Tag: Neural Networks
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INVESTIGATING THE IMPACT OF IMBALANCED DATA ON CREDIT CARD FRAUD DETECTION MODELS Abstract: Credit card fraud has become a pervasive problem in the financial industry, resulting in substantial financial …
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COMPARATIVE STUDY OF SUPERVISED MACHINE LEARNING ALGORITHMS FOR CREDIT CARD FRAUD DETECTION Abstract: Credit card fraud is a significant concern for financial institutions and cardholders, leading to substantial financial …
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COMPARATIVE ANALYSIS OF TRADITIONAL STATISTICAL MODELS AND MACHINE LEARNING MODELS FOR CREDIT CARD FRAUD DETECTION Abstract: Credit card fraud is a prevalent and costly problem that affects financial institutions …
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HOW MACHINE LEARNING CAN EVALUATE THE INFLUENCE OF SOCIOECONOMIC AND CLIMATIC FACTORS IN AGRICULTURAL YIELD: A CASE OF NIGERIA Abstract: Agricultural productivity is heavily influenced by various socio-economic and …
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ENSEMBLE LEARNING FOR URL PHISHING DETECTION ABSTRACT Phishing attacks continue to pose significant threats to individuals and organizations, leading to financial losses, data breaches, and compromised security. As the …
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FORECASTING METHODS FOR OPTIMIZING INVENTORY LEVELS AND MINIMIZING STOCKOUTS. Abstract: Effective inventory management plays a crucial role in the success of businesses across various industries. Maintaining optimal inventory levels …
Branches of Artificial Intelligence and Machine Learning: A Journey into Neural Networks, Deep Learning, NLP, Computer Vision, and Reinforcement Learning In the realm of technology, Artificial Intelligence (AI) and …
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Pages: 88 |
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Chapters: 1-5
NEURAL NETWORKS FOR HANDWRITTEN CHARACTER AND DIGITS TABLE CONTENTS Title Page———i Certification——–ii Dedication———iii Acknowledgement——-iv Abstract ———vi Table of Content——–vii Chapter One 1.0 Introduction ——-1 1.1 Statement of Problem——4 1.2 Purpose of the Study——5 1.3 Significance of Study——8 1.4 Limitation——–9 1.5 Scope of …