الصفحة 37
الصفحة 37
Integral Methods in Science and Engineering : Techniques and Applications
The physical world is studied by means of mathematical models, which consist of differential, integral, and integro-differential equations accompanied by a large assortment of initial and boundary conditions. In certain circumstances, such models yield exact analytic solutions. When they do not, they are solved numerically by means of various approximation schemes. Whether analytic or numerical, these solutions share a common feature: they are constructed by means of the powerful tool of integration—the focus of this self-contained book. This work illustrates the application of integral methods to diverse problems in mathematics, physics, biology, and engineering. The thirty two chapters of the book, written by scientists with established credentials in their fields, contain state-of-the-art information on current research in a variety of important practical disciplines.
Integral closure : Rees algebras, multiplicities, algorithms
Integral Closure gives an account of theoretical and algorithmic developments on the integral closure of algebraic structures. These are shared concerns in commutative algebra, algebraic geometry, number theory and the computational aspects of these fields. The overall goal is to determine and analyze the equations of the assemblages of the set of solutions that arise under various processes and algorithms. It gives a comprehensive treatment of Rees algebras and multiplicity theory - while pointing to applications in many other problem areas. Its main goal is to provide complexity estimates by tracking numerically invariants of the structures that may occur.
Integer programming and combinatorial optimization ; 9th International IPCO Conference, Cambridge, MA, USA, May 27-29, 2002. Proceedings
This volume contains the papers selected for presentation at IPCO 2002, the NinthInternationalConferenceonIntegerProgrammingandCombinatorial- timization, Cambridge, MA (USA), May 27–29, 2002. The IPCO series of c- ferences highlights recent developments in theory, computation, and application of integer programming and combinatorial optimization. IPCO was established in 1988 when the ?rst IPCO program committee was formed. IPCO is held every year in which no International Symposium on Ma- ematical Programming (ISMP) takes places. The ISMP is triennial, so IPCO conferences are held twice in every three-year period. The eight previous IPCO conferences were held in Waterloo (Canada) 1990, Pittsburgh (USA) 1992, Erice (Italy) 1993, Copenhagen (Denmark) 1995, Vancouver (Canada) 1996, Houston (USA) 1998, Graz (Austria) 1999, and Utrecht (The Netherlands) 2001. In response to the call for papers for IPCO 2002, the program committee received 110 submissions, a record number for IPCO. The program committee met on January 7 and 8, 2002, in Aussois (France), and selected 33 papers for inclusion in the scienti?c program of IPCO 2002. The selection was based on originality and quality, and re?ects many of the current directions in integer programming and combinatorial optimization research.
Instrumaster
Experiments with different neural network structures and algorithms in order to achieve musical note recognition as well as musical instrument recognition, all bundled in a mobile application. It also aims to create the most effective music-learning application that works completely offline, which is hard to find in modern music applications. The paper also explores why the instrument identifying AI is solely based on Multi-Layer Perceptron (MLP) and why the note-identifying AI system was chosen to be a ML system over CNN or other deep-learning trained AI. The paper presents feature extraction methods for audio signals and files and dives deep into the process, such as FFT, MFCCs, Wavelengths, sampling rates, etc. It also touches on Logistic Regression Algorithms, their limitations, and their performance with the different use cases in the application. All these techniques are then compared side by side for maximally added value, making this research paper a good reference for any future developers looking to find optimal neural networks techniques when it comes to audio processing and analysis.
Insights into the pharmaceutical and clinical applications of nanoparticles in cancer therapy
Healthcare has long been on a quest for a ‘magic bullet’ to cure the dreaded disease cancer. As this book shows, nanoparticles perfectly fit the bill with their promising characteristics. Meticulously engineered nanostructures, with a useful drug or molecule, target a specific cancer in unique ways. However, as with many targeted systems, the effectiveness of the system needs to be weighed against the adverse effects. The toxicity of nanoparticles has been a worldwide concern, and evidence-based medicine analyses nanostructures for proof of safety and their efficacy in killing cancer cells. This book gives a fresh perspective on a wealth of diverse nanotechnological advances for various cancers.
Insider attack and cyber security : Beyond the hacker
This book sets an agenda for an ongoing research initiative to solve one of the most vexing problems encountered in computer security, and includes the following topics: critical IT infrastructure protection, insider threats, awareness and dealing with nefarious human activities in a manner that respects individual liberties and privacy policies of organizations while providing the best protection of critical resources and services. In some sense, the insider problem is the ultimate security problem. This volume concludes with technical and legal challenges facing researchers who study and propose solutions to mitigate insider attacks.
Inside deep learning : Math, algorithms, models
Journey through the theory and practice of modern deep learning, and apply innovative techniques to solve everyday data problems. In Inside Deep Learning, you will learn how to: Implement deep learning with PyTorch Select the right deep learning components Train and evaluate a deep learning model Fine tune deep learning models to maximize performance Understand deep learning terminology Adapt existing PyTorch code to solve new problems Inside Deep Learning is an accessible guide to implementing deep learning with the PyTorch framework. It demystifies complex deep learning concepts and teaches you to understand the vocabulary of deep learning so you can keep pace in a rapidly evolving field. No detail is skipped--you'll dive into math, theory, and practical applications. Everything is clearly explained in plain English.
Inside asylum bureaucracy : Organizing refugee status determination in Austria
Provides sociological insight into governmental action on the administration of asylum in the European context. It offers an in-depth understanding of how decision-making officials encounter and respond to structural contradictions in the asylum procedure produced by diverging legal, political, and administrative objectives.The study focuses on structural aspects on the one hand, such as legal and organisational elements, and aspects of agency on the other hand, examining the social practices and processes going on at the frontside and the backside of the administrative asylum system.
Inorganic Scintillators for Detector Systems : Physical Principles and Crystal Engineering
The development of new scintillators as components of modern detector systems is increasingly defined by the end user's needs. This book provides an introduction to this emerging topic at the interface of physics and materials sciences, with emphasis on bulk inorganic scintillators. After surveying the end user's needs in a vast range of applications, ranging from astrophysics to industrial R & D, the authors move on to review scintillating mechanisms and the properties of the most important materials used. A chapter on crystal engineering and examples of recent developments in the field of high-energy physics and medical imaging introduce the reader to the practical aspects. This book will benefit researchers and scientists working in academic and industrial R & D related to the development of scintillators.
Inorganic and Organometallic Macromolecules : Design and Applications
Polymers containing metals and metal-like atoms are essential materials for the extended opportunities and demands of the 21st century. This book describes the synthesis of some of these polymers and their potential application in many fields such as materials, biomedicine, engineering, communications, and ceramics.
Innovative Medicine : Basic Research and Development
Devoted to innovative medicine, comprising the proceedings of the Uehara Memorial Foundation Symposium 2014. It remains extremely rare for the findings of basic research to be developed into clinical applications, and it takes a long time for the process to be achieved. The task of advancing the development of basic research into clinical reality lies with translational science, yet the field seems to struggle to find a way to move forward. To create innovative medical technology, many steps need to be taken: development and analysis of optimal animal models of human diseases, elucidation of genomic and epidemiological data, and establishment of “proof of concept”.
Innovative Internet Community Systems ; Vol. 3908 ; 5th International Workshop, IICS 2005, Paris, France, June 20-22, 2005. Revised Papers
Traditionally, there are topics discussed in three main aspects. All of them must be considered in a united manner in order to investigate and understand the emergence and evolution of communities in the Internet: knowledge about networking, content and text processing as well as theory. The goal of the I2CS workshop is to bring researchers from both industry and academic fields together to discuss current progress and future developments in these areas and to eliminate the gap between theory and application. At this point, we want to express immense gratitude to all the authors of the submitted papers and to the members of the international Program Committee for their contribution to the success of the event and a program of high quality. In a peer-to-peer review process, 17 papers were selected out of 27 submissions.
Innovative Concepts for Autonomic and Agent-Based Systems ; 2nd International Workshop on Radical Agent Concepts, WRAC 2005, Greenbelt, MD, USA, September 20-22, 2005, Revised Papers
This volume includes revised versions of papers presented at the workshop. The workshop was structured so as to allow adequate time for discussion and interaction, to exchange ideas and reflect on the motivations, scientific grounds and practical consequences of the concepts presented. Many of the ideas are truly “radical”, and so authors were given time to revise their papers to reflect further thoughts on the ideas presented and to reflect feedback received at the workshop. We are grateful to Jeff Kephart for a very interesting keynote speech describing IBM’s current and future work in this field, which fit very well with the aims and scope of the workshop.
Innovative comparative methods for policy analysis : Beyond the quantitative-qualitative divide
Innovative Comparative Methods for Policy Analysis aims to provide a decisive push to the further development and application of innovative and specific comparative methods for the improvement of policy analysis. To take on this challenge, this volume brings together methodologists and specialists from a broad range of social scientific disciplines and policy fields.
Innovative bioceramics in translational medicine II : Surgical applications
Highlights the latest advances in innovative bioceramics applied in the highly interdisciplinary area referred to as “translational medicine”. This volume predominantly written by surgeons in the fields of craniomaxillofacial, orthopedics, and spinal surgery, examines the translation of innovative bioceramics and bioceramics-based composite from the laboratory to a personalized surgical environment for the repair of damaged and diseased bone tissues.
Innovations in Quantitative Risk Management ; TU München, September 2013
The KPMG Center of Excellence in Risk Management conference Risk Management Reloaded and this proceedings volume contribute to bridging the gap between academia –providing methodological advances– and practice –having a firm understanding of the economic conditions in which a given model is used. Discussed fields of application range from asset management, credit risk, and energy to risk management issues in insurance. Methodologically, dependence modeling, multiple-curve interest rate-models, and model risk are addressed. Finally, regulatory developments and possible limits of mathematical modeling are discussed.
Innovations in Machine Learning : Theory and Applications
Machine learning is currently one of the most rapidly growing areas of research in computer science. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. This book covers the three main learning systems; symbolic learning, neural networks and genetic algorithms as well as providing a tutorial on learning casual influences. Each of the nine chapters is self-contained. Both theoreticians and application scientists/engineers in the broad area of artificial intelligence will find this volume valuable. It also provides a useful sourcebook for Postgraduate since it shows the direction of current research.
Innovations in Intelligent Machines - 1
This book includes a collection of chapters on the state of art in the area of intelligent machines. This research would provide a sound basis to make autonomous systems human-like. The contributions include: An introduction to intelligent machines / Supervisory control of multiple UAVs / Intelligent autonomous UAV task allocation / UAV path planning / Dynamic path planning / Routing in UAVS State estimation of micro air vehicles / Architecture for soccer playing robots / Robot perception / Application engineers scientists and researchers will find this book useful.
Innovations in Hybrid Intelligent Systems
Hybrid Artificial Intelligence Systems (HAIS) combines symbolic and sub-symbolic techniques to construct more robust and reliable problem solving models. This volume focused on "Hybrid Artificial Intelligence Systems" contains a collection of papers that were presented at the 2nd International Workshop on Hybrid Artificial Intelligence Systems, held in 12 - 13 November, 2007, Salamanca, Spain. This carefully edited book provides a comprehensive overview of the recent advances in the hybrid intelligent systems and covers a wide range of application areas, including data analysis and data mining, intelligent control, pattern recognition, robotics, optimization, etc. The book is aimed at researchers, practitioners and postgraduate students who are engaged in developing and applying advanced intelligent systems principles to solving real-world problems.
Innovations in fuzzy clustering : Theory and applications
There is a great interest in clustering techniques due to the vast amount of data generated in every field including business, health, science, engineering, aerospace, management and so on. It is essential to extract useful information from the data. Clustering techniques are widely used in pattern recognition and related applications. The following contents are included: Introduction to Fuzzy Clustering / Fuzzy Clustering based Principal Component Analysis / Fuzzy Clustering based Regression Analysis Kernel based Fuzzy Clustering / Evaluation of Fuzzy Clustering / Self-Organized Fuzzy Clustering
