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AI-enabled 6G networks and applications / / edited by Deepak Gupta, [and four others]
| AI-enabled 6G networks and applications / / edited by Deepak Gupta, [and four others] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , [2023] |
| Descrizione fisica | 1 online resource (179 pages) |
| Disciplina | 621.384 |
| Soggetto topico | Mobile communication systems |
| ISBN |
1-119-81272-0
1-119-81270-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Contents -- List of Contributors -- Preface -- About the Editors -- Chapter 1 Metaheuristic Moth Flame Optimization Based Energy Efficient Clustering Protocol for 6G Enabled Unmanned Aerial Vehicle Networks -- 1.1 Introduction -- 1.2 The Proposed Model -- 1.2.1 Network Model -- 1.2.2 Algorithmic Procedure of MFO Algorithm -- 1.2.3 Design of MMFO-EEC Technique -- 1.3 Experimental Validation -- 1.4 Conclusion -- References -- Chapter 2 A Novel Data Offloading with Deep Learning Enabled Cyberattack Detection Model for Edge Computing in 6G Networks -- 2.1 Introduction -- 2.2 The Proposed Model -- 2.2.1 RNN Based Traffic Flow Forecasting -- 2.2.2 ASCE Based Data Offloading -- 2.2.3 SAE Based Cyberattack Detection -- 2.2.4 CSO Based Parameter Optimization -- 2.3 Performance Validation -- 2.4 Conclusion -- References -- Chapter 3 Henry Gas Solubility Optimization with Deep Learning Enabled Traffic Flow Forecasting in 6G Enabled Vehicular Networks -- 3.1 Introduction -- 3.2 The Proposed Model -- 3.2.1 Z-Score Normalization -- 3.2.2 DBN Based Prediction Model -- 3.2.3 HSGO Based Hyperparameter Optimization Model -- 3.3 Experimental Validation -- 3.4 Conclusion -- References -- Chapter 4 Crow Search Algorithm Based Vector Quantization Approach for Image Compression in 6G Enabled Industrial Internet of Things Environment -- 4.1 Introduction -- 4.2 The Proposed Model -- 4.2.1 Overview of VQ -- 4.2.2 LBG Model -- 4.2.3 Process Involved in CSAVQ-ICIIoT Model -- 4.3 Results and Discussion -- 4.4 Conclusion -- References -- Chapter 5 Design of Artificial Intelligence Enabled Dingo Optimizer for Energy Management in 6G Communication Networks -- 5.1 Introduction -- 5.2 The Proposed Model -- 5.2.1 Process Involved in DOA -- 5.2.2 Steps Involved in Energy Management Scheme.
5.3 Experimental Validation -- 5.4 Conclusion -- References -- Chapter 6 Adaptive Whale Optimization with Deep Learning Enabled RefineDet Network for Vision Assistance on 6G Networks -- 6.1 Introduction -- 6.2 The Proposed Model -- 6.2.1 Image Augmentation and Annotation -- 6.2.2 RefineDet Based Object Detection -- 6.2.3 Hyperparameter Tuning Using AWO Algorithm -- 6.2.4 Distance Measurement -- 6.3 Results and Discussion -- 6.4 Conclusion -- References -- Chapter 7 Efficient Deer Hunting Optimization Algorithm Based Spectrum Sensing Approach for 6G Communication Networks -- 7.1 Introduction -- 7.2 Related Works -- 7.3 The Proposed Model -- 7.4 Experimental Validation -- 7.5 Conclusion -- References -- Chapter 8 Elite Oppositional Hunger Games Search Optimization Based Cooperative Spectrum Sensing Scheme for 6G Cognitive Radio Networks -- 8.1 Introduction -- 8.2 Related Works -- 8.3 The Proposed Model -- 8.3.1 Design of EOHGSO Algorithm -- 8.3.2 Application of EOHGSO Algorithm for CSS -- 8.4 Experimental Validation -- 8.5 Conclusion -- References -- Index -- EULA. |
| Record Nr. | UNINA-9910830135403321 |
| Hoboken, New Jersey : , : Wiley, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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International Conference on Innovative Computing and Communications : Proceedings of ICICC 2022, Volume 1 / / edited by Deepak Gupta, Ashish Khanna, Siddhartha Bhattacharyya, Aboul Ella Hassanien, Sameer Anand, Ajay Jaiswal
| International Conference on Innovative Computing and Communications : Proceedings of ICICC 2022, Volume 1 / / edited by Deepak Gupta, Ashish Khanna, Siddhartha Bhattacharyya, Aboul Ella Hassanien, Sameer Anand, Ajay Jaiswal |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (793 pages) |
| Disciplina | 004 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Telecommunication
Internet of things Machine learning Artificial intelligence Communications Engineering, Networks Internet of Things Machine Learning Artificial Intelligence |
| ISBN | 981-19-2821-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Constructing Interval Type-2 Fuzzy Systems (IT2FS) with Memetic Algorithm: Elucidating Performance with Noisy Data -- Secure Environment Establishment for Multipath Routing -- Comparative Analysis of Transfer Learning and Attention Driven Memory based Learning for Covid-19 Fake News Detection -- Review on Edge Computing Assisted D2D Networks -- Open Daylight SDN and NFV Integration in OpenStack Cloud: Open Source Approach for Improving Network Services -- K-MNSOA: K-Anonymity Model for Privacy in the Presence of Multiple Numerical Sensitive Overlapped Attributes -- Modelling 5G Data using Tree based Machine Learning Models -- A Novel Technique to Detect Inappropriate Content Accessed by Children on Smartphone -- Cold-Start and Data Sparsity Problems in Recommender System: A Concise Review -- A Hybrid Approach to Find COVID-19 Related Lung Infection Utilizing 2 Bit Image Processing -- Acute Leukemia Classification and Prediction in Blood Cells using Convolution Neural Network -- Process Based Multi-Level Homogeneous Ensemble Predictive Model for Analyzing Student’s Academic Performance -- Exposure of Sensitive Data through Blockchain Wallets: A Comparative Analysis -- Classification of Sentiment Reviews for Indian Railways Using Machine Learning Methods -- A Review on Community Detection Using Deep Neural Networks with Enhanced Learning. |
| Record Nr. | UNINA-9910627270603321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Interpretable Cognitive Internet of Things for Healthcare / / edited by Utku Kose, Deepak Gupta, Ashish Khanna, Joel J. P. C. Rodrigues
| Interpretable Cognitive Internet of Things for Healthcare / / edited by Utku Kose, Deepak Gupta, Ashish Khanna, Joel J. P. C. Rodrigues |
| Autore | Kose Utku |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (203 pages) |
| Disciplina | 610.28546 |
| Altri autori (Persone) |
GuptaDeepak, Ph.D.
KhannaAshish RodriguesJoel J. P. C |
| Collana | Internet of Things, Technology, Communications and Computing |
| Soggetto topico |
Telecommunication
Biomedical engineering Medical informatics Communications Engineering, Networks Biomedical Engineering and Bioengineering Health Informatics |
| ISBN | 3-031-08637-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Essentials of Cognitive IoT for Healthcare -- Interpretability Problem in IoT for Healthcare -- Transparent and Black-Box IoT Systems for Healthcare -- Evaluation of Cognitive Capabilities of IoT in Healthcare -- Massive Health Data Analytics for Cognitive IoT -- Usability Evaluation of Cognitive IoT for Healthcare -- Hybrid Methods for Interpretable IoT for Healthcare -- Interpretable Cognitive IoT for Pandemics -- Interpretable Cognitive IoT for Cancer -- Interpretable Cognitive IoT for Sustainable Massive Health -- Interpretable Cognitive IoT for Health Robotics -- Interpretable Cognitive IoT for Personal Healthcare -- Wearables in the Context of IoT for Massive Healthcare -- Security for Massive Health Data Used by Cognitive IoT -- Future Insights for Interpretable Cognitive IoT in Healthcare -- Conclusion. |
| Record Nr. | UNINA-9910734871703321 |
Kose Utku
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of data analytics and management . Volume 1 : ICDAM 2021 ; Jan Wyzykowski University, Poland, June 2021 / / editors, Deepak Gupta [et al.]
| Proceedings of data analytics and management . Volume 1 : ICDAM 2021 ; Jan Wyzykowski University, Poland, June 2021 / / editors, Deepak Gupta [et al.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (821 pages) : illustrations (some color) |
| Disciplina | 005.7 |
| Collana | Lecture notes on data engineering and communications technologies |
| Soggetto topico |
Big data
Computational intelligence |
| ISBN |
981-16-6289-4
981-16-6288-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743371703321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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