Artificial Neural Networks – alle Bücher

Matthias Karlbauer
Artificial Neural Networks for Knowledge Extraction in Spatiotemporal Dynamics and Weather Forecasting

This thesis explores the potential of machine learning methods for improving weather forecasts. Since weather is considered a spatiotemporal process that evolves over space through time, the thesis first …

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Artificial Neural Networks and Machine Learning - ICANN 2025

The four-volume set LNCS 16068-16071 constitutes the proceedings of the 34th International Conference on Artificial Neural Networks and Machine Learning, ICANN 2025, held in Kaunas, Lithuania, September 9…

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Artificial Neural Networks and Machine Learning - ICANN 2025

The four-volume set LNCS 16068-16071 constitutes the proceedings of the 34th International Conference on Artificial Neural Networks and Machine Learning, ICANN 2025, held in Kaunas, Lithuania, September 9…

lieferbar innerhalb 2-3 Wochen

Buch

Artificial Neural Networks and Machine Learning - ICANN 2025

The four-volume set LNCS 16068-16071 constitutes the proceedings of the 34th International Conference on Artificial Neural Networks and Machine Learning, ICANN 2025, held in Kaunas, Lithuania, September 9…

lieferbar innerhalb 2-3 Wochen

Buch

Artificial Neural Networks and Machine Learning - ICANN 2025

The four-volume set LNCS 16068-16071 constitutes the proceedings of the 34th International Conference on Artificial Neural Networks and Machine Learning, ICANN 2025, held in Kaunas, Lithuania, September 9…

lieferbar innerhalb 2-3 Wochen

Buch

Cosmin Radu Popa
Analog Current-Mode Computational Circuits for Artificial Neural Networks

Analog Circuits and Signal Processing

This book discusses in detail low-voltage low-power designs for minimizing the hardware resources required by neural network implementations. The novel method presented in this book for an accurate realiz…

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Ali Kaveh
Applications of Artificial Neural Networks and Machine Learning in Civil Engineering

This book provides different applications of artificial neural networks (ANN) and machine learning (ML) in various problems of material science, structural optimization, and optimal analysis of structures…

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Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops and Special Sessions

.- 2nd AI in Drug Discovery (AIDD) Workshop. .- Early-stage Discovery in the Era of Hard-to-Drug Targets and Giga-scale Chemical Spaces. .- Comparative Analysis of Chemical Structure String Representation…

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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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Kambale Pawase Gershome
Optimal Distribution Of Electrical Energy In The City Of Goma

This work explores the use of neural networks to predict electricity demand and production, and to optimize energy distribution in Goma. It aims to develop ANNs capable of anticipating production at the R…

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Advances in Computational Intelligence

.- Explainable and Interpretable Machine Learning (xAI) with a Focus on Applications..- Understanding of Latent spaces in a battery aging prediction model through eXplainable AI..- Exploring brain lateral…

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Advances in Computational Intelligence

.- Advanced Topics in Computational Intelligence..- Power Quality 24-hour Prediction Based on L-Transform Derivative Modular and Deep Learning Statistics Using Environmental Data in detached Smart Buildin…

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Markus Schwabe
Analyse und Separation polyphoner Musiksignale

In dieser Arbeit werden Ansätze zur verbesserten Signalanalyse mehrstimmiger Musikaufnahmen vorgestellt, die auf künstlichen neuronalen Netzen basieren. Diese Ansätze ermöglichen eine objektive Bewertung …

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Svetlin Georgiev
Neural Network Methods for Dynamic Equations on Time Scales

This book aims to handle dynamic equations on time scales using artificial neural network (ANN). Basic facts and methods for ANN modeling are considered. The multilayer artificial neural network (ANN) mod…

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Stefan Sandfeld
Materials Data Science

Introduction to Data, Data Mining, and Prediction in Materials Science.- A Primer on Probabilities, Distributions and Statistics.- Introduction to Statistical Machine Learning.- Artificial Neural Networks…

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Ivan Danilov
Innovative concept of technological development

Specificity of design and logistics of formation, technological development, production and construction of smart objects or complexes of investments and their innovative software infrastructure component…

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Advances in Smart Knowledge Computing

Exploring the Data Balance Effect: Artificial Neural Network Classification on Rodent Tuber's Liquid Chromatography Mass Spectrometry Data.- Explainable Edge AI for Transparent and Accessible Telemedicine…

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Wael A. Altabey
Composite Materials and Structures

De Gruyter STEM

Structural Health Monitoring (SHM) in composite structures is crucial for safety, increased lifespan, and cost efficiency with early damage detection. The book introduces the reader to composite materials…

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Tin-Chih Toly Chen
Explainable and Customizable Job Sequencing and Scheduling

Chapter 1. Explainable Artificial Intelligence (XAI).- Chapter 2. Artificial Intelligence (AI) Applications in Job Sequencing and Scheduling.- Chapter 3. XAI Applications to Job sequencing and Scheduling.…

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Automation 2025: Recent Advances in Automation, Robotics and Measurement Techniques

Proceedings of the Conference Automation 2025: Recent Advances in Automation, Robotics and Measurement Techniques focuses on recent progress in: measurement techniques and control applied to diverse proce…

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