Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Computer Vision – ECCV 2022
The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
I'll Add Points To All Things Ⅱ 501-945 Chapter
Su Yang was an average university student in Shanghai when he received a system that allowed him to add points to things. The point system provided him with missions and by clearing them, he would gain points. Add a point into an object, the object will receive a special ability; add a point into a plant, the plant will come alive; add points on himself, he will get talents or superpowers. With the mysterious point system in hand, Su Yang aimed to become rich and alter his fate. On his path towards success, he encountered many interesting matters and people, including famous actresses and business tyc.o.o.ns. Fueled by determination, Su Yang set his sight on adding points into all things to help him achieve his goal.
Thermodynamic Mechanism of MQL Grinding with Nano Bio-lubricant
This book discusses the thermodynamic mechanism of MQL grinding with nano-biological lubricant from the force, heat, surface integrity, and micro-morphology. It makes up the fatal defect of the lack of heat transfer capability of traditional MQL grinding. The machining accuracy, surface quality, especially surface integrity of the workpiece, are significantly improved; at the same time, the service life of the grinding wheel is increased and the working environment is improved. The general scope of the book’s content is the effects of MQL grinding with nano-bio-lubricant on grinding force, thermal mechanism, and surface. It provides a new method of sustainable green grinding for environment-friendly, resource-saving, and energy-efficient utilization and solves the technical bottleneck of the insufficient capacity in MQL heat transfer.
Statistical Foundations of Data Science
Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research monograph on high-dimensional statistics, sparsity and covariance learning, machine learning, and statistical inference. It includes ample exercises that involve both theoretical studies as well as empirical applications. The book begins with an introduction to the stylized features of big data and their impacts on statistical analysis. It then introduces multiple linear regression and expands t...
Design and Modeling for Computer Experiments
Computer simulations based on mathematical models have become ubiquitous across the engineering disciplines and throughout the physical sciences. Successful use of a simulation model, however, requires careful interrogation of the model through systematic computer experiments. While specific theoretical/mathematical examinations of computer experim
Contemporary Multivariate Analysis And Design Of Experiments: In Celebration Of Prof Kai-tai Fang's 65th Birthday
This book furthers new and exciting developments in experimental designs, multivariate analysis, biostatistics, model selection and related subjects. It features articles contributed by many prominent and active figures in their fields. These articles cover a wide array of important issues in modern statistical theory, methods and their applications. Distinctive features of the collections of articles are their coherence and advance in knowledge discoveries.
