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  • TMS 2025-07-01

    WAFFLES – Machine Learning Toolkit: Bridging Simplicity and Advanced Analytics

    Vinay Chowdary Manduva, Y. P.

    WAFFLES, a comprehensive and versatile collection of cross-platform command-line tools designed to support researchers, developers, and practitioners working in the field of machine learning and data mining. The WAFFLES toolkit provides a broad and...

    1-7
  • TMS 2023-10-21

    Bridging the Gap: Metadata, Multimodal Data, and Hybrid Machine Learning Approaches in Citizen Science

    Dhaval Tirupathi

    The majority of machine learning applications in citizen science have focused on image classification, with algorithms trained to identify species or classify objects from photographs. However, many citizen science projects collect diverse types of data,...

    325-331
  • 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 2024-05-13

    Machine Learning in Medical Care Information Examination

    Revathi Bommu

    Lately, medical care information examination is becoming one of the most encouraging exploration regions. Medical care remembers information for different sorts like Clinical information, Omics information and Sensor information. Clinical information...

    1-9
  • 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 2026-01-07

    Engaging the Crowd with Algorithms: How Machine Learning Can Boost Volunteer Participation in Citizen Science

    Susanto Quang

    Volunteer engagement and retention represent persistent challenges in citizen science, with many projects struggling to recruit and sustain active participants despite growing public interest in scientific participation. While citizen science has...

    12-22
  • 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 2024-05-13

    Machine Learning Applications in Cardiology: A Viable Practical Solution for Developing Countries

    Revathi Bommu

    AI consciousness (computer based intelligence) and ML is a promising field of cardiovascular medication. Numerous AI devices have been demonstrated to be effective with an elevated degree of precision. However, their utilization, in actuality, isn't deeply...

    10-20
  • TMS 2025-12-13

    Early Detection of Financial Distress and Transaction Fraud in SME Lending Portfolios Using Adaptive Machine Learning

    Md Soebur Rahman, Maria Marcucci, Charles Møller

    Small and Medium Enterprises (SMEs) form the backbone of most emerging economies, yet lending institutions continue to struggle with two interlinked risks when serving this segment: the gradual build-up of financial distress in a borrower's cash-flow...

    35-52
  • 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 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 2025-01-10

    Artificial Intelligence in Contemporary Medicine - The Increasing Imperative of Today and Its Role in Revolutionizing Future Healthcare

    Dillep Kumar Pentyala

    Artificial intelligence is the capability of computer systems to emulate and replicate human intelligence. Artificial intelligence has transformed the accuracy and efficacy of diagnostics and therapeutics across multiple medical disciplines. Artificial...

  • 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
  • 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 2025-12-13

    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 2024-01-31

    Scalable Graph-Based Algorithms for Real-Time Analysis of Big Data in Social Networks

    Sai Dikshit Pasham

    The explosive growth of social networks has led to the generation of vast, complex datasets, necessitating advanced methods for real-time analysis. Graph-based algorithms provide a natural framework for representing and analyzing social networks, with nodes...

    92-129
  • TMS 2025-12-13

    AI-Enabled Policy-Driven Web Governance

    Yuktab

    The rapid expansion of web-based platforms, digital services, and data-driven applications has significantly increased the complexity of governing online ecosystems. AI-Enabled Policy-Driven Web Governance represents an advanced governance paradigm that...

    6-16
  • TMS 2023-12-15

    Network Topology Optimization in Cloud Systems Using Advanced Graph Coloring Algorithms

    Sai Dikshit Pasham

    Cloud systems play a pivotal role in modern computing, demanding highly efficient and adaptable network topologies to meet the growing needs of scalability, resource utilization, and low latency. This paper explores the application of advanced graph...

    122-148
  • TMS 2023-12-31

    An Overview of Medical Artificial Intelligence

    Narendra Devarasetty

    Artificial intelligence (AI) refers to the utilization of computers and technology to emulate intelligent behavior and critical thinking akin to that of a person. In 1956, John McCarthy initially defined the term artificial intelligence as the science and...

    56-66
  • TMS 2026-06-01

    The Integration of Artificial Intelligence (AI) In Contemporary Software Ecosystems

    Jhon Kim

    The integration of Artificial Intelligence (AI) in contemporary software ecosystems transcends mere model correctness, necessitating the establishment and orchestration of robust, scalable backend infrastructures for seamless integration and deployment....

    1-8
  • TMS 2023-12-31

    Opportunities and Difficulties of Artificial Intelligence in Medicine Existing Applications, Emerging Issues, and Solutions

    Sai Dikshit Pasham

    Recent breakthroughs in artificial intelligence have achieved success in several therapeutic activities due to the development and application of big data, supercomputing, sensor networks, brain science, and other technologies. Nonetheless, no initiatives...

    67-80
  • TMS 2025-12-13

    Data-Driven Early-Warning Indicators of Small-Business Financial Distress: Integrating Operational, Transactional, and Credit Data for Decision Support in SMEs

    Saeed Ur Rashid, Sivananda Reddy Sattiraju

    Small and medium-sized enterprises remain disproportionately vulnerable to financial distress, yet the periodic financial statements conventionally used to assess their credit health update far too infrequently for meaningful early warning. This article...

    53-65
  • TMS 2023-12-25

    Cloud Storage Security in Government Agencies: Protecting National Data from Cyber Threats

    Praveen Kumar Pemmasani, Aleksandra, David Rock

    Cloud storage security in government agencies is critical to safeguarding national data from cyber threats, as the increasing reliance on cloud computing introduces new vulnerabilities that adversaries seek to exploit. Government agencies store vast amounts...

    239-248
  • TMS 2026-01-05

    AI-Augmented Financial Services and Virtual Engagement Supervision for Contemporary Digital Support

    Linda Allen

    The growing digitalisation of financial services and distant contacts has rendered artificial intelligence (AI) essential for providing assistance. This research investigates the capacity of AI-driven technologies—specifically machine learning algorithms...

    1-11
  • TMS 2024-10-26

    AI-Driven Data Governance for Large Language Models: Ensuring Quality, Privacy, and Compliance Across Domains

    Vinay Chowdary Manduva, Y. P.

    The rapid advancement of large language models (LLMs) such as GPT and BERT has revolutionized multiple industries, including healthcare, finance, supply chain management, and cybersecurity. While these models demonstrate remarkable capabilities in natural...

    107-113
1 - 25 of 25 items

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