Minimizing Uncertainty in the Design of Technical Systems (Hardcover, 1)

Preface. 1. Introduction. 2. Existing Approaches to Uncertainty Management in Engineering Design and Other Areas. 3. A Deeper Understanding of Uncertainty from the Designer’s Perspective. 4. Reducing Uncertainty by Analytical Methods. 5. Reducing Uncertainty Using New Experimental Data. 6. New Approaches to Reducing Uncertainty. 7. Application of the SPARS Design Concept to Ensure Safety in an Aircraft Emergency Landing. 8. The Potential of Artificial Intelligence in Minimizing Uncertainty. 9. Changes in Engineering Design over Time, Their Impact on Uncertainty, and New Challenges.

Nonstandard Linear Quadratic Optimal Control (Hardcover, 1st)

Mechanical Recycling Technologies (Hardcover, 1st)

Biochemical Engineering (Paperback, 3rd)

Preface to the Third Edition xiii
Preface to the Second Edition xv
Preface to the First Edition xvii
Nomenclature xix
About the Companion Website xxiii

Part I Basic Concepts and Principles 1

1 Introduction 3
1.1 Background and Scope 3
1.2 Dimensions and Units 4
1.3 Intensive and Extensive Properties 6
1.4 Equilibria and Rates 6
1.5 Batch Versus Continuous Operation 7
1.6 Material Balance 8
1.7 Energy Balance 9

2 Elements of Physical Transfer Processes 13
2.1 Introduction 13
2.2 Heat Conduction and Molecular Diffusion 13
2.3 Fluid Flow and Momentum Transfer 15
2.4 Laminar Versus Turbulent Flow 17
2.5 Transfer Phenomena in Turbulent Flow 20
2.6 Film Coefficients of Heat and Mass Transfer 22

3 Chemical and Biochemical Kinetics 27
3.1 Introduction 27
3.2 Fundamental Reaction Kinetics 27

4 Cell Kinetics 45
4.1 Introduction 45
4.2 Cell Growth 45
4.3 Growth Phases in Batch Culture 47
4.4 Factors Affecting Rates of Cell Growth 49
4.5 Cell Growth in Batch Fermentors and Continuous Stirred-Tank Fermentors 51

Part II Unit Operations and Apparatus for Biosystems 55

5 Heat Transfer 57
5.1 Introduction 57
5.2 Overall Coefficients U and Film Coefficients h 57
5.3 Mean Temperature Difference 60
5.4 Estimation of Film Coefficients h 62
5.5 Estimation of Overall Coefficients U 66

6 Mass Transfer 71
6.1 Introduction 71
6.2 Overall Coefficients K and Film Coefficients k of Mass Transfer 71
6.3 Types of Mass Transfer Equipment 75
6.4 Models for Mass Transfer at the Interface 78
6.5 Liquid-Phase Mass Transfer with Chemical Reactions 79
6.6 Correlations for Film Coefficients of Mass Transfer 81
6.7 Performance of Packed Column 84

7 Bioreactors 93
7.1 Introduction 93
7.2 S...


외국도서 > 기술공학 > 기술공학 > 생화학

Modern Missile Guidance (Hardcover, 3)

1. Basics of Missile Guidance.? 2. Parallel Navigation.? 3. Analysis of PN Guided Missile Systems in the Time Domain.? 4. Analysis of PN Guided Missile Systems in the Frequency Domain.? 5. Design of Guidance Laws Implementing Parallel Navigation: A Time Domain Approach.? 6. Design of Guidance Laws Implementing Parallel Navigation: A Frequency Domain Approach.? 7. Guidance Law Performance Analysis under Stochastic Inputs.? 8. Guidance of Fixed-Wing UAVs.? 9. Specifics of Hypersonic Missile Guidance.? 10. Testing Guidance Laws Performance.? 11. Integrated Missile Design.? 12. New Generation of Intercept Systems for National Missile Defense.? 13. Missile Guidance Software.??

Translational Chemical Ecology (Hardcover, 1)

1. The Chemical Language of Plants: From Ecology to Translation 2. Chemistry, Diversity and Classification of Plant Volatiles 3. Genetic and Transcriptional Regulation of Volatile Biosynthesis 4. Spatiotemporal Dynamics of Volatile Emissions 5. Hormonal and Environmental Control of Plant Volatiles Emissions 6. Ecological Roles of Plant Volatiles Across Trophic Levels 7. Functional Plasticity and Evolution of VOC Mediated Communication 8. Chemical Blends and Sensory Perception 9. Systems and Omics Approaches in Chemical Ecology 10. Harnessing Plant Volatiles for Sustainable Agriculture 11. Synthetic Biology and Bioengineering of Plant Volatiles 12. Future Frontiers in Translational Chemical Ecology and Bio-innovation

Intelligent Manufacturing Systems and Industry 5.0 (Hardcover, 1)

1. Introduction. 2. Production Environment. 3. Planning and Scheduling in Industry 5.0 Conformed Environment. 4. Manufacturing System Integration and Requirements. 5. Intelligent Enterprise Resource Planning System for Industry 5.0. 6. Application of Industry 5.0 to Assembly Line.

Recent Developments in Renewable Energies Offshore (Hardcover, 1)

1.?Wave energy? 2.?Wave energy (COIN)? 3.?Wind energy? 4.?Wind energy (INF4INiTY 1)? 5.?Tidal energy? 6.?Moorings? 7.?Moorings (ESOMOOR)? 8.?Resource assessment? 9.?Installation planning? 10.?Maintenance planning? 11.?Materials and structural design? 12.?Multiuse platforms? 13.?Ocean Energy Devices? 14.?Renewable Energy Solutions

Emerging Electrospun Materials (Hardcover, 1)

Part I. Electrospinning Science, Modeling, and Biopolymer Fiber Engineering. 1. Mathematical Optimization Approaches for Tailoring Electrospun Nanofibers. 2. Data-Driven Modeling for Predicting Alignment and Properties in Electrospun Fibers. 3. Solvent-Polymer Interactions in Electrospinning: Chitosan Nanofibers Formed from HFIP-Acid Mixtures. 4. Engineering Collagen-PVA Electrospun Scaffolds for Tissue Applications. 5. Surface Biofunctionalization of Electrospun PVA Matrices with Collagen. Part II. Sustainable Nanostructures and Functional Biopolymer-Nanoparticle Composites. 6. Green Synthesis of Silver Nanostructures from AgNO3-Affinin Precursors and their Integration into Chitosan Fibers. 7. Conductivity-Driven Antimicrobial Properties in Chitosan-Silver Nanocomposites. 8. Eco-Friendly Fabrication of Metallic Nanoparticles within Polymeric Solutions for Biocompatible Composites. 9. Deep Eutectic Solvent-Induced Phase Separation for Producing Porous Chitosan Films and Monoliths. 10. Life Cycle Assessment of Porous Electrospun Nanocomposite Fibers for Single-Use Biomedical Applications

Generative Artificial Intelligence for Industry 5.0 (Hardcover, 1)

1. Role of Artificial Intelligence in Smart Manufacturing. 2. Industrial Revolution to Industry 5.0. 3. Adaptive Large Language Models for Real-Time Human?Machine Communication Interfaces in Industry 5.0 Environments. 4. A Unified LLM Framework for Cybersecurity and Workflow Efficiency in Industry 5.0 Ecosystems. 5. AI-Driven Workplace Safety Monitoring: Integrating Generative AI and Computer Vision for Industry 5.0. 6. Graph-Based Multimodal Generative AI for Industrial Internet of Things (IIoT) Using GNNs and GATs. 7. Applications of Generative AI in Personalised Manufacturing and Mass Customisation. 8. Generative AI-Enabled Digital Twins and Smart Factory Simulations for Industry 5.0 Innovation. 9. Hyperspectral Imaging for Intelligent Document Analysis. 10. Security and Privacy in AI-Driven Industry 5.0. 11. Harnessing Industrial IoT (IIoT) with Generative AI (GenAI)Decision-Making: Case Studies for Smart Decision-Making for Industry 5.0.?12. Green AI-based Sustainability Enhancement in Indian Manufacturing for Digital India. 13. Green AI and Sustainable Manufacturing with Digital India. 14. Generative Industry 5.0 AI: Underwater Salient Object Detection Using a Biologically Inspired Contrastive Framework (BC-SOD). 15. Human-in-the-Loop Oil Spill Detection: A Generative AI-Enhanced Remote Sensing Workflow for Industry 5.0. 16. Case studies on Industrial IoT 5.0 and Gen AI.?

Advanced 2D Materials-based Solar Cells (Hardcover, 1)

1.Solar energy and sun?2.Basic Semiconducting Physics 3. Properties Of Photovoltaic (PV) Systems and Components 4. 2D Materials and TMDCs Solar Cells 5. Graphene and its Derivative PV Modules 6. MXxene PV Modules 7. Perovskite Solar Cells 8. A Solar Cells Fabrication 9. Challenges and Future Prospect of PV Technology

Harnessing Digital Mapping for Soil Resource Monitoring and Assessment (Hardcover, 1)

1: Digital Soil Mapping: Concepts, Methods, and Applications for Land Use Planning??2: Bridging Past and Present: The Role of Legacy Data in Digital Soil Mapping? ??3: Diffuse Reflectance Spectroscopy in Soil Science: Principles, Methods and Applications? 4: Improving Digital Soil Mapping through Optimized Sampling Strategies?? 5: Past and Present of Digital Soil Mapping in Russia??6: Digital Mapping of Soil Organic Carbon: Emerging Tools and Techniques??7: Precision Zoning for Smarter Fertilizer application: Advancing Nutrient Management with Digital Mapping Technologies?? 8: Spatial Soil Quality Analysis: Modern Approaches with Digital Mapping Innovations? 9: Modeling soil electrical conductivity and pH using machine learning: Implications for sustainable management of saline soil in irrigated hot arid region? 10: Advancing Soil Health Mapping and Management using Machine Learning and Remote Sensing techniques? 11: Mapping Soil Moisture Variability in Contrasting Ecosystems with Microwave and Optical Data?12: Recent Advances in Soil Moisture Monitoring through Digital Mapping and Remote Sensing? 13: Digital Assessment of Soil Fertility: Applications in Land Suitability analysis??14: Harnessing Geospatial Multi-Criteria Decision Analysis for Sustainable Soil and Water Conservation Measures in Andaman Islands 15: Digital Soil Mapping and Remote Sensing Indices for Evaluating Semi-Arid Agroecosystems in Rajasthan toward SDG 2??16: Land Degradation Vulnerability Mapping in the Kopili Watershed, Assam: A Geospatial and Analytical Hierarchy Process Approach??17: Innovative Soil Salinity Mapping using Deep Learning??18: Digital Soil Mapping for Resource Assessment: Reliability and Uncertainty Analysis??19: Establishing Soil Organic Carbon Baselines for Land Degradation Neutrality: Integrating Digital Soil Mapping for Improved Assessment

Plant Disease Detection Using Machine Learning, Deep Learning, and Metaheuristics (Hardcover, 1)

Preface. 1. Introduction to Plant Disease Detection in Agriculture. 2. Machine Learning for Agricultural Application. 3. Advancing Mango Leaf Disease Detection Through Deep Learning: YOLOv11 Versus YOLOv12. 4. Metaheuristics and Optimization in Agricultural AI: Advancing Plant Disease Detection and Smart Farming. 5. Data Acquisition and Preprocessing for Plant Disease Detection. 6. Machine Learning for Disease Classification and Prediction. 7. Deep Learning Architectures for Image-Based Plant Disease Analysis. 8. Hybrid Models: Integrating ML, DL, and Metaheuristics. 9. Stage-Wise Attention-Guided CNN (2S-XAI-CNN) for High-Accuracy Rice Leaf Disease Classification. 10. Limitations and Challenges of Artificial Intelligence in Crop Disease Detection. 11. Economic Environment Impact of AI and Machine Learning in Plant Disease Detection and Sustainable Agriculture. 12. Emerging Trends and Innovations. 13. Roadmap for the Future Research. 14. Future Prospects of Plant Disease Detection in Sustainable Agriculture.

Concepts of Machine Learning for Life Sciences (Hardcover, 1)

PART I Introduction

Chapter 1 What is machine learning?

Chapter 2 Basic setup

Chapter 3 Machine learning in practice

PART II Machine Learning Algorithms

Chapter 4 Linear regression

Chapter 5 Polynomial regression

Chapter 6 Logistic regression

Chapter 7 K-nearest neighbors

Chapter 8 Support vector machines

Chapter 9 Decision trees and forests

Chapter 10 Neural networks and deep learning

PART III Epilogue

Chapter 11 What to do next?

Construction 5.0 (Hardcover, 1)

Chapter 1.? Chapter 2.? Chapter 3.? Chapter 4.? Chapter 5.? Chapter 6.? Chapter 7

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Construction 5.0 (Paperback, 1)

Chapter 1.? Chapter 2.? Chapter 3.? Chapter 4.? Chapter 5.? Chapter 6.? Chapter 7

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Aviation Operations and Human Factors (Hardcover, 1)

Section I Conceptual and Theoretical Foundations. 1. Overview of Human Factors in Aviation. 2. Human Performance and Limitations. 3.?Factors Affecting Human Performance. 4.?Physical Environment. 5.?Social Psychology. Section II Individual Cognitive Processes and Psychological Competencies. 6.? Situational Awareness. 7.?Decision Making. 8.?Communication. 9.?Emotional Intelligence in Terms of Human Factors. Section III Error, Performance and Human Limitations. 10.?Error Management. 11.?Human Factors Error Explanation Models. 12.?Cognitive Factors in Aviation: Impact on Human Factors. Section IV Ergonomics, Design and Automation. 13. Ergonomics in Aviation. 14. Aircraft Cockpit Display and Control Systems. 15. Automation. 16.?Aircraft Accidents Caused by Human Factors in Design. Section V Tasks, Teamwork, and Professional Behaviour. 17.?Tasks. 18.Team Working. 19.?Leadership. 20. Professionalism.?Section VI CRM, Safety, and Organizational Dimensions. 21.?CRM, TRM, MRM in the Context of Human Factors. 22.?Safety Culture. 23.?Human Factors and Resilience. Section VII Contemporary and Operational Applications. 24. Fatigue Management. 25. Current Human Factors Issues. 26.?Human Factors in Air Traffic Management. 27.?Human Factors in Unmanned Sector Aerial Vehicles.??

Transforming Environmental, Safety, and Health Management Through Artificial Intelligence (Hardcover, 1)

1. Environmental, Safety and Health Management Basics. 2.?Understanding Artificial Intelligence. 3.?Integration of Artificial Intelligence into the Environmental, Safety, and Health Corporate Posture. 4.?Environmental Monitoring and Data Collection. 5.?Climate Risk Assessment and Predictive Modeling. 6.?Resource Optimization and Waste Reduction. 7.?Workplace Monitoring for Safety. 8.?Risk Evaluation and Decision-Making Processes. 9.?Emergency Response and Crisis Management. 10.?Occupational Health Monitoring. 11.?Occupational Health and Disease Surveillance. 12.? Mental Health in the Workplace. 13.?Case Studies from Industry and Government. 14.? Future Trends and Innovation. 15.?Environmental, Safety, and Health Artificial Intelligence Implementation Strategies and Challenges.?

Transforming Environmental, Safety, and Health Management Through Artificial Intelligence (Paperback, 1)

1. Environmental, Safety and Health Management Basics. 2.?Understanding Artificial Intelligence. 3.?Integration of Artificial Intelligence into the Environmental, Safety, and Health Corporate Posture. 4.?Environmental Monitoring and Data Collection. 5.?Climate Risk Assessment and Predictive Modeling. 6.?Resource Optimization and Waste Reduction. 7.?Workplace Monitoring for Safety. 8.?Risk Evaluation and Decision-Making Processes. 9.?Emergency Response and Crisis Management. 10.?Occupational Health Monitoring. 11.?Occupational Health and Disease Surveillance. 12.? Mental Health in the Workplace. 13.?Case Studies from Industry and Government. 14.? Future Trends and Innovation. 15.?Environmental, Safety, and Health Artificial Intelligence Implementation Strategies and Challenges.?

Nanofluids for Thermal Applications (Hardcover, 1)

Preface. 1. Synthesis Techniques and Surface Functionalization of Nanofluids. 2. Rheological Behavior and Flow Characteristics of Nanofluids. 3. Thermal and Electrical Conductivity Enhancement Mechanisms in Nanofluids. 4. Wettability and Surface Interaction Phenomena in Nanofluids. 5. Advanced Characterization Methods for Nanofluids. 6. Nanofluid Thermophysical Properties Prediction Using Machine Learning and Artificial Intelligence. 7. Environmental and Economic Considerations of Nanofluid Deployment. 8. Numerical Modeling of Heat and Mass Transfer Mixed Convection Casson MHD Nanofluid Flow over a Vertical Plate with Nonlinear Thermal Radiation. 9. Challenges, Gaps, and Future Directions in Nanofluid Research and Applications. 10. Hybrid and Multifunctional Nanofluids: Design, Properties, and Emerging Applications. 11. Nanofluids in Renewable Energy Systems ? Applications, Challenges, and Future Prospects. 12. Boiling, Condensation, and Phase-Change Heat Transfer Mechanisms in Nanofluids. 13. Artificial Intelligence, Nanochemistry, and Ionanofluids for Sustainable Development. 14. Adaptive Heat Transfer Enhancement through Magnetically Tunable Hybrid Nanofluids.

Worlds Coordinated with Cosmic Muons (Paperback, 1)

1. Muosphere. 2. Nondirectional World Coordination. 3. Directional World Coordination.

Worlds Coordinated with Cosmic Muons (Hardcover, 1)

1. Muosphere. 2. Nondirectional World Coordination. 3. Directional World Coordination.

Practical Applications of the Fractional Fourier Transform Using MatLab (Hardcover, 1)

1. Introduction 2. Fractional Fourier Transform (FrFT) Background 3. Prior Applications 4. Co-channel Interference Suppression 5. Speech Processing 6. Chirp Rate Shift Keying (CRSK) modulation 7. Channel Estimation 8. Radar and Sonar Target Echo Extraction Algorithms 9. Interference Suppression in GPS 10. Seismic Wave Processing 11. Digital image watermarking 12. Biomedical applications 13. FrFT-Based Spectrum Analyzer 14. Summary and Future Work Bibliography Index

New Machine Learning Methods for the Sustainable Development Goals (Hardcover, 1)

Chapter 1: Development Concerning Sustainability Based on AI. Chapter 2: Introduction of New Artificial Intelligence Methods and Their Applications. Chapter 3: New Hybrid and Ensemble Methods and Their Applications. Chapter 4: The Application of AI Methods in Sustainable Development. Chapter 5: Optimization Techniques Based on Artificial Intelligence for Sustainable Development. Chapter 6: Optimization of the Use of Energy and Resource Materials by Machine Learning. Chapter 7: Artificial Intelligence for Wastewater Treatment for Sustainable Development Goals. Chapter 8: Minimization of Waste Production and Recycling by AI Methods for Sustainable Development Goals. Chapter 9: From Detection to Intervention: A Multi-modal AI Framework for Air Pollution Mitigation. Chapter 10: Minimization of the Use of Fossil Fuels by AI Methods. Chapter 11: Optimization of Project Costs by AI Methods. Chapter 12: Improving Safety and Security Using AI. Chapter 13: Improvement of Public Services by AI Methods. Chapter 14: Improvement of Technical Features of Projects by AI Methods. Chapter 15: Artificial Intelligence in Computational Mechanics and Its Effect on Sustainable Design and Analysis. Chapter 16: Use of AI Methods for Multi-Criteria Decision Analysis.

Polymers (Paperback, 4)

Dedicaton. Preface. Acknowledgements. List of Abbreviations. CHAPTER 1 INTRODUCTION. CHAPTER 2 POLYCONDENSATION AND POLYADDITION. CHAPTER 3 CHAIN POLYMERIZATION. CHAPTER 4 IONIC POLYMERIZATION. CHAPTER 5 LINEAR COPOLYMERS AND OTHER ARCHITECTURES. CHAPTER 6 POLYMER STEREOCHEMISTRY. CHAPTER 7 POLYMERIZATION REACTIONS INITIATED by METAL CATALYSTS and TRANSFER REACTIONS. CHAPTER 8 POLYMERS IN SOLUTION. CHAPTER 9 POLYMER CHARACTERIZATION ? MOLAR MASSES. CHAPTER 10 POLYMER CHARACTERIZATION ? CHAIN DIMENSIONS, STRUCTURES AND MORPHOLOGY. CHAPTER 11 POLYMER CHARACTERIZATION ? CHAIN DIMENSIONS, STRUCTURES AND MORPHOLOGY. CHAPTER 12 THE GLASSY STATE AND GLASS TRANSITION. CHAPTER 13 RHEOLOGY AND MECHANICAL PROPERTIES. CHAPTER 14 THE ELASTOMERIC STATE. CHAPTER 15 STRUCTUR E PROPERTY RELATIONS. CHAPTER 16 SUSTAINABLE POLYMERS AND CIRCULARITY. Index.