An AI-Driven Adaptive Fault-Tolerant Data Ingestion Framework for Hybrid On-Premise and Cloud Big Data Platforms Using Ensemble Learning

Future-Ready Learning Technologies: WPM Methodology for Evaluating VR/AR, AI, and Blockchain Integration in Education

Ideology-Aware Digital Twins for Privacy-Compliant and Secure Software Engineering Ecosystems

CODAQ: Context-Oriented Distributed Adaptive Query Processing for Large-Scale Graph and Data Systems

Predictive Analytics: Extracting Value from Big Data

Study of Stars Supplemental Provider Rating and its Impact on Healthcare Quality

Does the leader influence employee performance? Evidence from Researcher Opinion

Leveraging Data Analytics to Explore the Impact of CMS Medicare Measures on Health Screens and Stars Supplemental Provider Rating in Enhancing Preventive Care Approaches

A Data Science Model for a study of Stars Supplemental Provider Rating in the Healthcare Domain

The Future of Cloud Services: How to Stay Ahead with Smart Selection

Cloud-Driven Data Engineering: Multi-Layered Architecture for Semantic Interoperability in Healthcare

Enhancing Internet of Vehicles (IoV) System Selection through the Complex Proportionality Assessment (COPRAS) Method: A Case Study

Implementing and Evaluating SAP Solutions at the Union Pacific Railroad: MultiCriteria Decision Analysis Using the COPRAS Method

Improving Business Intelligence Reporting for Manufacturing Company: A VIKOR-Based Comparative Evaluation of BI Tools

Redefining Business Intelligence Architecture with the EDAS Optimization Model

AI-Powered Forecasting and Insights in Big Data Environments

Frameworks and Tools for Enhancing Cloud Network Security: A Review

Reducing Risks: How AI-Powered Systems Revolutionize Elderly Fall Detection

Transforming Medicine: The Rise of Diagnostic Aid Applications Using the WSM Method

Optimizing Business Intelligence Solutions: A TOPSIS-based Assessment of Micro Strategy Implementation Alternatives

Financial Decision-Making for DICK’s Sporting Goods: A VIKOR-Based Analysis

Strategic Insights into Healthcare Waste Management through the DEMATEL Approach

Performance Optimization in Large-Scale Database Migration A MultiAlgorithm Assessment

Ada Boost Regression Modelling for Real-Time Audio Signal Processing and Quality Assessment in Secondary Audio Program (SAP) Systems

Algorithmic Framework for Retail Media Optimization and Consumer Engagement Enhancemen

Barriers to Supply Chain Management Adoption in Construction an Evaluation Using the ARAS Method

From Traditional to AI-Driven Risk Assessment: An SPSS-Based Statistical Investigation of Machine Learning Applications in Property and Casualty Insurance

Enhancing User Human computer interaction (HCI) An EDAS Method based Study

Predictive Modeling of Process Parameters in WCO-Based Biodiesel Production Using Advanced Regression Techniques 

Optimizing Image Processing in OmniView with EDAS Decision-Making

AI-Powered Product Metadata Enrichment through a Hybrid Approach Combining Semantic Web and Machine Learning

Data warehousing and business intelligence technologies in retail: a comparative analysis of predictive models for performance optimization

Big Data-Driven Machine Learning: An In-Depth Look at Advantages and Challenges

Cloud Security Reinvented: A Predictive Algorithm for User BehaviorBased Threat Scoring

Performance Optimization for Micro-Frontend-Based Applications: A Predictive Analysis Using XG Boost Regression

Empirical Evaluation of Cloud Migration Performance Using Gradient Boosting Models

Architecting MCP-Based Platforms for Enterprise-Scale Agentic Generative AI

Architecting MCP-Based Platforms for Enterprise-Scale Agentic Generative AI

Evaluation of Financial Performance Indicators Using Ensemble Machine Learning Techniques: A Case Study of a Diversified Industrial Enterprise