الصفحة 34
الصفحة 34
Advanced Numerical Methods to Optimize Cutting Operations of Five-Axis Milling Machines
Presents new optimization algorithms designed to improve the efficiency of tool paths for five-axis NC machining of sculptured surfaces. The book introduces the reader to fundamental issues involved in the tool path planning such as the kinematics of five-axis machines, types of 5 axis machines, part surface representation, machining strips, optimal tool orientation, gouging avoidance and forward step error. It also introduces new methods of optimization based on research conducted by the authors, including schemes performed in the spatial domain, angular domain as well as procedures to optimize the initial setup. The book can be used by undergraduate and graduate students and researchers in the field of NC machining and CAD/CAM as well as by the corporate research groups for advanced optimization of cutting operations.
Advanced Materials and Structures for Extreme Operating Conditions
The present monograph deals with new advanced materials, including composites, functionally graded materials, materials for high temperature service, advanced approaches to local and non-local analysis of localized damage, new description of crack deactivation, and many more.
Advanced Linear Algebra
For the third edition, the author has added a new chapter on associative algebras that includes the well known characterizations of the finite-dimensional division algebras over the real field (a theorem of Frobenius) and over a finite field (Wedderburn's theorem); polished and refined some arguments (such as the discussion of reflexivity, the rational canonical form, best approximations and the definitions of tensor products); upgraded some proofs that were originally done only for finite-dimensional/rank cases; added new theorems, including the spectral mapping theorem; considerably expanded the reference section with over a hundred references to books on linear algebra.
Advanced Decision Sciences Based on Deep Learning and Ensemble Learning Algorithms : A Practical Approach Using Python
Describes the deep learning models and ensemble approaches applied to decision-making problems. The authors have addressed the concepts of deep learning, convolutional neural networks, recurrent neural networks, and ensemble learning in a practical sense providing complete code and implementation for several real-world examples. The authors of this book teach the concepts of machine learning for undergraduate and graduate-level classes and have worked with Fortune 500 clients to formulate data analytics strategies and operationalise these strategies.
Advanced Data Warehouse Design : From Conventional to Spatial and Temporal Applications
This book serves as an introduction to the state of the art on data warehouse design, with many references to more detailed sources. Providing a clear and a concise presentation of the major concepts and results of data warehouse design, it can also be used as the basis of a graduate or advanced undergraduate course.
Adobe Illustrator Classroom in a Book
Adobe Illustrator Classroom in a Book (2023 release) uses real-world, project-based learning to cover the basics and beyond, providing countless tips and techniques to help you become more productive with the program. For beginners and experienced users alike, you can follow the book from start to finish or choose only those lessons that interest you. Learn to create artwork, from precise drawings to stylistic paintings. Make logos, illustrations, posters, podcast covers, flyers, and more. Explore selections, shapes, and color, progress to freeform gradients and layers. Work with dynamic symbols, artistic brushes, and creative effects.
Actin-Binding Proteins and Disease
This volume, written by experts in the field, is the first to deal with the relationship between human disease and the actin cytoskeleton. It provides overviews of actin and selected actin-binding proteins, and then focuses on diseases that involve these proteins. Specific chapters deal with actin, cofilin, profilin, gelsolin and thymosin ¾4. Other chapters discuss the roles of multiple actin-binding proteins in cancer and metastasis, leukocyte disorders, and heart failure, and there is a chapter that describes how intracellular pathogens use the host actin cytoskeleton. This seminal volume is intended for researchers, clinicians, physicians, and graduate students in the fields of biochemistry, cell biology, microbiology, immunology, and genetics.
Abstract Computing Machines : A Lambda Calculus Perspective
The book addresses ways and means of organizing computations, highlighting the relationship between algorithms and the basic mechanisms and runtime structures necessary to execute them using machines. It completely abstracts from concrete programming languages and machine architectures, taking instead the lambda calculus as the basic programming and program execution model to design various abstract machines for its correct implementation. The emphasis is on fully normalizing machines based on full-fledged beta-reductions as essential prerequisites for symbolic computations that treat functions and variables truly as first-class objects. Their weakly normalizing counterparts are shown to be functional abstract machines that sacrifice the flavors of full beta-reductions for decidedly simpler runtime structures and improved runtime efficiency. Further downgrading of the lambda calculus leads to classical imperative machines that permit side-effecting operations on the runtime environment.
A theoretical and clinical study about multiple sclerosis
Multiple sclerosis is a one of those diseases such as Alzheimer in which no cure excites yet, any type of degradation in the neurological system is hard to restore, and more difficult in such a disease that it has a wide range of symptoms from the eye injury till some difficulty in walking to many other symptoms in which we will highlight in our project to increase public health awareness to consider such a relatively unknown disease in differential diagnosis...
A software process model handbook for incorporating peoples capabilities
Offers the most advanced approach to date, empirically validated at software development organizations. This handbook adds a valuable contribution to the much-needed literature on people-related aspects in software engineering. The primary focus is on the particular challenge of extending software process definitions to more explicitly address people-related considerations. The capability concept is not present nor has it been considered in most software process models. The authors have developed a capabilities-oriented software process model, which has been formalized in UML and implemented as a tool. A Software Process Model Handbook for Incorporating People's Capabilities guides readers through the incorporation of the individual’s capabilities into the software process. Structured to meet the needs of research scientists and graduate-level students in computer science and engineering, A Software Process Model Handbook for Incorporating People's Capabilities is also suitable for practitioners in industry.
A rose armed with thorns : Spinoza’s Philosophy under a novel lens
Presents a systemic analysis of Spinoza’s philosophy and challenges the traditional views. It deals with Spinoza’s concepts of substance, truth conditions, attributes, and the first, second, and supreme grades of knowledge. Based upon an analysis of the relevant details in all of Spinoza’s philosophical works, reveals many important points, including the following: Spinoza’s system is not, nor is meant to be, a foundational-deductive system but was meant to be a coherent system of a network model. Spinoza’s reality is not made in the image of a mathematical model. Imaginatio, the first grade of knowledge, and ratio, the second grade, are parts or properties of the supreme grade of knowledge, scientia intuitiva, which is their essence.
A Matrix Algebra Approach to Artificial Intelligence
The book consists of two parts: the first discusses the fundamentals of matrix algebra in detail, while the second focuses on the applications of matrix algebra approaches in AI. Highlighting matrix algebra in graph-based learning and embedding, network embedding, convolutional neural networks and Pareto optimization theory, and discussing recent topics and advances, the book offers a valuable resource for scientists, engineers, and graduate students in various disciplines
A Geometric Approach to Differential Forms
The modern subject of differential forms subsumes classical vector calculus. This text presents differential forms from a geometric perspective accessible at the undergraduate level. The book begins with basic concepts such as partial differentiation and multiple integration and gently develops the entire machinery of differential forms. Each new concept is presented with a natural picture that students can easily grasp. Algebraic properties then follow. This facilitates the development of differential forms without assuming a background in linear algebra. Throughout the text, emphasis is placed on applications in 3 dimensions, but all definitions are given so as to be easily generalized to higher dimensions. A centerpiece of the text is the generalized Stokes' theorem. Although this theorem implies all of the classical integral theorems of vector calculus, it is far easier for students to both comprehend and remember.
A First Course in Statistical Inference
Offers a modern and accessible introduction to Statistical Inference, the science of inferring key information from data. Aimed at beginning undergraduate students in mathematics, it presents the concepts underpinning frequentist statistical theory. Written in a conversational and informal style, this concise text concentrates on ideas and concepts, with key theorems stated and proved. Detailed worked examples are included and each chapter ends with a set of exercises, with full solutions given at the back of the book. Examples using R are provided throughout the book, with a brief guide to the software included. Topics covered in the book include: sampling distributions, properties of estimators, confidence intervals, hypothesis testing, ANOVA, and fitting a straight line to paired data.
A First Course in Modular Forms
This book introduces the theory of modular forms with an eye toward the Modularity Theorem: All rational elliptic curves arise from modular forms. The topics covered include: • elliptic curves as complex tori and as algebraic curves, • modular curves as Riemann surfaces and as algebraic curves, • Hecke operators and Atkin–Lehner theory, • Hecke eigenforms and their arithmetic properties, • the Jacobians of modular curves and the Abelian varieties associated to Hecke eigenforms, • elliptic and modular curves modulo p and the Eichler–Shimura Relation, • the Galois representations associated to elliptic curves and to Hecke eigenforms. As it presents these ideas, the book states the Modularity Theorem in various forms, relating them to each other and touching on their applications to number theory.
A Course on Mathematical Logic
This is a short, distinctive, modern, and motivated introduction to mathematical logic for senior undergraduate and beginning graduate students in mathematics and computer science. Any mathematician who is interested in knowing what logic is concerned with and who would like to learn Gödel’s incompleteness theorems should find this book particularly convenient. The treatment is thoroughly mathematical, and the entire subject has been approached like a branch of mathematics. Serious efforts have been made to make the book suitable for the classroom as well as for self-reading. The book does not strive to be a comprehensive encyclopedia of logic. Still, it gives essentially all the basic concepts and results in mathematical logic. The book prepares students to branch out in several areas of mathematics related to foundations and computability such as logic, axiomatic set theory, model theory, recursion theory, and computability.
A Course in Microeconomic Theory
Offers a treatment of microeconomic theory - one that stresses the behavior of the individual actor in various institutional settings. This book begins with an exposition of the standard models of choice and the market. It is designed for the first-year graduate microeconomic theory course and is accessible to advanced undergraduates as well.
A buyers and users guide to astronomical telescopes & binoculars
Provides an extensive overview of astronomical binoculars and telescopes. It includes detailed up-to-date information on sources, selection and use of virtually every major type, brand, and model of such instruments on today’s market. A Buyer’s & User’s Guide to Astronomical Telescopes and Binoculars is written for amateur astronomers and would-be amateur astronomers. Anyone planning to purchase binoculars or telescopes for astronomy – whether as a first instrument or as an upgrade to the next level – will find this book a treasure-trove of information and advice. But that is just the first part of the book. The second part is crammed with hints and tips on using astronomical telescopes or binoculars – in effect, how to get the best possible results from your purchase.
A Benchmark Approach to Quantitative Finance
The general framework is used to provide an understanding of the nature of stochastic volatility. The book is intended for a wide audience that includes quantitative analysts, postgraduate students and practitioners in finance, economics and insurance. It aims to be a self-contained, accessible but mathematically rigorous introduction to quantitative finance for readers that have a reasonable mathematical or quantitative background. Finally, the book should stimulate interest in the benchmark approach by describing some of its power and wide applicability.
3D Segmentation for medical images (OsteoVision) = التقطيع ثلاثي الأبعاد للصور الطبية
With the increasing integration of AI across various sectors, artificial intelligence (AI) is already playing a significant role in the healthcare industry, and its use is expected to grow further. AI systems used in image processing and computer vision algorithms have shown a significant ability to perform many operations such as segmentation, classification, and detection. This project presents the application of computer vision algorithms in the field of medical imaging for diagnostic, therapeutic, and interventional purposes. This thesis explores the use of several computer vision algorithms to address different pathologies, specifically brain tumors (glioma) (see Appendix A) and knee osteoarthritis (OA), as well as tracking the progression of knee osteoarthritis using the Kellgren and Lawrence (KL) grading system, a common method for classifying the severity of OA into five grades. To achieve the desired impact, the project employs various techniques, including 3D segmentation for brain tumors, 2D segmentation for knee joints, and multinomial classification for determining the severity of knee OA injuries. The primary aims of the project are to enhance diagnostic accuracy, assist in creating treatment plans, provide an assistive tool for healthcare providers to make more informed decisions, leverage AI's capabilities to detect abnormalities that might escape the human eye, and streamline workflow. To facilitate these goals, the project incorporates a user-friendly UI, a website, and a Flutter-based mobile application, enabling healthcare providers to efficiently integrate these tools into their practice and improve patient care.
