Computer science and information technology
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Securing Microservices in the Cloud: Addressing Emerging Threats and Vulnerabilities
Cloud computing and microservices architectures have revolutionized software development, yet their distributed nature introduces novel security challenges that demand innovative defenses. This paper investigates the critical aspects of securing microservices in cloud environments by addressing emerging…
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Machine Learning Driven Personalization in the Travel Industry: Enhancing Traveller Experiences and Engagement
The integration of machine learning (ML) in the travel industry has revolutionized the way businesses personalize travel experiences, promoting higher levels of satisfaction and participation. This evaluation examines the evolution of ML-based personalization between 2015 and…
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AI-Driven Workflow for Early Breast Cancer Detection Using ResNet50 and Histopathological Images
Early detection of breast cancer is critical for improving patient survival rates, and recent advances in artificial intelligence have paved the way for more accurate diagnostic tools. This study introduces an innovative AI-driven workflow that employs…
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Stream Processing with Apache Kafka: Real-Time Data Pipelines
Apache Kafka has emerged as a pivotal technology in the realm of real-time data processing, enabling the construction of robust and scalable stream processing systems. This paper explores the utilization of Apache Kafka as a backbone…
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FIN-EVENTS+: Designing Scalable Event-Driven Microservice Architectures for Real-Time Payment Processing and Transaction Management in Modern Financial Systems
FIN-EVENTS+ is an innovative architectural framework that leverages event-driven microservices to revolutionize real-time payment processing and transaction management within modern financial systems. This study presents a scalable, distributed design that addresses the increasing demand for rapid,…
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HCM AI Agents and Data-Driven Decision Making
In the modern enterprise landscape, Human Capital Management (HCM) is undergoing a paradigm shift, leveraging artificial intelligence (AI) agents and data-driven decision-making. AI-powered HCM solutions optimize talent acquisition, workforce planning, and employee engagement by harnessing machine…
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The Impact of Data Privacy Laws, such as GDPR, on the Design and Operation of WMS
The increasing reliance on data-intensive technologies in Warehouse Management Systems (WMS) has created serious data privacy issues, especially with the advent of strict regulations like the General Data Protection Regulation (GDPR). WMS, which are central to…
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User Behavior Analysis in AI-Powered Financial Advisory Platforms
The integration of Artificial Intelligence (AI) in financial advisory platforms has profoundly altered the financial services sector, providing users with personalized advice and predictive analytics. Yet, amidst the technological advancements, the research gap in understanding user…
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Building Custom Connector Frameworks for Seamless Data Integration
In today’s data-driven world, seamless integration of disparate data sources has become essential for businesses aiming to enhance operational efficiency and decision-making. Building custom connector frameworks provides a robust solution to this challenge by enabling smooth…
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Real-Time AI Risk Intelligence Dashboards: Transforming Health Insurance Fraud Detection & Policy Adjustments
Real-Time AI Risk Intelligence Dashboards are revolutionizing the way health insurers detect fraud and adjust policies. By harnessing advanced machine learning algorithms and real-time data analytics, these dashboards integrate vast and diverse datasets to identify irregularities…