1.065 hasil untuk machine learning
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AI-Enabled Adversarial Attacks on IoT Networks: Defending Intelligent Systems Against AI-Driven Cyber Threats
…by sophisticated adversaries. AI-enabled cyberattacks, adversarial machine learning, data poisoning, evasion attacks, model manipulation, and intelligent attack automation pose significant challenges to the security, reliability, and trustworthiness of interconnected IoT environments. This book…
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Efficient MLOps
Efficient MLOps is a detailed strategy for streamlining machine-learning operations through GitHub-centric workflows and automation. From setting up efficient training pipelines to implementing real-time model monitoring—this book presents battle-tested best practices for ML Engineers. Learn the…
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The AI Shield: Defending Against Zero-Day Threats with Intelligent IDS
…(IDS). The book begins by establishing the foundational concepts of AI, machine learning, and cybersecurity, then progresses to discuss various IDS architectures and their limitations in handling modern, sophisticated cyberattacks. It delves deeply into the role of machine learning and deep…
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A REVIEW ON AI-DRIVEN DRUG DISCOVERY: CURRENT TRENDS AND FUTURE DIRECTIONS
…during various phases of the drug discovery pipeline. AI methods like machine learning, deep learning, natural language processing, and generative models offer great possibilities in target identification, virtual screening, lead optimization, and clinical trial design. Case studies reveal how AI…
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AI in Microscopy: A BioImaging Guide
AI in Microscopy is an interactive online textbook intended to introduce biologists and microscopists to the fundamentals of artificial intelligence and machine learning. See the live version of the textbook here: https://bioimagingai.janelia.org/ .
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ML Framework for Real-Time Weather Forecasting
This research presents an integrated Machine Learning-Based Weather Prediction and Travel Decision-Making Recommendation System to enhance the accuracy of short-term weather forecasts and improve decision-making in travel planning. The proposed system integrates real-time weather data into several…
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NATURAL LANGUAGE PROCESSING IN AI
…of intelligent systems. This field combines computational linguistics, machine learning, and deep learning to analyze and model the structure and meaning of natural languages. The evolution of NLP has been driven by advancements in AI algorithms and large-scale data availability. Techniques such as…
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Qutrit Quantum Instrument: Logical Lock Plus, Sparse Effective Information Pro, and the Unified Evidence Functional Max
Abstract This paper establishes the Qutrit Quantum Instrument (QQI), a training-free structure-first inference architecture in which finite revealed evidence determines route authority before a valid qutrit quantum instrument updates state. The architecture combines complete forward–reverse replay…
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Computer Science Principles and Practices, Volume III
…practical applications, with a strong focus on Artificial Intelligence, Machine Learning, Data Analytics, and predictive modelling . The book presents a collection of project-based chapters addressing real-world problems such as AI/technology job salary prediction, movie success prediction, Uber…
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The MAKEathon Playbook
MAKEathon is a hackathon that focuses on building innovative AI solutions, including data- and knowledge-driven techniques, i.e. Machine Learning + Knowledge Representation and Machine Reasoning. This playbook aims to serve as a practical manual for organizing teams of MAKEathon. From the project…
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An Adaptive Decision Tree-Based Predictive Analytics System with Dynamic Feature Selection for Real-Time Data Processing BY LAXMI MADHU KUMAR BRAHMANDAM
…feature spaces, and the demand for real-time decision-making. Machine learning and predictive analytics have emerged as powerful tools for extracting meaningful insights from complex datasets. Among the various machine learning techniques, decision tree-based models have gained widespread…
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NATURAL LANGUAGE PROCESSING IN AI
…and generate human language. By combining computational linguistics, machine learning, and deep learning techniques, NLP allows computers to process unstructured textual and spoken data efficiently. Its applications span sentiment analysis, machine translation, chatbots, information retrieval, and…
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AI for Official Statistics
This book exists to help move official statistics beyond the traditional, into applied machine learning, and onto GenAI. Federal statistical agencies collect, process, and publish some of the most consequential data in the world. The methods behind that work are evolving. Machine learning, large…
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AI Phishing Finder: An AI-Based Detection System for Phishing Emails
…This paper presents AI Phishing Finder, a lightweight and practical machine-learning-based system designed to assist non-technical users in identifying phishing emails. The system is developed using a publicly available dataset containing legitimate and phishing emails. Text preprocessing…
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HUMAN RESOURCE MANAGEMENT
This book is appropriate for anyone interested in learning more about innovative techniques to implement in human resource management for hiring a talent pool of workers for establishing their quality in business sectors which is used to develop and utilising cutting edge technologies in various…
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RF, MICROWAVE AND ANTENNA & CHATGPT
…engineering, and their integration with artificial intelligence and machine learning.
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DETERMINISTIC SUSTAINABLE COST-EFFICIENT ARTIFICIAL INTELLIGENCE: A Complementary Computational Framework
…perspective on artificial intelligence. Rather than treating learning exclusively as an iterative optimization process, this book explores conditions under which learning may be formulated as a structural equilibrium problem and computed directly through algebraic methods. The book develops the…
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LANDSCAPE: AI-DRIVEN GEOSPATIAL INTELLIGENCE FOR PUBLIC HEALTH AND ENVIRONMENTAL RISK ASSESSMENT
…challenges. It introduces the foundations of GEOINT, GIS, remote sensing, machine learning, deep learning, transformer models, and explainable AI, and applies them to environmental risk assessment, PM2.5 forecasting, air quality prediction, climate and hazard forecasting, real-time surveillance…
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Forecasting models – an overview with the help of R software: Time Series Prediction - Past, Present and Future
…values. Current day forecasting models uses advanced techniques such as Machine Learning and Deep Learning Algorithms which are more robust and can handle high volume of data. This book starts with the overview of forecasting and time series concepts and moves on to build forecasting models using…
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AI-Driven Software Engineering Automated Development, Testing and Maintenance
AI-Driven Software Engineering explores the transformation of software engineering through Machine Learning, Deep Learning, NLP, Large Language Models, Generative AI, Explainable AI, and Agentic AI. Covering the complete SDLC—from requirements engineering, architecture, code generation, testing…
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