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Blockchain Applications in Healthcare : Innovations and Practices
| Blockchain Applications in Healthcare : Innovations and Practices |
| Autore | Choudhury Tanupriya |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2023 |
| Descrizione fisica | 1 online resource (254 pages) |
| Altri autori (Persone) |
KhannaAbhirup
ChatterjeePrasenjit UmJung-Sup BhattacharyaAbhishek |
| ISBN |
1-394-22951-8
1-394-22949-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Contents -- Foreword -- Preface -- Acknowledgments -- Chapter 1. Framework for Blockchain in Healthcare -- 1.1. Concept of Blockchain -- 1.2. Blockchain as distributed database -- 1.3. Architecture of Blockchain in healthcare -- 1.4. Development of Blockchain: A state of art -- 1.5. Information distribution in Blockchain -- 1.6. The growing anticipation of Blockchain -- 1.6.1. Challenges faced by Blockchain -- 1.7. The benefits of Blockchain in healthcare -- 1.8. Open issues related to Blockchain -- 1.9. Future trends of Blockchain -- 1.10. References -- Chapter 2. Role of Smart Contracts in Blockchain -- 2.1. Introduction to Blockchain -- 2.1.1. Types of Blockchain -- 2.1.2. Characteristics of Blockchain -- 2.2. Smart contracts -- 2.2.1. Operating mechanism of smart contracts -- 2.2.2. Applications of smart contracts -- 2.2.3. Programming languages and platforms -- 2.3. Quantitative analysis -- 2.3.1. Results -- 2.4. Role of smart contracts in healthcare -- 2.4.1. Health Insurance -- 2.4.2. Healthcare -- 2.4.3. Telemedicine -- 2.5. Example of smart contracts -- 2.5.1. Simple open auction -- 2.5.2. Voting -- 2.5.3. Patient record -- 2.6. Challenges related to smart contracts -- 2.6.1. Contract vulnerabilities -- 2.6.2. Privacy and legal issues -- 2.6.3. Immutability issue -- 2.7. Conclusion -- 2.8. References -- Chapter 3. Blockchain-based Platforms for the Healthcare Industry -- 3.1. Introduction -- 3.2. Literature review -- 3.3. Blockchain technology -- 3.3.1. Uses of Blockchain in the healthcare sector -- 3.4. Blockchain applications that can be useful for treating the medical sector problems -- 3.4.1. Smart contracts -- 3.4.2. Fraud detection -- 3.4.3. Identity verification -- 3.5. Examples of healthcare platforms using Blockchain -- 3.5.1. Data sharing using Gem Health Network -- 3.5.2. MeDshare.
3.5.3. OmniPHR -- 3.6. Blockchain during the Covid-19 pandemic -- 3.7. Conclusion -- 3.8. References -- Chapter 4. Analyzing and Modeling the Challenges Faced by the Healthcare Sector in the Adoption Process of Blockchain Technologies -- 4.1. Introduction -- 4.2. Literature review -- 4.2.1. Blockchain in healthcare -- 4.3. Challenges of Blockchain in healthcare -- 4.3.1. Technical challenges (TC) -- 4.3.2. Social challenges (SC) -- 4.3.3. Organizational challenges (OC) -- 4.4. Research methodology -- 4.5. Data analysis -- 4.6. Discussion -- 4.7. Conclusion -- 4.8. References -- Chapter 5. Blockchain as an Effective Technology in Maintaining Electronic Health Record Systems -- 5.1. Introduction -- 5.2. Background concepts on Blockchain technology -- 5.2.1. Consensus algorithms -- 5.2.2. Types of Blockchain -- 5.2.3. Smart contracts -- 5.2.4. Features of Blockchain -- 5.2.5. Applications of Blockchain technology -- 5.3. Blockchain in healthcare -- 5.4. Electronic health records using Blockchain -- 5.5. Quantitative analysis -- 5.5.1. Results -- 5.6. Proposed framework for the EHRs using Blockchain -- 5.6.1. System workflow -- 5.7. Issues in Blockchain-based EHRs -- 5.8. Case studies -- 5.8.1. MedRec -- 5.8.2. AI-based solution for EHRs -- 5.8.3. Improving medical record keeping with Blockchain -- 5.9. Conclusion -- 5.10. References -- Chapter 6. An Optimistic Approach to Share Private Health Records Using Blockchain Technology -- 6.1. Introduction -- 6.2. Related work -- 6.2.1. Process of storing larger healthcare data -- 6.3. Blockchain-based EHR system -- 6.3.1. Sharing of data -- 6.3.2. Interoperability -- 6.3.3. A distributed network -- 6.3.4. Shared ledger -- 6.3.5. Digital transactions -- 6.4. Blockchain in healthcare -- 6.4.1. On-chain storage -- 6.4.2. Off-chain storage -- 6.4.3. Trust issues in the context of health information exchange (HIE). 6.5. Conclusion and future scope -- 6.6. References -- Chapter 7. Patient Data Privacy Using Blockchain -- 7.1. Introduction -- 7.2. Threat modeling - digitalization in the healthcare industry -- 7.2.1. Data flow diagram (DFD) -- 7.2.2. Threat analysis -- 7.3. Privacy versus security -- 7.3.1. Privacy in Blockchain -- 7.3.2. Process flow -- 7.4. Regulatory compliance requirements -- 7.4.1. HIPAA, HITRUST, HITECH and GDPR -- 7.4.2. Blockchain as a savior -- 7.5. Differential privacy -- 7.5.1. Local differential privacy versus global differential privacy -- 7.5.2. Quantification of privacy and mathematical form of differential privacy -- 7.5.3. Advantages of using differential privacy in Blockchain -- 7.6. Privacy by Design -- 7.7. Conclusion -- 7.8. References -- Chapter 8. Decentralized Smart Healthcare Systems Using Blockchain and AI -- 8.1. Introduction to the healthcare system -- 8.1.1. Introduction to AI -- 8.1.2. Introduction to Blockchain -- 8.2. Use of AI in healthcare systems -- 8.3. Use of Blockchain in healthcare systems -- 8.4. History of medical care -- 8.4.1. Health claims -- 8.4.2. Interoperability -- 8.4.3. Exposure to healthcare -- 8.4.4. Supply chains -- 8.5. Literature review -- 8.6. Bringing intelligence to medical devices and machines -- 8.7. Using artificial intelligence to transform clinical decision-making in hospitals -- 8.7.1. Advantages of Blockchain in healthcare systems -- 8.8. Results of existing models -- 8.9. Conclusion -- 8.10. References -- Chapter 9. Component-based Healthcare Software Application Using Blockchain -- 9.1. Introduction -- 9.2. Literature review -- 9.3. Software development models -- 9.3.1. Traditional software development methodologies -- 9.3.2. Modern software development methodologies -- 9.4. Proposed model -- 9.4.1. Component-based software development life-cycle. 9.4.2. Component development life-cycle -- 9.5. Comparison among different software development life-cycle models -- 9.6. Conclusion and future works -- 9.7. References -- Chapter 10. The Role of Smart Contracts and Blockchain Technology in Healthcare and Other Use Cases -- 10.1. Introduction -- 10.1.1. Comparison between traditional contracts and smart contracts -- 10.2. Ethereum: Generation Two of Blockchain technology -- 10.2.1. History of Ethereum -- 10.3. Smart contracts -- 10.3.1. How smart contracts work -- 10.3.2. Benefits of smart contracts -- 10.3.3. Roles of smart contracts -- 10.4. Use of smart contracts in healthcare, patient monitoring, and other use cases -- 10.4.1. Transparency in supply chain -- 10.4.2. Electronic health records on the Blockchain -- 10.4.3. Use of smart contracts for insurance and billing in supply chain management -- 10.4.4. Verification of medical personnel's identity cards -- 10.4.5. IoT security for remote patient monitoring -- 10.5. Building smart contracts on the Ethereum Blockchain -- 10.5.1. Ethereum virtual machine (EVM) -- 10.5.2. Gas -- 10.5.3. Solidity -- 10.6. Real-time use cases of smart contracts -- 10.6.1. Smart contracts and insurance -- 10.6.2. Smart contracts in an electric vehicle -- 10.6.3. Smart contracts in the energy sector -- 10.6.4. Intellectual property rights -- 10.6.5. Stock trading -- 10.7. Six companies using smart contracts in real-world applications -- 10.7.1. Slock.It -- 10.7.2. Fizzy AXA -- 10.7.3. Etherparty -- 10.7.4. Propy -- 10.7.5. Populous -- 10.7.6. PolySwarm -- 10.8. Challenges -- 10.9. Historical attacks and issues with smart contracts -- 10.10. Conclusion -- 10.11. References -- Chapter 11. Healthcare Research Using Blockchain Technology: A Future Perspective -- 11.1. Introduction -- 11.2. Benefits of using Blockchain in the healthcare industry. 11.3. Application of Blockchain in the healthcare industry -- 11.4. Merging of Blockchain with artificial intelligence in healthcare -- 11.5. Drawbacks of using Blockchain in the healthcare industry -- 11.6. Conclusion and future scope -- 11.7. References -- List of Authors -- Index -- EULA. |
| Record Nr. | UNINA-9910830701403321 |
Choudhury Tanupriya
|
||
| Newark : , : John Wiley & Sons, Incorporated, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Blockchain Applications in Healthcare : Innovations and Practices
| Blockchain Applications in Healthcare : Innovations and Practices |
| Autore | Choudhury Tanupriya |
| Edizione | [1st edition.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2023 |
| Descrizione fisica | 1 online resource (254 pages) |
| Disciplina | 613.0285 |
| Altri autori (Persone) |
KhannaAbhirup
ChatterjeePrasenjit UmJung-Sup BhattacharyaAbhishek |
| Soggetto topico |
Blockchains (Databases)
Health - Data processing |
| ISBN |
9781394229512
1394229518 9781394229499 1394229496 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Contents -- Foreword -- Preface -- Acknowledgments -- Chapter 1. Framework for Blockchain in Healthcare -- 1.1. Concept of Blockchain -- 1.2. Blockchain as distributed database -- 1.3. Architecture of Blockchain in healthcare -- 1.4. Development of Blockchain: A state of art -- 1.5. Information distribution in Blockchain -- 1.6. The growing anticipation of Blockchain -- 1.6.1. Challenges faced by Blockchain -- 1.7. The benefits of Blockchain in healthcare -- 1.8. Open issues related to Blockchain -- 1.9. Future trends of Blockchain -- 1.10. References -- Chapter 2. Role of Smart Contracts in Blockchain -- 2.1. Introduction to Blockchain -- 2.1.1. Types of Blockchain -- 2.1.2. Characteristics of Blockchain -- 2.2. Smart contracts -- 2.2.1. Operating mechanism of smart contracts -- 2.2.2. Applications of smart contracts -- 2.2.3. Programming languages and platforms -- 2.3. Quantitative analysis -- 2.3.1. Results -- 2.4. Role of smart contracts in healthcare -- 2.4.1. Health Insurance -- 2.4.2. Healthcare -- 2.4.3. Telemedicine -- 2.5. Example of smart contracts -- 2.5.1. Simple open auction -- 2.5.2. Voting -- 2.5.3. Patient record -- 2.6. Challenges related to smart contracts -- 2.6.1. Contract vulnerabilities -- 2.6.2. Privacy and legal issues -- 2.6.3. Immutability issue -- 2.7. Conclusion -- 2.8. References -- Chapter 3. Blockchain-based Platforms for the Healthcare Industry -- 3.1. Introduction -- 3.2. Literature review -- 3.3. Blockchain technology -- 3.3.1. Uses of Blockchain in the healthcare sector -- 3.4. Blockchain applications that can be useful for treating the medical sector problems -- 3.4.1. Smart contracts -- 3.4.2. Fraud detection -- 3.4.3. Identity verification -- 3.5. Examples of healthcare platforms using Blockchain -- 3.5.1. Data sharing using Gem Health Network -- 3.5.2. MeDshare.
3.5.3. OmniPHR -- 3.6. Blockchain during the Covid-19 pandemic -- 3.7. Conclusion -- 3.8. References -- Chapter 4. Analyzing and Modeling the Challenges Faced by the Healthcare Sector in the Adoption Process of Blockchain Technologies -- 4.1. Introduction -- 4.2. Literature review -- 4.2.1. Blockchain in healthcare -- 4.3. Challenges of Blockchain in healthcare -- 4.3.1. Technical challenges (TC) -- 4.3.2. Social challenges (SC) -- 4.3.3. Organizational challenges (OC) -- 4.4. Research methodology -- 4.5. Data analysis -- 4.6. Discussion -- 4.7. Conclusion -- 4.8. References -- Chapter 5. Blockchain as an Effective Technology in Maintaining Electronic Health Record Systems -- 5.1. Introduction -- 5.2. Background concepts on Blockchain technology -- 5.2.1. Consensus algorithms -- 5.2.2. Types of Blockchain -- 5.2.3. Smart contracts -- 5.2.4. Features of Blockchain -- 5.2.5. Applications of Blockchain technology -- 5.3. Blockchain in healthcare -- 5.4. Electronic health records using Blockchain -- 5.5. Quantitative analysis -- 5.5.1. Results -- 5.6. Proposed framework for the EHRs using Blockchain -- 5.6.1. System workflow -- 5.7. Issues in Blockchain-based EHRs -- 5.8. Case studies -- 5.8.1. MedRec -- 5.8.2. AI-based solution for EHRs -- 5.8.3. Improving medical record keeping with Blockchain -- 5.9. Conclusion -- 5.10. References -- Chapter 6. An Optimistic Approach to Share Private Health Records Using Blockchain Technology -- 6.1. Introduction -- 6.2. Related work -- 6.2.1. Process of storing larger healthcare data -- 6.3. Blockchain-based EHR system -- 6.3.1. Sharing of data -- 6.3.2. Interoperability -- 6.3.3. A distributed network -- 6.3.4. Shared ledger -- 6.3.5. Digital transactions -- 6.4. Blockchain in healthcare -- 6.4.1. On-chain storage -- 6.4.2. Off-chain storage -- 6.4.3. Trust issues in the context of health information exchange (HIE). 6.5. Conclusion and future scope -- 6.6. References -- Chapter 7. Patient Data Privacy Using Blockchain -- 7.1. Introduction -- 7.2. Threat modeling - digitalization in the healthcare industry -- 7.2.1. Data flow diagram (DFD) -- 7.2.2. Threat analysis -- 7.3. Privacy versus security -- 7.3.1. Privacy in Blockchain -- 7.3.2. Process flow -- 7.4. Regulatory compliance requirements -- 7.4.1. HIPAA, HITRUST, HITECH and GDPR -- 7.4.2. Blockchain as a savior -- 7.5. Differential privacy -- 7.5.1. Local differential privacy versus global differential privacy -- 7.5.2. Quantification of privacy and mathematical form of differential privacy -- 7.5.3. Advantages of using differential privacy in Blockchain -- 7.6. Privacy by Design -- 7.7. Conclusion -- 7.8. References -- Chapter 8. Decentralized Smart Healthcare Systems Using Blockchain and AI -- 8.1. Introduction to the healthcare system -- 8.1.1. Introduction to AI -- 8.1.2. Introduction to Blockchain -- 8.2. Use of AI in healthcare systems -- 8.3. Use of Blockchain in healthcare systems -- 8.4. History of medical care -- 8.4.1. Health claims -- 8.4.2. Interoperability -- 8.4.3. Exposure to healthcare -- 8.4.4. Supply chains -- 8.5. Literature review -- 8.6. Bringing intelligence to medical devices and machines -- 8.7. Using artificial intelligence to transform clinical decision-making in hospitals -- 8.7.1. Advantages of Blockchain in healthcare systems -- 8.8. Results of existing models -- 8.9. Conclusion -- 8.10. References -- Chapter 9. Component-based Healthcare Software Application Using Blockchain -- 9.1. Introduction -- 9.2. Literature review -- 9.3. Software development models -- 9.3.1. Traditional software development methodologies -- 9.3.2. Modern software development methodologies -- 9.4. Proposed model -- 9.4.1. Component-based software development life-cycle. 9.4.2. Component development life-cycle -- 9.5. Comparison among different software development life-cycle models -- 9.6. Conclusion and future works -- 9.7. References -- Chapter 10. The Role of Smart Contracts and Blockchain Technology in Healthcare and Other Use Cases -- 10.1. Introduction -- 10.1.1. Comparison between traditional contracts and smart contracts -- 10.2. Ethereum: Generation Two of Blockchain technology -- 10.2.1. History of Ethereum -- 10.3. Smart contracts -- 10.3.1. How smart contracts work -- 10.3.2. Benefits of smart contracts -- 10.3.3. Roles of smart contracts -- 10.4. Use of smart contracts in healthcare, patient monitoring, and other use cases -- 10.4.1. Transparency in supply chain -- 10.4.2. Electronic health records on the Blockchain -- 10.4.3. Use of smart contracts for insurance and billing in supply chain management -- 10.4.4. Verification of medical personnel's identity cards -- 10.4.5. IoT security for remote patient monitoring -- 10.5. Building smart contracts on the Ethereum Blockchain -- 10.5.1. Ethereum virtual machine (EVM) -- 10.5.2. Gas -- 10.5.3. Solidity -- 10.6. Real-time use cases of smart contracts -- 10.6.1. Smart contracts and insurance -- 10.6.2. Smart contracts in an electric vehicle -- 10.6.3. Smart contracts in the energy sector -- 10.6.4. Intellectual property rights -- 10.6.5. Stock trading -- 10.7. Six companies using smart contracts in real-world applications -- 10.7.1. Slock.It -- 10.7.2. Fizzy AXA -- 10.7.3. Etherparty -- 10.7.4. Propy -- 10.7.5. Populous -- 10.7.6. PolySwarm -- 10.8. Challenges -- 10.9. Historical attacks and issues with smart contracts -- 10.10. Conclusion -- 10.11. References -- Chapter 11. Healthcare Research Using Blockchain Technology: A Future Perspective -- 11.1. Introduction -- 11.2. Benefits of using Blockchain in the healthcare industry. 11.3. Application of Blockchain in the healthcare industry -- 11.4. Merging of Blockchain with artificial intelligence in healthcare -- 11.5. Drawbacks of using Blockchain in the healthcare industry -- 11.6. Conclusion and future scope -- 11.7. References -- List of Authors -- Index -- EULA. |
| Record Nr. | UNINA-9911019863503321 |
|
Choudhury Tanupriya
|
||
| Newark : , : John Wiley & Sons, Incorporated, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Cyber Intelligence and Information Retrieval : Proceedings of CIIR 2023, Volume 1
| Cyber Intelligence and Information Retrieval : Proceedings of CIIR 2023, Volume 1 |
| Autore | Dutta Soumi |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2025 |
| Descrizione fisica | 1 online resource (595 pages) |
| Disciplina | 005.8 |
| Altri autori (Persone) |
BhattacharyaAbhishek
ShahnazCelia ChakrabartiSatyajit |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN |
9789819776030
9819776031 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910983037603321 |
|
Dutta Soumi
|
||
| Singapore : , : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Cyber Intelligence and Information Retrieval : Proceedings of CIIR 2023, Volume 2 / / edited by Soumi Dutta, Abhishek Bhattacharya, Celia Shahnaz, Satyajit Chakrabarti
| Cyber Intelligence and Information Retrieval : Proceedings of CIIR 2023, Volume 2 / / edited by Soumi Dutta, Abhishek Bhattacharya, Celia Shahnaz, Satyajit Chakrabarti |
| Autore | Dutta Soumi |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (493 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
BhattacharyaAbhishek
ShahnazCelia ChakrabartiSatyajit |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Information storage and retrieval systems Quantitative research Computer networks - Security measures Computational Intelligence Information Storage and Retrieval Data Analysis and Big Data Mobile and Network Security |
| ISBN |
9789819735945
9819735947 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- About the Conference -- Contents -- Editors and Contributors -- Cyber Intelligence -- An Innovative Method for DNA Cryptography-Based Digital Signature Verification -- 1 Introduction -- 2 Related Work -- 3 Research Work -- 4 Analysis of Result -- 5 Conclusion -- References -- A Novel Framework for Facial Emotion Detection Using Deep Learning Algorithms for HCI-Enabled System -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Dataset Description -- 4.1 Dataset Standardization -- 4.2 Imbalance of Classes in the Dataset -- 4.3 Elimination of the Problem of Class Imbalance Using the Loss Function -- 5 Methodology for Model Creation -- 6 Experimental Results -- 7 Conclusion -- References -- A Performance Analysis to Detect Synthetic Images with Deep Learning-Based Image Classification -- 1 Introduction -- 2 Background -- 3 Method -- 3.1 Data Collection -- 3.2 Data Preprocessing and Augmentation |
| Record Nr. | UNINA-9910874692203321 |
|
Dutta Soumi
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data Mining and Information Security : Proceedings of ICDMIS 2024, Volume 5 / / edited by Soumi Dutta, Abhishek Bhattacharya, Vung Pham, Zdzislaw Polkowski
| Data Mining and Information Security : Proceedings of ICDMIS 2024, Volume 5 / / edited by Soumi Dutta, Abhishek Bhattacharya, Vung Pham, Zdzislaw Polkowski |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XVIII, 612 p. 325 illus., 279 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Data mining Data protection Computational Intelligence Artificial Intelligence Data Mining and Knowledge Discovery Data and Information Security |
| ISBN | 9789819660667 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Forecasting Future Stock Market Values Using Long-Term Memory Models and Sentiment Analysis -- Early Detection and Classification of Blight Diseases in Tomato and Potato Leaf Using Deep Convolution Neural Networks -- A Smartphone based Robust Model for Intelligent Prediction of Thyroid disease -- Analysis of leveraging machine learning and data analytics to predict Cardiac Disease -- Comparative Analysis of Machine Learning Algorithms for Early Sepsis Detection. |
| Record Nr. | UNINA-9911021148503321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data Mining and Information Security : Proceedings of ICDMIS 2024, Volume 4 / / edited by Soumi Dutta, Abhishek Bhattacharya, Valentina E. Balas, Mohammad Kamrul Hasan
| Data Mining and Information Security : Proceedings of ICDMIS 2024, Volume 4 / / edited by Soumi Dutta, Abhishek Bhattacharya, Valentina E. Balas, Mohammad Kamrul Hasan |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XVIII, 629 p. 302 illus., 260 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Data mining Data protection Computational Intelligence Artificial Intelligence Data Mining and Knowledge Discovery Data and Information Security |
| ISBN | 981-9660-63-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Exploring AI Classifiers to Identify Gestational Diabetes Mellitus during pregnancy -- Indian Sign Language Translator -- Desktop-based virtual assistant using python based on natural language processing -- Leveraging Machine Learning for Robust IoT Security: A Focus on Anomaly Detection Systems -- Analyzing the Effectiveness of Machine Learning Algorithms in Intrusion Detection. |
| Record Nr. | UNINA-9911021976603321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Emerging Technologies in Data Mining and Information Security [[electronic resource] ] : Proceedings of IEMIS 2018, Volume 2 / / edited by Ajith Abraham, Paramartha Dutta, Jyotsna Kumar Mandal, Abhishek Bhattacharya, Soumi Dutta
| Emerging Technologies in Data Mining and Information Security [[electronic resource] ] : Proceedings of IEMIS 2018, Volume 2 / / edited by Ajith Abraham, Paramartha Dutta, Jyotsna Kumar Mandal, Abhishek Bhattacharya, Soumi Dutta |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (864 pages) : illustrations |
| Disciplina | 006.312 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Engineering
Artificial intelligence Computer security Computational Intelligence Artificial Intelligence Systems and Data Security |
| ISBN | 981-13-1498-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | The Study of Sentimental State of Human from Tweet Text -- Data Analytic Techniques with Hardware Based Encryption for High Profile Dataset -- Exploring Student Migration in Rural Region of Bangladesh -- Analysis on Lightning News And Correlation With Lightning Imaging Sensor (LIS) Data -- Design of Business Canvas Model for Social Media -- EEG Signal Analysis Using Different Clustering Techniques -- Viable Crop Prediction Scenario in Big Data Using a Novel Approach -- A Graph Based Approach on Extractive Summarization -- Promises and Challenges of Big Data in a Data Driven World -- A Proposed Approach for Improving Hadoop Performance For Handling Small Files -- Identification of the Recurrence of Breast Cancer by Discriminant Analysis -- Spam Detection in SMS based on Feature Selection Techniques -- Analysis and Design of an Efficient Temporal Data Mining Model for the Indian Stock Market -- Community Detection Methods in Social Network Analysis -- A Comparative Study on Cluster Analysis of Micro-Blogging Data. |
| Record Nr. | UNINA-9910484325803321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Emerging Technologies in Data Mining and Information Security [[electronic resource] ] : Proceedings of IEMIS 2018, Volume 1 / / edited by Ajith Abraham, Paramartha Dutta, Jyotsna Kumar Mandal, Abhishek Bhattacharya, Soumi Dutta
| Emerging Technologies in Data Mining and Information Security [[electronic resource] ] : Proceedings of IEMIS 2018, Volume 1 / / edited by Ajith Abraham, Paramartha Dutta, Jyotsna Kumar Mandal, Abhishek Bhattacharya, Soumi Dutta |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (848 pages) : illustrations |
| Disciplina | 006.312 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Engineering
Artificial intelligence Computer security Computational Intelligence Artificial Intelligence Systems and Data Security |
| ISBN | 981-13-1951-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Application of ANN for On-line Monitoring and Security Estimation of Power System -- Chapter 2: Crop Prediction Models – A Review -- Chapter 3: Rainfall Prediction : A Comparative study of Neural Network architectures -- Chapter 4: Prediction of Bacteriophage Protein Locations Using Deep Neural Networks -- Chapter 5: Classification of Phishing Websites using Moth-flame Optimized Neural Network -- Chapter 6: Design and Analysis of Intrusion Detection System via Neural Network, SVM and Neuro fuzzy -- Chapter 7: Grammar-based White-box Testing via Automated Constraint Path Generation. |
| Record Nr. | UNINA-9910482961203321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Emerging Technologies in Data Mining and Information Security [[electronic resource] ] : Proceedings of IEMIS 2018, Volume 3 / / edited by Ajith Abraham, Paramartha Dutta, Jyotsna Kumar Mandal, Abhishek Bhattacharya, Soumi Dutta
| Emerging Technologies in Data Mining and Information Security [[electronic resource] ] : Proceedings of IEMIS 2018, Volume 3 / / edited by Ajith Abraham, Paramartha Dutta, Jyotsna Kumar Mandal, Abhishek Bhattacharya, Soumi Dutta |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (872 pages) : illustrations |
| Disciplina | 006.312 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Engineering
Artificial intelligence Computer security Computational Intelligence Artificial Intelligence Systems and Data Security |
| ISBN | 981-13-1501-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Proposed Memory Allocation Algorithm for NUMA based Soft Real Time Operating System -- Mathematical Model of Fog Computing Architecture for IoT Micro-Services -- Analysis of Attention Level of Human Body in Different Form -- Analytical Survey on Standards of Internet of Things Framework & Platforms -- A Predictive Resource Management Technique in Grid -- Cryptanalysis of a Chaotic Key based Image Encryption Scheme -- Blind RGB Image Steganography using Discrete Cosine Transformation -- Wavelet and Pyramid Histogram Features for Image based Leaf Detection -- Automated Detection of Glaucoma using Image Processing Techniques -- Chemical Reaction Optimization Algorithm for Word Detection using Pictorial Structure -- Secure Remote Patient Monitoring with Location Based Services -- Development of Joint Intelligent Millimeter Wave Sensing and Communication -- Machine Learning for Mining Imbalanced Data -- Key Feature Extraction and Machine Learning Based Automatic Text Summarization -- Prediction of Gold Price Movement Using Geopolitical Risk as a Factor. |
| Record Nr. | UNINA-9910484844903321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Generative AI in FinTech: Revolutionizing Finance Through Intelligent Algorithms / / edited by Soumi Dutta, Álvaro Rocha, Ambuj Kumar Agarwal, Raj Gaurang Tiwari, Abhishek Bhattacharya
| Generative AI in FinTech: Revolutionizing Finance Through Intelligent Algorithms / / edited by Soumi Dutta, Álvaro Rocha, Ambuj Kumar Agarwal, Raj Gaurang Tiwari, Abhishek Bhattacharya |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (VI, 359 p. 48 illus., 44 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Information Systems Engineering and Management |
| Soggetto topico |
Computational intelligence
Artificial intelligence Finance Computational Intelligence Artificial Intelligence Financial Economics |
| ISBN | 3-031-76957-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE AND CHATBOT FOR THE ENHANCEMENT OF NEW AGE BANKING SYSTEMS: A SYSTEMATIC REVIEW -- A Generative AI based Work Assignment System -- NexaMedic: Revolutionizing Medication Access and Healthcare Management through Intelligent Assistance -- Responsible AI in Fintech: Addressing Challenges and Strategic Solutions -- The Transformative Impact of AI Technologies on Decision-Making Processes and Operational Efficiency Across Sectors, with a Focus on Finance -- Information Utilized in the Multimodal Method for Assessing Financial Risk and Fraud Detection in the Context of Digital Currency -- Generative AI in FinTech: Revolutionizing Fraud Detection, Personalized Advising, and Predictive Analytics -- ADVANCING FINANCIAL FORECASTING WITH HIERARCHICAL GAUSSIAN MIXTURES: THE ADAPTIVE GENERATIVE META-MODEL FOR FINANCIAL ENVIRONMENTS (AGM-FE) -- Next-Generation Credit Scoring: Enhancing Model Performance through Synthetic Data Generation with Generative Adversarial Networks -- The Mediating Influence of Journalistic Narratives on the Adoption of Generative AI in Financial Services -- Balancing Innovation and Responsibility: Tackling Challenges in Generative AI for FinTech -- Adapting Generative Models with Meta Learning for Financial Applications -- Precedence of Generative AI in Fintech: A Road to Redefine the Sector’s Future -- Securing the Future: Addressing Risks and Vulnerabilities in Generative AI for Fintech -- The Role of Artificial Intelligence in a New Paradigm: Redefining the Banking Landscape -- Empowering Financial Access: A Generative AI Perspective -- Challenges for Responsible Implementation of Generative AI in Fintech -- Guardians of Accountability: The Role of Media in Oversight and Governance of Generative AI Applications in Fintech. |
| Record Nr. | UNINA-9910988286403321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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