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International Journal of Acta Informatica
International Journal of Acta Informatica
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  • IJAI 2025-12-19

    Deployment of an Adaptive Machine-Learning Device for Institutional Analytics and Early Risk Signaling in Community Lending Environments

    Saeed Ur Rashid, Johannes Ojanen, Junhewk Kim

    A 2023 McKinsey survey found that 56 percent of financial institutions experienced significant concept drift in at least one production machine-learning model, while McKinsey's 2024 Global AI Survey found 58 percent of financial institutions directly...

    68-79
  • IJAI 2024-07-07

    Machine Learning–Driven Strategies for Effective Pileup Suppression

    Dillep Kumar Pentyala, Y. P.

    Pileup is a critical challenge in modern high-energy physics experiments, particularly at high-luminosity colliders where multiple particle interactions occur simultaneously within a single detector readout. These overlapping events introduce significant...

    187-206
  • IJAI 2022-12-29

    Medical Decision-Making with the Help of Quantum Computing and Machine Learning: An In-Depth Analysis

    Divya Sai Jaladi, Sandeep Vutla

    The use of quantum computing (QC) and machine learning (ML) is on the rise in medical decision-making. These technologies can analyse large datasets, enhance diagnoses, and make personalised therapies possible. In many real-world applications, QC is still...

    199-215
  • IJAI 2024-07-14

    Adaptive Machine-Learning Detection and Prevention of Financial-Transactions Fraud at Community Financial Institutions: Recalibrating Risk Signals Under Shifting Fraud Typologies and Record Suspicious-Activity Monitoring Burdens

    Naima Bintay Karim, Raj Kumar Pentyala, Rafael Simko

    Community financial institutions are facing a simultaneous rise in fraud incidence and in the regulatory monitoring burden that accompanies it. U.S. Suspicious Activity Report (SAR) filings reached a record 3.6 million across all filer groups in 2022, up...

    259-278
  • IJAI 2024-12-31

    Artificial Intelligence, Machine Learning and Deep Learning in Advanced Robotics, A Review

    Sai Krishna Chaitanya Tulli

    The area of high-tech robots has been utterly transformed by AI, ML, and DL in the last several years. The use of AI, ML, and DL is revolutionizing the area of advanced robotics, allowing for more capable, efficient, and adaptive robots that can handle...

    35-58
  • IJAI 2024-07-13

    Embedding Adaptive Machine-Learning Decision Support in Suspicious Activity Report Investigation Workflows: An Enterprise Information-Systems Framework

    Md Soebur Rahman, Eun-Ye Kim

    Community Development Financial Institutions (CDFIs) now represent a $452 billion industry of 1,487 Treasury-certified institutions as of the first quarter of 2023, having grown rapidly, industry assets nearly tripled and the certified-institution count...

    245-258
  • IJAI 2023-12-16

    "Brainy: An Intelligent Machine Learning Framework"

    Divya Sai Jaladi, Sandeep Vutla

    Brainy is a recently made cross-stage machine learning library written in Java. It characterizes interfaces for regular kinds of AI errands, what's more, executions of the most well-known calculations. Smart uses a complex numerical framework which is...

    219-229
  • IJAI 2023-12-31

    Medical applications of machine learning and AI: A need or an opportunity?

    Dillep Kumar Pentyala

    Estimates put the amount of new healthcare data at 2,314,000 gigabytes in 2022, according to the global trend towards digitising health care systems. Better reasoning and more effective utilisation of obtained data are continuous goals of intelligent system...

    65-78
  • IJAI 2024-12-30

    Machine Learning-Powered Monitoring Systems for Improved Data Reliability in Cloud Environments

    Dillep Kumar Pentyala

    Cloud computing has become the backbone of modern digital infrastructure, enabling businesses to leverage scalable, on-demand resources for storage, computation, and data management. However, the dynamic nature of cloud environments introduces challenges in...

    81-111
  • IJAI 2022-12-29

    How Oracle analytics could help Higher Education deliver value to Educators/Students?

    Krishna C Gonugunta, Meng Chen

    Higher education institutions are increasingly adopting data analytics to improve student outcomes, optimize financial planning, and enhance operational efficiency. Oracle Analytics offers a comprehensive suite of business intelligence tools that facilitate...

    138-150
  • IJAI 2022-12-31

    Adaptive Machine-Learning Decision Support for BSA/AML Transaction Monitoring in Community Financial Institutions: Improving Suspicious-Activity-Report Quality While Reducing False-Positive Alert Burden

    Saeed Ur Rashid, Fernando Filgueirus

    Suspicious-activity monitoring in community and mid-sized financial institutions still leans heavily on static, rule-based alerting engines that generate overwhelming volumes of false-positive alerts, straining investigative teams and slowing the production...

    269-284
  • IJAI 2023-12-31

    Application of AI in Biotechnologies: A systematic Review of Main Trends

    Sai Dikshit Pasham

    The developed method can aid in segmenting all knee tissues with a higher accuracy. Musculoskeletal imaging can be more effective for using a deep learning approach. The use of image guidance and robotic systems in spine surgery. The authors described the...

    92-104
  • IJAI 2022-12-31

    An Evaluation of AI in the Classroom

    Sai Krishna Chaitanya Tulli

    The researchers set out to determine how AI will change the face of classroom instruction. Study limitations included a focus on AI's impact on administration, education, and learning, as well as an evaluation approach derived from earlier research. In...

    41-66
  • IJAI 2023-12-16

    Artificial Intelligence–Driven Metadata Management for Comprehensive Data Governance

    Sai Krishna Chaitanya Tulli, Y. P.

    As data ecosystems become increasingly complex, organizations are compelled to implement strong data governance mechanisms to safeguard data accuracy, confidentiality, and regulatory adherence. Within this landscape, metadata management serves as a...

    230-236
  • IJAI 2023-06-30

    Harnessing Machine Learning for Predictive Modeling in Industry 4.0

    Divya Sai Jaladi, Sandeep Vutla

    In an Industry 4.0 climate, the information produced by sensor networks requires AI and information investigation strategies. In this manner, associations face both new freedoms and difficulties; one of them is prescient examination utilizing PC instruments...

    160-168
  • IJAI 2025-12-20

    Model Risk Management for Adaptive Credit Early-Warning Systems in Supervised SmallBusiness Lending: Aligning Machine-Learning Recalibration with Federal Model-Risk Guidance and the NIST AI Risk Management Framework

    Naima Bintay Karim, Tomasz Kovac, Zhu Song-Chun

    SR 11-7, issued jointly by the Federal Reserve and OCC in April 2011, remains a foundational U.S. standard for model risk management. Its framework is based on three core pillars: sound model development, effective independent validation and challenge, and...

    80-94
  • IJAI 2022-12-29

    Data Discovery and Security: Protecting Sensitive Information

    Bharath Kishore Gudepu, Divya Sai Jaladi

    The growth of contemporary computer hardware and the availability of soft-computing tools have penetrated the market and influenced prospective research across nearly all areas of education. Management education is not exempt from the growing trends...

    176-187
  • IJAI 2023-12-16

    Threat Detection in Critical Infrastructure Using AI Models

    Bharath Kumar Bushigampala, Anil Chowdary Inaganti

    This paper presents a comprehensive AI-driven framework tailored for intelligent threat detection and response within critical infrastructure systems, including but not limited to energy grids, water treatment facilities, and transportation networks. With...

    196-208
  • IJAI 2022-12-29

    Ensuring Data Integrity in Cloud Computing Using Artificial Intelligence

    Dillep Kumar Pentyala

    In the digital era, cloud computing has become integral to modern data storage and processing, offering scalability and cost-effectiveness. However, ensuring data integrity defined as the accuracy, consistency, and reliability of data—remains a critical...

    116-137
  • IJAI 2025-12-18

    Concept-Drift-Resilient Ensemble Learning for Financial Transaction Fraud Detection Under Evolving Criminal Typologies

    Md Soebur Rahman, Chashi Sabrina Islam, Mariia Mudryi, Sini Cakmak

    Ensemble machine-learning models have achieved striking published results for financial transaction fraud detection, with recent peer-reviewed studies reporting F1-scores as high as 0.99 and accuracy exceeding 99.9 percent on benchmark credit-card fraud...

    52-67
  • IJAI 2022-12-29

    Leveraging Intelligent Master Data Management to Strengthen Real-Time Data Governance and Business Value

    Y. P.

    In the era of rapid digital transformation, where organizations increasingly rely on data-driven strategies, the ability to manage and synchronize enterprise data in real time has become a critical strategic requirement. Traditional Master Data Management...

    241-245
  • IJAI 2023-12-31

    Application of Artificial Intelligence in Pharmaceutical and Biotechnologies: A Systematic Literature Review

    Sai Krishna Chaitanya Tulli

    Artificial intelligence (AI) has been increasingly applied in various fields of science and technology. In line with the current research, medicine involves an increasing number of artificial intelligence technologies. The introduction of rapid AI can lead...

    105-115
  • IJAI 2025-01-15

    Visual Data Mining: Interactive Visualization Techniques for Knowledge Discovery and Decision Support

    Dillep Kumar Pentyala, Y. P.

    Visual Data Mining is an interdisciplinary approach that integrates data mining algorithms with advanced visualization techniques to support effective knowledge discovery from large and complex datasets. As the volume, variety, and velocity of data continue...

    13-19
  • IJAI 2024-06-28

    Behavioral Analytics for Detecting Insider Threats in Governmental Organizations: A Human-Centric Approach

    Praveen Kumar Pemmasani, Aleksandra

    Behavioral analytics for detecting insider threats in governmental organizations represents a critical area of research focused on identifying malicious or negligent activities from within an organization, often by individuals with authorized access....

    138-148
  • IJAI 2022-12-29

    Artificial Intelligence–Driven Metadata Management for Comprehensive Data Governance

    Y. P., Dillep Kumar Pentyala

    As data ecosystems become increasingly complex, organizations are compelled to implement strong data governance mechanisms to safeguard data accuracy, confidentiality, and regulatory adherence. Within this landscape, metadata management serves as a...

    235-240
1 - 25 of 31 items 1 2 > >> 

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