Vol. 5 (2019): Distributed Learning and Broad Applications in Scientific Research

In this issue of Distributed Learning and Broad Applications in Scientific Research, we present a collection of innovative studies showcasing the latest advancements in distributed learning technologies and their applications across various scientific fields. Featured themes include cutting-edge machine learning algorithms, deep learning frameworks, and artificial intelligence techniques applied to areas such as computational biology, environmental modeling, and materials science.

This volume also offers insightful reviews on current trends and future directions in distributed learning, along with case studies demonstrating real-world impacts. Contributions from global experts and emerging scholars highlight the journal's commitment to fostering interdisciplinary collaboration and driving innovation in scientific research.

Explore these groundbreaking developments and stay at the forefront of distributed learning's potential to revolutionize science.

Published: 01-01-2019

Articles

Unveiling the Achilles' Heel of Decentralized Identity: A Comprehensive Exploration of Scalability and Performance Bottlenecks in Blockchain-Based Identity Management Systems

Mahammad Shaik, Ashok Kumar Reddy Sadhu, Srinivasan Venkataramanan (Author)

1-22
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Leveraging Artificial Intelligence for Enhanced Threat Detection, Response, and Anomaly Identification in Resource-Constrained IoT Networks

Leeladhar Gudala, Mahammad Shaik, Srinivasan Venkataramanan, Ashok Kumar Reddy Sadhu (Author)

23-54
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Requirements Traceability in Software Engineering: Analyzing techniques and tools for requirements traceability in software engineering to establish and maintain the relationship between requirements artifacts

Dr. Fatima Ibrahim (Author)

55-66
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Reinforcement Learning in Healthcare: Optimizing Treatment Strategies and Patient Management

Kummaragunta Joel Prabhod, Asha Gadhiraju (Author)

67-104
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Reinforcement Learning for Optimizing Surgical Procedures and Patient Recovery

Asha Gadhiraju, Kummaragunta Joel Prabhod (Author)

105-140
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Cross-Chain Asset Transfer: Implementing Atomic Swaps for Blockchain Interoperability

Pranadeep Katari, Venkat Rama Raju Alluri, Chetan Sasidhar Ravi, Ashok Kumar Pamidi Vankata, Leeladhar Gudala (Author)

102-123
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Decentralized Finance (DeFi): A Comprehensive Study of Protocols and Applications

Subrahmanyasarma Chitta, Sai Manoj Yellepeddi, Shashi Thota, Ashok Kumar Pamidi Vankata (Author)

124-145
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Federated Learning for Collaborative Threat Intelligence Sharing: A Practical Approach

Sai Manoj Yellepeddi, Pranadeep Katari, Venkat Rama Raju Alluri, Venkata Sri Manoj Bonam, Ashok Kumar Pamidi Vankata (Author)

146-167
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Federated Learning: Privacy-Preserving Collaborative Machine Learning

Shashi Thota, Vinay Kumar Reddy Vangoor, Amit Kumar Reddy, Chetan Sasidhar Ravi (Author)

168-190
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Sustainable Project Management: Integrating Environmental Considerations into IT Projects

Tanzeem Ahmad, Pranadeep Katari, Sai Manoj Yellepeddi, Ashok Kumar Pamidi Vankata (Author)

191-217
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AI for Supply Chain Visibility in E-Commerce: Techniques for Real-Time Tracking, Inventory Management, and Demand Forecasting

Swaroop Reddy Gayam (Author)

218-251
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AI-Driven Decision Support Systems for Insurance Policy Management

Sudharshan Putha (Author)

326-359
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AI-Powered Predictive Analytics for Credit Risk Assessment in Finance: Advanced Techniques, Models, and Real-World Applications

Venkata Siva Prakash Nimmagadda (Author)

251-286
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Machine Learning Algorithms for Automated Underwriting in Insurance: Techniques, Tools, and Real-World Applications

Mohit Kumar Sahu (Author)

286-326
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Advanced AI Algorithms for Predictive Analytics: Techniques and Applications in Real-Time Data Processing and Decision Making

Sandeep Pushyamitra Pattyam (Author)

359-384
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Advanced AI Models for Portfolio Management and Optimization in Finance: Techniques, Applications, and Real-World Case Studies

Krishna Kanth Kondapaka (Author)

560-597
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Advanced AI Models for Retail Supply Chain Network Design and Optimization: Techniques, Applications, and Real-World Case Studies

Krishna Kanth Kondapaka (Author)

598-636
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Advanced AI Techniques for Fraud Detection in Travel Insurance: Models, Applications, and Real-World Case Studies

Bhavani Prasad Kasaraneni (Author)

455-513
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Advanced AI Techniques for Optimizing Claims Management in Insurance: Models, Applications, and Real-World Case Studies

Krishna Kanth Kondapaka (Author)

637-668
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Advanced AI Techniques for Predictive Maintenance in Health Insurance: Models, Applications, and Real-World Case Studies

Bhavani Prasad Kasaraneni (Author)

513-546
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Advanced Artificial Intelligence Techniques for Predictive Analytics in Life Insurance: Enhancing Risk Assessment and Pricing Accuracy

Bhavani Prasad Kasaraneni (Author)

547-588
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AI in Data Science for Financial Services: Techniques for Fraud Detection, Risk Management, and Investment Strategies

Sandeep Pushyamitra Pattyam (Author)

385-416
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AI in Data Science for Healthcare: Advanced Techniques for Disease Prediction, Treatment Optimization, and Patient Management

Sandeep Pushyamitra Pattyam (Author)

417-455
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AI-Enhanced Claims Processing in Insurance: Automation and Efficiency

Ramana Kumar Kasaraneni (Author)

669-705
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AI-Enhanced Clinical Trial Design: Streamlining Patient Recruitment, Monitoring, and Outcome Prediction

Ramana Kumar Kasaraneni (Author)

706-746
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AI-Enhanced Cybersecurity in Smart Manufacturing: Protecting Industrial Control Systems from Cyber Threats

Ramana Kumar Kasaraneni (Author)

747-784
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AI-Powered Customer Service Solutions in Insurance: Techniques, Tools, and Best Practices

Siva Sarana Kuna (Author)

588-629
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AI-Powered Solutions for Automated Customer Support in Life Insurance: Techniques, Tools, and Real-World Applications

Siva Sarana Kuna (Author)

529-560
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Sensor-Based Personal Data Collection in the Digital Age: Exploring Privacy Implications, AI-Driven Analytics, and Security Challenges in IoT and Wearable Devices

Jaswinder Singh (Author)

785-809
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Automating CI/CD Pipelines with Machine Learning Algorithms: Optimizing Build and Deployment Processes in DevOps Ecosystems

Venkata Mohit Tamanampudi (Author)

810-849
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How RAG Models are Revolutionizing Question-Answering Systems: Advancing Healthcare, Legal, and Customer Support Domains

Jaswinder Singh (Author)

850-866
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Kanban and Agile for AI-Powered Product Management in Cloud-Native Platforms: Improving Workflow Efficiency Through Machine Learning-Driven Decision Support Systems

Seema Kumari (Author)

867-885
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Balancing data sharing and patient privacy in interoperable health systems

Subrahmanyasarma Chitta, Justin Crawly, Sai Ganesh Reddy, Dheeraj Kumar (Author)

886-925
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Implementing GDPR-compliant data governance in healthcare

Dheeraj Pal, Ajay Aakula, Vipin Saini (Author)

926-961
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Optimizing Drug Discovery with Generative AI: Techniques for Molecular Design, Compound Synthesis, and Predictive Analytics

VinayKumar Dunka (Author)

961-992
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Architecting Data Pipelines: Best Practices for Designing Resilient, Scalable, and Efficient Data Pipelines

Muneer Ahmed Salamkar, Karthik Allam (Author)
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ETL vs ELT: A comprehensive exploration of both methodologies, including real-world applications and trade-offs

Muneer Ahmed Salamkar (Author)
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Next-Generation Data Warehousing: Innovations in cloud-native data warehouses and the rise of serverless architectures

Muneer Ahmed Salamkar (Author)
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Real-time Data Processing: A Deep Dive into Frameworks like Apache Kafka and Apache Pulsar

Muneer Ahmed Salamkar (Author)
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Data Lakes vs. Data Warehouses: Comparative Analysis on When to Use Each, with Case Studies Illustrating Successful Implementations

Muneer Ahmed Salamkar, Karthik Allam (Author)
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Kubernetes Operators: Automating Database Management in Big Data Systems

Naresh Dulam, Jayaram Immaneni, Kishore Reddy Gade (Author)
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Snowflake Innovations: Expanding Beyond Data Warehousing

Naresh Dulam, Karthik Allam (Author)
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AI in Healthcare: Big Data and Machine Learning Applications

Naresh Dulam, Venkataramana Gosukonda (Author)
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Real-Time Machine Learning: How Streaming Platforms Power AI Models

Naresh Dulam (Author)
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A Distributed Training Approach to Scale Deep Learning to Massive Datasets

Sarbaree Mishra (Author)
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Training models for the enterprise - A privacy preserving approach

Sarbaree Mishra, Vineela Komandla, Srikanth Bandi, Jeevan Manda (Author)
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Distributed data warehouses - An alternative approach to highly performant data warehouses

Sarbaree Mishra (Author)
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Improving the ETL process through declarative transformation languages

Sarbaree Mishra, Sairamesh Konidala, Jeevan Manda (Author)
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A novel weight normalization technique to improve Generative Adversarial Network training

Sarbaree Mishra (Author)
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Data Modeling Best Practices: Techniques for Designing Adaptable Schemas that Enhance Performance and Usability

Muneer Ahmed Salamkar (Author)
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Vol. 5 (2019): Distributed Learning and Broad Applications in Scientific Research

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