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Bioremediation : a sustainable approach to preserving earth's water / / [edited by] Sanjay K. Sharma, JECRC University, Jaipur
| Bioremediation : a sustainable approach to preserving earth's water / / [edited by] Sanjay K. Sharma, JECRC University, Jaipur |
| Pubbl/distr/stampa | Boca Raton, Florida : , : CRC Press, , 2019 |
| Descrizione fisica | 1 online resource (xvi, 264 pages) : illustrations |
| Disciplina | 628.162 |
| Soggetto topico |
Water - Purification - Biological treatment
Green chemistry Bioremediation |
| ISBN |
0-429-95254-6
0-429-95255-4 0-429-48965-X 9780429952548 9780429489655 042948965X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Green chemistry and its applications in water remediation / S. Atalay, G. Ersöz, and Sanjay K. Sharma -- Share of bioremediation in research journals : a bibliometric study / Hasan Demir and Sanjay K. Sharma -- Biofunctionalized adsorbents for treatment of industrial effluents / P. Banerjee, A. Mukhopadhyay, and P. Das -- Applications of biosorption in heavy metals removal / F. E. Soetaredjo, S. P. Santoso, L Laysandra, K. Foe, and S. Ismadji -- Biodegradation of synthetic dyes in wastewaters / S. Ortiz-Monsalve and M. Gutterres -- The cross-talk between bioremediation and valuation of residues of the olive-oil production chain / Ana Filipa Domingues, Inês Correia Rosa, Ruth Pereira, and Joana Luisa Pereira -- Applications of biosorption in dyes removal / Jacqueline Benvenuti, Santiago Ortiz-Monsalve, Bianca Mella, and Mariliz Gutterres -- Use of bioremeidation in treatment of industrial effluents / A. Gürses and K. Güneş -- Biosorption : a promising technique against dye removal / G. Ersöz and S. Atalay -- Green synthesis of carbonaceous adsorbents and their application for removal of polyaromatic hydrocarbons from water / S. R. Barman, A. Mukhopadhyay, and P. Das |
| Record Nr. | UNINA-9910793960903321 |
| Boca Raton, Florida : , : CRC Press, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bioremediation : a sustainable approach to preserving earth's water / / [edited by] Sanjay K. Sharma, JECRC University, Jaipur
| Bioremediation : a sustainable approach to preserving earth's water / / [edited by] Sanjay K. Sharma, JECRC University, Jaipur |
| Pubbl/distr/stampa | Boca Raton, Florida : , : CRC Press, , 2019 |
| Descrizione fisica | 1 online resource (xvi, 264 pages) : illustrations |
| Disciplina | 628.162 |
| Soggetto topico |
Water - Purification - Biological treatment
Green chemistry Bioremediation |
| ISBN |
0-429-95254-6
0-429-95255-4 0-429-48965-X 9780429952548 9780429489655 042948965X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Green chemistry and its applications in water remediation / S. Atalay, G. Ersöz, and Sanjay K. Sharma -- Share of bioremediation in research journals : a bibliometric study / Hasan Demir and Sanjay K. Sharma -- Biofunctionalized adsorbents for treatment of industrial effluents / P. Banerjee, A. Mukhopadhyay, and P. Das -- Applications of biosorption in heavy metals removal / F. E. Soetaredjo, S. P. Santoso, L Laysandra, K. Foe, and S. Ismadji -- Biodegradation of synthetic dyes in wastewaters / S. Ortiz-Monsalve and M. Gutterres -- The cross-talk between bioremediation and valuation of residues of the olive-oil production chain / Ana Filipa Domingues, Inês Correia Rosa, Ruth Pereira, and Joana Luisa Pereira -- Applications of biosorption in dyes removal / Jacqueline Benvenuti, Santiago Ortiz-Monsalve, Bianca Mella, and Mariliz Gutterres -- Use of bioremeidation in treatment of industrial effluents / A. Gürses and K. Güneş -- Biosorption : a promising technique against dye removal / G. Ersöz and S. Atalay -- Green synthesis of carbonaceous adsorbents and their application for removal of polyaromatic hydrocarbons from water / S. R. Barman, A. Mukhopadhyay, and P. Das |
| Record Nr. | UNINA-9910828594503321 |
| Boca Raton, Florida : , : CRC Press, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Biosurfactants : research trends and applications / / edited by Catherine N. Mulligan, Sanjay K. Sharma, Ackmez Mudhoo
| Biosurfactants : research trends and applications / / edited by Catherine N. Mulligan, Sanjay K. Sharma, Ackmez Mudhoo |
| Pubbl/distr/stampa | Boca Raton, FL : , : Taylor & Francis, , [2014] |
| Descrizione fisica | 1 online resource (346 p.) |
| Disciplina |
541.33
541/.33 |
| Soggetto topico |
Biosurfactants
Surface chemistry |
| ISBN |
0-429-09886-3
1-4665-1823-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front Cover; Back Cover |
| Record Nr. | UNINA-9910787331003321 |
| Boca Raton, FL : , : Taylor & Francis, , [2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Biosurfactants : research trends and applications / / edited by Catherine N. Mulligan, Sanjay K. Sharma, Ackmez Mudhoo
| Biosurfactants : research trends and applications / / edited by Catherine N. Mulligan, Sanjay K. Sharma, Ackmez Mudhoo |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Boca Raton, FL : , : Taylor & Francis, , [2014] |
| Descrizione fisica | 1 online resource (346 p.) |
| Disciplina |
541.33
541/.33 |
| Soggetto topico |
Biosurfactants
Surface chemistry |
| ISBN |
9781040196892
1040196896 9780429098864 0429098863 9781466518230 1466518235 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front Cover; Back Cover |
| Record Nr. | UNINA-9910808867403321 |
| Boca Raton, FL : , : Taylor & Francis, , [2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Green chemistry for dyes removal from wastewater : research trends and applications / / edited by Sanjay K. Sharma, FRSC
| Green chemistry for dyes removal from wastewater : research trends and applications / / edited by Sanjay K. Sharma, FRSC |
| Pubbl/distr/stampa | Salem, Massachusetts ; ; Hoboken, New Jersey : , : Scrivener Publishing : , : Wiley, , 2015 |
| Descrizione fisica | 1 online resource (823 p.) |
| Disciplina | 628.1/6936 |
| Soggetto topico |
Dyes and dyeing - Waste disposal
Green chemistry Textile waste |
| ISBN |
1-118-72118-7
1-118-72100-4 1-118-72074-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Half Title page; Title page; Copyright page; Dedication; Preface; Acknowledgements; About the Editor; Chapter 1: Removal of Organic Dyes from Industrial Effluents: An Overview of Physical and Biotechnological Applications; 1.1 Introduction; 1.2 Classification of Dyes; 1.3 Technologies for Color Removal; References; Chapter 2: Novel Carbon-Based Nanoadsorbents for Removal of Synthetic Textile Dyes from Wastewaters; 2.1 Introduction; 2.2 Basic Properties of Carbon Nanoadsorbents; 2.3 Adsorpton of Textile Dyes by Carbon Nanoadsorbents
2.4 Mechanism of Dye Adsorption onto Carbon-Based Nanoadsorbents2.5 Conclusion and Future Perspectives; References; Chapter 3: Advanced Oxidation Processes for Removal of Dyes from Aqueous Media; 3.1 Introduction; 3.2 Advanced Oxidation Processes; 3.3 Concluding Remarks; References; Chapter 4: Photocatalytic Processes for the Removal of Dye; 4.1 Introduction; 4.2 Photocatalysis - An Emerging Technology; 4.3 Photo-Oxidation Mechanism; 4.4 Solar Photocatalysis/Photoreactors; 4.5 Solar Photoreactor for Degradation of Different Dyes; 4.6 Dependence of Dye Degradation on Different Parameters 4.7 ConclusionsAcknowledgement; References; Chapter 5: Removal of Dyes from Effluents Using Biowaste-Derived Adsorbents; 5.1 Introduction; 5.2 Agro-Based Waste Materials as Dye Adsorbents; References; Chapter 6: Use of Fungal Laccases and Peroxidases for Enzymatic Treatment of Wastewater Containing Synthetic Dyes; 6.1 Introduction; 6.2 Textile Dyes - Classifications, Chemical Structures and Environmental Impacts; 6.3 Biodegradation of Synthetic Dyes by White Rot Fungi; 6.4 Fungal Decolorization Mechanisms and Involvement of Ligninolytic Enzymes 6.5 Classification and Enzymology of Ligninolytic Enzymes6.6 Enzymatic Treatment of Synthetic Dyes; 6.7 Concluding Remarks; Acknowledgements; References; Chapter 7: Single and Hybrid Applications of Ultrasound for Decolorization and Degradation of Textile Dye Residuals in Water; 7.1 Overview of the Textile Industry, Dyestuff and Dyeing Mill Effluents; 7.2 Sonication: A Viable AOP for Decolorizing/Detoxifying Dying Process Effluents; 7.3 Hybrid Processes with Ultrasound: A Synergy of Combinations; 7.4 Conclusions; References Chapter 8: Biosorption of Organic Dyes: Research Opportunities and Challenges8.1 General Considerations; 8.2 Biosorbents; 8.3 Factors Affecting Biosorption; 8.4 Biosorption Isotherms, Thermodynamics and Kinetics; 8.5 Future Perspectives and Challenges; References; Chapter 9: Dye Adsorption on Expanding Three-Layer Clays; 9.1 Introduction; 9.2 Classification of Dyes; 9.3 The Expanding Three-Layer Clay Minerals and Dye Adsorption; 9.4 General Remarks; References; Chapter 10: Non-conventional Adsorbents for Dye Removal; 10.1 Introduction; 10.2 Activated Carbons from Solid Wastes; 10.3 Clays 10.4 Siliceous Materials |
| Record Nr. | UNINA-9910132262903321 |
| Salem, Massachusetts ; ; Hoboken, New Jersey : , : Scrivener Publishing : , : Wiley, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Green chemistry for dyes removal from wastewater : research trends and applications / / edited by Sanjay K. Sharma, FRSC
| Green chemistry for dyes removal from wastewater : research trends and applications / / edited by Sanjay K. Sharma, FRSC |
| Pubbl/distr/stampa | Salem, Massachusetts ; ; Hoboken, New Jersey : , : Scrivener Publishing : , : Wiley, , 2015 |
| Descrizione fisica | 1 online resource (823 p.) |
| Disciplina | 628.1/6936 |
| Soggetto topico |
Dyes and dyeing - Waste disposal
Green chemistry Textile waste |
| ISBN |
1-118-72118-7
1-118-72100-4 1-118-72074-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Half Title page; Title page; Copyright page; Dedication; Preface; Acknowledgements; About the Editor; Chapter 1: Removal of Organic Dyes from Industrial Effluents: An Overview of Physical and Biotechnological Applications; 1.1 Introduction; 1.2 Classification of Dyes; 1.3 Technologies for Color Removal; References; Chapter 2: Novel Carbon-Based Nanoadsorbents for Removal of Synthetic Textile Dyes from Wastewaters; 2.1 Introduction; 2.2 Basic Properties of Carbon Nanoadsorbents; 2.3 Adsorpton of Textile Dyes by Carbon Nanoadsorbents
2.4 Mechanism of Dye Adsorption onto Carbon-Based Nanoadsorbents2.5 Conclusion and Future Perspectives; References; Chapter 3: Advanced Oxidation Processes for Removal of Dyes from Aqueous Media; 3.1 Introduction; 3.2 Advanced Oxidation Processes; 3.3 Concluding Remarks; References; Chapter 4: Photocatalytic Processes for the Removal of Dye; 4.1 Introduction; 4.2 Photocatalysis - An Emerging Technology; 4.3 Photo-Oxidation Mechanism; 4.4 Solar Photocatalysis/Photoreactors; 4.5 Solar Photoreactor for Degradation of Different Dyes; 4.6 Dependence of Dye Degradation on Different Parameters 4.7 ConclusionsAcknowledgement; References; Chapter 5: Removal of Dyes from Effluents Using Biowaste-Derived Adsorbents; 5.1 Introduction; 5.2 Agro-Based Waste Materials as Dye Adsorbents; References; Chapter 6: Use of Fungal Laccases and Peroxidases for Enzymatic Treatment of Wastewater Containing Synthetic Dyes; 6.1 Introduction; 6.2 Textile Dyes - Classifications, Chemical Structures and Environmental Impacts; 6.3 Biodegradation of Synthetic Dyes by White Rot Fungi; 6.4 Fungal Decolorization Mechanisms and Involvement of Ligninolytic Enzymes 6.5 Classification and Enzymology of Ligninolytic Enzymes6.6 Enzymatic Treatment of Synthetic Dyes; 6.7 Concluding Remarks; Acknowledgements; References; Chapter 7: Single and Hybrid Applications of Ultrasound for Decolorization and Degradation of Textile Dye Residuals in Water; 7.1 Overview of the Textile Industry, Dyestuff and Dyeing Mill Effluents; 7.2 Sonication: A Viable AOP for Decolorizing/Detoxifying Dying Process Effluents; 7.3 Hybrid Processes with Ultrasound: A Synergy of Combinations; 7.4 Conclusions; References Chapter 8: Biosorption of Organic Dyes: Research Opportunities and Challenges8.1 General Considerations; 8.2 Biosorbents; 8.3 Factors Affecting Biosorption; 8.4 Biosorption Isotherms, Thermodynamics and Kinetics; 8.5 Future Perspectives and Challenges; References; Chapter 9: Dye Adsorption on Expanding Three-Layer Clays; 9.1 Introduction; 9.2 Classification of Dyes; 9.3 The Expanding Three-Layer Clay Minerals and Dye Adsorption; 9.4 General Remarks; References; Chapter 10: Non-conventional Adsorbents for Dye Removal; 10.1 Introduction; 10.2 Activated Carbons from Solid Wastes; 10.3 Clays 10.4 Siliceous Materials |
| Record Nr. | UNINA-9910815068403321 |
| Salem, Massachusetts ; ; Hoboken, New Jersey : , : Scrivener Publishing : , : Wiley, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine learning approaches for convergence of IoT and blockchain / / edited by Krishna Kant Singh, Akansha Singh, Sanjay K. Sharma
| Machine learning approaches for convergence of IoT and blockchain / / edited by Krishna Kant Singh, Akansha Singh, Sanjay K. Sharma |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley-Scrivener, , [2021] |
| Descrizione fisica | 1 online resource (256 pages) |
| Disciplina | 006.31 |
| Soggetto topico |
Machine learning
Internet of things Blockchains (Databases) |
| ISBN |
1-119-76187-5
1-119-76188-3 1-119-76180-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- 1 Blockchain and Internet of Things Across Industries -- 1.1 Introduction -- 1.2 Insight About Industry -- 1.2.1 Agriculture Industry -- 1.2.2 Manufacturing Industry -- 1.2.3 Food Production Industry -- 1.2.4 Healthcare Industry -- 1.2.5 Military -- 1.2.6 IT Industry -- 1.3 What is Blockchain? -- 1.4 What is IoT? -- 1.5 Combining IoT and Blockchain -- 1.5.1 Agriculture Industry -- 1.5.2 Manufacturing Industry -- 1.5.3 Food Processing Industry -- 1.5.4 Healthcare Industry -- 1.5.5 Military -- 1.5.6 Information Technology Industry -- 1.6 Observing Economic Growth and Technology's Impact -- 1.7 Applications of IoT and Blockchain Beyond Industries -- 1.8 Conclusion -- References -- 2 Layered Safety Model for IoT Services Through Blockchain -- 2.1 Introduction -- 2.1.1 IoT Factors Impacting Security -- 2.2 IoT Applications -- 2.3 IoT Model With Communication Parameters -- 2.3.1 RFID (Radio Frequency Identification) -- 2.3.2 WSH (Wireless Sensor Network) -- 2.3.3 Middleware (Software and Hardware) -- 2.3.4 Computing Service (Cloud) -- 2.3.5 IoT Software -- 2.4 Security and Privacy in IoT Services -- 2.5 Blockchain Usages in IoT -- 2.6 Blockchain Model With Cryptography -- 2.6.1 Variations of Blockchain -- 2.7 Solution to IoT Through Blockchain -- 2.8 Conclusion -- References -- 3 Internet of Things Security Using AI and Blockchain -- 3.1 Introduction -- 3.2 IoT and Its Application -- 3.3 Most Popular IoT and Their Uses -- 3.4 Use of IoT in Security -- 3.5 What is AI? -- 3.6 Applications of AI -- 3.7 AI and Security -- 3.8 Advantages of AI -- 3.9 Timeline of Blockchain -- 3.10 Types of Blockchain -- 3.11 Working of Blockchain -- 3.12 Advantages of Blockchain Technology -- 3.13 Using Blockchain Technology With IoT -- 3.14 IoT Security Using AI and Blockchain.
3.15 AI Integrated IoT Home Monitoring System -- 3.16 Smart Homes With the Concept of Blockchain and AI -- 3.17 Smart Sensors -- 3.18 Authentication Using Blockchain -- 3.19 Banking Transactions Using Blockchain -- 3.20 Security Camera -- 3.21 Other Ways to Fight Cyber Attacks -- 3.22 Statistics on Cyber Attacks -- 3.23 Conclusion -- References -- 4 Amalgamation of IoT, ML, and Blockchain in the Healthcare Regime -- 4.1 Introduction -- 4.2 What is Internet of Things? -- 4.2.1 Internet of Medical Things -- 4.2.2 Challenges of the IoMT -- 4.2.3 Use of IoT in Alzheimer Disease -- 4.3 Machine Learning -- 4.3.1 Case 1: Multilayer Perceptron Network -- 4.3.2 Case 2: Vector Support Machine -- 4.3.3 Applications of the Deep Learning in the Healthcare Sector -- 4.4 Role of the Blockchain in the Healthcare Field -- 4.4.1 What is Blockchain Technology? -- 4.4.2 Paradigm Shift in the Security of Healthcare Data Through Blockchain -- 4.5 Conclusion -- References -- 5 Application of Machine Learning and IoT for Smart Cities -- 5.1 Functionality of Image Analytics -- 5.2 Issues Related to Security and Privacy in IoT -- 5.3 Machine Learning Algorithms and Blockchain Methodologies -- 5.3.1 Intrusion Detection System -- 5.3.2 Deep Learning and Machine Learning Models -- 5.3.3 Artificial Neural Networks -- 5.3.4 Hybrid Approaches -- 5.3.5 Review and Taxonomy of Machine Learning -- 5.4 Machine Learning Open Source Tools for Big Data -- 5.5 Approaches and Challenges of Machine Learning Algorithms in Big Data -- 5.6 Conclusion -- References -- 6 Machine Learning Applications for IoT Healthcare -- 6.1 Introduction -- 6.2 Machine Learning -- 6.2.1 Types of Machine Learning Techniques -- 6.2.2 Applications of Machine Learning -- 6.3 IoT in Healthcare -- 6.3.1 IoT Architecture for Healthcare System -- 6.4 Machine Learning and IoT. 6.4.1 Application of ML and IoT in Healthcare -- 6.5 Conclusion -- References -- 7 Blockchain for Vehicular Ad Hoc Network and Intelligent Transportation System: A Comprehensive Study -- 7.1 Introduction -- 7.2 Related Work -- 7.3 Connected Vehicles and Intelligent Transportation System -- 7.3.1 VANET -- 7.3.2 Blockchain Technology and VANET -- 7.4 An ITS-Oriented Blockchain Model -- 7.5 Need of Blockchain -- 7.5.1 Food Track and Trace -- 7.5.2 Electric Vehicle Recharging -- 7.5.3 Smart City and Smart Vehicles -- 7.6 Implementation of Blockchain Supported Intelligent Vehicles -- 7.7 Conclusion -- 7.8 Future Scope -- References -- 8 Applications of Image Processing in Teleradiology for the Medical Data Analysis and Transfer Based on IOT -- 8.1 Introduction -- 8.2 Pre-Processing -- 8.2.1 Principle of Diffusion Filtering -- 8.3 Improved FCM Based on Crow Search Optimization -- 8.4 Prediction-Based Lossless Compression Model -- 8.5 Results and Discussion -- 8.6 Conclusion -- Acknowledgment -- References -- 9 Innovative Ideas to Build Smart Cities with the Help of Machine and Deep Learning and IoT -- 9.1 Introduction -- 9.2 Related Work -- 9.3 What Makes Smart Cities Smart? -- 9.3.1 Intense Traffic Management -- 9.3.2 Smart Parking -- 9.3.3 Smart Waste Administration -- 9.3.4 Smart Policing -- 9.3.5 Shrewd Lighting -- 9.3.6 Smart Power -- 9.4 In Healthcare System -- 9.5 In Homes -- 9.6 In Aviation -- 9.7 In Solving Social Problems -- 9.8 Uses of AI-People -- 9.8.1 Google Maps -- 9.8.2 Ridesharing -- 9.8.3 Voice-to-Text -- 9.8.4 Individual Assistant -- 9.9 Difficulties and Profit -- 9.10 Innovations in Smart Cities -- 9.11 Beyond Humans Focus -- 9.12 Illustrative Arrangement -- 9.13 Smart Cities with No Differentiation -- 9.14 Smart City and AI -- 9.15 Further Associated Technologies -- 9.15.1 Model Identification -- 9.15.2 Picture Recognition. 9.15.3 IoT -- 9.15.4 Big Data -- 9.15.5 Deep Learning -- 9.16 Challenges and Issues -- 9.16.1 Profound Learning Models -- 9.16.2 Deep Learning Paradigms -- 9.16.3 Confidentiality -- 9.16.4 Information Synthesis -- 9.16.5 Distributed Intelligence -- 9.16.6 Restrictions of Deep Learning -- 9.17 Conclusion and Future Scope -- References -- Index -- EULA. |
| Record Nr. | UNINA-9910554844003321 |
| Hoboken, New Jersey : , : Wiley-Scrivener, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine learning approaches for convergence of IoT and blockchain / / edited by Krishna Kant Singh, Akansha Singh, Sanjay K. Sharma
| Machine learning approaches for convergence of IoT and blockchain / / edited by Krishna Kant Singh, Akansha Singh, Sanjay K. Sharma |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley-Scrivener, , [2021] |
| Descrizione fisica | 1 online resource (256 pages) |
| Disciplina | 006.31 |
| Soggetto topico |
Machine learning
Internet of things Blockchains (Databases) |
| ISBN |
1-119-76187-5
1-119-76188-3 1-119-76180-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- 1 Blockchain and Internet of Things Across Industries -- 1.1 Introduction -- 1.2 Insight About Industry -- 1.2.1 Agriculture Industry -- 1.2.2 Manufacturing Industry -- 1.2.3 Food Production Industry -- 1.2.4 Healthcare Industry -- 1.2.5 Military -- 1.2.6 IT Industry -- 1.3 What is Blockchain? -- 1.4 What is IoT? -- 1.5 Combining IoT and Blockchain -- 1.5.1 Agriculture Industry -- 1.5.2 Manufacturing Industry -- 1.5.3 Food Processing Industry -- 1.5.4 Healthcare Industry -- 1.5.5 Military -- 1.5.6 Information Technology Industry -- 1.6 Observing Economic Growth and Technology's Impact -- 1.7 Applications of IoT and Blockchain Beyond Industries -- 1.8 Conclusion -- References -- 2 Layered Safety Model for IoT Services Through Blockchain -- 2.1 Introduction -- 2.1.1 IoT Factors Impacting Security -- 2.2 IoT Applications -- 2.3 IoT Model With Communication Parameters -- 2.3.1 RFID (Radio Frequency Identification) -- 2.3.2 WSH (Wireless Sensor Network) -- 2.3.3 Middleware (Software and Hardware) -- 2.3.4 Computing Service (Cloud) -- 2.3.5 IoT Software -- 2.4 Security and Privacy in IoT Services -- 2.5 Blockchain Usages in IoT -- 2.6 Blockchain Model With Cryptography -- 2.6.1 Variations of Blockchain -- 2.7 Solution to IoT Through Blockchain -- 2.8 Conclusion -- References -- 3 Internet of Things Security Using AI and Blockchain -- 3.1 Introduction -- 3.2 IoT and Its Application -- 3.3 Most Popular IoT and Their Uses -- 3.4 Use of IoT in Security -- 3.5 What is AI? -- 3.6 Applications of AI -- 3.7 AI and Security -- 3.8 Advantages of AI -- 3.9 Timeline of Blockchain -- 3.10 Types of Blockchain -- 3.11 Working of Blockchain -- 3.12 Advantages of Blockchain Technology -- 3.13 Using Blockchain Technology With IoT -- 3.14 IoT Security Using AI and Blockchain.
3.15 AI Integrated IoT Home Monitoring System -- 3.16 Smart Homes With the Concept of Blockchain and AI -- 3.17 Smart Sensors -- 3.18 Authentication Using Blockchain -- 3.19 Banking Transactions Using Blockchain -- 3.20 Security Camera -- 3.21 Other Ways to Fight Cyber Attacks -- 3.22 Statistics on Cyber Attacks -- 3.23 Conclusion -- References -- 4 Amalgamation of IoT, ML, and Blockchain in the Healthcare Regime -- 4.1 Introduction -- 4.2 What is Internet of Things? -- 4.2.1 Internet of Medical Things -- 4.2.2 Challenges of the IoMT -- 4.2.3 Use of IoT in Alzheimer Disease -- 4.3 Machine Learning -- 4.3.1 Case 1: Multilayer Perceptron Network -- 4.3.2 Case 2: Vector Support Machine -- 4.3.3 Applications of the Deep Learning in the Healthcare Sector -- 4.4 Role of the Blockchain in the Healthcare Field -- 4.4.1 What is Blockchain Technology? -- 4.4.2 Paradigm Shift in the Security of Healthcare Data Through Blockchain -- 4.5 Conclusion -- References -- 5 Application of Machine Learning and IoT for Smart Cities -- 5.1 Functionality of Image Analytics -- 5.2 Issues Related to Security and Privacy in IoT -- 5.3 Machine Learning Algorithms and Blockchain Methodologies -- 5.3.1 Intrusion Detection System -- 5.3.2 Deep Learning and Machine Learning Models -- 5.3.3 Artificial Neural Networks -- 5.3.4 Hybrid Approaches -- 5.3.5 Review and Taxonomy of Machine Learning -- 5.4 Machine Learning Open Source Tools for Big Data -- 5.5 Approaches and Challenges of Machine Learning Algorithms in Big Data -- 5.6 Conclusion -- References -- 6 Machine Learning Applications for IoT Healthcare -- 6.1 Introduction -- 6.2 Machine Learning -- 6.2.1 Types of Machine Learning Techniques -- 6.2.2 Applications of Machine Learning -- 6.3 IoT in Healthcare -- 6.3.1 IoT Architecture for Healthcare System -- 6.4 Machine Learning and IoT. 6.4.1 Application of ML and IoT in Healthcare -- 6.5 Conclusion -- References -- 7 Blockchain for Vehicular Ad Hoc Network and Intelligent Transportation System: A Comprehensive Study -- 7.1 Introduction -- 7.2 Related Work -- 7.3 Connected Vehicles and Intelligent Transportation System -- 7.3.1 VANET -- 7.3.2 Blockchain Technology and VANET -- 7.4 An ITS-Oriented Blockchain Model -- 7.5 Need of Blockchain -- 7.5.1 Food Track and Trace -- 7.5.2 Electric Vehicle Recharging -- 7.5.3 Smart City and Smart Vehicles -- 7.6 Implementation of Blockchain Supported Intelligent Vehicles -- 7.7 Conclusion -- 7.8 Future Scope -- References -- 8 Applications of Image Processing in Teleradiology for the Medical Data Analysis and Transfer Based on IOT -- 8.1 Introduction -- 8.2 Pre-Processing -- 8.2.1 Principle of Diffusion Filtering -- 8.3 Improved FCM Based on Crow Search Optimization -- 8.4 Prediction-Based Lossless Compression Model -- 8.5 Results and Discussion -- 8.6 Conclusion -- Acknowledgment -- References -- 9 Innovative Ideas to Build Smart Cities with the Help of Machine and Deep Learning and IoT -- 9.1 Introduction -- 9.2 Related Work -- 9.3 What Makes Smart Cities Smart? -- 9.3.1 Intense Traffic Management -- 9.3.2 Smart Parking -- 9.3.3 Smart Waste Administration -- 9.3.4 Smart Policing -- 9.3.5 Shrewd Lighting -- 9.3.6 Smart Power -- 9.4 In Healthcare System -- 9.5 In Homes -- 9.6 In Aviation -- 9.7 In Solving Social Problems -- 9.8 Uses of AI-People -- 9.8.1 Google Maps -- 9.8.2 Ridesharing -- 9.8.3 Voice-to-Text -- 9.8.4 Individual Assistant -- 9.9 Difficulties and Profit -- 9.10 Innovations in Smart Cities -- 9.11 Beyond Humans Focus -- 9.12 Illustrative Arrangement -- 9.13 Smart Cities with No Differentiation -- 9.14 Smart City and AI -- 9.15 Further Associated Technologies -- 9.15.1 Model Identification -- 9.15.2 Picture Recognition. 9.15.3 IoT -- 9.15.4 Big Data -- 9.15.5 Deep Learning -- 9.16 Challenges and Issues -- 9.16.1 Profound Learning Models -- 9.16.2 Deep Learning Paradigms -- 9.16.3 Confidentiality -- 9.16.4 Information Synthesis -- 9.16.5 Distributed Intelligence -- 9.16.6 Restrictions of Deep Learning -- 9.17 Conclusion and Future Scope -- References -- Index -- EULA. |
| Record Nr. | UNINA-9910830668203321 |
| Hoboken, New Jersey : , : Wiley-Scrivener, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||