الصفحة 1
الصفحة 1
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Object detection with deep learning models : Principles and applications

Discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its applications to computer vision, illustrating them using key topics, including object detection, face analysis, 3D object recognition, and image retrieval / A structured overview of deep learning in object detection / A diversified collection of applications of object detection using deep neural networks / Emphasize agriculture and remote sensing domains / Exclusive discussion on moving object detection

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Nutrition of cancer patient

According to world statistics, nutrition is estimated to contribute to about one-third of preventable cancers, nearly the same amount as the contribution of smoking. It is defined as the processes by which living organisms' intake of food and drink is used by the body for fuel, growth, reproduction, and the overall maintenance of health. Thus, sufficient nutritional consumption is essential for well-being. Consequently, it is an important part of life, cancer treatment, recovery, and prevention; eating the necessary nutrients prior to, during, and after a cancer treatment would aid the patient in the recovery process. A healthy diet means a stable nourishment, and includes obtaining sufficient amounts of essential nutrients (vitamins, minerals, protein, carbohydrates, fat, and water) the body needs. Inadequate intake of essential vitamins and minerals might explain the epidemiological findings that people who eat only small amounts of fruits and vegetables have an increased risk of developing cancer.

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Nutraceuticals in arthritis and psoriasis : Management and prevention of diseases

Explores plant-derived nutraceuticals that can be used as crucial therapeutic tools in the prevention and treatment of arthritis and psoriasis, providing detailed information on the use of plant-derived nutraceuticals, such as microalgae and other marine botanicals, omega polyunsaturated fatty acids, glucosamine and chondroitin sulphate, plant-based gum, vitamins and oils, probiotic supplements, and others in the treatment and management of arthritis and psoriasis. The book relates the recent scientific evidence on the effectiveness of each of these nutraceutical treatments, offering case studies, results of clinical studies, and more.

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Numerical Methods for General and Structured Eigenvalue Problems

The purpose of this book is to describe recent developments in solving eig- value problems, in particular with respect to the QR and QZ algorithms as well as structured matrices. Outline Mathematically speaking, the eigenvalues of a square matrix A are the roots of its characteristic polynomial det(A??I). An invariant subspace is a linear subspace that stays invariant under the action of A. In realistic applications, it usually takes a long process of simpli?cations, linearizations and discreti- tions before one comes up with the problem of computing the eigenvalues of a matrix. In some cases, the eigenvalues have an intrinsic meaning, e.g., for the expected long-time behavior of a dynamical system; in others they are just meaningless intermediate values of a computational method. The same applies to invariant subspaces, which for example can describe sets of initial states for which a dynamical system produces exponentially decaying states. Computing eigenvalues has a long history, dating back to at least 1846 when Jacobi [172] wrote his famous paper on solving symmetric eigenvalue problems. Detailed historical accounts of this subject can be found in two papers by Golub and van der Vorst [140, 327].

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Nonparametric Monte Carlo Tests and Their Applications

A fundamental issue in statistical analysis is testing the fit of a particular probability model to a set of observed data. Monte Carlo approximation to the null distribution of the test provides a convenient and powerful means of testing model fit. Nonparametric Monte Carlo Tests and Their Applications proposes a new Monte Carlo-based methodology to construct this type of approximation Every chapter of the book includes algorithms, simulations, and theoretical deductions. The prerequisites for a full appreciation of the book are a modest knowledge of mathematical statistics and limit theorems in probability,empirical process theory.

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Nonparametric Functional Data Analysis : Theory and Practice

Modern apparatuses allow us to collect samples of functional data, mainly curves but also images. On the other hand, nonparametric statistics produces useful tools for standard data exploration. This book links these two fields of modern statistics by explaining how functional data can be studied through parameter-free statistical ideas. This book starts from theoretical foundations including functional nonparametric modeling, description of the mathematical framework, construction of the statistical methods, and statements of their asymptotic behaviors. It proceeds to computational issues including R and S-PLUS routines. Several functional datasets in chemometrics, econometrics, and pattern recognition are used to emphasize the wide scope of nonparametric functional data analysis in applied sciences. The companion Web site includes R and S-PLUS routines, command lines for reproducing examples presented in the book, and the functional datasets. Rather than set application against theory, this book is really an interface of these two features of statistics. A special effort has been made in writing this book to accommodate several levels of reading.

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Non-negative Matrices and Markov Chains

This book is a photographic reproduction of the book of the same title published in 1981, for which there has been continuing demand on account of its accessible technical level. Its appearance also helped generate considerable subsequent work on inhomogeneous products of matrices. This printing adds an additional bibliography on coefficients of ergodicity and a list of corrigenda.

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Nonlinear dynamics in complex systems via fractals and fractional calculus

Current advances in the knowledge of nonlinear dynamical networks, systems and processes, as well as their unified repercussions, allow us to include some typical complex natural phenomena, from the nanoscale to an extra-galactic scale, in an unitarian comprehensive manner. In other words, the physical, biological and financial data, as well as technological ones (mechanical or electronic devices), of complex systems available today can be managed by the same unique conceptual approach, both analytically and through a computer simulation, using effective nonlinear dynamics procedures. This volume collected some important advances in the fields of fractal curves, fractal analysis and fractional calculus, as well as new solutions of fractal differential equations.

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Nonlinear Dynamics and Heterogeneous Interacting Agents

Economic application of nonlinear dynamics, microscopic agent-based modelling, and the use of artificial intelligence techniques as learning devices of boundedly rational actors are among the most exciting interdisciplinary ventures of economic theory over the past decade. This volume provides us with a most fascinating series of examples on "complexity in action" exemplifying the scope and explanatory power of these innovative approaches.

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Noise-Induced Phenomena in Slow-Fast Dynamical Systems : A Sample-Paths Approach

Stochastic differential equations play an increasingly important role in modeling the dynamics of a large variety of systems in the natural sciences, and in technological applications. This book presents a new constructive approach to the quantitative description of solutions to systems of stochastic differential equations evolving on well-separated timescales. The method, which combines techniques from stochastic analysis and singular perturbation theory, allows the domains of concentration for typical sample paths to be determined, and provides precise estimates on the transition probabilities between these domains. In addition to the detailed presentation of the set-up and mathematical results, applications to problems in physics, biology, and climatology are discussed. The emphasis lies on noise-induced phenomena such as stochastic resonance, hysteresis, excitability, and the reduction of bifurcation delay.

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Next Generation Design and Verification Methodologies for Distributed Embedded Control Systems ; Proceedings of the GM R&D Workshop, Bangalore, India, January 2007

This volume is the proceedings of the workshop “Next Generation Design and Verification Methodologies for Distributed Embedded Control Systems” organised by General Motors R&D, India Science Lab. The workshop was held on January 5-6 2007 at the NIAS auditorium, IISc campus, Bangalore, India. This workshop is the first of its kind to be organised by an automotive major to bring together the leaders in the field of embedded systems development to present state-of-the-art work, and to discuss future strategies for addressing the increasing complexity of embedded control systems. The workshop consisted of invited talks given by leading experts and researchers from academic and industrial organizations.

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New Trends in Macroeconomics

This volume does exactly what its title says: it acquaints with 'New Trends in Macroeconomics'. More specifically, it contains eleven chapters covering different aspects of modern macroeconomics: short-run fluctuations, long-run growth, monetary economics, international finance, macroeconometrics and complex dynamics. All chapters break new grounds in their area while at the same time remain very accessible. The book contains also an excellent mixture of new techniques, interesting applications and methodological arguments. A valuable reference for both practitioners and researchers, it will also be of great help to gradutate students seeking to bring themselves to the frontier of one of the most fascinating fields of economics

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New trends in computational vision and bio-inspired computing : Selected works presented at the ICCVBIC 2018, Coimbatore, India

Gathers selected, peer-reviewed original contributions presented at the International Conference on Computational Vision and Bio-inspired Computing (ICCVBIC) conference which was held in Coimbatore, India, on November 29-30, 2018. The works included here offer a rich and diverse sampling of recent developments in the fields of Computational Vision, Fuzzy, Image Processing and Bio-inspired Computing. The topics covered include computer vision; cryptography and digital privacy; machine learning and artificial neural networks; genetic algorithms and computational intelligence; the Internet of Things; and biometric systems, to name but a few. The applications discussed range from security, healthcare and epidemic control to urban computing, agriculture and robotics.

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New product development : An empirical approach to study of the effects of innovation strategy, organization learning and market Conditions

New product development (NPD) is considered as a process of learning. Successful NPD projects typically rely on knowledge and experience of multi-function teams. In addition to corporate strategy and organization learning, the external factors such as, market and competitive conditions also play a big role in driving business strategies.

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New Methodologies and Techniques for a Sustainable Organic Chemistry

Chemical industries have to face the big challenge of finding adequate processes to produce large quantities of new products for which there is a present need, decreasing at the same time both the impact on the environment and the risk of disasters. These issues have led to the establishment of new concepts of sustainable development as affirmed in the Rio Declaration on Environment and Development in the early 90’s and has been the subject of intensive studies in the last two decades. The book addresses this challenge collecting the recent “New Methodologies and Techniques for a Sustainable Organic Chemistry”.

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New Materials in Civil Engineering

A valuable guide to the properties, selection criteria, products, applications, lifecycle and recyclability of advanced materials. It presents an A-to-Z approach to all types of materials, highlighting their key performance properties, principal characteristics and applications. Traditional materials covered include concrete, soil, steel, timber, fly ash, geosynthetic, fiber-reinforced concrete, smart materials, carbon fiber and reinforced polymers. In addition, the book covers nanotechnology and biotechnology in the development of new materials.

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New Drug Development for Known and Emerging Viruses

This book discusses the entire field of antiviral drug discovery and development from a medicinal chemistry perspective, focusing on antiviral drugs, targets, and viral disease mechanisms. It provides an outlook on emerging pathogens such as Ebola, Zika, West Nile, Lassa, and includes a chapter on SARS Coronoavirus-2 causing the present pandemic.

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New diagnostic method th detect peritoneal metastases in colorectal cancer

Colorectal cancer is the third common reason of death in population worldwide therefore we will focus in our study about description of this type of cancer and its symptoms to raise the public awareness to go to the right specialist as soon as the symptoms appear to improve early detection of this disease and the overall survival and we will highlight the best diet and life style to avoid this type of cancer hopefully beside that we will present all the most successful therapies of this disease from different classes of compounds such as chemotherapy or anti angiogenic and Metformin and other bacterial therapy however the major goal of the experimental part of this research is performed to establish a new promising diagnostic tool by Near Infra-red camera after injection of indyocine green to detection the peritoneal metastasis of colorectal in 15 patients since this kind of metastasis

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New Computational Paradigms ; 1st Conference on Computability in Europe, CiE 2005, Amsterdam, The Netherlands, June 8-12, 2005, Proceedings

This book constitutes the refereed proceedings of the first International Conference on Computability in Europe, CiE 2005, held in Amsterdam, The Netherlands in June 2005. The 68 revised full papers presented were carefully reviewed and selected from 144 submissions. Among them are papers corresponding to two tutorials, six plenary talks and papers of six special sessions involving mathematical logic and computer science at the same time as offering the methodological foundations for models of computation. The papers address many aspects of computability in Europe with a special focus on new computational paradigms. These include first of all connections between computation and physical systems (e.g., quantum and analog computation, neural nets, molecular computation), but also cover new perspectives on models of computation arising from basic research in mathematical logic and theoretical computer science.

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New Business Models for the Reuse of Secondary Resources from WEEEs : The FENIX Project

This book summarizes research being pursued within the FENIX project, funded by the EU community under the H2020 programme, the goal of which is to design a new product service paradigm able to promote innovative business models, to open added value to the vessels and to create new market segments. It experiments and validates its approach on three new concepts of added-value specialized vessels able to run requested services for several maritime sectors in the most effective, efficient, economic valuable and eco-friendly way. The three vessels share the same lean design methodology, IoT tools and HPC simulation strategy: a lean fact-based design model approach, which combines real operative data at sea with lean methodology, to support the development and implementation of the vessel concepts; IT customized tools to enable the acquisition, processing and usage of on board and local weather data, through an IoT platform, to provide business services to different stakeholders; HPC simulation, providing a virtual towing tank environment, for early vessel design improvement and testing. The book demonstrates that an integrated LCC analysis and LCC strategy to guarantee sustainability to vessels concepts and the proper environmental attention inside the maritime industry.

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