Neural Networks – alle Bücher, LPs und CDs, Seite 5

Proceedings of the 8th International Symposium on Solid Mechanics

This book presents the proceedings of Mecsol 2022. The papers cover multidisciplinary topics, including Fatigue and Failure Analyses; Composite Materials and Structures; Elasticity, Plasticity, Damage and…

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Coded Optical Imaging

Part I Fundamentals.- A brief history / Introduction.- Encoding optical signals in image acquisition.- Convex optimization for image reconstruction.- Machine learning for coded optical imaging.- Single-pi…

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Advanced Technologies, Systems, and Applications X

Detection of Pneumonia Using VGG-16, MobileNetV2, and ResNet50 Convolutional Neural Networks.- Machine Learning Analysis of PM2.5 and NO2 Concentrations of Air Pollutants.- Impact of ECG Segmentation on E…

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Artificial Intelligence for Integrated Smart Energy Systems in Electric Vehicles

.- Artificial Intelligence in Electric Vehicles for Sustainable Driving.- Modernization of Electric Grids for Charging of Electric Vehicles.- Mitigating Impacts of Electric Vehicle Charging Stations to th…

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Advanced Informatics for Computing Research

Artificial Intelligence.- Forcasting stock values by intergrating GANN Square analysis with Artificial Intelligence (AI).- Face Spoof Detection: The Preprocessing Paradigm.- Traffic Sign Recognition using…

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Innovations in Smart Cities Applications Volume 8

.- 1 Real-Time System For Detecting Harmful Ingredients In Underarm Products Using Optical Character Recognition And Machine Learning Techniques.- 2 Architecture To Recreate Immersive Scenarios For Practi…

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Andreas M. Billert
Predictive Battery Thermal Management of Electric Vehicles using Deep Learning

Improving the energy efficiency of battery electric vehicles increases their range and reduces well-to-wheel emissions. An efficient battery thermal management reduces the energy consumption while taking …

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Applications of Artificial Intelligence and Data Science

.- Advanced Computing and Statistics.- Towards Reserve Margin Correction via Outage Capacity Forecasting Using Gramian Angular Field and Long Short-Term Memory (LSTM). .- Comparison of Hyperspectral Image…

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Quantum Machine Learning in Industrial Automation

1.Quantum Machine Learning for Cost Variance Analysis in Industrial Manufacturing Processes: A Computational Breakthrough.- 2.Enhanced Optimization-Quantum Machine Learning.- 3.Industrial Automation and C…

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Emerging Wireless Technologies and Sciences

.- Sunflower-inspired Precision: Automatic Solar Tracking System for Enhanced Energy Harvesting. .- Artificial Neural Network Based ECG Feature Extraction Using Wavelet Transform. .- Analyzing the Hybrid …

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Vaibhav Verdhan
Models and Algorithms for Unlabelled Data

Discover all-practical implementations of the key algorithms and models for handling unlabeled data. Full of case studies demonstrating how to apply each technique to real-world problems. In Models and Al…

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Quantum-Inspired Approaches for Intelligent Data Processing

Quantum-Inspired Approaches for Intelligent Data Processing explores the cutting-edge fusion of quantum computing principles and soft computing techniques, unraveling the synergistic potential of these tw…

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Proceedings of 5th International Conference on Artificial Intelligence and Smart Energy

This book discusses the latest developments in computing techniques that power smart energy and sustainable solutions. Over the last few years, artificial intelligence (AI) has been more deeply embedded i…

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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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Computational Science - ICCS 2025

ICCS 2025 Main Track Full Papers.- Backtranslation and Paraphrasing in the LLM Era? Comparing Data Augmentation Methods for Emotion Classification.- Explainable Artificial Intelligence for Bioactivity Pre…

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Lin Zhao, Jinpeng Yu
Adaptive Backstepping Consensus Control for Nonlinear Multi-Agent Systems

Adaptive Backstepping Consensus Control for Nonlinear Multi-Agent Systems: Command Filtered Backstepping offers a new design solution for students, researchers, and engineers working on distributed cooper…

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Rohit Kumar
Fundamentals of Cost-Efficient AI

Fundamentals of Cost-Efficient AI: In Healthcare and Biomedicine provides a comprehensive yet accessible introduction to the principles of designing, training, and deploying efficient artificial intellige…

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Interplay of Artificial General Intelligence with Quantum Computing

Shaping Tomorrow: The Convergence of Artificial General Intelligence and Quantum Computing.- 2. Evolution of Artificial Intelligence and Quantum Computing.- 3. Architecture of Quantum Neural Networks: Des…

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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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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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