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6th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing : BDCC 2023 / / edited by Anandakumar Haldorai, Arulmurugan Ramu, Sudha Mohanram
6th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing : BDCC 2023 / / edited by Anandakumar Haldorai, Arulmurugan Ramu, Sudha Mohanram
Autore Haldorai Anandakumar
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (191 pages)
Disciplina 621,382
Altri autori (Persone) RamuArulmurugan
MohanramSudha
Collana EAI/Springer Innovations in Communication and Computing
Soggetto topico Telecommunication
Signal processing
Computer networks
Communications Engineering, Networks
Digital and Analog Signal Processing
Computer Communication Networks
ISBN 9783031546969
3031546962
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I. Bigdata Services -- Chapter 1. Modelling Cognitive Scores for Alzheimer's Disease Progression Prediction Using Longitudinal MRI D -- Chapter 2. Various Physiological Methods to Identify Sleep Onset -- Chapter 3. IoT Adoption: Challenges among Small and Medium Enterprises -- Chapter 4. Performance evaluation of Adaptive Neuro Fuzzy Inference System (ANFIS) for the prediction of Cloud Service Provider -- Part II. Bigdata and Security -- Chapter 5. Online Covid-19 Risk Analysis System for Early Detection of Possible Infection -- Chapter 6. Application of Multi focused and Multi Modal image fusion using Guided Filter on Bio-Medical Images -- Chapter 7. Experimental Comparative Analysis on Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) on Aspect Level Sentiment Analysis -- Part III. Bigdata Emerging Applications -- Chapter 8. Data hiding in binary images for secret and secure communication using decision tree -- Chapter 9. Private and Secure Blockchain-based mechanism for an Online Voting System -- Chapter 10. AI-Enabled Pregnancy Risk Monitoring and Prediction: A Review -- Chapter 11. Finger Knuckle Print Recognition using Complex Conjugate Feature Vector -- Part IV. Bigdata and Technology -- Chapter 12. What Your Tweets Say about You – A case study of Extraversion and word usage -- Chapter 13. An Automated Cervical Cancer Detection mechanism using Pap smear images -- Chapter 14. A Systematic Literature Review on Data Freshness for reinforcing mutual authentication in Wireless Body Area Networks -- Chapter 15. Detection of Non-Technical Losses in Power Utilities Using Machine Learning -- Part V. Bigdata in Medical Applications -- Chapter 16. A Novel Real Time 3D Object Detection Network in Autonomous Driving using reformed rs-resnet network -- Chapter 17. Solar radiation prediction using the random forest regression algorithm -- Chapter 18. Vehicular Support System for User and Vehicle Accident Prevention.
Record Nr. UNINA-9910865293803321
Haldorai Anandakumar  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computing and Communication Systems in Urban Development : A Detailed Perspective / / by Anandakumar Haldorai, Arulmurugan Ramu, Suriya Murugan
Computing and Communication Systems in Urban Development : A Detailed Perspective / / by Anandakumar Haldorai, Arulmurugan Ramu, Suriya Murugan
Autore Haldorai Anandakumar
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XVI, 233 p. 48 illus., 36 illus. in color.)
Disciplina 005.1
307.1216
Collana Urban Computing
Soggetto topico Software engineering
Big data
Software Engineering/Programming and Operating Systems
Big Data
ISBN 3-030-26013-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Mobile and Pervasive Computing for Urban Development -- Web Intelligence and Data Mining in Urban Areas -- Signal Processing Architectures, Algorithms and Human Machine Interactions in Urban Applications -- Biomedical Informatics and Computation in Urban E-Health -- Artificial Intelligence and Machine Learning for Future Urban Development -- Energy Efficient Network Selection for Urban Cognitive Spectrum Handovers -- Social Relationship Ranking on the Smart Internet -- Cognitive Radio Communication and Applications for Urban Spaces -- Machine Learning and Big Data for Smart Generation -- Smart Sensor Networking and Green Technologies in Urban Areas -- Index.
Record Nr. UNINA-9910349280403321
Haldorai Anandakumar  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent Spectrum Handovers in Cognitive Radio Networks / / by Anandakumar Haldorai, Umamaheswari Kandaswamy
Intelligent Spectrum Handovers in Cognitive Radio Networks / / by Anandakumar Haldorai, Umamaheswari Kandaswamy
Autore Haldorai Anandakumar
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (230 pages)
Disciplina 621.384
004.685
Collana EAI/Springer Innovations in Communication and Computing
Soggetto topico Electrical engineering
Signal processing
Image processing
Speech processing systems
Computer networks
Computational intelligence
Communications Engineering, Networks
Signal, Image and Speech Processing
Computer Communication Networks
Computational Intelligence
ISBN 3-030-15416-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter1: Cooperative Spectrum Handovers in Cognitive Radio Networks -- Chapter2: Intelligent Cognitive Radio Communication – A Detailed Approach -- Chapter3: Energy Efficient Spectrum Handovers in Cognitive Network Selection -- Chapter4: Software Radio Architecture: A Mathematical Perspective -- Chapter5: Distributed Algorithms for Learning and Cognitive Medium -- Chapter6: Dynamic Spectrum Handovers in Cognitive Radio Networks -- Chapter7: Supervised Machine Learning Techniques in Cognitive Radio Network Handovers -- Chapter8: Green Wireless Communications via Cognitive Handover -- Chapter9: Secure Distributed Spectrum Sensing in Cognitive Radio Networks -- Chapter10: Applications and Services of Intelligent Spectrum Handover.
Record Nr. UNINA-9910337601703321
Haldorai Anandakumar  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui