الصفحة 32
الصفحة 32
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.
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.
Insecticides Design Using Advanced Technologies
Among the highlights of this book are the use of nanotechnology to increase potency of available insecticides, the use of genetic engineering techniques for controlling insect pests, the development of novel insecticides that bind to unique biochemical receptors, the exploration of natural products as a source for environmentally acceptable insecticides, and the use of insect genomics and cell lines for determining biological and biochemical modes of action of new insecticides.
Inquiry-Based Learning – Undergraduate Research : The German Multidisciplinary Experience
This book provides a systematic overview of experiences with Inquiry-Based Learning (IBL) and undergraduate research (UR) in German universities, covering both research universities (Universitäten) and universities of applied sciences (Fachhochschulen). Divided into three parts, the book starts with the principles and common practices of IBL/UR at all universities. Part Two discusses the implementation of IBL/UR for twenty-one individual disciplines, ranging from architecture to theology. Part Three discusses the potential of IBL/UR in relation to several topics including diversity, digitalisation, different forms of universities, and the national job market. The book summarises the project of the German network of UR,
Innovative Internet Computing Systems ; 2nd International Workshop, IICS 2002, Kühlungsborn, Germany, June 20-22, 2002, Proceedings
Constitutes the proceedings of the second international workshop on Innovative Internet Computing Systems, held in Germany in 2002. The 20 papers cover large-scale distributed computing infrastructures, management and retrieval of web-based information, content classification and more.
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 Internet Community Systems ; Vol. 3473 ; 4th International Workshop, IICS 2004, Guadalajara, Mexico, June 21-23, 2004. Revised Papers
This book constitutes the thoroughly refereed postproceedings of the 4th International Workshop on Innovative Internet Community Systems, IICS 2004, held in Guadalajara, Mexico, in June 2004. The 25 revised full papers presented together with 2 invited papers have been carefully reviewed. They focus mainly on system-oriented problems, text processing, and theoretical foundations of distributed and Internet systems. They also deal with speed and quality-of-service problems of Internet protocols, aspects of cooperation and collaboration in Internet systems, as well as agent and text-processing-based methods. In addition, 9 papers stem from two mini-workshops, one on computational epidemiology and the other on optimization of urban traffic systems.
Innovative Algorithms and Techniques in Automation, Industrial Electronics and Telecommunications.
Innovative Algorithms and Techniques in Automation, Industrial Electronics and Telecommunications is a collection of world class paper articles addressing the following topics: Computer Networks: Access Technologies, Medium Access Control, Network architectures and Equipment, Optical Networks and Switching, Telecommunication Technology, and Ultra Wideband Communications. Coding and Modulation: Modeling and Simulation, OFDM technology , Space-time Coding, Spread Spectrum and CDMA Systems. Wireless technologies: Bluetooth , Cellular Wireless Networks, Cordless Systems and Wireless Local Loop, HIPERLAN, IEEE 802.11, Mobile Network Layer, Mobile Transport Layer, and Spread Spectrum.
Innovations in Macroeconomics ; 2nd ed.
Modern macroeconomics suffers from an unclear link between short-term Keynesian analysis and long-term growth modelling. Moreover, product and process innovations have been only partially integrated. The analysis suggests new approaches to innovations in open economies in many ways, including the Schumpeterian Mundell-Fleming model and new monetary growth models. A specific focus is on the role of innovations for output, employment and exchange rate developments. A new link between monetary analysis and growth modelling in open economies is presented. Structural change, innovations and growth are considered from a new perspective. This important new book sets a new direction for macroeconomics. By linking several strands of fundamental economic thinking into a coherent, integrated framework it provides a pathbreaking understanding into the fundamental forces shaping macroeconomic performance.
Innovations in Macroeconomics ; 1st ed.
Modern macroeconomics suffers from an unclear link between short-term Keynesian analysis and long-term growth modelling. Moreover, product and process innovations have been only partially integrated. The analysis suggests new approaches to innovations in open economies in many ways, including the Schumpeterian Mundell-Fleming model and new monetary growth models. A specific focus is on the role of innovations for output, employment and exchange rate developments. This book presents a new link between monetary analysis and growth modelling in open economies. Structural change, innovations and growth are considered from a new perspective. With respect to economic policy - in particular innovation policy - the analysis implies major changes, concerning both EU countries and other leading OECD economies.
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 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 E-learning, Instruction Technology, Assessment and Engineering Education
Innovations in E-learning, Instruction Technology, Assessment and Engineering Education is a collection of world class paper articles addressing the following topics: E-Learning including development of courses and systems for technical and liberal studies programs; online laboratories; intelligent testing using fuzzy logic; evaluation of on line courses in comparison to traditional courses; mediation in virtual environments; and methods for speaker verification. Instruction Technology including internet textbooks; pedagogy-oriented markup languages; graphic design possibilities; open source classroom management software; automatic email response systems; tablet-pcs; personalization using web mining technology; intelligent digital chalkboards; virtual room concepts for cooperative scientific work; and network technologies, management, and architecture.
Innovations in Design & Decision Support Systems in Architecture and Urban Planning
Traditionally, the DDSS conferences aim to be a platform for both starting and experienced researchers who focus on the development and application of computer support in urban planning and architectural design. This volume contains 31 peer reviewed papers from this year’s conference. This book will bring researchers together and is a valuable resource for their continuous joint effort to improve the design and planning of our environment.
Innovations in Bayesian Networks : Theory and Applications
Bayesian networks currently provide one of the most rapidly growing areas of research in computer science and statistics. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field.
Innovations in 3D Geoinformation Science
Covers various aspects of spatial data modelling specifically regarding three-dimensional (3D) modelling and structuring. The realization of "true" 3D geoinformation spatial systems requires a high input, and the developmental process is taking place in various research centers and universities around the globe.
Innovations and Advanced Techniques in Computer and Information Sciences and Engineering
Innovations and Advanced Techniques in Computer and Information Sciences and Engineering is a collection of world class paper articles addressing the following topics: Signal and Image Processing: Content Based Video Retrieval, Character Recognition, Incremental Learning for Speech Recognition, Signal Processing Theory and Methods, and Vision-based Monitoring Systems. Software and Systems: Activity-Based Software Estimation, Algorithms, Genetic Algorithms, Information Systems Security, Programming Languages, Software Protection Techniques, Software Protection Techniques, and User Interfaces. Distributed Processing: Asynchronous Message Passing System, Heterogeneous Software Environments, Mobile Ad Hoc Networks, Resource Allocation, and Sensor Networks. Advanced and innovative techniques in computing: e-Science and Virtual Instrumentation, Fault-Tolerant Scheduling, Grid Computing, Microcracking in Cortical Bones, Service-oriented Architectures, and Virtualization in Data Warehouses.
Innovation, Networks, and Knowledge Spillovers : Selected Essays
The volume is in three parts. The first part demonstrates that the processes of innovation and technological change are spatially differentiated, both regionally within countries and internationally between countries. The second part broadens, both conceptually and empirically, our understanding of the innovation process and the process of network formation, by examining the increasing importance of knowledge creation and diffusion in the new economy and how this is changing the nature of firms in crucial ways. Particular focus is laid on identifying the growing pressures for firms to develop more inter- and intrafirm networks and on providing lucid illustrations of these different kinds of networks. The third part discusses key issues related to the systems of innovation approach as a conceptual framework for regional innovation analysis and directs attention to enlightening conceptual and empirical work on the issue how knowledge spills over locally.
Innovation, Industrial Dynamics and Structural Transformation : Schumpeterian Legacies
This book provides an account of work in the Schumpeterian and evolutionary tradition of industrial dynamics and the evolution of industries. It is shown that over time industries evolve and change their structure. In this dynamic process change is affected and sometimes constraint by many factors: knowledge and technologies, the capabilities and incentives of actors, new products and processes, and institutions. All these elements and their relations drive innovative activities and affect economic performance in an industry. Investigations into these complex phenomena show a deep interdependence between empirical work delivering a rich account of regularities and stylized facts in the structure of industries and their change, and theoretical analyses ranging from appreciate theorizing to formal modeling.
