5th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing : BDCC 2022 / / edited by Anandakumar Haldorai, Arulmurugan Ramu, Sudha Mohanram |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (221 pages) |
Disciplina | 170 |
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 | 3-031-28324-4 |
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-9910728931003321 |
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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6th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing : Bdcc 2023 |
Autore | Haldorai Anandakumar |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Cham : , : Springer, , 2024 |
Descrizione fisica | 1 online resource (191 pages) |
Altri autori (Persone) |
RamuArulmurugan
MohanramSudha |
Collana | EAI/Springer Innovations in Communication and Computing Series |
ISBN | 3-031-54696-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- 6th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing -- BDCC 2023 -- Contents -- About the Editors -- Part I: Big Data Analytics in Ubiquitous Data Science -- Spontaneous Traffic Management System for Counting Vehicle Using IoT and Image Processing Techniques -- 1 Introduction -- 2 Literature Survey -- 3 Methodology Proposed -- 3.1 Counting of Vehicle Using Image Processing Technique -- 3.2 Internet-Based Data Transmission for Traffic Management System -- 3.3 The Method of Vehicle Detection and Tracking -- 3.4 NodeMCU -- 4 Experimental Results Discussion -- 5 Conclusions -- References -- Quality of Service Protection in 5G Mobile Ad Hoc Networks with Behavior Learning-Enhanced CNN-AODV Routing -- 1 Introduction -- 2 Power Aware Routing in Mobile Ad Hoc Networks -- 3 Our Proposed Algorithm -- 3.1 Reward Triad -- 3.2 State -- 3.3 Linking the Moving Stage -- 4 Experimental Analysis -- 5 Conclusion -- References -- Decoding Li-Ion Battery Longevity: Domain-Driven Approach with Advanced Feature Engineering and Machine Learning for RUL and SOH Estimation -- 1 Introduction -- 2 Literature Review -- 3 Problem Statement -- 3.1 Feature Extraction -- 3.2 Calculation of IC-Curve -- 4 Methodology -- 4.1 Data Simulation -- 4.2 NASA PCOE (Prognostic Center of Excellence) Battery Data -- 4.3 Stanford Toyota Data -- 4.4 Data Processing -- 4.5 Data Aggregation -- 4.6 Method of Data Aggregation -- 4.7 CC (Constant Current) -- 4.8 Features of IC-Curve -- 5 Model Training -- 5.1 Results -- 5.2 Evaluation Metric -- 6 Conclusion -- 7 Future Scope -- References -- Integrating Fuzzy Logic and Deep Learning for Effective Network Attack Detection with Fuzzified Deep Convolutional Neural Network -- 1 Introduction -- 1.1 Contribution -- 1.2 Organization -- 2 Literature Review.
3 Proposed Methodology: Fuzzified Deep Convolutional Neural Network (FDCNN) -- 3.1 Cross Layer Architecture Work on Fuzzy-Based Trusted Evaluation -- 3.1.1 Stage on Network Acquiring -- 3.1.2 The Data Forwarding Phase -- 3.2 Regularizing Deep Neural Network Classifier -- 3.2.1 Back Propagation -- 3.2.2 Forward Propagation -- 4 Experimental Analysis -- 4.1 Performance Measurements -- 4.2 Discussion -- 5 Conclusion -- References -- Part II: Big Data Analytics and Machine Learning -- Evolvable Hardware Using Genetic Algorithm -- 1 Introduction -- 1.1 Evolvable Hardware -- 1.2 Evolutionary Algorithm -- 1.3 Genetic Algorithm -- 2 Literature Survey -- 3 Genetic Algorithm in Evolvable Hardware -- 4 Results and Discussions -- 5 Conclusions and Future Work -- References -- Zero Watermarking and Data Authentication -- 1 Introduction -- 2 Literature Survey -- 2.1 Spatial Domain -- 2.2 Frequency Domain -- 3 The Proposed Zero Watermarking Methodology for Data Authentication -- 4 Experimental Results -- 5 Conclusions -- References -- Gender-Based Differences in Demographic and Time Domain Pulse Rate Variability Parameters in Association with Type2 Diabetic -- 1 Introduction -- 2 Methods -- 2.1 Subjects -- 2.2 Recording Protocols -- 2.3 PRV Analysis -- 2.4 Statistical Analysis -- 3 Results -- 3.1 Demographic Gender-Based Differences in Overall Studied Population -- 3.2 Gender-Based Relationship Between Variables and DM -- 3.3 Significance Test Between all Combination of Dependent Categorical Variables and Independent Variables -- 4 Discussion -- 5 Conclusion -- References -- Symbiotic Organism Search: A Novel Paradigm for Feature Optimization in Finger Vein Recognition Systems -- 1 Introduction -- 2 Literature Study -- 3 A Proposed SOS Feature Selection Methodology for Finger Vein Recognition -- 3.1 Preprocessing -- 3.2 Feature Extraction. 3.2.1 Histogram of Oriented Gradients -- 3.2.2 Gray Level Occurrence Matrix -- 3.3 Feature Selection -- 3.3.1 Mutualism -- 3.3.2 Commensalism -- 3.3.3 Parasitism -- 3.3.4 KNN Classifier -- 4 Result and Discussion -- 5 Conclusion -- References -- Part III: Big Algorithms for Software Development -- Streamlining KYC Processes for Banks with Centralized Information Repository Using Design Thinking -- 1 Introduction -- 1.1 Objective -- 1.2 Scope -- 1.3 Problem Definition -- 1.4 Empathy -- 1.5 Bank Empathy Map -- 2 Related Works -- 3 Existing Systems -- 4 Proposed System -- 4.1 Ideate -- 4.2 System Architecture -- 5 Results and Discussions -- 6 Conclusion -- References -- Transforming Agriculture Through Internet of Things -- 1 Introduction -- 2 Literature Review -- 2.1 Agriculture in India -- 2.2 Technological Advancement in Indian Agriculture -- 2.3 Internet of Things (IoT) in Indian Agriculture -- 2.4 Challenges of Internet of Things (IoT) Implementation in Indian Agriculture -- 3 Research Methods -- 3.1 Variables for the Study -- 4 Results -- 5 Discussions -- 6 Conclusion -- References -- Anti-theft System Using Structural Similarity -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Structural Similarity Index Measure -- 3.2 Framework -- 4 Results and Discussion -- 5 Conclusion -- References -- Analysis and Prediction of CO2 Emissions, Energy Use, and Economic Growth Trilemma in India -- 1 Introduction -- 2 Literature Review -- 3 Dataset -- 4 Methodology -- 4.1 Augmented Dickey-Fuller Test -- 4.2 Linear Regression -- 4.3 XGBoost Algorithm -- 5 Results -- 6 Conclusions -- 7 Discussions and Limitations -- References -- Cardless ATM Transaction System -- 1 Introduction -- 2 Objective of the Work -- 3 Existing System -- 4 Methodology Used in Proposed System -- 5 Module Description -- 5.1 Face Recognition -- 5.2 Database Setup. 5.3 Performing ATM Transactions -- 6 Implementation and Results -- 7 Conclusion and Future Enhancements -- 7.1 Conclusion -- 7.2 Future Enhancement -- References -- Index. |
Record Nr. | UNINA-9910865293803321 |
Haldorai Anandakumar | ||
Cham : , : Springer, , 2024 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Business Intelligence for Enterprise Internet of Things / / edited by Anandakumar Haldorai, Arulmurugan Ramu, Syed Abdul Rehman Khan |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (289 pages) |
Disciplina | 004.678 |
Collana | EAI/Springer Innovations in Communication and Computing |
Soggetto topico |
Computer engineering
Internet of things Embedded computer systems Electrical engineering Computer communication systems Cyber-physical systems, IoT Communications Engineering, Networks Computer Communication Networks |
ISBN | 3-030-44407-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction.-Development of innovative enterprise architecture for internet of things -- Enterprise IoT modeling: supervised, unsupervised and reinforcement learning -- Internet of things evolutionary computation, Enterprise modeling and simulation -- Development of new IoT technologies for business intelligence and large-scale enterprise analysis -- Uncertainty modeling in big data analytics for IoT -- Providing solutions to pressing problems across areas including connected and autonomous vehicles, automation, healthcare, and enterprise security using Internet of things -- The management of enterprise in mobile transparent computing for internet of things -- Bridge developments in Artificial Intelligence to real enterprise applications in collaboration with IoT partners -- New generation of scientists to address the skills shortage in these areas and increase competitiveness -- Applications and services for enterprise systems such as Complex systems, multi-agent systems, game theory and statistics -- Advanced future perspective in enterprise for internet of things -- Conclusion. |
Record Nr. | UNINA-9910407729503321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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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 | ||
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EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing : BDCC 2018 / / edited by Anandakumar Haldorai, Arulmurugan Ramu, Sudha Mohanram, Chow Chee Onn |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (xii, 412 pages) : illustrations |
Disciplina | 006.3 |
Collana | EAI/Springer Innovations in Communication and Computing |
Soggetto topico |
Electrical engineering
Signal processing Image processing Speech processing systems Computer communication systems Computational intelligence Communications Engineering, Networks Signal, Image and Speech Processing Computer Communication Networks Computational Intelligence |
ISBN | 3-030-19562-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1. Data Security In The Cloud Via Artificial Intelligence With Vector Quantization For Image Compression -- Chapter 2. Hybrid Ant-Fuzzy Approach For Data Clustering (Afc) In Distributed -- Chapter 3. S-Transform Based Efficient Copy-Move Forgery Detection Technique In Digital Images -- Chapter 4. Neuro Fuzzy Ant Bee Colony Based Feature Selection For Cancer Classification -- Chapter 5. Entity Resolution For Maintaining Electronic Medical Record Using Oyster -- Chapter 6. Lifetime Improvement Of Wireless Sensor Networks Using Tree Based Routing Protocol -- Chapter 7. An Energy-Efficient Distributed Unequal Clustering Approach For Lifetime Maximization In Wireless Sensor Network -- Chapter 8. An Effective Big-Data And Blockchain [Bd-Bc] Based Decision Support Model For Sustainable Agriculture System -- Chapter 9. An Sdn Based Strategy For Reliable Data Transmission In Mobile Wireless Sensor Networks -- Chapter 10. Different Aspects Of 5G Wireless Network - An Overview -- Chapter 11. Intelligent Systems For Volumetric Feature Recognition From Cad Mesh Models -- Chapter 12. Factors Affecting A Mobile Learning System: A Case Study -- Chapter 13. Document Similarity Approach Using Grammatical Linkages With Graph Databases -- Chapter 14. Missing Data Handling By Mean Imputation And Statistical Analysis -- Chapter 15. Task Identification System For Elderly Paralysed Patients Using Electrooculography And Neural Networks -- Chapter 16. Software Defined Networking (Sdn) Architecture For Smart Trashcan Using Iot -- Chapter 17. Modified K- Nearest Neighbour Fuzzy Classifier Using Group Prototypes And Its Application To Skin Segmentation -- Chapter 18. Enhancing Cooperative Spectrum Sensing In Flying Cell Towers For Disaster Management Using Convolutional Neural Networks -- Chapter 19. Emoticons And Their Effects On Sentiment Analysis Of Twitter Data -- Chapter 20. Prediction Of Customer Churn Using Machine Learning -- Chapter 21. Prediction Of Crop Yield Using Fuzzy-Neural System -- Chapter 22. Speed Estimation And Detection Of Moving Vehicles Based On Probabilistic Principal Component Analysis And New Digital Image Processing Approach -- Chapter 23. A Posture Recognition System For Assisted Self-Learning Of Yoga By Cognitive Impaired Older People For The Prevention Of Falls -- Chapter 24. Improved Ufhlsnn (Iufhlsnn) For Generalized Representation Of Knowledge And Its Cpu Parallel Implementation Using Openmp -- Chapter 25. Performance Evaluation Of Multihop Multibranch Df Relaying Cooperative Wireless Network -- Chapter 26. Predicting Property Prices – A Universal Model -- Chapter 27. Facial Based Human Age Estimation Using Deep Belief Network. -- Chapter 28. Randomized Agent Based Model For Mobile Customer Retention Behaviour Prediction -- Chapter 29. Keyword-Based Approach For Detecting Civil Unrest Events From Online Social Media -- Chapter 30. Socioeconomic Status Classification Of Geographic Regions In Sri Lanka Through Anonymised Call Detail Records -- Chapter 31. Hand Gesture Based Human-Computer Interaction Using Arduino -- Chapter 32. An Automatic Diabetes Risk Assessment System Using Iot Cloud Platform -- Chapter 33. Message And Image Encryption Embedding Data To Gf(2M) Elliptic Curve Point For Nodes In Wireless Sensor Networks -- Chapter 34. Crack Detection In Welded Images – A Comprehensive Survey -- Chapter 35. An Effective Hybridized Classifier Integrated With Homomorphic Encryption To Enhance Big Data Security -- Chapter 36. Ai Powered Analytics App For Visualizing Accident-Prone Areas -- Chapter 37. Iot Based Autonomous Inventory Management For Warehouses -- Chapter 38. Internal Repeats Of Human Organs On Cloud -- Chapter 39. Bitcoin Prediction And Timeseries Analysis -- Chapter 40. Smart Active Helmet. |
Record Nr. | UNINA-9910366581203321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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