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Book
Utilisation rationnelle des outils coupants
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Year: 1949 Publisher: Paris : Société de publications mécaniques,

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Book
L'affûtage des outils en acier
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Year: 1956 Publisher: Paris : Compagnie des meules Norton,

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Book
Werkzeugschleifen
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Year: 1949 Publisher: Berlin : Springer-Verlag,

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Book
L'outil de coupe en carbure métallique
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Year: 1956 Publisher: Paris : Dunod,

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Computational methods for inverse problems
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ISBN: 0898715075 9780898715507 0898715504 9780898715071 Year: 2002 Publisher: Philadelphia : Society for Industrial and Applied Mathematics,

Machine Learning and Its Applications : Advanced Lectures
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ISBN: 3540424903 3540446737 9783540424901 Year: 2001 Volume: 2049 Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer,

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In recent years machine learning has made its way from artificial intelligence into areas of administration, commerce, and industry. Data mining is perhaps the most widely known demonstration of this migration, complemented by less publicized applications of machine learning like adaptive systems in industry, financial prediction, medical diagnosis and the construction of user profiles for Web browsers. This book presents the capabilities of machine learning methods and ideas on how these methods could be used to solve real-world problems. The first ten chapters assess the current state of the art of machine learning, from symbolic concept learning and conceptual clustering to case-based reasoning, neural networks, and genetic algorithms. The second part introduces the reader to innovative applications of ML techniques in fields such as data mining, knowledge discovery, human language technology, user modeling, data analysis, discovery science, agent technology, finance, etc.

Keywords

681.3*I2 --- 681.3*I43 --- 681.3*H28 --- 681.3*H28 Database applications --- Database applications --- 681.3*I43 Enhancement: filering geometric correction grayscale manipulation registration sharpening and deblurring smoothing (Image processing) --- Enhancement: filering geometric correction grayscale manipulation registration sharpening and deblurring smoothing (Image processing) --- 681.3*I2 Artificial intelligence. AI --- Artificial intelligence. AI --- Artificial intelligence. Robotics. Simulation. Graphics --- Machine Learning --- Computer science. --- Information technology. --- Business --- Mathematical logic. --- Database management. --- Information storage and retrieval. --- User interfaces (Computer systems). --- Artificial intelligence. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Information Storage and Retrieval. --- Database Management. --- IT in Business. --- User Interfaces and Human Computer Interaction. --- Mathematical Logic and Formal Languages. --- Data processing. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Mathematics --- Algebra, Abstract --- Metamathematics --- Set theory --- Syllogism --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Informatics --- Science --- Machine learning --- 681.3*I43 Enhancement: filering; geometric correction; grayscale manipulation; registration; sharpening and deblurring; smoothing (Image processing) --- Enhancement: filering; geometric correction; grayscale manipulation; registration; sharpening and deblurring; smoothing (Image processing) --- Learning, Machine --- Artificial intelligence --- Machine learning. --- Information storage and retrieva. --- Artificial Intelligence. --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Business—Data processing.


Book
Modern Grinding Technology and Systems
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ISBN: 3038429376 3038429384 Year: 2019 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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This specialist edition features key innovations in the science and engineering of new grinding processes, abrasives, tools, machines, and systems for a range of important industrial applications. Topics written by invited, internationally recognized authors review the advances and present results of research over a range of well-known grinding processes. A significant introductory review chapter explores innovations to achieve high productivity and very high precision in grinding. The reviewed applications range from grinding systems for very large lenses and reflectors, through to medium size grinding machine processes, and down to grinding very small components used in MEMS . Early research chapters explore the influence of grinding wheel topography on surface integrity and wheel wear. A novel chapter on abrasive processes also addresses the finishing of parts produced by additive manufacturing through mass finishing. Materials to be ground range from conventional engineering steels to aerospace materials, ceramics, and composites. The research findings highlight important new results for avoiding material sub-surface damage. The papers compiled in this book include references to many source publications which will be found invaluable for further research, such as new features introduced into control systems to improve process efficiency. The papers also reflect significant improvements and research findings relating to many aspects of grinding processes, including machines, materials, abrasives, wheel preparation, coolants, lubricants, and fluid delivery. Finally, a definitive chapter summarizes the optimal settings for high precision and the achievement of centerless grinding stability.

Noise reduction by wavelet thresholding
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ISBN: 0387952446 1461301459 9780387952444 Year: 2001 Volume: 161 Publisher: Berlin : Springer,

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Wavelet methods have become a widely spread tool in signal and image process­ ing tasks. This book deals with statistical applications, especially wavelet based smoothing. The methods described in this text are examples of non-linear and non­ parametric curve fitting. The book aims to contribute to the field both among statis­ ticians and in the application oriented world (including but not limited to signals and images). Although it also contains extensive analyses of some existing methods, it has no intention whatsoever to be a complete overview of the field: the text would show too much bias towards my own algorithms. I rather present new material and own insights in the questions involved with wavelet based noise reduction. On the other hand, the presented material does cover a whole range of methodologies, and in that sense, the book may serve as an introduction into the domain of wavelet smoothing. Throughout the text, three main properties show up ever again: sparsity, locality and multiresolution. Nearly all wavelet based methods exploit at least one of these properties in some or the other way. These notes present research results of the Belgian Programme on Interuniver­ sity Poles of Attraction, initiated by the Belgian State, Prime Minister's Office for Science, Technology and Culture. The scientific responsibility rests with me. My research was financed by a grant (1995 - 1999) from the Flemish Institute for the Promotion of Scientific and Technological Research in the Industry (IWT).

Keywords

Stochastic processes --- Numerical approximation theory --- Electronics --- Signal processing --- Electronic noise --- Wavelets (Mathematics) --- Active noise and vibration control. --- Traitement du signal --- Bruit électronique --- Ondelettes --- Contrôle actif du bruit et des vibrations --- Digital techniques --- Statistical methods. --- Automatic control. --- Techniques numériques --- Méthodes statistiques --- Commande automatique --- Statistical methods --- Automatic control --- 681.3*I43 --- -Signal processing --- -Wavelets (Mathematics) --- Wavelet analysis --- Harmonic analysis --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Noise, Electronic --- Electric noise --- Enhancement: filering; geometric correction; grayscale manipulation; registration; sharpening and deblurring; smoothing (Image processing) --- -Statistical methods --- Basic Sciences. Statistics --- Statistics (General) --- Active noise and vibration control --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Telecommunications --- Wavelets (Mathematics). --- Statistics (General). --- 681.3*I43 Enhancement: filering; geometric correction; grayscale manipulation; registration; sharpening and deblurring; smoothing (Image processing) --- Bruit électronique --- Contrôle actif du bruit et des vibrations --- Techniques numériques --- Méthodes statistiques --- Active noise and vibration cancellation --- Active noise control --- Active vibration control --- ANVC (Active noise and vibration control) --- Electro-acoustics --- Acoustic impedance --- Digital techniques&delete& --- Applied mathematics. --- Engineering mathematics. --- Vibration. --- Dynamical systems. --- Dynamics. --- Statistics . --- Mathematical and Computational Engineering. --- Vibration, Dynamical Systems, Control. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Statistical analysis --- Statistical data --- Statistical science --- Mathematics --- Econometrics --- Dynamical systems --- Kinetics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Cycles --- Sound --- Engineering --- Engineering analysis --- Mathematical analysis --- Information, Théorie de l' --- Signal processing - Digital techniques - Statistical methods --- Electronic noise - Automatic control --- Theorie du signal


Book
Metal Plasticity and Fatigue at High Temperature
Authors: --- ---
ISBN: 3039287710 3039287702 Year: 2020 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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In several industrial fields (such as automotive, steelmaking, aerospace, and fire protection systems) metals need to withstand a combination of cyclic loadings and high temperatures. In this condition, they usually exhibit an amount—more or less pronounced—of plastic deformation, often accompanied by creep or stress-relaxation phenomena. Plastic deformation under the action of cyclic loadings may cause fatigue cracks to appear, eventually leading to failures after a few cycles. In estimating the material strength under such loading conditions, the high-temperature material behavior needs to be considered against cyclic loading and creep, the experimental strength to isothermal/non-isothermal cyclic loadings and, not least of all, the choice and experimental calibration of numerical material models and the selection of the most comprehensive design approach. This book is a series of recent scientific contributions addressing several topics in the field of experimental characterization and physical-based modeling of material behavior and design methods against high-temperature loadings, with emphasis on the correlation between microstructure and strength. Several material types are considered, from stainless steel, aluminum alloys, Ni-based superalloys, spheroidal graphite iron, and copper alloys. The quality of scientific contributions in this book can assist scholars and scientists with their research in the field of metal plasticity, creep, and low-cycle fatigue.


Book
Advances in Image Processing, Analysis and Recognition Technology
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Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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For many decades, researchers have been trying to make computers’ analysis of images as effective as the system of human vision is. For this purpose, many algorithms and systems have previously been created. The whole process covers various stages, including image processing, representation and recognition. The results of this work can be applied to many computer-assisted areas of everyday life. They improve particular activities and provide handy tools, which are sometimes only for entertainment, but quite often, they significantly increase our safety. In fact, the practical implementation of image processing algorithms is particularly wide. Moreover, the rapid growth of computational complexity and computer efficiency has allowed for the development of more sophisticated and effective algorithms and tools. Although significant progress has been made so far, many issues still remain, resulting in the need for the development of novel approaches.

Keywords

Information technology industries --- Computer science --- CIELab --- component Substitution --- Pan sharpening --- Pléiades VHR Image --- coal --- inertinite macerals --- classification --- multifractal analysis --- support vector machine --- block-based coding --- video coding --- H.265/HEVC --- affine motion compensation --- image registration --- homography matrix --- local homography transformation --- convolutional neural network --- moving direct linear transformation --- super-resolution (SR) --- convolution neural network (CNN) --- Gene Expression Programming (GEP) --- deep learning --- image preclassification --- suspicious behavior detection --- motion --- magnitude --- gradient --- reactivity --- saliency --- haze removal --- dark channel --- atmospheric-light estimation --- coarse-to-fine search strategy --- sparse dictionary --- stable recovery --- frame --- RIP --- local dimming --- retinex theory --- bi-histogram equalization --- contrast ratio --- details preservation --- pansharpening --- image fusion --- image quality --- Satellite Pour l'Observation de la Terre (SPOT) 6 --- spectral consistency --- spatial consistency --- synthesis --- artificial intelligence --- dental application --- images --- detection --- parseval frame --- transform --- sparse representation --- octave convolution --- bilingual scene text reading --- Ethiopic script --- attention --- nasal cytology --- automatic cell segmentation --- rhinology --- image analysis --- feature extraction --- shape context --- plant recognition --- DPCNN --- BOF --- numeral spotting --- historical document analysis --- convolutional neural networks --- deep transfer learning --- handwritten digit recognition --- spectrum correction --- intensity correction --- compressed sensing --- tradeoff process --- IKONOS --- remote sensing --- fine-tuning --- learning rate scheduler --- cyclical learning rates --- label smoothing --- classification accuracy --- neural networks --- salient object detection --- RGB-D --- object detection --- small object --- multi-scale sampling --- balanced sampling --- texture --- structure --- optical --- coke --- iron ore --- sinter --- image processing --- segmentation --- identification --- action recognition --- silhouette sequences --- shape features --- ambient assisted living --- active ageing --- CIELab --- component Substitution --- Pan sharpening --- Pléiades VHR Image --- coal --- inertinite macerals --- classification --- multifractal analysis --- support vector machine --- block-based coding --- video coding --- H.265/HEVC --- affine motion compensation --- image registration --- homography matrix --- local homography transformation --- convolutional neural network --- moving direct linear transformation --- super-resolution (SR) --- convolution neural network (CNN) --- Gene Expression Programming (GEP) --- deep learning --- image preclassification --- suspicious behavior detection --- motion --- magnitude --- gradient --- reactivity --- saliency --- haze removal --- dark channel --- atmospheric-light estimation --- coarse-to-fine search strategy --- sparse dictionary --- stable recovery --- frame --- RIP --- local dimming --- retinex theory --- bi-histogram equalization --- contrast ratio --- details preservation --- pansharpening --- image fusion --- image quality --- Satellite Pour l'Observation de la Terre (SPOT) 6 --- spectral consistency --- spatial consistency --- synthesis --- artificial intelligence --- dental application --- images --- detection --- parseval frame --- transform --- sparse representation --- octave convolution --- bilingual scene text reading --- Ethiopic script --- attention --- nasal cytology --- automatic cell segmentation --- rhinology --- image analysis --- feature extraction --- shape context --- plant recognition --- DPCNN --- BOF --- numeral spotting --- historical document analysis --- convolutional neural networks --- deep transfer learning --- handwritten digit recognition --- spectrum correction --- intensity correction --- compressed sensing --- tradeoff process --- IKONOS --- remote sensing --- fine-tuning --- learning rate scheduler --- cyclical learning rates --- label smoothing --- classification accuracy --- neural networks --- salient object detection --- RGB-D --- object detection --- small object --- multi-scale sampling --- balanced sampling --- texture --- structure --- optical --- coke --- iron ore --- sinter --- image processing --- segmentation --- identification --- action recognition --- silhouette sequences --- shape features --- ambient assisted living --- active ageing

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