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10 articles for “Machine, Network, Machine”
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Research Paper on How Chatbots is used to Generate Leads in the Real Estate Industry
Abstract: Chatbots are trained programs which are personalized by an organization to meet the needs and demands of its customer. The importance of Chatbots is also now seen in the Real Estate industry. Real Estate industry use Chatbots to interact with the potential clients and convert those clients into a potential lead. In this paper author present an effective and an intelligent Chatbot. This Chatbot is build with various machine learning …
Published in NOLEGEIN Journal of Information Technology & Management · Vol. 2, Issue 1, 2019 · pp. 14–16 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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AI in Finance: Fraud Detection and Risk Assessment
Abstract: Artificial Intelligence (AI) is changing how the financial world spots scams and handles risks. It acts like a super-smart helper, catching trouble fast—whether it’s crooks stealing money or loans going sour. This paper explores how AI helps banks and companies stay safe, digs into what experts have learned, and look at what’s coming next. We also ask a big question to guide future work, all in simple words anyone can …
Published in NOLEGEIN Journal of Financial Planning And Management · Vol. 8, Issue 2, 2025 · pp. 45–50 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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Analyze Impact of Digital Transformation on The Retailing Value Chain
Abstract: The impact of digital transformation on the retailing value chain is a significant area of study, with implications for the entire sequence of activities involved in delivering a product or service to consumers. The value chain in retail encompasses every stage, from product creation to customer satisfaction, and can be optimized to gain a competitive edge. Digital transformation has been found to erode institutional retailing as the primary interface to …
Published in NOLEGEIN Journal of Supply Chain and Logistics Management · Vol. 7, Issue 1, 2024 · pp. 12–15 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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Energy-Efficient Neuromorphic Spiking Neural Networksfor Real-Time Event-Driven Stock Market Prediction: A Systematic Review
Abstract: I believe that neuromorphic computing and financial prediction is now a genuinely exciting, yet under-researched, area of applied machine learning study. The paper presents a systematic literature review of the literature based on energy efficient Spiking Neural Networks (SNNs) in forecasting events-based real-time stock market data. Event based in character Financial time-series data is not continuous in nature, but consists of major discrete events like significant price changes, volume surges, …
Published in NOLEGEIN Journal of Financial Planning And Management · Vol. 9, Issue 2, 2026 Read article
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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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Artificial Intelligence in Supply Chain Management
Abstract: Every company's long-term sustainability depends on an effective supply network. Inventory estimation accuracy is a significant competitive advantage. The supply chain's capacity to satisfy demand is affected by weather, excessive seasonality, and changes in customer perception or media attention. Humans can now think at previously unimaginable levels thanks to AI, which has just been shown to act as an extension of the human brain. Instead of replacing humans, artificial intelligence …
Published in NOLEGEIN Journal of Supply Chain and Logistics Management · Vol. 5, Issue 1, 2022 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