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Artificial intelligence (AI) is a subject garnering increasing attention in both academia and the industry today. The understanding is that AI-enhanced methods and techniques create a variety of opportunities related to improving basic and advanced business functions, including production processes, logistics, financial management and others. As this collection demonstrates, AI-enhanced tools and methods tend to offer more precise results in the fields of engineering, financial accounting, tourism, air-pollution management and many more. The objective of this collection is to bring these topics together to offer the reader a useful primer on how AI-enhanced tools and applications can be of use in today’s world. In the context of the frequently fearful, skeptical and emotion-laden debates on AI and its value added, this volume promotes a positive perspective on AI and its impact on society. AI is a part of a broader ecosystem of sophisticated tools, techniques and technologies, and therefore, it is not immune to developments in that ecosystem. It is thus imperative that inter- and multidisciplinary research on AI and its ecosystem is encouraged. This collection contributes to that.
data mining --- decision-making system --- rough set --- mixed integer linear programming --- assembly clearance --- diesel engine quality --- Internet of things --- Wireless nodes --- Hybrid clustering --- Multi-hop routing --- Network lifetime --- Artificial intelligence --- data envelopment analysis --- decision making --- artificial intelligence --- performance --- visual analytics --- system --- air quality --- spatiotemporal --- multivariate --- dimension reduction --- clustering --- regular patterns --- anomalies --- speech recognition --- Long Short Term Memory (LSTM) --- speech output correction --- most-matching --- empirical correlations --- rheological properties --- real-time --- water-based drill-in fluid --- artificial neural network --- elastic parameters --- Poisson’s ratio --- sandstone --- self-adaptive differential evolution --- total organic carbon --- barnett shale --- devonian shale --- fishbone multilateral wells --- predictive models --- well productivity --- international research --- knowledge map visualization --- policy documents quantification --- research hotspot --- policy keyword --- minimum miscibility pressure (MMP) --- CO2 flooding --- new models --- face recognition --- security --- spoofing --- histogram of oriented gradients --- smart cities --- deep learning --- LSTM --- neural networks --- location prediction --- trajectories --- smart tourism --- static Young’s modulus --- sandstone formations --- machine learning --- n/a --- Poisson's ratio --- static Young's modulus
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Advances in materials are crucial to the development of sports equipment, from tennis rackets to skis to running shoes. Materials-driven improvements in equipment have helped athletes perform better, while enhancing safety and making sport more accessible and enjoyable. This book brings together a collection of 10 papers on the topic of sports materials, as published in a Special Issue of Applied Sciences. The papers within this book cover a range of sports, including golf, tennis, table tennis and baseball. State-of-the-art engineering techniques, such as finite element modelling, impact testing and full-field strain measurement, are applied to help further our understanding of sports equipment mechanics and the role of materials, with a view to improving performance, enhancing safety and facilitating informed regulatory decision making. The book also includes papers that describe emerging and novel materials, including auxetic materials with their negative Poisson’s ratio (fattening when stretched) and knits made of bamboo charcoal. This collection of papers should serve as a useful resource for sports engineers working in both academia and industry, as well as engineering students who are interested in sports equipment and materials.
n/a --- foam --- finite element --- sportswear textiles --- cannon --- textiles --- impact attenuation --- shockpad --- foam protective mats --- robot --- additive manufacturing --- indentation --- bat --- rubber --- slope of grain --- wood --- injury --- strain --- impact --- durability --- protective equipment --- mechanical properties --- artificial turf --- strain propagation --- auxetic foam --- sports safety --- torsion --- quick-dry yarn --- concussion --- baseball --- finite element modelling --- polymer --- strain rate --- Charpy --- protection --- rate dependence --- functional composite yarns --- impact testing --- golf --- helmet --- architecture --- auxetic --- clubhead --- digital image correlation --- finite element analysis --- tennis --- comfort --- negative Poisson’s ratio --- friction --- bamboo charcoal yarn --- EFG method --- sport --- finite elements --- shaft
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Manufacturers of soft polymer products, as well as suppliers and processors of polymers, raw materials, and compounds or blends are compelled to use predictive and advanced laboratory testing in their search for high-performance soft polymer materials for future applications. The collection of 12 publications contained in this edition therefore presents different methods used to solve problems in the characterization of various phenomena in soft polymer materials, asks relevant questions and offers appropriate solutions.
Research & information: general --- Physics --- ultraviolet radiation --- thermoplastic elastomer --- high vinyl S-B-S --- photoinitiator --- mechanical properties --- rubber --- curing --- bismaleimide --- tensile strength --- Diels–Alder reaction --- effective electrical resistance --- elastomer sensors --- natural rubber --- local strain --- conductive filler --- digital image correlation --- strain sweep --- rheometer --- rubber process analyzer --- swelling --- absorption --- infrared spectroscopy --- mass spectrometry --- gas chromatography --- mechanical behavior --- synthetic aviation fuels --- 3D printed elastomers --- elastomer --- fast characterization --- energy stored and released --- heat source reconstruction --- intrinsic dissipation --- infrared thermography --- engine mount --- elastomer characterisation --- experimental testing --- resonance frequency --- dynamic stiffness --- parameter identification --- electrodynamic shaker --- test bench --- cogging torque --- synchronous machine --- carbon black --- tensile --- Mullins effect --- Payne effect --- dynamic strain --- hysteresis --- material testing --- rheology --- Poisson’s ratio --- viscoelasticity --- plasticizer --- polarity --- carbon black network --- simultaneous mechanical and dielectric analysis --- mechanical stability --- glass transition --- kinetics --- resin --- BDS --- FDSC --- nanocomposites --- carbon nanotubes --- atomic force microscopy --- dynamical mechanical analysis
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Artificial intelligence (AI) is a subject garnering increasing attention in both academia and the industry today. The understanding is that AI-enhanced methods and techniques create a variety of opportunities related to improving basic and advanced business functions, including production processes, logistics, financial management and others. As this collection demonstrates, AI-enhanced tools and methods tend to offer more precise results in the fields of engineering, financial accounting, tourism, air-pollution management and many more. The objective of this collection is to bring these topics together to offer the reader a useful primer on how AI-enhanced tools and applications can be of use in today’s world. In the context of the frequently fearful, skeptical and emotion-laden debates on AI and its value added, this volume promotes a positive perspective on AI and its impact on society. AI is a part of a broader ecosystem of sophisticated tools, techniques and technologies, and therefore, it is not immune to developments in that ecosystem. It is thus imperative that inter- and multidisciplinary research on AI and its ecosystem is encouraged. This collection contributes to that.
Information technology industries --- data mining --- decision-making system --- rough set --- mixed integer linear programming --- assembly clearance --- diesel engine quality --- Internet of things --- Wireless nodes --- Hybrid clustering --- Multi-hop routing --- Network lifetime --- Artificial intelligence --- data envelopment analysis --- decision making --- artificial intelligence --- performance --- visual analytics --- system --- air quality --- spatiotemporal --- multivariate --- dimension reduction --- clustering --- regular patterns --- anomalies --- speech recognition --- Long Short Term Memory (LSTM) --- speech output correction --- most-matching --- empirical correlations --- rheological properties --- real-time --- water-based drill-in fluid --- artificial neural network --- elastic parameters --- Poisson's ratio --- sandstone --- self-adaptive differential evolution --- total organic carbon --- barnett shale --- devonian shale --- fishbone multilateral wells --- predictive models --- well productivity --- international research --- knowledge map visualization --- policy documents quantification --- research hotspot --- policy keyword --- minimum miscibility pressure (MMP) --- CO2 flooding --- new models --- face recognition --- security --- spoofing --- histogram of oriented gradients --- smart cities --- deep learning --- LSTM --- neural networks --- location prediction --- trajectories --- smart tourism --- static Young's modulus --- sandstone formations --- machine learning --- data mining --- decision-making system --- rough set --- mixed integer linear programming --- assembly clearance --- diesel engine quality --- Internet of things --- Wireless nodes --- Hybrid clustering --- Multi-hop routing --- Network lifetime --- Artificial intelligence --- data envelopment analysis --- decision making --- artificial intelligence --- performance --- visual analytics --- system --- air quality --- spatiotemporal --- multivariate --- dimension reduction --- clustering --- regular patterns --- anomalies --- speech recognition --- Long Short Term Memory (LSTM) --- speech output correction --- most-matching --- empirical correlations --- rheological properties --- real-time --- water-based drill-in fluid --- artificial neural network --- elastic parameters --- Poisson's ratio --- sandstone --- self-adaptive differential evolution --- total organic carbon --- barnett shale --- devonian shale --- fishbone multilateral wells --- predictive models --- well productivity --- international research --- knowledge map visualization --- policy documents quantification --- research hotspot --- policy keyword --- minimum miscibility pressure (MMP) --- CO2 flooding --- new models --- face recognition --- security --- spoofing --- histogram of oriented gradients --- smart cities --- deep learning --- LSTM --- neural networks --- location prediction --- trajectories --- smart tourism --- static Young's modulus --- sandstone formations --- machine learning
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