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Engineering for Sustainable Future

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Cover of 'Engineering for Sustainable Future'

Table of Contents

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    Book Overview
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    Chapter 1 The Effects of Strip Cropping Systems on Physico-Chemical Properties of Soil in the Moldavian Plain
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    Chapter 2 Systematic Review of Deep Learning and Machine Learning Models in Biofuels Research
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    Chapter 3 Modelling Temperature Variation of Mushroom Growing Hall Using Artificial Neural Networks
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    Chapter 4 Formation and Research of Properties of Photocatalytic Materials on the Basis of TiO 2 for Water Treatment
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    Chapter 5 Deep Learning and Machine Learning in Hydrological Processes Climate Change and Earth Systems a Systematic Review
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    Chapter 6 Color Control of the Mechanoluminescent Material Through a Combination of Color Centers
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    Chapter 7 Corrosion Resistance and Hydrophobic Properties of Gradient Coatings Based on Carbon and Alloying Elements
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    Chapter 8 Polarization Properties of a Rectangular Balanced Omega Element in the THz Range
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    Chapter 9 Real-Time Analysis and Characterization of Dynamic Performances for Coloration-Bleaching Processes in Electrochromic Devices Based on WO 3 Layers Prepared by Sol-Gel Synthesis
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    Chapter 10 Melting Threshold and Thermal Conductivity of CdTe Under Pulsed Laser Irradiation
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    Chapter 11 Structural Properties of BiFeO 3 and Bi 0,9 La 0,1 FeO 3 Powders Synthesized by Sol-Gel Process
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    Chapter 12 Numerical Experiments for Studying the Structure of the Electromagnetic Field on the Surface of a Small Spherical Conductive Medium
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    Chapter 13 Photon-Coupled, Two-State Photoswitchable Protein-Based Multiple-Valued Logic
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    Chapter 14 Radiation Patterns of Double DNA-Like Helices as Elements of Metamaterials and Antenna Systems
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    Chapter 15 Thermally Annealed in Vacuum Undoped and Al-Doped ZnO Thin Films for Multifunctional Applications
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    Chapter 16 Schottky Diode Detectors with Low Leakage Current at High Operating Voltage
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    Chapter 17 Augmented Smart Refrigerator—An Intelligent Space Application
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    Chapter 18 Domain Reduction Techniques for Sequential Fuzzy Indexing Tables – A Case Study
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    Chapter 19 Building Energy Information: Demand and Consumption Prediction with Machine Learning Models for Sustainable and Smart Cities
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    Chapter 20 List of Deep Learning Models
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    Chapter 21 Advances in Machine Learning Modeling Reviewing Hybrid and Ensemble Methods
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    Chapter 22 State of the Art Survey of Deep Learning and Machine Learning Models for Smart Cities and Urban Sustainability
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    Chapter 23 Improvement of Abstract Reasoning in Teaching Computer Science at Higher Education Level
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    Chapter 24 About the Size of Photon (Again)
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    Chapter 25 Development of Plasma Driven Permeation Measurement System for Plasma Facing Materials
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    Chapter 26 Monitoring the Environmental Quality of Marine Waters Through the Analysis of Biomineralization in Bivalve Shells
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    Chapter 27 Utilization of Atmospheric Plasmas for Agricultural Applications
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    Chapter 28 Colonoscopy Videos: Towards Automatic Assessing of the Bowels Cleansing Degree
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    Chapter 29 Numerical Investigation of Gas-Liquid Two-Phase Flow in a Stirred Tank
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    Chapter 30 Internal Temperature Estimation in Microwave Flow Reactors
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    Chapter 31 Risk Evaluation Model for Information Technology Services in Integrated Risk Assessment
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    Chapter 32 A Model of Induced Motion of Inclusions in Inhomogeneously Stressed Crystals
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    Chapter 33 The Dialogic Advance of Educational Practices
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    Chapter 34 Prediction of Combine Harvester Performance Using Hybrid Machine Learning Modeling and Response Surface Methodology
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    Chapter 35 Urban Train Soil-Structure Interaction Modeling and Analysis
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Title
Engineering for Sustainable Future
Published by
Springer International Publishing, March 2020
DOI 10.1007/978-3-030-36841-8
ISBNs
978-3-03-036840-1, 978-3-03-036841-8
Editors

Várkonyi-Kóczy, Annamária R.

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X Demographics

The data shown below were collected from the profiles of 28 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Student > Master 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Economics, Econometrics and Finance 1 50%