Machine Learning
10 articles · search the full text for this term
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A Comparative Performance Analysis of Machine Learning Models for Predicting Technology Sector Stock Returns Using Global Macroeconomic Indicators
Abstract: The financial markets do not depend on a single factor but are the result of interaction of macroeconomic, investor sentiment, and efficient company-specific factors. It is also difficult to predict the stock market especially in the technology industry because they are nonlinear and highly dynamic. The past few years have seen machine learning methods become effective tools in the analysis of financial data and the identification of implicit relationships that …
Published in NOLEGEIN Journal of Financial Planning and Management · Vol. 9, Issue 2, 2026 Read article
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Critical Analysis of Online Fraud Prevention and Legal Frameworks inIndia: A Meta-Analytic Review
Abstract: Increased digitalization of the financial and government systems in India means that there is an augmented prospect of online frauds, therefore making it a challenge that needs integrated efforts with superior technologies and solid legal frameworks. This meta- analytic review critically looks into the amalgamation of emergent aspects of artificial intelligence, deep learning, and biometric authentication with the emerging legal aspects of fraud prevention in the Indian situation. Biometric systems, …
Published in NOLEGEIN Journal of Corporate & Business Laws · Vol. 9, Issue 2, 2026 · pp. 12–21 Read article
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Leveraging AI for Smart Supply Chain Optimization
Abstract: Supply chain management is a critical component of modern businesses, requiring efficiency, accuracy, and adaptability to meet evolving market demands. It is decision-making, automating processes, and predicting demand with high accuracy. This section analyses artificial intelligence technologies including predictive analytics and machine learning and intelligent automation because they enhance supply chain operational output. All administrative functions including real-time tracking together with forecasting and inventory management along with route optimization create …
Published in NOLEGEIN Journal of Supply Chain and Logistics Management · Vol. 9, Issue 2, 2026 Read article
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AI-Based Career Counselling for Students
Abstract: Career counselling is a part of helping students figure out what they want to do. This is especially true when they are finishing school and trying to decide what to do next. There are many different paths they can take and it can be really hard to choose. Career counselling helps students with this. Students have to deal with a lot of things like figuring out what they are good …
Published in NOLEGEIN Journal of Information Technology & Management · Vol. 9, Issue 2, 2026 Read article
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Detecting Financial Vulnerability in Urban Households Using Machine Learning: A Predictive Model for Early Risk Identification
Abstract: Urban households in an emerging economy are facing financial vulnerability which is a growing socioeconomic concern and usually does not notice the traditional credit evaluation methods. This study proposes a machine learning-based model that will predict an early warning of financial vulnerability by integrating both behavioral and socioeconomic factors. A structured questionnaire was used to collect primary data comprising of 328 urban households with Indians. After data preprocess and feature …
Published in NOLEGEIN Journal of Operations Research & Management · Vol. 9, Issue 2, 2026 Read article
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MQL Propensity Model to Predict Marketing Qualified Leads
Abstract: In the evolving landscape of digital marketing, accurately identifying high-potential leads remains a critical challenge due to increasing data complexity and fragmented analytical systems. This study proposes a comprehensive framework for developing a Marketing Qualified Lead (MQL) Propensity Model aimed at enhancing lead prediction accuracy and operational efficiency. By critically examining existing lead scoring methodologies across Customer Relationship Management (CRM) systems, web analytics platforms, and campaign management tools, the research …
Published in NOLEGEIN Journal of Global Marketing · Vol. 9, Issue 2, 2026 Read article
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AI-Assisted Personal Finance Management System with Real-Time Budget Alerts and Smart Expense Categorization
Abstract: This study presents the design and conceptual development of an AI-assisted Personal Finance Management System (PFMS) that integrates artificial intelligence, machine learning, and behavioral finance principles to enhance individual financial decision-making. The proposed system aims to address limitations of traditional financial tracking tools by incorporating real-time budget alerts, intelligent expense categorization, and predictive analytics to deliver personalized financial insights. By leveraging Natural Language Processing (NLP) and pattern recognition techniques, the …
Published in NOLEGEIN Journal of Financial Planning and Management · Vol. 9, Issue 1, 2026 Read article
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The Intelligent Frontier: Orchestrating AI and Machine Learning for Advanced Financial Fraud Detection
Abstract: Traditional rule-based systems cannot match that scale. They are too slow, too rigid, and too reactive. This paper examines how AI and ML are reshaping fraud detection. It evaluates LSTMs, GNNs, and Transformers as detection tools. Mastercard reported a 20% uplift in fraud detection rates. The paper also maps two emerging frontiers: Agentic AI and Quantum Graph Neural Networks. Strategic guidance is offered throughout CFOs and finance leaders. Global financial …
Published in NOLEGEIN Journal of Leadership and Strategic Management · Vol. 9, Issue 2, 2026 · pp. 30–37 Read article
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Enhancing agriculture supply chains through regional demand forecasting with Machine Learning Algorithms
Abstract: With the stats analysis of 2014 of Our Country Agricultural supply chain faces a significant inefficiencies as the intermediate stakeholders capture the large portion of the value, in this scenario farmers only earn about 31 to 43 percent of final market price. This imbalance contributes to higher consumers expenditures and unequal income distribution and substantial post harvest waste. To tackle these challenges this research introduces kisaankart which is a machine …
Published in NOLEGEIN Journal of Supply Chain and Logistics Management · Vol. 9, Issue 1, 2026 · pp. 8–15 Read article
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Leveraging Artificial Intelligence for Intelligent Risk Management in Small-Scale IT Projects
Abstract: Small-scale information technology (IT) projects are important in ensuring agility to the organization but portend very high mortality rates. Conventional, manual risk management models are usually highly simplistic and reactive in nature and they cannot fit the Agile/DevOps world of small and medium enterprises (SMEs) due to the lack of sufficient data, which is the central focus of this paper.1 Although Artificial Intelligence (AI) has the needed paradigm shift in …
Published in NOLEGEIN Journal of Business Risk Management · Vol. 9, Issue 1, 2026 Read article