Learning Models – alle Bücher, CDs und LPs, Seite 5

AI-Driven Environmental Pollution Management

This book provides a comprehensive overview of the challenges caused by environmental pollution on a global scale, and delves into the intricate sources of air, water, and noise pollution. It discusses cu…

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Computational Intelligence in Data Science

.- Computer Vision for Real World Applications..- AI-Enhanced breast cancer diagnosis (BCD) using machine learning models with GA-SA Hybrid..- Efficient Medicinal Plant Leaf Classification Using MobileNet…

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Elissaios Sarmas, Vangelis Marinakis, Haris Doukas
Artificial Intelligence for Energy Systems

This book focuses on creating an integrated library of learning models and optimization techniques to assist decision-making on issues in the energy and building sector. It provides modern solutions to en…

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Francesco Leofante, Matthew Wicker
Robust Explainable AI

The area of Explainable Artificial Intelligence (XAI) is concerned with providing methods and tools to improve the interpretability of black-box learning models. While several approaches exist to generate…

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Proceedings of the 2nd Cognitive Mobility Conference

This book features selected papers presented at the 2nd International Conference on Cognitive Mobility which took place on October 19-20, 2023, in Budapest, Bosch Innovation Campus. This conference brough…

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Winkel Tobias
Pedestrian Safety Analysis And Countermeasures

This book is about investigating pedestrian safety by analyzing crash risks in specific, less-studied locations: non-intersection areas, high-speed roadways, and interstate highways. It addresses the sign…

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Robin Sharma
The Wealth Money Can't Buy

*NEW YORK TIMES BESTSELLER*A REVOLUTIONARY METHOD TO BECOME TRULY WEALTHYThe Wealth Money Can't Buy offers you a completely life-changing new philosophy and methodology for enjoying an honestly rich life,…

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Muhammad Ullah
Advanced Snowflake

As Snowflake's capabilities expand, staying updated with its latest features and functionalities can be overwhelming. The platform's rapid development gave rise to advanced tools like Snowpark and the Nat…

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Sen Lin, Zhi Zhou, Junshan Zhang, Xu Chen
Edge Intelligence in the Making

This book conducts a comprehensive and detailed survey of the recent research efforts in edge intelligence. The authors first review the background and present motivation for AI running at the network edg…

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Intelligent Robots and Drones for Precision Agriculture

This book provides extensive information about smart farming, precision agriculture and the technologies that make them succeed. The authors provide detailed machine learning and deep learning models and …

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Jinjin Li, Yanqiang Han
Machine Learning in Protein Science

Harness the power of machine learning for quick and efficient calculations of protein structures and propertiesMachine Learning in Protein Science is a unique and practical reference that shows how to emp…

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Applied Computer Sciences in Engineering

.- Artificial Intelligence..- Term Structure of Crude Oil Futures Prices with Kolmogorov--Arnold Networks: A Nonlinear Extension of the Diebold--Li Model..- What Makes a 7 a 7? Exploration into a Neural N…

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Advances in Databases and Information Systems

.- Keynote Talk..- Data Quality (Assessment) in the Age of AI..- Query Optimization..- Independence Rules: Analysis of Nine Simple Cardinality Estimators and Their Impact on Plan Quality..- Vector Databas…

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Proceedings of the 4th Annual International Conference on Material, Machines, and Methods for Sustainable Development (MMMS2024)

1.Formation maneuver of wheeled mobile robots based on attitude estimation.- 2.Analyze the Reasonableness of the Testing Velocity Value in Headform Impactor to Bonnet Top Tests.- 3.A Design of Obstacle Av…

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Sandhya Vinayakam, A. Lakshmi Muddana
Python for Data Science

The book is designed to serve as a textbook for courses offered to undergraduate and graduate students enrolled in data science. This book aims to help the readers understand the basic and advanced concep…

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Zhixin Pan, Prabhat Mishra
Explainable AI for Cybersecurity

This book provides a comprehensive overview of security vulnerabilities and state-of-the-art countermeasures using explainable artificial intelligence (AI). Specifically, it describes how explainable AI c…

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Robert Osazuwa Ness
Causal AI

From the back cover:Causal AI teaches you how to build machine learning and deep learning models that implement causal reasoning. Discover why leading AI engineers are so excited by causal reasoning, and …

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Eklas Hossain
Machine Learning Crash Course for Engineers

¿Machine Learning Crash Course for Engineersis a reader-friendly introductory guide to machine learning algorithms and techniques for students, engineers, and other busy technical professionals. The book …

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Proceedings of ELM 2022

This book contains selected papers from the 12th International Conference on Extreme Learning Machines 2022. Extreme learning machines (ELMs) continue to be an important complement to the many deep learni…

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From Human Attention to Computational Attention

The new edition of this popular book introduces the study of attention, focusing on attention modeling, and addressing such themes as saliency models, signal detection, and different types of signals, inc…

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