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Machine learning (ML) technologies are emerging in Mechanical Engineering, driven by the increasing availability of datasets, coupled with the exponential growth in computer performance. In fact, there has been a growing interest in evaluating the capabilities of ML algorithms to approach topics related to metal forming processes, such as: Classification, detection and prediction of forming defects; Material parameters identification; Material modelling; Process classification and selection; Process design and optimization. The purpose of this Special Issue is to disseminate state-of-the-art ML applications in metal forming processes, covering 10 papers about the abovementioned and related topics.

Technology: general issues --- History of engineering & technology --- Mining technology & engineering --- sheet metal forming --- uncertainty analysis --- metamodeling --- machine learning --- hot rolling strip --- edge defects --- intelligent recognition --- convolutional neural networks --- deep-drawing --- kriging metamodeling --- multi-objective optimization --- FE (Finite Element) AutoForm robust analysis --- defect prediction --- mechanical properties prediction --- high-dimensional data --- feature selection --- maximum information coefficient --- complex network clustering --- ring rolling --- process energy estimation --- metal forming --- thermo-mechanical FEM analysis --- artificial neural network --- aluminum alloy --- mechanical property --- UTS --- topological optimization --- artificial neural networks (ANN) --- machine learning (ML) --- press-brake bending --- air-bending --- three-point bending test --- sheet metal --- buckling instability --- oil canning --- artificial intelligence --- convolution neural network --- hot rolled strip steel --- defect classification --- generative adversarial network --- attention mechanism --- deep learning --- mechanical constitutive model --- finite element analysis --- plasticity --- parameter identification --- full-field measurements --- n/a

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The present book contains all the articles accepted and published in the Special Issue “Advances in Artificial Intelligence: Models, Optimization, and Machine Learning” of the MDPI Mathematics journal, which covers a wide range of topics connected to the theory and applications of artificial intelligence and its subfields. These topics include, among others, deep learning and classic machine learning algorithms, neural modelling, architectures and learning algorithms, biologically inspired optimization algorithms, algorithms for autonomous driving, probabilistic models and Bayesian reasoning, intelligent agents and multiagent systems. We hope that the scientific results presented in this book will serve as valuable sources of documentation and inspiration for anyone willing to pursue research in artificial intelligence, machine learning and their widespread applications.

large margin nearest neighbor regression --- distance metrics --- prototypes --- evolutionary algorithm --- approximate differential optimization --- multiple point hill climbing --- adaptive sampling --- free radical polymerization --- autonomous driving --- object tracking --- trajectory prediction --- deep neural networks --- stochastic methods --- applied machine learning --- classification and regression --- data mining --- ensemble model --- engineering informatics --- gender-based violence in Mexico --- twitter messages --- class imbalance --- k-nearest neighbor --- instance-based learning --- graph neural network --- deep learning --- hyperparameters --- machine learning --- optimization --- inference --- metaheuristics --- animal-inspired --- exploration --- exploitation --- hot rolled strip steel --- surface defects --- defect classification --- knockout tournament --- dynamic programming algorithm --- computational complexity --- combinatorics --- intelligent transport systems --- traffic control --- spatial-temporal variable speed limit --- multi-agent systems --- reinforcement learning --- distributed W-learning --- urban motorways --- multi-agent framework --- .NET framework --- simulations --- agent-based systems --- agent algorithms --- software design --- multisensory fingerprint --- interoperability --- DeepFKTNet --- classification --- generative adversarial networks --- image classification --- transfer learning --- plastic bottle --- n/a

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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

Choose an application

• Reference Manager
• EndNote
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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.

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