1,065 results for machine learning
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AN INTELLIGENT ML-BASED SYSTEM FOR IDENTIFYING ANOMALIES IN UPI PAYMENT NETWORKS
As adoption of UPI for online transactions is on the rise, fraud has also been rising sharply. This project applies machine learning to identify UPI fraud in real time with the help of Random Forest algorithm. The model was trained using a dataset that includes transaction information such as…
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Digital Technologies – An overview of concepts, tools and techniques associated with it
…networks, Cloud computing, Big Data, Internet of Things, 3D Printing, Machine learning, Virtual reality, Natural Language Processing, Block Chain, Artificial Intelligence, Robotics and Quantum Computing. Digital technologies are so dynamic and it becomes difficult to cope up with the pace with…
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Mathematics and Statistics in the Era of Artificial Intelligence and Data Analytics
…the way data are collected, processed, interpreted, and utilized. Modern machine learning algorithms, deep learning architectures, optimization techniques, and intelligent decision-support systems rely heavily on mathematical modeling, statistical inference, probability theory, numerical methods…
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Application of Artificial Intelligence in IOT
…of Internet of Things (IoT) systems. The chapters cover topics such as machine learning for sensor data analytics, intelligent edge devices, smart environments, and AI-driven decision-making in real-world IoT applications. The volume is intended for students, researchers, and practitioners…
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AI DATA ANALYTICS USING PYTHON
…wide ecosystem of libraries make it the go-to language for data analysis, machine learning, and AI. The primary aim of this book is to provide both the theoretical understanding and practical applications of data analytics, machine learning, and AI, using Python and cutting-edge technologies such…
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AI-Powered Transport: (The Next Generation of Automotive Innovations)
…vehicles (AVs) were developed and made possible by AI. Equipped with deep learning algorithms and synchronized sensors, autonomous vehicles (AVs) can safely understand, analyse, and navigate complicated situations. This discovery has the potential to improve urban transit, traffic safety, and…
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Advanced Wavelet Methods: Multiresolution Analysis, Custom Wavelets, and Feature Engineering
…transforms, custom wavelet construction, and feature engineering for machine learning . A recurring theme throughout these chapters is that practical performance often depends less on using “more wavelets” and more on choosing the right representation for a given signal class and objective…
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Industry 4.0 - Technologies, Trends & Applications
…G, Ms. D. Saranya, Praveenkumar K S Chapter Contributors Evaluating Machine Learning Approaches for Crop Yield Forecasting in the Era of Industry 4.0 Ms. Juhi Patel, Dr. Aditi Joshi Fiscal Sustainability Challenges in Kerala: An Analysis of Deficit Trends (2012-13 to 2024-25) Dr. Vishnu Govindan An…
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R Programming - A comprehensive guide
…data analysis, data visualization, building various models like machine learning models. It facilitates the incorporation of codes of other languages such as C, C++ and Java in its programming environment. R programming is an open source platform which is developed by originally by Ross Ihaka and…
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Python for Data Science
…concepts and tools such as NumPy, pandas, Matplotlib, Seaborn, and basic machine learning techniques. Emphasis is placed on hands-on examples, real-world datasets, and step-by-step explanations to help learners develop analytical thinking and problem-solving skills.
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Derechos y Desafíos de la Inteligencia Artificial
…la vida social. Revisa los principales enfoques tecnológicos, incluyendo machine learning, deep learning y agentes inteligentes, y examina los riesgos asociados a la toma de decisiones opaca, la manipulación algorítmica y la explotación sistemática de datos personales. Asimismo, aborda los impactos…
Also available at: Zenodo
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Cognitive Computing and Advanced AI Systems
…Internet of Things (IoT), Blockchain, Artificial Intelligence (AI), and Machine Learning (ML). For decades, these fields developed along distinct trajectories. Today, their boundaries have blurred, forming an interconnected, self-sustaining computing ecosystem. The physical-world sensory…
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Intelligent Electrical Engineering: Electric Mobility, Renewable Energy, Smart Grid Technologies, and AI-Driven Power Systems
Intelligent Electrical Engineering presents a comprehensive introduction to the integration of electrical engineering with Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), renewable energy, electric mobility, smart grids, energy storage, and intelligent control…
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Agentic AI for Smart Computing and Intelligent Decision-Making
…tasks across dynamic environments. The subject covers intelligent agents, machine learning, reinforcement learning, knowledge representation, multi-agent systems, and human–AI collaboration. These technologies enable smart computing systems to analyze data, predict outcomes, optimize processes, and…
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AI for Energy Management System
…reliable, and sustainable energy systems. The book covers AI and Machine Learning techniques, energy prediction and demand forecasting, intelligent energy optimization, demand-side management, renewable energy integration, energy storage, and smart grid technologies. It also discusses IoT-based…
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Lines of Force: A Self-Guided Exploration of Electricity and Magnetism
Students, we use electricity and magnetism daily, but how do they each work? This Self Learning Material explains electricity from charged particles at the atomic level to the current that flows in homes and businesses. There are two types of electric current: direct current (DC) and alternating…
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INTEGRATING AI AND ML INTO MEDICAL PRACTICE
This book is appropriate for anyone interested in learning more about innovative techniques for establishing human disease diagnosis with the help of artificial intelligence and machine learningtechniques that are used in various social, societal, medical andmedicine technology fields, as well as…
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AI-Driven Healthcare Systems:From Diagnosis to Decision Support by Ms. Rajashree Sutrawe
…The rapid progress in computational intelligence, data analytics, and machine learning has redefined how healthcare professionals approach diagnosis, treatment planning, and decision-making. This book brings together these emerging trends to present a unified perspective on AI’s potential to…
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Artificial Intelligence in Medical Education
…AI has the potential to revolutionize medical education by enhancing learning experiences, improving diagnostic accuracy, and fostering personalized and adaptive learning environments. This book delves into the various ways in which AI can be integrated into medical education. It provides an…
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