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Amidst impending climate change and enhanced pollution levels around the globe, the need of the hour is to develop bio-based materials that are sustainable and possess comparable performance properties to their synthetic counterparts. In light of the aforementioned, numerous investigations are being conducted to identify, process, and create materials that are concurrently innocuous towards the environment and have superior properties. This book is a collection of such scientific articles that propagate novel ideas for the development of polymeric composite materials, which have application potential in numerous fields such as medicine, automobile, aviation, construction, etc. It also contains a pedagogical article that proposes some strategies to continue experimental research during pandemics. This book will provide readers a quick glance into recent developments regarding polymeric materials and will encourage them to propagate these research ideas further.
History of engineering & technology --- solid urban waste --- formaldehyde --- durability --- electrical properties --- mechanical properties --- recycling --- epoxy resin --- flammability --- heat release rate --- microscale combustion calorimetry --- multiple linear regression --- adaptive neuro-fuzzy inference system --- polyvinyl alcohol (PVA) --- bionanocomposites --- nanomechanical behaviour --- thin films --- particle size --- model free --- model fitting --- avrami-eroféev --- DAEM --- superhydrophobic surfaces --- self-healing --- natural hierarchical microstructures --- wood --- bio-composite --- linear low density polyethylene --- performance --- straws --- biocomposites --- nanofibers --- electrospinning --- cell culture --- graphene oxide --- barrier properties --- poly(lactic acid) --- clay --- nanocomposite --- permeability --- bacterial cellulose --- metal organic framework --- adsorption --- chitosan --- composite nanofibers --- silk fibroin --- polycaprolactone --- Taguchi --- rheological properties --- DMA --- injection molding --- thermal properties --- natural fibers --- biochar --- carbon fillers --- nanocomposites --- flame retardants --- fire --- PHB --- natural fiber --- compatibilizer --- cellulose --- biocomposite --- solid urban waste --- formaldehyde --- durability --- electrical properties --- mechanical properties --- recycling --- epoxy resin --- flammability --- heat release rate --- microscale combustion calorimetry --- multiple linear regression --- adaptive neuro-fuzzy inference system --- polyvinyl alcohol (PVA) --- bionanocomposites --- nanomechanical behaviour --- thin films --- particle size --- model free --- model fitting --- avrami-eroféev --- DAEM --- superhydrophobic surfaces --- self-healing --- natural hierarchical microstructures --- wood --- bio-composite --- linear low density polyethylene --- performance --- straws --- biocomposites --- nanofibers --- electrospinning --- cell culture --- graphene oxide --- barrier properties --- poly(lactic acid) --- clay --- nanocomposite --- permeability --- bacterial cellulose --- metal organic framework --- adsorption --- chitosan --- composite nanofibers --- silk fibroin --- polycaprolactone --- Taguchi --- rheological properties --- DMA --- injection molding --- thermal properties --- natural fibers --- biochar --- carbon fillers --- nanocomposites --- flame retardants --- fire --- PHB --- natural fiber --- compatibilizer --- cellulose --- biocomposite
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Amidst impending climate change and enhanced pollution levels around the globe, the need of the hour is to develop bio-based materials that are sustainable and possess comparable performance properties to their synthetic counterparts. In light of the aforementioned, numerous investigations are being conducted to identify, process, and create materials that are concurrently innocuous towards the environment and have superior properties. This book is a collection of such scientific articles that propagate novel ideas for the development of polymeric composite materials, which have application potential in numerous fields such as medicine, automobile, aviation, construction, etc. It also contains a pedagogical article that proposes some strategies to continue experimental research during pandemics. This book will provide readers a quick glance into recent developments regarding polymeric materials and will encourage them to propagate these research ideas further.
History of engineering & technology --- solid urban waste --- formaldehyde --- durability --- electrical properties --- mechanical properties --- recycling --- epoxy resin --- flammability --- heat release rate --- microscale combustion calorimetry --- multiple linear regression --- adaptive neuro-fuzzy inference system --- polyvinyl alcohol (PVA) --- bionanocomposites --- nanomechanical behaviour --- thin films --- particle size --- model free --- model fitting --- avrami–eroféev --- DAEM --- superhydrophobic surfaces --- self-healing --- natural hierarchical microstructures --- wood --- bio-composite --- linear low density polyethylene --- performance --- straws --- biocomposites --- nanofibers --- electrospinning --- cell culture --- graphene oxide --- barrier properties --- poly(lactic acid) --- clay --- nanocomposite --- permeability --- bacterial cellulose --- metal organic framework --- adsorption --- chitosan --- composite nanofibers --- silk fibroin --- polycaprolactone --- Taguchi --- rheological properties --- DMA --- injection molding --- thermal properties --- natural fibers --- biochar --- carbon fillers --- nanocomposites --- flame retardants --- fire --- n/a --- PHB --- natural fiber --- compatibilizer --- cellulose --- biocomposite --- avrami-eroféev
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Amidst impending climate change and enhanced pollution levels around the globe, the need of the hour is to develop bio-based materials that are sustainable and possess comparable performance properties to their synthetic counterparts. In light of the aforementioned, numerous investigations are being conducted to identify, process, and create materials that are concurrently innocuous towards the environment and have superior properties. This book is a collection of such scientific articles that propagate novel ideas for the development of polymeric composite materials, which have application potential in numerous fields such as medicine, automobile, aviation, construction, etc. It also contains a pedagogical article that proposes some strategies to continue experimental research during pandemics. This book will provide readers a quick glance into recent developments regarding polymeric materials and will encourage them to propagate these research ideas further.
solid urban waste --- formaldehyde --- durability --- electrical properties --- mechanical properties --- recycling --- epoxy resin --- flammability --- heat release rate --- microscale combustion calorimetry --- multiple linear regression --- adaptive neuro-fuzzy inference system --- polyvinyl alcohol (PVA) --- bionanocomposites --- nanomechanical behaviour --- thin films --- particle size --- model free --- model fitting --- avrami–eroféev --- DAEM --- superhydrophobic surfaces --- self-healing --- natural hierarchical microstructures --- wood --- bio-composite --- linear low density polyethylene --- performance --- straws --- biocomposites --- nanofibers --- electrospinning --- cell culture --- graphene oxide --- barrier properties --- poly(lactic acid) --- clay --- nanocomposite --- permeability --- bacterial cellulose --- metal organic framework --- adsorption --- chitosan --- composite nanofibers --- silk fibroin --- polycaprolactone --- Taguchi --- rheological properties --- DMA --- injection molding --- thermal properties --- natural fibers --- biochar --- carbon fillers --- nanocomposites --- flame retardants --- fire --- n/a --- PHB --- natural fiber --- compatibilizer --- cellulose --- biocomposite --- avrami-eroféev
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This book focuses on the intelligent processing of images and optical information acquired by various imaging methods. Intelligent image and optical information processing have paved the way for the recent epoch of new intelligence and information era. Certainly, information acquired by various imaging techniques is of tremendous value; thus, an intelligent analysis of them is necessary to make the best use of it. A broad range of research fields is included in this book. Many studies focus on object classification and detection. Registration, segmentation, and fusion are performed between a series of images. Many valuable and up-to-most recent technologies are provided to solve the real problems in selected papers.
History of engineering & technology --- change detection --- NSCT --- variogram function --- structure similarity --- Dongting Lake --- ego-motion estimation --- hand-eye calibration --- IMU --- lidar odometry --- sensor fusion --- texture classification --- Gabor filter --- parameter optimization --- feature selection --- hybrid ant lion optimizer --- wireless multimedia sensor networks --- wildlife monitoring image --- extraction --- Hermite --- adaptive mean-shift --- biomedical imaging --- bone fracture --- calcaneus --- CT image --- segmentation --- zebrafish egg --- microscopy image processing --- convolutional neural network --- digital image correlation --- high-temperature measurement --- heat waves --- thermal disturbance --- background-oriented schlieren --- fermentation monitoring --- quality inspection --- process automation --- deep learning --- superellipsoid model fitting --- optical sensor --- multi-sensor --- face registration --- inner-distance --- Student's-t Mixtures Model --- image fusion --- continuous casting slabs --- surface defect classification --- discrete non-separable shearlet transform --- gray-level co-occurrence matrix --- kernel spectral regression --- block compressed sensing --- error resilience --- reconstruction --- image completion --- tensor decomposition models --- image interpolation --- image up-scaling --- numerical optimization --- ADAM --- machine learning --- stochastic gradient methods --- healthy and infected lemons --- Hyperspectral image --- Penicillium digitatum pathogen --- lemon skin --- dominant spectral wavelength --- spectral intensity ratio --- zebrafish larva --- microscopy image analysis --- deep neural network --- clustering evaluation --- clustering algorithm --- cluster validity index --- boundary point --- interior point --- radiographic image --- image processing --- feature extraction --- classifier --- defect detection --- generative models --- GAN (Generative adversarial networks) --- facial image --- generation --- database augmentation --- synthesis --- autofocus --- night vision goggles --- sparse and low-rank matrix decomposition --- change detection --- NSCT --- variogram function --- structure similarity --- Dongting Lake --- ego-motion estimation --- hand-eye calibration --- IMU --- lidar odometry --- sensor fusion --- texture classification --- Gabor filter --- parameter optimization --- feature selection --- hybrid ant lion optimizer --- wireless multimedia sensor networks --- wildlife monitoring image --- extraction --- Hermite --- adaptive mean-shift --- biomedical imaging --- bone fracture --- calcaneus --- CT image --- segmentation --- zebrafish egg --- microscopy image processing --- convolutional neural network --- digital image correlation --- high-temperature measurement --- heat waves --- thermal disturbance --- background-oriented schlieren --- fermentation monitoring --- quality inspection --- process automation --- deep learning --- superellipsoid model fitting --- optical sensor --- multi-sensor --- face registration --- inner-distance --- Student's-t Mixtures Model --- image fusion --- continuous casting slabs --- surface defect classification --- discrete non-separable shearlet transform --- gray-level co-occurrence matrix --- kernel spectral regression --- block compressed sensing --- error resilience --- reconstruction --- image completion --- tensor decomposition models --- image interpolation --- image up-scaling --- numerical optimization --- ADAM --- machine learning --- stochastic gradient methods --- healthy and infected lemons --- Hyperspectral image --- Penicillium digitatum pathogen --- lemon skin --- dominant spectral wavelength --- spectral intensity ratio --- zebrafish larva --- microscopy image analysis --- deep neural network --- clustering evaluation --- clustering algorithm --- cluster validity index --- boundary point --- interior point --- radiographic image --- image processing --- feature extraction --- classifier --- defect detection --- generative models --- GAN (Generative adversarial networks) --- facial image --- generation --- database augmentation --- synthesis --- autofocus --- night vision goggles --- sparse and low-rank matrix decomposition
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This book deals with metal processing and its numerical modelling and simulation. In total, 21 papers from different distinguished authors have been compiled in this area. Various processes are addressed, including solidification, TIG welding, additive manufacturing, hot and cold rolling, deep drawing, pipe deformation, and galvanizing. Material models are developed at different length scales from atomistic simulation to finite element analysis in order to describe the evolution and behavior of materials during thermal and thermomechanical treatment. Materials under consideration are carbon, Q&T, DP, and stainless steels; ductile iron; and aluminum, nickel-based, and titanium alloys. The developed models and simulations shall help to predict structure evolution, damage, and service behavior of advanced materials.
Technology: general issues --- all-position automatic tungsten inert gas (TIG) welding --- optimal welding parameters --- response surface method (RSM) --- lap joint --- weld bead geometry --- tin alloy --- modified embedded-atom method --- molecular dynamics simulation --- phase transformation --- diffusion --- numerical simulation --- cellular automaton --- dendritic grain growth --- quantitative prediction --- plasticity forming --- cold roll-beating forming --- process parameter --- multi-objective optimization --- undermatched --- integrity identification --- XFEM --- fracture toughness calculation method --- microstructure --- tensile properties --- intermetallics --- casting --- dual phase steel --- hot dip galvanizing line --- multivariate analysis --- dilatometry --- selective laser melting --- additive manufacturing --- SLM --- FEM --- Al2O3 --- reinforced --- Al2O3-ZrO2 --- 304 --- stainless --- composite --- aluminium alloy --- EN AW-6060 --- precipitation hardening aluminium alloys --- material model --- heating --- cooling --- flow cures --- LS-DYNA --- molecular dynamics --- nano-cutting --- crystal direction --- γ-TiAl alloy --- stacking fault --- flow stress --- hot deformation --- carbon steel --- continuous cooling --- phase transformations --- rupture disc --- finite element analysis --- burst fracture --- mechanical property --- austenitic stainless steel --- stress triaxiality --- material damage --- FEM simulation --- ultrasonic drawing --- titanium wire --- drawing force --- Mises stress --- contact stress --- work hardening --- deep drawing --- limiting drawing ratio (LDR) --- draw radius --- anisotropy --- finite element method --- stainless steels --- plastic deformation --- mechanical properties --- quarter buckle --- roll stack deflection --- strip material flow --- roll contour optimisation --- hot-rolled stainless steel --- model fitting --- optimization --- metal casting --- SGI --- compass search --- NEWUOA --- genetic algorithm --- particle swarm optimization --- additive manufacture --- Ti-6Al-4V --- temperature distribution --- distortion --- residual stress --- experimental validation --- cylindrical cup --- earing --- thermal modeling --- volumetric heat source --- computational efficiency --- all-position automatic tungsten inert gas (TIG) welding --- optimal welding parameters --- response surface method (RSM) --- lap joint --- weld bead geometry --- tin alloy --- modified embedded-atom method --- molecular dynamics simulation --- phase transformation --- diffusion --- numerical simulation --- cellular automaton --- dendritic grain growth --- quantitative prediction --- plasticity forming --- cold roll-beating forming --- process parameter --- multi-objective optimization --- undermatched --- integrity identification --- XFEM --- fracture toughness calculation method --- microstructure --- tensile properties --- intermetallics --- casting --- dual phase steel --- hot dip galvanizing line --- multivariate analysis --- dilatometry --- selective laser melting --- additive manufacturing --- SLM --- FEM --- Al2O3 --- reinforced --- Al2O3-ZrO2 --- 304 --- stainless --- composite --- aluminium alloy --- EN AW-6060 --- precipitation hardening aluminium alloys --- material model --- heating --- cooling --- flow cures --- LS-DYNA --- molecular dynamics --- nano-cutting --- crystal direction --- γ-TiAl alloy --- stacking fault --- flow stress --- hot deformation --- carbon steel --- continuous cooling --- phase transformations --- rupture disc --- finite element analysis --- burst fracture --- mechanical property --- austenitic stainless steel --- stress triaxiality --- material damage --- FEM simulation --- ultrasonic drawing --- titanium wire --- drawing force --- Mises stress --- contact stress --- work hardening --- deep drawing --- limiting drawing ratio (LDR) --- draw radius --- anisotropy --- finite element method --- stainless steels --- plastic deformation --- mechanical properties --- quarter buckle --- roll stack deflection --- strip material flow --- roll contour optimisation --- hot-rolled stainless steel --- model fitting --- optimization --- metal casting --- SGI --- compass search --- NEWUOA --- genetic algorithm --- particle swarm optimization --- additive manufacture --- Ti-6Al-4V --- temperature distribution --- distortion --- residual stress --- experimental validation --- cylindrical cup --- earing --- thermal modeling --- volumetric heat source --- computational efficiency
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Many animals, including humans, acquire valuable skills and knowledge by copying others. Scientists refer to this as social learning. It is one of the most exciting and rapidly developing areas of behavioral research and sits at the interface of many academic disciplines, including biology, experimental psychology, economics, and cognitive neuroscience. Social Learning provides a comprehensive, practical guide to the research methods of this important emerging field. William Hoppitt and Kevin Laland define the mechanisms thought to underlie social learning and demonstrate how to distinguish them experimentally in the laboratory. They present techniques for detecting and quantifying social learning in nature, including statistical modeling of the spatial distribution of behavior traits. They also describe the latest theory and empirical findings on social learning strategies, and introduce readers to mathematical methods and models used in the study of cultural evolution. This book is an indispensable tool for researchers and an essential primer for students. Provides a comprehensive, practical guide to social learning research Combines theoretical and empirical approaches Describes techniques for the laboratory and the field Covers social learning mechanisms and strategies, statistical modeling techniques for field data, mathematical modeling of cultural evolution, and more
Learning in animals --- Social learning --- Psychology, Comparative --- Research --- Methodology. --- Animal learning --- Animal intelligence --- Learning --- Socialization --- Behavior, Comparative --- Comparative behavior --- Comparative psychology --- Ethology, Comparative --- Intelligence of animals --- Zoology --- Animal behavior --- Animal psychology --- Human behavior --- Instinct --- Aristotle. --- acquisition. --- animal culture. --- animals. --- asocial learning. --- behavior. --- behavioral repertoires. --- behavioral research. --- behavioral trait. --- biological evolution. --- causal modeling. --- child development. --- children. --- controlled diffusion. --- cultural evolution. --- cultural transmission. --- decision making. --- developmental methods. --- diffusion curve analysis. --- diffusion data. --- diffusion experiments. --- diffusion of innovation. --- diffusion. --- ecological hypothesis. --- experimental manipulations. --- fear. --- frequency-dependent biases. --- gene-culture coevolution. --- genetic hypothesis. --- group contrasts approach. --- hierarchical control. --- imitation. --- inadvertent coaching. --- innovation. --- laboratory experiments. --- learning heuristics. --- mathematical methods. --- meta-strategies. --- model-fitting approach. --- modeling. --- network-based diffusion analysis. --- neural circuitry. --- neuroendocrinological studies. --- neutral models. --- observational conditioning. --- observational data. --- observational learning. --- opportunity providing. --- option choice. --- random copying. --- reaction-diffusion models. --- research methods. --- response facilitation. --- social experience. --- social facilitation. --- social foraging theory. --- social learning mechanisms. --- social learning research. --- social learning strategies. --- social learning. --- social network. --- social transmission. --- statistical methods. --- statistical modeling. --- stimulus enhancement. --- success biases. --- translocation experiments. --- transmission chains.
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This book focuses on the intelligent processing of images and optical information acquired by various imaging methods. Intelligent image and optical information processing have paved the way for the recent epoch of new intelligence and information era. Certainly, information acquired by various imaging techniques is of tremendous value; thus, an intelligent analysis of them is necessary to make the best use of it. A broad range of research fields is included in this book. Many studies focus on object classification and detection. Registration, segmentation, and fusion are performed between a series of images. Many valuable and up-to-most recent technologies are provided to solve the real problems in selected papers.
History of engineering & technology --- change detection --- NSCT --- variogram function --- structure similarity --- Dongting Lake --- ego-motion estimation --- hand-eye calibration --- IMU --- lidar odometry --- sensor fusion --- texture classification --- Gabor filter --- parameter optimization --- feature selection --- hybrid ant lion optimizer --- wireless multimedia sensor networks --- wildlife monitoring image --- extraction --- Hermite --- adaptive mean-shift --- biomedical imaging --- bone fracture --- calcaneus --- CT image --- segmentation --- zebrafish egg --- microscopy image processing --- convolutional neural network --- digital image correlation --- high-temperature measurement --- heat waves --- thermal disturbance --- background-oriented schlieren --- fermentation monitoring --- quality inspection --- process automation --- deep learning --- superellipsoid model fitting --- optical sensor --- multi-sensor --- face registration --- inner-distance --- Student’s-t Mixtures Model --- image fusion --- continuous casting slabs --- surface defect classification --- discrete non-separable shearlet transform --- gray-level co-occurrence matrix --- kernel spectral regression --- block compressed sensing --- error resilience --- reconstruction --- image completion --- tensor decomposition models --- image interpolation --- image up-scaling --- numerical optimization --- ADAM --- machine learning --- stochastic gradient methods --- healthy and infected lemons --- Hyperspectral image --- Penicillium digitatum pathogen --- lemon skin --- dominant spectral wavelength --- spectral intensity ratio --- zebrafish larva --- microscopy image analysis --- deep neural network --- clustering evaluation --- clustering algorithm --- cluster validity index --- boundary point --- interior point --- radiographic image --- image processing --- feature extraction --- classifier --- defect detection --- generative models --- GAN (Generative adversarial networks) --- facial image --- generation --- database augmentation --- synthesis --- autofocus --- night vision goggles --- sparse and low-rank matrix decomposition --- n/a --- Student's-t Mixtures Model
Choose an application
This book deals with metal processing and its numerical modelling and simulation. In total, 21 papers from different distinguished authors have been compiled in this area. Various processes are addressed, including solidification, TIG welding, additive manufacturing, hot and cold rolling, deep drawing, pipe deformation, and galvanizing. Material models are developed at different length scales from atomistic simulation to finite element analysis in order to describe the evolution and behavior of materials during thermal and thermomechanical treatment. Materials under consideration are carbon, Q&T, DP, and stainless steels; ductile iron; and aluminum, nickel-based, and titanium alloys. The developed models and simulations shall help to predict structure evolution, damage, and service behavior of advanced materials.
Technology: general issues --- all-position automatic tungsten inert gas (TIG) welding --- optimal welding parameters --- response surface method (RSM) --- lap joint --- weld bead geometry --- tin alloy --- modified embedded-atom method --- molecular dynamics simulation --- phase transformation --- diffusion --- numerical simulation --- cellular automaton --- dendritic grain growth --- quantitative prediction --- plasticity forming --- cold roll-beating forming --- process parameter --- multi-objective optimization --- undermatched --- integrity identification --- XFEM --- fracture toughness calculation method --- microstructure --- tensile properties --- intermetallics --- casting --- dual phase steel --- hot dip galvanizing line --- multivariate analysis --- dilatometry --- selective laser melting --- additive manufacturing --- SLM --- FEM --- Al2O3 --- reinforced --- Al2O3-ZrO2 --- 304 --- stainless --- composite --- aluminium alloy --- EN AW-6060 --- precipitation hardening aluminium alloys --- material model --- heating --- cooling --- flow cures --- LS-DYNA --- molecular dynamics --- nano-cutting --- crystal direction --- γ-TiAl alloy --- stacking fault --- flow stress --- hot deformation --- carbon steel --- continuous cooling --- phase transformations --- rupture disc --- finite element analysis --- burst fracture --- mechanical property --- austenitic stainless steel --- stress triaxiality --- material damage --- FEM simulation --- ultrasonic drawing --- titanium wire --- drawing force --- Mises stress --- contact stress --- work hardening --- deep drawing --- limiting drawing ratio (LDR) --- draw radius --- anisotropy --- finite element method --- stainless steels --- plastic deformation --- mechanical properties --- quarter buckle --- roll stack deflection --- strip material flow --- roll contour optimisation --- hot-rolled stainless steel --- model fitting --- optimization --- metal casting --- SGI --- compass search --- NEWUOA --- genetic algorithm --- particle swarm optimization --- additive manufacture --- Ti-6Al-4V --- temperature distribution --- distortion --- residual stress --- experimental validation --- cylindrical cup --- earing --- thermal modeling --- volumetric heat source --- computational efficiency
Choose an application
This book deals with metal processing and its numerical modelling and simulation. In total, 21 papers from different distinguished authors have been compiled in this area. Various processes are addressed, including solidification, TIG welding, additive manufacturing, hot and cold rolling, deep drawing, pipe deformation, and galvanizing. Material models are developed at different length scales from atomistic simulation to finite element analysis in order to describe the evolution and behavior of materials during thermal and thermomechanical treatment. Materials under consideration are carbon, Q&T, DP, and stainless steels; ductile iron; and aluminum, nickel-based, and titanium alloys. The developed models and simulations shall help to predict structure evolution, damage, and service behavior of advanced materials.
all-position automatic tungsten inert gas (TIG) welding --- optimal welding parameters --- response surface method (RSM) --- lap joint --- weld bead geometry --- tin alloy --- modified embedded-atom method --- molecular dynamics simulation --- phase transformation --- diffusion --- numerical simulation --- cellular automaton --- dendritic grain growth --- quantitative prediction --- plasticity forming --- cold roll-beating forming --- process parameter --- multi-objective optimization --- undermatched --- integrity identification --- XFEM --- fracture toughness calculation method --- microstructure --- tensile properties --- intermetallics --- casting --- dual phase steel --- hot dip galvanizing line --- multivariate analysis --- dilatometry --- selective laser melting --- additive manufacturing --- SLM --- FEM --- Al2O3 --- reinforced --- Al2O3-ZrO2 --- 304 --- stainless --- composite --- aluminium alloy --- EN AW-6060 --- precipitation hardening aluminium alloys --- material model --- heating --- cooling --- flow cures --- LS-DYNA --- molecular dynamics --- nano-cutting --- crystal direction --- γ-TiAl alloy --- stacking fault --- flow stress --- hot deformation --- carbon steel --- continuous cooling --- phase transformations --- rupture disc --- finite element analysis --- burst fracture --- mechanical property --- austenitic stainless steel --- stress triaxiality --- material damage --- FEM simulation --- ultrasonic drawing --- titanium wire --- drawing force --- Mises stress --- contact stress --- work hardening --- deep drawing --- limiting drawing ratio (LDR) --- draw radius --- anisotropy --- finite element method --- stainless steels --- plastic deformation --- mechanical properties --- quarter buckle --- roll stack deflection --- strip material flow --- roll contour optimisation --- hot-rolled stainless steel --- model fitting --- optimization --- metal casting --- SGI --- compass search --- NEWUOA --- genetic algorithm --- particle swarm optimization --- additive manufacture --- Ti-6Al-4V --- temperature distribution --- distortion --- residual stress --- experimental validation --- cylindrical cup --- earing --- thermal modeling --- volumetric heat source --- computational efficiency
Choose an application
This book focuses on the intelligent processing of images and optical information acquired by various imaging methods. Intelligent image and optical information processing have paved the way for the recent epoch of new intelligence and information era. Certainly, information acquired by various imaging techniques is of tremendous value; thus, an intelligent analysis of them is necessary to make the best use of it. A broad range of research fields is included in this book. Many studies focus on object classification and detection. Registration, segmentation, and fusion are performed between a series of images. Many valuable and up-to-most recent technologies are provided to solve the real problems in selected papers.
change detection --- NSCT --- variogram function --- structure similarity --- Dongting Lake --- ego-motion estimation --- hand-eye calibration --- IMU --- lidar odometry --- sensor fusion --- texture classification --- Gabor filter --- parameter optimization --- feature selection --- hybrid ant lion optimizer --- wireless multimedia sensor networks --- wildlife monitoring image --- extraction --- Hermite --- adaptive mean-shift --- biomedical imaging --- bone fracture --- calcaneus --- CT image --- segmentation --- zebrafish egg --- microscopy image processing --- convolutional neural network --- digital image correlation --- high-temperature measurement --- heat waves --- thermal disturbance --- background-oriented schlieren --- fermentation monitoring --- quality inspection --- process automation --- deep learning --- superellipsoid model fitting --- optical sensor --- multi-sensor --- face registration --- inner-distance --- Student’s-t Mixtures Model --- image fusion --- continuous casting slabs --- surface defect classification --- discrete non-separable shearlet transform --- gray-level co-occurrence matrix --- kernel spectral regression --- block compressed sensing --- error resilience --- reconstruction --- image completion --- tensor decomposition models --- image interpolation --- image up-scaling --- numerical optimization --- ADAM --- machine learning --- stochastic gradient methods --- healthy and infected lemons --- Hyperspectral image --- Penicillium digitatum pathogen --- lemon skin --- dominant spectral wavelength --- spectral intensity ratio --- zebrafish larva --- microscopy image analysis --- deep neural network --- clustering evaluation --- clustering algorithm --- cluster validity index --- boundary point --- interior point --- radiographic image --- image processing --- feature extraction --- classifier --- defect detection --- generative models --- GAN (Generative adversarial networks) --- facial image --- generation --- database augmentation --- synthesis --- autofocus --- night vision goggles --- sparse and low-rank matrix decomposition --- n/a --- Student's-t Mixtures Model
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