Data-Driven Models Of Neutropenia – alle Bücher, Seite 4

Kwang Hun Kim, Ju Song Kim, Song Il Ri
Application of data decomposition and deep learning technique

Water pollution is one of the most serious environmental problems worldwide. Accurate forecast of water quality is of great importance since it can provide useful information for the managers to minimize …

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Advances in Data Science and Optimization of Complex Systems

.- Investigation of the modeling capability of Kolomogrov Arnold network for part quality prediction in machining.- Enhancing Taxonomy Construction via Sentence Embedding Models Trained with LLM-Generated…

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Universality of semantic frames and language specific Bulgarian data

The book Universality of semantic frames and language specific Bulgarian data is devoted to the principles of data organisation in the Bulgarian FrameNet, which has been in development for more than 20 ye…

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Advances in Data Science and Optimization of Complex Systems

This proceeding set contains 81 selected full papers presented at the International Conference on Applied Mathematics and Computer Science (ICAMCS 2024), which was held on December 20-21, 2024 in Hanoi, V…

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Handbook of AI and Data Sciences for Sleep Disorders

The rise of lifestyle changes resulting from constant connectivity, irregular work schedules, heightened stress, and disruptive sleep patterns, have contributed to increasing insomnia rates. Exacerbated b…

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The Cambridge Handbook of Behavioural Data Science

The Cambridge Handbook of Behavioural Data Science offers an essential exploration of how behavioural science and data science converge to study, predict, and explain human, algorithmic, and systemic beha…

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Clinical Applications of Artificial Intelligence in Real-World Data

Part 1: Data Processing, Storage, Regulations.- Biomedical Big Data: Opportunities and Challenges.- Quality Control, Data Cleaning, Imputation.- Data Security And Privacy Issues.- Data Standards and Termi…

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Philippe Bonnet, Alberto Lerner
Principles of Database and Solid-State Drive Co-Design

This book offers a comprehensive resource on Solid-State Drives (SSD) as the field undergoes a radical evolution characterized by the incredible variety of SSD forms and their rapid diversification. It pr…

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The Cambridge Handbook of Behavioural Data Science

The Cambridge Handbook of Behavioural Data Science offers an essential exploration of how behavioural science and data science converge to study, predict, and explain human, algorithmic, and systemic beha…

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Emotional Data Applications and Regulation of Artificial Intelligence in Society

This revolutionary new book on using AI to process human emotion data seeks to raise awareness for the topic, thoroughly discuss it from a multidisciplinary perspective and, by doing so, disseminate resea…

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Kazumitsu Ito
Ito, K: Statistical Data Analysis of Japanese Literature

While working as a full-time doctor at a hospital in the suburbs of Iwata City, Shizuoka Prefecture, Japan, I have been studying Japanese literature. This book was the culmination of over 10 years of dedi…

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Arshad Khan
Business Intelligence and Data Analysis in the Age of AI

Unlock data-driven decision-making with Business Intelligence and Data Analysis in the Age of AI. This guide combines traditional BI with AI's transformative power to help professionals and newcomers exce…

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Handbook of Artificial Intelligence and Data Sciences for Routing Problems

This handbook delves into the rapidly evolving field of artificial intelligence and optimization, focusing on the intersection of machine learning, combinatorial optimization, and real-world applications …

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Quantitative Methods and Data Analysis in Applied Demography - Volume 2

This second volume of two complements volume 1 by discussing models, risk and surveys in applied demography. Models and modeling cover a wide range of data analysis methods and techniques to cope with dem…

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Frank Emmert-Streib, Salissou Moutari, Matthias Dehmer
Elements of Data Science, Machine Learning, and Artificial Intelligence Using R

The textbook provides students with tools they need to analyze complex data using methods from data science, machine learning and artificial intelligence. The authors include both the presentation of meth…

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Eduardo G. Altmann
Statistical Laws in Complex Systems

This book provides a unifying approach to the study of statistical laws, critically evaluating their role in the theoretical understanding of complex systems and the different data-analysis methods used t…

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Huadong Guo
Big Earth Data in Support of the Sustainable Development Goals (2023) - China

Sustainable Development Goals Series

This open access book showcases the innovative practices of Big Earth Data methods through a collection of comprehensive case studies to the monitor and evaluate indicators for seven SDGs, i.e., zero hung…

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Izhak Rubin
Principles of Data Transfer Through Communications Networks, the Internet, and Autonomous Mobiles

Understand the principles and practical basis of global telecommunications and data communications networks with this essential textOur increasingly connected world is more reliant than ever on data trans…

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Application and Development of Data Simulation and Mechanical Analysis in Civil Engineering

The proceedings of the 11th International Conference on Civil Engineering are mainly aimed at middle and senior engineering and technical personnel in the field of civil engineering. It mainly reports the…

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Innovative Applications of Artificial Neural Networks to Data Analytics and Signal Processing

This book deals with the application of ANNs in real-world problems requiring data analysis and signal processing. Artificial neural networks (ANNs) have emerged in society thanks to the large number of a…

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