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Advanced Industrial Wastewater Treatment and Reclamation of Water : Comparative Study of Water Pollution Index During Pre-Industrial, Industrial Period and Prospect of Wastewater Treatment for Water Resource Conservation
| Advanced Industrial Wastewater Treatment and Reclamation of Water : Comparative Study of Water Pollution Index During Pre-Industrial, Industrial Period and Prospect of Wastewater Treatment for Water Resource Conservation |
| Autore | Roy Swapnila |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2021 |
| Descrizione fisica | 1 online resource (271 pages) |
| Altri autori (Persone) |
GargAlok
GargShivani TranTien Anh |
| Collana | Environmental Science and Engineering Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN |
9783030838119
9783030838102 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910510548303321 |
Roy Swapnila
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| Cham : , : Springer International Publishing AG, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence and Edge Computing for Sustainable Ocean Health / / edited by Debashis De, Diganta Sengupta, Tien Anh Tran
| Artificial Intelligence and Edge Computing for Sustainable Ocean Health / / edited by Debashis De, Diganta Sengupta, Tien Anh Tran |
| Autore | De Debashis |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (456 pages) |
| Disciplina | 006.31 |
| Altri autori (Persone) |
SenguptaDiganta
TranTien Anh |
| Collana | The Springer Series in Applied Machine Learning |
| Soggetto topico |
Machine learning
Artificial intelligence Oceanography Internet of things Mechatronics Wireless communication systems Mobile communication systems Machine Learning Artificial Intelligence Ocean Sciences Internet of Things Wireless and Mobile Communication |
| ISBN | 3-031-64642-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Section 1 AI for Ocean Health -- Chapter 1 Artificial Intelligence for Sustainable Ocean Health -- Chapter 2 Role of Artificial Intelligence and Technologies in Improving Ocean Health in Promoting Tourism -- Chapter 3 Leveraging the Power of AI for Sustainable Oceans -- Chapter 4 Blue Ocean and Machine Learning Trajectories SDG 14 - Life below Water for Handling Ocean Pollution: Metaverse Conserve Ocean Health Sustainability through the Lens of Transboundary Legal-Policy Regulations as Articulating Space for Futuristic Changes -- Chapter 5 Marine Resources: Identification, Restoring & Monitoring of Fisheries Food Resources Using Deep Learning and Image Processing -- Chapter 6 Utilization of Underwater Wireless Sensor Network through Supervising a Random Network Environment in the Ocean Environment -- Chapter 7 Role of Pre-processing Algorithm in the Underwater Image Analysis -- Section 2 Explainable AI for Ocean Health -- Chapter 8 Sustainable Development Goal 14: Explainable AI (XAI) for Ocean Health -- Chapter 9 Explainable AI (XAI) for Ocean Health: Exploring the Role of Explainable AI in Enhancing Ocean Health -- Chapter 10. A Comprehensive Study of AI (XAI) for Ocean Health Monitoring -- Chapter 11. Explainable Artificial Intelligence for Ocean Health: Applications and Challenges -- Section 3: Edge computing based IoT for Ocean Health -- Chapter 12. Revolutionizing Internet of Underwater Things with Federated Learning -- Chapter 13. Federated Learning for Internet of Underwater Drone Things -- Chapter 14. Enhancing Underwater Imagery with AI/ML and IoT in ROV Technology -- Chapter 15. Revolutionizing Ocean Cleanup: AI and Robotics Tackle Pollution Challenges -- Chapter 16. Review on the Optics and Photonics in Environmental Sustainability -- Chapter 17. Intelligent Hash Function Based Key-Exchange Scheme for Ocean Underwater Data Transmission -- Chapter 18. Artificial Intelligence as Key-enabler for Safeguarding the Marine Resources. |
| Record Nr. | UNINA-9910887884703321 |
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De Debashis
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Supervised and Unsupervised Data Engineering for Multimedia Data
| Supervised and Unsupervised Data Engineering for Multimedia Data |
| Autore | Swarnkar Suman Kumar |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2024 |
| Descrizione fisica | 1 online resource (332 pages) |
| Altri autori (Persone) |
PatraJ. P
KshatriSapna Singh RathoreYogesh Kumar TranTien Anh |
| ISBN |
1-119-78644-4
1-119-78643-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Dedication Page -- Book Description -- Contents -- List of Figures -- List of Tables -- Preface -- Chapter 1 SLRRT: Sign Language Recognition in Real Time -- 1.1 Introduction -- 1.2 Literature Survey -- 1.3 Model for Sign Recognition Language -- 1.4 Experimentation -- 1.5 Methodology -- 1.6 Experimentation Results -- 1.7 Conclusion -- Future Scope -- References -- Chapter 2 Unsupervised/Supervised Feature Extraction and Feature Selection for Multimedia Data: (Feature extraction with feature selection for Image Forgery Detection) -- 2.1 Introduction -- 2.2 Problem Definition -- 2.3 Proposed Methodology -- 2.4 Experimentation and Results -- 2.5 Feature Selection & -- Pre-Trained CNN Models Description -- 2.6 Bat ELM Optimization Results -- Conclusion -- Declarations -- Consent for Publicaton -- Conflict of Interest -- Acknowledgement -- References -- Chapter 3 Multimedia Data in Healthcare System -- 3.1 Introduction -- 3.2 Recent Trends in Multimedia Marketing -- 3.3 Challenges in Multimedia -- 3.4 Opportunities in Multimedia -- 3.5 Data Visualization in Healthcare -- 3.6 Machine Learning and its Types -- 3.7 Health Monitoring and Management System Using Machine Learning Techniques -- 3.8 Health Monitoring Using K-Prototype Clustering Methods -- 3.9 AI-Based Robotics in E-Healthcare Applications Based on Multimedia Data -- 3.10 Future of AI in Health Care -- 3.11 Emerging Trends in Multimedia Systems -- 3.12 Discussion -- References -- Chapter 4 Automotive Vehicle Data Security Service in IoT Using ACO Algorithm -- Introduction -- Literature Survey -- System Design -- Result and Discussion -- Conclusion -- References -- Chapter 5 Unsupervised/Supervised Algorithms for Multimedia Data in Smart Agriculture -- 5.1 Introduction -- 5.2 Background.
5.3 Applications of Machine Learning Algorithms in Agriculture -- References -- Chapter 6 Secure Medical Image Transmission Using 2-D Tent Cascade Logistic Map -- 6.1 Introduction -- 6.2 Medical Image Encryption Using 2D Tent and Logistic Chaotic Function -- 6.3 Simulation Results and Discussion -- 6.4 Conclusion -- Acknowledgement -- References -- Chapter 7 Personalized Multi-User-Based Movie and Video Recommender System: A Deep Learning Perspective -- 7.1 Introduction -- 7.2 Literature Survey on Video and Movie Recommender Systems -- 7.3 Feature-Based Solutions for Movie and Video Recommender Systems -- 7.4 Fusing: EF - (Early Fusion) and LF - (Late Fusion) -- 7.5 Experimental Setup -- 7.6 Conclusions -- References -- Chapter 8 Sensory Perception of Haptic Rendering in Surgical Simulation -- Introduction -- Methodology -- Background Related Work -- Application -- Case Study -- Future Scope -- Result -- Conclusion -- Acknowledgement -- References -- Chapter 9 Multimedia Data in Modern Education -- Introduction to Multimedia -- Traditional Learning Approaches -- Applications of Multimedia in Education -- Conclusion -- References -- Chapter 10 Assessment of Adjusted and Normalized Mutual Information Variants for Band Selection in Hyperspectral Imagery -- Introduction -- Test Datasets -- Methodology -- Statistical Accuracy Investigations -- Results and Discussion -- Conclusion -- References -- Chapter 11 A Python-Based Machine Learning Classification Approach for Healthcare Applications -- Introduction -- Methodology -- Discussion -- References -- Chapter 12 Supervised and Unsupervised Learning Techniques for Biometric Systems -- Introduction -- Various Biometric Techniques -- Major Biometric-Based Problems from a Security Perspective -- Supervised Learning Methods for Biometric System -- Unsupervised Learning Methods for Biometric System -- Conclusion. References -- About the Editors -- Index -- EULA. |
| Record Nr. | UNINA-9910845600403321 |
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Swarnkar Suman Kumar
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| Newark : , : John Wiley & Sons, Incorporated, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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SUPERVISED AND UNSUPERVISED DATA ENGINEERING FOR MULTIMEDIA DATA / / edited by Suman Kumar Swarnkar, JP Patra, Sapna Singh Kshatri, Yogesh Kumar Rathore and Tien Anh Tran
| SUPERVISED AND UNSUPERVISED DATA ENGINEERING FOR MULTIMEDIA DATA / / edited by Suman Kumar Swarnkar, JP Patra, Sapna Singh Kshatri, Yogesh Kumar Rathore and Tien Anh Tran |
| Autore | Swarnkar Suman Kumar |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Hoboken, NJ, : John Wiley & Sons, Inc., 2024 |
| Descrizione fisica | 1 online resource |
| Disciplina | 005.1 |
| Collana | Advances in data engineering and machine learning |
| Soggetto topico |
Software engineering
Multimedia systems |
| ISBN |
1-119-78643-6
1-119-78644-4 1-119-78642-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Dedication Page -- Book Description -- Contents -- List of Figures -- List of Tables -- Preface -- Chapter 1 SLRRT: Sign Language Recognition in Real Time -- 1.1 Introduction -- 1.2 Literature Survey -- 1.3 Model for Sign Recognition Language -- 1.4 Experimentation -- 1.5 Methodology -- 1.6 Experimentation Results -- 1.7 Conclusion -- Future Scope -- References -- Chapter 2 Unsupervised/Supervised Feature Extraction and Feature Selection for Multimedia Data: (Feature extraction with feature selection for Image Forgery Detection) -- 2.1 Introduction -- 2.2 Problem Definition -- 2.3 Proposed Methodology -- 2.4 Experimentation and Results -- 2.5 Feature Selection & -- Pre-Trained CNN Models Description -- 2.6 Bat ELM Optimization Results -- Conclusion -- Declarations -- Consent for Publicaton -- Conflict of Interest -- Acknowledgement -- References -- Chapter 3 Multimedia Data in Healthcare System -- 3.1 Introduction -- 3.2 Recent Trends in Multimedia Marketing -- 3.3 Challenges in Multimedia -- 3.4 Opportunities in Multimedia -- 3.5 Data Visualization in Healthcare -- 3.6 Machine Learning and its Types -- 3.7 Health Monitoring and Management System Using Machine Learning Techniques -- 3.8 Health Monitoring Using K-Prototype Clustering Methods -- 3.9 AI-Based Robotics in E-Healthcare Applications Based on Multimedia Data -- 3.10 Future of AI in Health Care -- 3.11 Emerging Trends in Multimedia Systems -- 3.12 Discussion -- References -- Chapter 4 Automotive Vehicle Data Security Service in IoT Using ACO Algorithm -- Introduction -- Literature Survey -- System Design -- Result and Discussion -- Conclusion -- References -- Chapter 5 Unsupervised/Supervised Algorithms for Multimedia Data in Smart Agriculture -- 5.1 Introduction -- 5.2 Background.
5.3 Applications of Machine Learning Algorithms in Agriculture -- References -- Chapter 6 Secure Medical Image Transmission Using 2-D Tent Cascade Logistic Map -- 6.1 Introduction -- 6.2 Medical Image Encryption Using 2D Tent and Logistic Chaotic Function -- 6.3 Simulation Results and Discussion -- 6.4 Conclusion -- Acknowledgement -- References -- Chapter 7 Personalized Multi-User-Based Movie and Video Recommender System: A Deep Learning Perspective -- 7.1 Introduction -- 7.2 Literature Survey on Video and Movie Recommender Systems -- 7.3 Feature-Based Solutions for Movie and Video Recommender Systems -- 7.4 Fusing: EF - (Early Fusion) and LF - (Late Fusion) -- 7.5 Experimental Setup -- 7.6 Conclusions -- References -- Chapter 8 Sensory Perception of Haptic Rendering in Surgical Simulation -- Introduction -- Methodology -- Background Related Work -- Application -- Case Study -- Future Scope -- Result -- Conclusion -- Acknowledgement -- References -- Chapter 9 Multimedia Data in Modern Education -- Introduction to Multimedia -- Traditional Learning Approaches -- Applications of Multimedia in Education -- Conclusion -- References -- Chapter 10 Assessment of Adjusted and Normalized Mutual Information Variants for Band Selection in Hyperspectral Imagery -- Introduction -- Test Datasets -- Methodology -- Statistical Accuracy Investigations -- Results and Discussion -- Conclusion -- References -- Chapter 11 A Python-Based Machine Learning Classification Approach for Healthcare Applications -- Introduction -- Methodology -- Discussion -- References -- Chapter 12 Supervised and Unsupervised Learning Techniques for Biometric Systems -- Introduction -- Various Biometric Techniques -- Major Biometric-Based Problems from a Security Perspective -- Supervised Learning Methods for Biometric System -- Unsupervised Learning Methods for Biometric System -- Conclusion. References -- About the Editors -- Index -- EULA. |
| Record Nr. | UNINA-9910877460403321 |
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Swarnkar Suman Kumar
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| Hoboken, NJ, : John Wiley & Sons, Inc., 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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