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  • TMS 2024-04-20

    Machine Learning Models for Predicting Ransomware Attacks on Critical Public Health Infrastructure: A Cross-National Study

    Praveen Kumar Pemmasani, Chinedu Okara

    Machine learning (ML) models have emerged as powerful tools in cybersecurity, offering proactive threat detection and risk mitigation capabilities. This study examines the effectiveness of ML models in predicting ransomware attacks on critical public health...

    75-85
  • TMS 2024-12-31

    Integration of Machine Learning and Self-Healing Mechanisms in Adaptive AI Architectures

    Raj Kumar Pentyala

    The integration of machine learning with self-healing capabilities represents a significant advancement in the development of adaptive AI systems. These systems are designed to independently identify, analyze, and rectify operational anomalies, ensuring...

    131-141
  • TMS 2023-12-25

    AI-Driving Anomaly Detention in Distributed Data Engineering Frameworks

    Dillep Kumar Pentyala

    Due to the overwhelming number of solutions for Big Data processing during the last few years, distributed data engineering frameworks have become one of the most effective tools for real-time analyses and decision-making in numerous domains. However, these...

    215-238
  • TMS 2024-04-18

    Improving Distributed Cloud Data Engineering with AI-Powered Failure Prediction Systems

    Dillep Kumar Pentyala

    he exponential adoption of distributed cloud systems has imposed heretofore unseen demands as to data dependability, redundancy, and process performance. The conventional failure detection techniques can only provide a partial solution to the dynamic nature...

    48-74
  • TMS 2023-12-31

    Perspectives on Artificial Intelligence in Clinical Healthcare Applications

    Vinay Chowdary Manduva

    The concept of artificial intelligence (AI) has a lengthy history. It has become evident that achieving human-level intelligence is more complex than initially expected. Presently, there is a resurgence of interest in AI, driven by a substantial...

    93-107
  • TMS 2025-12-13

    Leveraging Artificial Intelligence and Big Data Analytics for Improved Management and Research of Multimorbidity

    George Hernandez

    Multimorbidity denotes the simultaneous presence of two or more chronic illnesses inside an individual. Consequently, individuals with multimorbidity possess diverse and specific treatment requirements. In reality, fulfilling these objectives is challenging...

    17-25
  • TMS 2024-12-25

    "Revolutionizing Diagnostic Imaging: The Role of Artificial Intelligence in Modern Radiology"

    Divya Sai Jaladi, Sandeep Vutla

    he interest in artificial intelligence (AI) has expanded inside radiology in the previous few years principally because of eminent triumphs of profound learning. With the advances brought by profound knowledge, AI can perceive and limit complex examples...

    284-305
  • TMS 2024-10-26

    The Role of Artificial Intelligence in Modern Medicine

    Divya Sai Jaladi, Sandeep Vutla

    Artificial Intelligence (AI) has emerged as a transformative force across scientific domains, with particularly profound implications in the field of medicine. Originally conceptualized in the mid-20th century as a means to replicate human intelligence, AI...

    96-106
  • TMS 2023-12-31

    Utilisation of Artificial Intelligence in Healthcare Opportunities and Obstacles

    Sai Krishna Chaitanya Tulli

    The utilization of Artificial Intelligence (AI) has proliferated across several industries within healthcare. Healthcare organizations of all sizes, kinds, and specialties are increasingly interested in the evolution of artificial intelligence and its role...

    81-92
  • TMS 2025-09-30

    Predictive AI Proactive Customer Engagement Platform with Real-Time Friction Mitigation Utilising AI-Driven Churn Prediction

    Marc'Aurelio Ranzato

    Customer engagement platforms have evolved significantly, with artificial intelligence (AI) facilitating a transition from a reactive, service-oriented model to a proactive, predictive, and personalised approach to customer engagement. Customer attrition...

    8-20
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The Metascience

Introduction The Metascience (An International Multidisciplinary Research Journal) is a double-blind, peer-reviewed, open-access...

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