Vol. 1 (2021): American Journal of Data Science and Artificial Intelligence Innovations
The American Journal of Data Science and Artificial Intelligence Innovations (AJDSAI) is a leading peer-reviewed, open-access journal dedicated to pioneering research and advancements in the fields of data science, artificial intelligence (AI), and their transformative applications. Published quarterly, AJDSAI serves as a global platform for researchers, data scientists, AI practitioners, and industry leaders to share groundbreaking discoveries, methodologies, and innovations that drive the future of intelligent technologies.
Published:
01-01-2021
Articles
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Dynamic Cloud Workloads Security Policy with Reinforcement Learning
Abstract Views 65PDF Downloads 0 -
Sentiment Analysis of Customer Reviews to Enhance Insurance Product Development
Abstract Views 105PDF Downloads 2 -
Legal Standards Extraction Using LLMs with CRF-based Sequence Labeling
Abstract Views 228PDF Downloads 0 -
Decentralized Identity (DID) and Zero-Knowledge Proofs for Secure Digital Banking Ecosystems
Abstract Views 128PDF Downloads 1 -
Edge Computing Reinforcement Learning: Optimizing AI Model Deployments
Abstract Views 59PDF Downloads 0 -
Containerized Superior Performance: Advanced Optimization Strategies in Openshift Environment
Abstract Views 58PDF Downloads 1 -
Automating Enterprise Security: Integrating DevSecOps into CI/CD Pipelines
Abstract Views 111PDF Downloads 5 -
Building an AI-Powered Data Governance Framework for Large Enterprises
Abstract Views 135PDF Downloads 9 -
Cost-Efficient Cloud Data Processing: Strategies for Enterprise-Wide Cost Optimization
Abstract Views 119PDF Downloads 3 -
Leveraging AI for Automated Customs Document Processing: A Case Study on AI-Powered Document Intelligence
Abstract Views 116PDF Downloads 3 -
A Machine Learning-Based Framework for Risk-Based Validation of Computer Systems Under 21 CFR Part 11 Compliance
Abstract Views 60PDF Downloads 1 -
Enhancing Wealth Management Through Agile-Low Code Integrated Platforms: A Case Study on User Experience and Efficiency Gains
Abstract Views 164PDF Downloads 0 -
Reinforcement Learning-Driven Adaptive Test Case Generation in Agile Development
Abstract Views 108PDF Downloads 1 -
Adaptive AI Algorithms for Scaling Serverless Architectures in Multi-Cloud Deployments
Abstract Views 139PDF Downloads 2 -
A Novel AI-Powered Architecture for Enhancing Confidential Computing in Hybrid Cloud Environments
Abstract Views 138PDF Downloads 2 -
A Reinforcement Learning Approach to Dynamic Security Policy Management in IoT Systems
Abstract Views 79PDF Downloads 2 -
Big Data Security Challenges in Government-Sponsored Health Programs: A Case Study of CHIP
Abstract Views 89PDF Downloads 2 -
DeepFed: Federated Learning with Differential Privacy for Secure Healthcare Data Analysis
Abstract Views 160PDF Downloads 3 -
Multi-Hop Reasoning Enhancement in Retrieval-Augmented Generation using Hierarchical Graph Neural Networks
Abstract Views 127PDF Downloads 1 -
Engineering Oracle HCM: Building Scalable Integrations for Global HR Systems
Abstract Views 70PDF Downloads 1 -
Redefining HR Automation: Oracle HCM’s Impact on Workforce Efficiency and Productivity
Abstract Views 77PDF Downloads 1 -
Log4Shell Threat Response: Detection, Exploitation, and Mitigation
Abstract Views 92PDF Downloads 3 -
Flink-Powered Feature Engineering: Optimizing Data Pipelines for Real-Time AI
Abstract Views 88PDF Downloads 3 -
Real-Time Model Feedback Loops: Closing the MLOps Gap with Flink-Based Pipelines
Abstract Views 58PDF Downloads 1 -
The Importance of Mobile Apps in Scan and Go Point of Sale (POS) Solutions
Abstract Views 158PDF Downloads 4 -
AI-Powered Eligibility Reconciliation for Dual Eligible Members Using AWS Glue
Abstract Views 50PDF Downloads 1 -
AI-Enhanced Predictive Analytics for DevOps Pipeline Optimization: A Real-Time CI/CD workflow Improvement Case Study
Abstract Views 54PDF Downloads 0 -
Deep Learning Models for Accelerating Drug Discovery and Molecular Target Identification
Abstract Views 160PDF Downloads 1 -
Graph Neural Networks for Fraud Detection in Large-Scale Banking Networks
Abstract Views 151PDF Downloads 4 -
Personalizing In-Store Experiences Using Machine Learning and IoT Integration
Abstract Views 87PDF Downloads 0