis for Cloud Data Structure of Biometric System using ECG Analysis -- Data mining for Solving Medical Diagnostics Problems -- Classification of Diabetic Retinopathy using Ensemble of Machine Learning Classifiers with IDRID Dataset -- Epileptic Seizure Prediction Using Geometrical Features Extracted From HRV Signal -- An Extensive Survey on Outlier Prediction using Mining and Learning Approaches -- Performance Comparison of Data Security Strategies in Fog Computing -- Design and Simulation of a Direct-PSK Based Telecommand Receiver for Small Satellite -- Analysis of Data Aggregation and Clustering Protocol in Wireless Sensor Networks using Machine Learning -- DetecSec : A Framework to Detect and Mitigate ARP Cache Poisoning Attacks -- PAPR Reduction in SDR based OFDM System.
001445472 506__ $$aAccess limited to authorized users.
001445472 520__ $$aThis book mainly reflects the recent research works in evolutionary computation technologies and mobile sustainable networks with a specific focus on computational intelligence and communication technologies that widely ranges from theoretical foundations to practical applications in enhancing the sustainability of mobile networks. Today, network sustainability has become a significant research domain in both academia and industries present across the globe. Also, the network sustainability paradigm has generated a solution for existing optimization challenges in mobile communication networks. Recently, the research advances in evolutionary computing technologies including swarm intelligence algorithms and other evolutionary algorithm paradigms are considered as the widely accepted descriptors for mobile sustainable networks virtualization, optimization, and automation. To deal with the emerging impacts on mobile communication networks, this book discusses about the state-of-the research works on developing a sustainable design and their implementation in mobile networks. With the advent of evolutionary computation algorithms, this book contributes varied research chapters to develop a new perspective on mobile sustainable networks.
001445472 588__ $$aDescription based upon print version of record.
001445472 650_0 $$aEvolutionary computation$$vCongresses.
001445472 650_0 $$aMobile computing$$vCongresses.
001445472 650_6 $$aRéseaux neuronaux à structure évolutive$$vCongrès.
001445472 650_6 $$aInformatique mobile$$vCongrès.
001445472 655_0 $$aElectronic books.
001445472 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001445472 655_7 $$aConference papers and proceedings.$$2lcgft
001445472 655_7 $$aActes de congrès.$$2rvmgf
001445472 7001_ $$aSuma, V.,$$eeditor.
001445472 7001_ $$aFernando, Xavier N.,$$eeditor.
001445472 7001_ $$aDu, K.-L.,$$eeditor.
001445472 7001_ $$aWang, Haoxiang$$q(Harry Haoxiang),$$eeditor.
001445472 77608 $$iPrint version:$$aSuma, V.$$tEvolutionary Computing and Mobile Sustainable Networks$$dSingapore : Springer Singapore Pte. Limited,c2022$$z9789811696046
001445472 830_0 $$aLecture notes on data engineering and communications technologies ;$$vv. 116.
001445472 852__ $$bebk
001445472 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-9605-3$$zOnline Access$$91397441.1
001445472 909CO $$ooai:library.usi.edu:1445472$$pGLOBAL_SET
001445472 980__ $$aBIB
001445472 980__ $$aEBOOK
001445472 982__ $$aEbook
001445472 983__ $$aOnline
001445472 994__ $$a92$$bISE