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54 articles for “Machine Learning”
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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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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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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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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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The Impact and Potential of Artificial Intelligence and Machine Learning Technologies on Education
Abstract: How we study, work, and live is changing as a result of artificial intelligence. AIED is one of theburgeoning fields in educational technologies, according to the 21st international conference onartificial intelligence in education conducted in 2020. Computer science (artificial intelligence) hasalways made a significant contribution to the field of education. The study explains how artificialintelligence and machine learning will shape education in both wealthy and developing nations. Thepurpose of this …
Published in NOLEGEIN Journal of Global Marketing · Vol. 6, Issue 1, 2023 · pp. 1–5 Read article
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FinMate: A Cloud-Based AI and Machine Learning Systemfor Smart Finance Management
Abstract: Managing your own money has become a lot harder since the number of digital payments in India has gone up a lot. The most popular tools still rely on fixed keyword heuristics, which means they can't learn, make predictions about the future, or give tax advice. FinMate fixes these problems with a cloud-native microservices platform that combines three machine learning models with a rule-based engine for optimising taxes. An XGBoost …
Published in NOLEGEIN Journal of Financial Planning and Management · Vol. 9, Issue 2, 2026 Read article
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Phishing URL Detection in the Era of Machine Learning: A Comprehensive Analytical Review
Abstract: The rapid expansion of internet usage and the exponential growth of digital data have significantly increased the global attack surface, leading to a rise in sophisticated cyber threats. Among these, phishing has emerged as one of the most widespread and persistent forms of cyberattacks. Phishing involves the use of social engineering and deceptive techniques to trick users into revealing sensitive information such as login credentials, financial data, and personal details, …
Published in NOLEGEIN Journal of Management Information Systems · Vol. 9, Issue 2, 2026 Read article
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Optimizing Enterprise Financial Risk Management: An Advanced Ensemble Machine Learning Framework for Transactional Fraud Mitigation and Business Continuity
Abstract: Transactional fraud represents a critical threat to enterprise risk management (ERM) and corporate governance, draining billions annually from global financial infrastructures. The Nasdaq Global Financial Crime Report estimates total fraud losses at $485.6 billion annually, with credit card fraud alone accounting for $28.6 billion. Managing this operational vulnerability is severely challenged by data asset asymmetry, where legitimate transactions dwarf fraudulent anomalies by a ratio exceeding 500:1. Standard classification models trained …
Published in NOLEGEIN Journal of Business Risk Management · Vol. 9, Issue 2, 2026 Read article
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AIIM = Artificial Intelligence (AI) + Cohort of Individuals + Marketing
Abstract: Artificial Intelligence (AI) is part of computer science that allows machines to imitate human thinking, such as learning, thinking, solving problems, and understanding the world around them. It uses models based on data, like machine learning and deep learning, to study large amounts of information and find patterns, helping machines make decisions or predictions on their own. Next, there's a group of people in the world who were born between …
Published in NOLEGEIN Journal of Advertising and Brand Management · Vol. 9, Issue 2, 2026 Read article
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Implementation of High Performance and Scalable Cloud Load Balancing of Machine Learning Techniques
Abstract: Currently, managing the load in a cloud environment is the most challenging issue for a researcher. The availability of a wide variety of resources, especially free ones, is a result of cloud computing's dependable technology and Internet access. Users may keep working, offering a very reliable and reasonable service. Clients of distributed computing are changing all through all hierarchical regions as well as in government and schooling to expand the …
Published in NOLEGEIN Journal of Management Information Systems · Vol. 6, Issue 2, 2023 · pp. 13–17 Read article
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Financial Distress Prediction using Machine Learning Methods
Abstract: Bankruptcy in future would lead to heavy losses and attempt should be made to reduce it and prevent such a loss in advance. Potential Misclassification of potential and futurist bankruptcy can be referred to as an audit failure. It is important to predict bankruptcy for different users including investors, auditors, creditors, and regulators. There are various prediction models which have been considered in different studies, this research study includes various …
Published in NOLEGEIN Journal of Financial Planning and Management · Vol. 8, Issue 1, 2025 · pp. 22–27 Read article
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Bitcoin Price Prediction Using Machine Learning Algorithm
Abstract: Bitcoin, being one of the top cryptocurrencies, sees its price influenced by market trends and public opinions. This study introduces a prediction model that uses a Random Forest Classifier along with sentiment analysis to forecast Bitcoin prices. Data on Bitcoin’s past and current performance was gathered using the finance library, while sentiment analysis was conducted on news and comments related to Bitcoin, collected through mwclient. The model’s success was measured …
Published in NOLEGEIN Journal of Financial Planning and Management · Vol. 8, Issue 1, 2025 · pp. 1–7 Read article
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Analysis of the factors affecting the Electric Vehicle (Two-wheeler) sales in India using Machine learning models
Abstract: The adoption of electric two wheelers in India is the result of a complex interplay involving vehicle range charging infrastructure, technological advances, government policies and consumer perception. This study investigates these factors in detail to present a comprehensive understanding of how they influence the transition to electric mobility for environmental concerns and the need for reduction in dependence on fossil fuels. Electric two wheelers are emerging as a primary solution …
Published in NOLEGEIN Journal of Information Technology & Management · Vol. 8, Issue 1, 2025 · pp. 1–9 Read article
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Quantifying the Impact of Perceived Inclusion on Organizational Citizenship Behavior Using Statistical and Machine Learning Approaches in the IT Industry
Abstract: Workplace productivity along with collaboration levels increase through Organizational Citizenship Behavior (OCB) as a major organizational factor. Organizations need to comprehend what motivates IT professionals to practice OCB because this understanding must exist to create an all-inclusive supportive work environment. Traditional statistical models cannot detect the complex interactions existing between the important predictors of OCB that include perceived inclusion and psychological safety and cultural orientation although previous studies identified these …
Published in NOLEGEIN Journal of Information Technology & Management · Vol. 8, Issue 2, 2025 · pp. 1–7 Read article
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Design and Implementation of a Smart Mess Management System Utilizing ArtificialIntelligence, Blockchain, and Biometrics using Machine Learning
Abstract: Messes, which provide communal dining facilities for students and employees in many colleges, universities and business settings, are an important part of the overall infrastructure of these types of facilities. Unfortunately, the manner in which traditional messes rely heavily on manual administrative functions often creates inefficient operationsleading to the frequently experienced problems of inaccurate record-keeping for transactions as well as attendance records, a lack of transparency into financial statements and …
Published in NOLEGEIN Journal of Management Information Systems · 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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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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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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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