Tumor Otak Analisis Klasifikasi Dan Deteksi Menggunakan Machine Learning Dan Deep Learning Dengan Python Gui

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TUMOR OTAK: Analisis, Klasifikasi, dan Deteksi Menggunakan Machine Learning dan Deep Learning dengan Python GUI

Author : Vivian Siahaan
Publisher : BALIGE PUBLISHING
ISBN 13 :
Total Pages : 204 pages
Book Rating : 4./5 ( download)

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Book Synopsis TUMOR OTAK: Analisis, Klasifikasi, dan Deteksi Menggunakan Machine Learning dan Deep Learning dengan Python GUI by : Vivian Siahaan

Download or read book TUMOR OTAK: Analisis, Klasifikasi, dan Deteksi Menggunakan Machine Learning dan Deep Learning dengan Python GUI written by Vivian Siahaan and published by BALIGE PUBLISHING. This book was released on 2021-08-13 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Buku ini merupakan versi bahasa Indonesia dari buku kami yang berjudul “BRAIN TUMOR: Analysis, Classification, and Detection Using Machine Learning and Deep Learning with Python GUI”. Anda dapat menemukannya di Google Books dan Amazon. Tentu, Anda telah banyak menjumpai buku-buku yang memberikan pemahaman fundamental dan teoritis yang berkaitan dengan Machine Learning dan Deep Learning. Berbeda dari buku-buku tersebut, buku ini diperuntukkan bagi Anda yang ingin mengupas data science, khususnya Machine Learning dan Deep Learning, dengan secara langsung mempraktekkannya dalam sebuah proyek. Hal ini akan meningkatkan kemampuan pemrograman Anda ketika Anda nantinya berniat untuk menjadi seorang Data Scientist. Pada proyek ini, Anda akan mempelajari cara menggunakan Scikit-Learn, TensorFlow, Keras, NumPy, Pandas, Seaborn, dan pustaka lainnya untuk menerapkan analisis, klasifikasi dan deteksi tumor otak dengan pembelajaran mesin (Machine Learning) dan Deep Learning menggunakan dataset Brain Tumor yang disediakan di Kaggle. Dataset ini berisi lima fitur orde pertama: Mean (kontribusi intensitas piksel individu untuk seluruh gambar), Variance (digunakan untuk menemukan bagaimana setiap piksel bervariasi dari piksel tetangga 0, Standard Deviation (deviasi nilai terukur atau data dari mean), Skewness (ukuran simetri), dan Kurtosis (menggambarkan puncak, misalnya, distribusi frekuensi). Dataset ini juga berisi delapan fitur orde kedua: Contrast, Energy, ASM (Angular second moment), Entropy, Homogeneity, Dissimilarity, Correlation, dan Coarseness. Model machine learning yang digunakan dalam proyek ini adalah K-Nearest Neighbor, Random Forest, Naive Bayes, Logistic Regression, Decision Tree, dan Support Vector Machine. Model deep learning yang digunakan dalam proyek ini adalah MobileNet dan ResNet50. Pada proyek ini, Anda akan mengembangkan GUI menggunakan PyQt5 untuk menampilkan decision boundary, ROC, distribusi fitur, feature importance, skor validasi silang, dan nilai terprediksi versus nilai sebenarnya, confusion matrix, rugi pelatihan, dan akurasi pelatihan.

Implementasi DEEP LEARNING Menggunakan Scikit-Learn, Keras, Dan Tensorflow Dengan Python GUI

Author : Vivian Siahaan
Publisher : BALIGE PUBLISHING
ISBN 13 :
Total Pages : 262 pages
Book Rating : 4./5 ( download)

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Book Synopsis Implementasi DEEP LEARNING Menggunakan Scikit-Learn, Keras, Dan Tensorflow Dengan Python GUI by : Vivian Siahaan

Download or read book Implementasi DEEP LEARNING Menggunakan Scikit-Learn, Keras, Dan Tensorflow Dengan Python GUI written by Vivian Siahaan and published by BALIGE PUBLISHING. This book was released on 2021-05-02 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Buku ini merupakan versi bahasa Indonesia dari buku kami yang berjudul “The Practical Guides On Deep Learning Using SCIKIT-LEARN, KERAS, and TENSORFLOW with Python GUI” yang dapat dilihat di Amazon maupun Google Books. Dalam buku ini, Anda akan mempelajari cara menggunakan TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy, dan library lainnya untuk mengimplementasikan deep learning dalam mengenali rambu lalu lintas menggunakan dataset GTSRB, mendeteksi tumor otak menggunakan dataset MRI Brain Image, mengklasifikasikan gender, dan mengenali ekspresi wajah menggunakan dataset FER2013. Pada bab 1, Anda akan belajar membuat aplikasi GUI untuk menampilkan grafik garis menggunakan PyQt. Anda juga akan belajar bagaimana mengkonversi citra menjadi keabuan, menjadi ruang warna YUV, dan menjadi ruang warna HSV. Bab ini juga mengajarkan bagaimana menampilkan citra dan histogramnya dan merancang GUI untuk mengimplementasikannya. Pada bab 2, Anda akan belajar menggunakan TensorFlow, Keras, Scikit-Learn, Pandas, NumPy dan sejumlah pustaka lain untuk memprediksi digit-digit tulisan tangan menggunakan dataset MNIST. Pada bab 3, Anda akan mempelajari cara menggunakan TensorFlow, Keras, Scikit-Learn, PIL, Pandas, NumPy, dan pustaka lain untuk mengenali rambu lalu lintas menggunakan dataset GTSRB dari Kaggle. Ada beberapa jenis rambu lalu lintas seperti batas kecepatan, dilarang masuk, rambu lalu lintas, belok kiri atau kanan, anak-anak menyeberang, tidak ada kendaraan berat yang lewat, dll. Klasifikasi rambu lalu lintas adalah proses untuk mengidentifikasi kelas rambu lalu lintas tersebut. Pada proyek Python ini, Anda akan membangun model jaringan saraf tiruan (deep neural network) yang dapat mengklasifikasikan rambu lalu lintas dalam citra ke dalam kategori yang berbeda. Dengan model ini, Anda akan dapat membaca dan memahami rambu lalu lintas yang merupakan pekerjaan yang sangat penting bagi semua kendaraan otonom. Anda juga akan membangun sebuah GUI untuk tujuan ini. Pada bab 4, Anda akan mempelajari cara menggunakan TensorFlow, Keras, Scikit-Learn, Pandas, NumPy dan pustaka lainnya untuk melakukan pendeteksian tumor otak menggunakan dataset Brain Image MRI yang disediakan oleh Kaggle (https://www.kaggle.com/navoneel/brain-mri-images-for-brain-tumor-detection). Anda juga akan membangun sebuah GUI untuk tujuan ini. Pada bab 5, Anda akan mempelajari cara menggunakan TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy dan library lain untuk melakukan klasifikasi gender menggunakan dataset yang disediakan oleh Kaggle (https://www.kaggle.com/cashutosh/gender-classification-dataset). Anda juga akan membangun sebuah GUI untuk tujuan ini. Pada bab 6, Anda akan mempelajari cara menggunakan TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy dan pustaka lain untuk melakukan pengenalan ekspresi wajah menggunakan dataset FER2013 yang disediakan oleh Kaggle (https://www.kaggle.com/nicolejyt/facialexpressionrecognition). Anda juga akan membangun sebuah GUI untuk tujuan ini.

BRAIN TUMOR: Analysis, Classification, and Detection Using Machine Learning and Deep Learning with Python GUI

Author : Vivian Siahaan
Publisher : BALIGE PUBLISHING
ISBN 13 :
Total Pages : 332 pages
Book Rating : 4./5 ( download)

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Book Synopsis BRAIN TUMOR: Analysis, Classification, and Detection Using Machine Learning and Deep Learning with Python GUI by : Vivian Siahaan

Download or read book BRAIN TUMOR: Analysis, Classification, and Detection Using Machine Learning and Deep Learning with Python GUI written by Vivian Siahaan and published by BALIGE PUBLISHING. This book was released on 2023-06-24 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, you will learn how to use Scikit-Learn, TensorFlow, Keras, NumPy, Pandas, Seaborn, and other libraries to implement brain tumor classification and detection with machine learning using Brain Tumor dataset provided by Kaggle. this dataset contains five first order features: Mean (the contribution of individual pixel intensity for the entire image), Variance (used to find how each pixel varies from the neighboring pixel 0, Standard Deviation (the deviation of measured Values or the data from its mean), Skewness (measures of symmetry), and Kurtosis (describes the peak of e.g. a frequency distribution). it also contains eight second order features: Contrast, Energy, ASM (Angular second moment), Entropy, Homogeneity, Dissimilarity, Correlation, and Coarseness. In this project, various methods and functionalities related to machine learning and deep learning are covered. Here is a summary of the process: Data Preprocessing: Loaded and preprocessed the dataset using various techniques such as feature scaling, encoding categorical variables, and splitting the dataset into training and testing sets.; Feature Selection: Implemented feature selection techniques such as SelectKBest, Recursive Feature Elimination, and Principal Component Analysis to select the most relevant features for the model.; Model Training and Evaluation: Trained and evaluated multiple machine learning models such as Random Forest, AdaBoost, Gradient Boosting, Logistic Regression, and Support Vector Machines using cross-validation and hyperparameter tuning. Implemented ensemble methods like Voting Classifier and Stacking Classifier to combine the predictions of multiple models. Calculated evaluation metrics such as accuracy, precision, recall, F1-score, and mean squared error for each model. Visualized the predictions and confusion matrix for the models using plotting techniques.; Deep Learning Model Building and Training: Built deep learning models using architectures such as MobileNet and ResNet50 for image classification tasks. Compiled and trained the models using appropriate loss functions, optimizers, and metrics. Saved the trained models and their training history for future use.; Visualization and Interaction: Implemented methods to plot the training loss and accuracy curves during model training. Created interactive widgets for displaying prediction results and confusion matrices. Linked the selection of prediction options in combo boxes to trigger the corresponding prediction and visualization functions.; Throughout the process, various libraries and frameworks such as scikit-learn, TensorFlow, and Keras are used to perform the tasks efficiently. The overall goal was to train models, evaluate their performance, visualize the results, and provide an interactive experience for the user to explore different prediction options.

Data Mining for the Masses, Third Edition

Author : Matthew North
Publisher :
ISBN 13 : 9781727102475
Total Pages : 310 pages
Book Rating : 4.1/5 (24 download)

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Book Synopsis Data Mining for the Masses, Third Edition by : Matthew North

Download or read book Data Mining for the Masses, Third Edition written by Matthew North and published by . This book was released on 2018-09-05 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Some say we live in the Information Age; others, the Social Age; and still others, the Big Data Age. Regardless of what name we give it, we live in an age that generates monumental amounts of data-in all different kinds of formats. In business, and in our personal lives, we use smartphones and tablets, web sites and watches; with apps and interfaces to shop, learn, entertain and inform. Businesses increasingly use technology to interact with consumers to provide marketing, customer service, product information and more. All of this technological activity generates data, and we're increasingly good at gathering, storing and analyzing it.Data mining can help to identify interesting patterns and messages that exist in data, often hidden beneath the surface. In this modern age of information systems, it is easier than ever before to extract meaning from data. From classification to prediction, data mining can help.In Data Mining for the Masses, Third Edition, professor Matt North-a former risk analyst and software engineer at eBay-uses simple examples and clear explanations with free, powerful software tools to teach you the basics of data mining. In this Third Edition, implementations of these examples are offered in current versions of the RapidMiner software, and in the increasingly popular R Statistical Package.You've got more data than ever before and you know it's got value, if only you can figure out how to get to it. This book can show you how. Let's start digging!

Predictive Analytics and Data Mining

Author : Vijay Kotu
Publisher : Morgan Kaufmann
ISBN 13 : 0128016507
Total Pages : 447 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Predictive Analytics and Data Mining by : Vijay Kotu

Download or read book Predictive Analytics and Data Mining written by Vijay Kotu and published by Morgan Kaufmann. This book was released on 2014-11-27 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: Put Predictive Analytics into ActionLearn the basics of Predictive Analysis and Data Mining through an easy to understand conceptual framework and immediately practice the concepts learned using the open source RapidMiner tool. Whether you are brand new to Data Mining or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Data Mining has become an essential tool for any enterprise that collects, stores and processes data as part of its operations. This book is ideal for business users, data analysts, business analysts, business intelligence and data warehousing professionals and for anyone who wants to learn Data Mining.You’ll be able to:1. Gain the necessary knowledge of different data mining techniques, so that you can select the right technique for a given data problem and create a general purpose analytics process.2. Get up and running fast with more than two dozen commonly used powerful algorithms for predictive analytics using practical use cases.3. Implement a simple step-by-step process for predicting an outcome or discovering hidden relationships from the data using RapidMiner, an open source GUI based data mining tool Predictive analytics and Data Mining techniques covered: Exploratory Data Analysis, Visualization, Decision trees, Rule induction, k-Nearest Neighbors, Naïve Bayesian, Artificial Neural Networks, Support Vector machines, Ensemble models, Bagging, Boosting, Random Forests, Linear regression, Logistic regression, Association analysis using Apriori and FP Growth, K-Means clustering, Density based clustering, Self Organizing Maps, Text Mining, Time series forecasting, Anomaly detection and Feature selection. Implementation files can be downloaded from the book companion site at www.LearnPredictiveAnalytics.com Demystifies data mining concepts with easy to understand language Shows how to get up and running fast with 20 commonly used powerful techniques for predictive analysis Explains the process of using open source RapidMiner tools Discusses a simple 5 step process for implementing algorithms that can be used for performing predictive analytics Includes practical use cases and examples

Advances in Knowledge Discovery and Data Mining

Author : Usama M. Fayyad
Publisher :
ISBN 13 :
Total Pages : 638 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Advances in Knowledge Discovery and Data Mining by : Usama M. Fayyad

Download or read book Advances in Knowledge Discovery and Data Mining written by Usama M. Fayyad and published by . This book was released on 1996 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: Eight sections of this book span fundamental issues of knowledge discovery, classification and clustering, trend and deviation analysis, dependency derivation, integrated discovery systems, augumented database systems and application case studies. The appendices provide a list of terms used in the literature of the field of data mining and knowledge discovery in databases, and a list of online resources for the KDD researcher.

Exchange Rate Forecasting

Author : Christian Dunis
Publisher : Irwin Professional Publishing
ISBN 13 : 9781557381002
Total Pages : 356 pages
Book Rating : 4.3/5 (81 download)

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Book Synopsis Exchange Rate Forecasting by : Christian Dunis

Download or read book Exchange Rate Forecasting written by Christian Dunis and published by Irwin Professional Publishing. This book was released on 1989 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Adaptive and Natural Computing Algorithms

Author : Marco Tomassini
Publisher : Springer
ISBN 13 : 3642372139
Total Pages : 518 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Adaptive and Natural Computing Algorithms by : Marco Tomassini

Download or read book Adaptive and Natural Computing Algorithms written by Marco Tomassini and published by Springer. This book was released on 2013-04-12 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book constitutes the refereed proceedings of the 11th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2013, held in Lausanne, Switzerland, in April 2013. The 51 revised full papers presented were carefully reviewed and selected from a total of 91 submissions. The papers are organized in topical sections on neural networks, evolutionary computation, soft computing, bioinformatics and computational biology, advanced computing, and applications.

A Tribute to Prof. Dr. Da Ruan

Author : Jie Lu
Publisher : Springer Science & Business Media
ISBN 13 : 3642303072
Total Pages : 254 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis A Tribute to Prof. Dr. Da Ruan by : Jie Lu

Download or read book A Tribute to Prof. Dr. Da Ruan written by Jie Lu and published by Springer Science & Business Media. This book was released on 2012-07-18 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is a tribute to Professor Dr Da Ruan, who passed away suddenly on July 31, 2011, aged 50. The flood of emails that spread throughout the fuzzy logic research community with the tragic news was testimony to the respect and liking felt for this remarkable man. Da was a hardworking , highly productive scientist who, during his short life, published 35 books and more than 250 research papers in highly ranked journals and conference proceedings. He established two successful conferences, FLINS and ISKE, as well as the international journal, JCIS. This book is a collection of contributions from 88 of Da's academic friends from 47 institutes, presented in 60 chapters and over 70 pictures. A Foreword by Lotfi Zadeh begins Da's story. Section 1 provides an overview of Da's funeral on August 6, 2011. Part II outlines Da’s scientific life, his education, scientific career, publications and keynote talks. Part III presents testimonials by Da's colleagues of academic activities, including guest professorships and his many visits to foreign institutes. Part IV contains thirty contributions from colleagues and friends across the world to describe their collaborative experience with Da. We hope this book will keep the memory of Da alive – great scientist, great friend, great humanitarian. He will remain in our hearts forever.

7th International Conference on Practical Applications of Computational Biology & Bioinformatics

Author : Mohd Saberi Mohamad
Publisher : Springer Science & Business Media
ISBN 13 : 3319005782
Total Pages : 160 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis 7th International Conference on Practical Applications of Computational Biology & Bioinformatics by : Mohd Saberi Mohamad

Download or read book 7th International Conference on Practical Applications of Computational Biology & Bioinformatics written by Mohd Saberi Mohamad and published by Springer Science & Business Media. This book was released on 2013-04-19 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: The growth in the Bioinformatics and Computational Biology fields over the last few years has been remarkable and the trend is to increase its pace. In fact, the need for computational techniques that can efficiently handle the huge amounts of data produced by the new experimental techniques in Biology is still increasing driven by new advances in Next Generation Sequencing, several types of the so called omics data and image acquisition, just to name a few. The analysis of the datasets that produces and its integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Within this scenario of increasing data availability, Systems Biology has also been emerging as an alternative to the reductionist view that dominated biological research in the last decades. Indeed, Biology is more and more a science of information requiring tools from the computational sciences. In the last few years, we have seen the surge of a new generation of interdisciplinary scientists that have a strong background in the biological and computational sciences. In this context, the interaction of researchers from different scientific fields is, more than ever, of foremost importance boosting the research efforts in the field and contributing to the education of a new generation of Bioinformatics scientists. PACBB‘13 hopes to contribute to this effort promoting this fruitful interaction. PACBB'13 technical program included 19 papers from a submission pool of 32 papers spanning many different sub-fields in Bioinformatics and Computational Biology. Therefore, the conference will certainly have promoted the interaction of scientists from diverse research groups and with a distinct background (computer scientists, mathematicians, biologists). The scientific content will certainly be challenging and will promote the improvement of the work that is being developed by each of the participants.

Adaptable Embedded Systems

Author : Antonio Carlos Schneider Beck
Publisher : Springer Science & Business Media
ISBN 13 : 1461417465
Total Pages : 321 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Adaptable Embedded Systems by : Antonio Carlos Schneider Beck

Download or read book Adaptable Embedded Systems written by Antonio Carlos Schneider Beck and published by Springer Science & Business Media. This book was released on 2012-11-27 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: As embedded systems become more complex, designers face a number of challenges at different levels: they need to boost performance, while keeping energy consumption as low as possible, they need to reuse existent software code, and at the same time they need to take advantage of the extra logic available in the chip, represented by multiple processors working together. This book describes several strategies to achieve such different and interrelated goals, by the use of adaptability. Coverage includes reconfigurable systems, dynamic optimization techniques such as binary translation and trace reuse, new memory architectures including homogeneous and heterogeneous multiprocessor systems, communication issues and NOCs, fault tolerance against fabrication defects and soft errors, and finally, how one can combine several of these techniques together to achieve higher levels of performance and adaptability. The discussion also includes how to employ specialized software to improve this new adaptive system, and how this new kind of software must be designed and programmed.

A General Framework for Reasoning On Inconsistency

Author : Maria Vanina Martinez
Publisher : Springer Science & Business Media
ISBN 13 : 1461467500
Total Pages : 51 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis A General Framework for Reasoning On Inconsistency by : Maria Vanina Martinez

Download or read book A General Framework for Reasoning On Inconsistency written by Maria Vanina Martinez and published by Springer Science & Business Media. This book was released on 2013-03-20 with total page 51 pages. Available in PDF, EPUB and Kindle. Book excerpt: This SpringerBrief proposes a general framework for reasoning about inconsistency in a wide variety of logics, including inconsistency resolution methods that have not yet been studied. The proposed framework allows users to specify preferences on how to resolve inconsistency when there are multiple ways to do so. This empowers users to resolve inconsistency in data leveraging both their detailed knowledge of the data as well as their application needs. The brief shows that the framework is well-suited to handle inconsistency in several logics, and provides algorithms to compute preferred options. Finally, the brief shows that the framework not only captures several existing works, but also supports reasoning about inconsistency in several logics for which no such methods exist today.

3D Surface Reconstruction

Author : Francesco Bellocchio
Publisher : Springer Science & Business Media
ISBN 13 : 1461456320
Total Pages : 167 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis 3D Surface Reconstruction by : Francesco Bellocchio

Download or read book 3D Surface Reconstruction written by Francesco Bellocchio and published by Springer Science & Business Media. This book was released on 2012-10-28 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: 3D Surface Reconstruction: Multi-Scale Hierarchical Approaches presents methods to model 3D objects in an incremental way so as to capture more finer details at each step. The configuration of the model parameters, the rationale and solutions are described and discussed in detail so the reader has a strong understanding of the methodology. Modeling starts from data captured by 3D digitizers and makes the process even more clear and engaging. Innovative approaches, based on two popular machine learning paradigms, namely Radial Basis Functions and the Support Vector Machines, are also introduced. These paradigms are innovatively extended to a multi-scale incremental structure, based on a hierarchical scheme. The resulting approaches allow readers to achieve high accuracy with limited computational complexity, and makes the approaches appropriate for online, real-time operation. Applications can be found in any domain in which regression is required. 3D Surface Reconstruction: Multi-Scale Hierarchical Approaches is designed as a secondary text book or reference for advanced-level students and researchers in computer science. This book also targets practitioners working in computer vision or machine learning related fields.

4th International Conference on Biomedical Engineering in Vietnam

Author : Vo Van Toi
Publisher : Springer Science & Business Media
ISBN 13 : 3642321828
Total Pages : 424 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis 4th International Conference on Biomedical Engineering in Vietnam by : Vo Van Toi

Download or read book 4th International Conference on Biomedical Engineering in Vietnam written by Vo Van Toi and published by Springer Science & Business Media. This book was released on 2012-09-21 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the proceedings of the Fourth International Conference on the Development of Biomedical Engineering in Vietnam which was held in Ho Chi Minh City as a Mega-conference. It is kicked off by the Regenerative Medicine Conference with the theme “BUILDING A FACE” USING A REGENERATIVE MEDICINE APPROACH”, endorsed mainly by the Tissue Engineering and Regenerative Medicine International Society (TERMIS). It is followed by the Computational Medicine Conference, endorsed mainly by the Computational Surgery International Network (COSINE) and the Computational Molecular Medicine of German National Funding Agency; and the General Biomedical Engineering Conference, endorsed mainly by the International Federation for Medical and Biological Engineering (IFMBE). It featured the contributions of 435 scientists from 30 countries, including: Australia, Austria, Belgium, Canada, China, Finland, France, Germany, Hungary, India, Iran, Italy, Japan, Jordan, Korea, Malaysia, Netherlands, Pakistan, Poland, Russian Federation, Singapore, Spain, Switzerland, Taiwan, Turkey, Ukraine, United Kingdom, United States, Uruguay and Viet Nam.

A Survey of Core Research in Information Systems

Author : Anna Sidorova
Publisher : Springer Science & Business Media
ISBN 13 : 1461471583
Total Pages : 108 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis A Survey of Core Research in Information Systems by : Anna Sidorova

Download or read book A Survey of Core Research in Information Systems written by Anna Sidorova and published by Springer Science & Business Media. This book was released on 2013-03-29 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Information Systems (IS) discipline was founded on the intersection of computer science and organizational sciences, and produced a rich body of research on topics ranging from database design and the strategic role of IT to website design and online consumer behavior. In this book, the authors provide an introduction to the discipline, its development, and the structure of IS research, at a level that is appropriate for emerging and current IS scholars. Guided by a bibliometric study of all research articles published in eight premier IS research journals over a 20-year period, the authors identify and present the top 51 IS research topics. For each topic, they provide a brief overview, time trends, and references to related influential research works. The topics are organized into an IS research framework that includes research on the IT artifact and IS development, IT and organizations, IT and individuals, IT and markets, and IT for teamwork and collaboration.

Advanced Mechanics of Piezoelectricity

Author : Qinghua Qin
Publisher : Springer Science & Business Media
ISBN 13 : 3642297676
Total Pages : 339 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Advanced Mechanics of Piezoelectricity by : Qinghua Qin

Download or read book Advanced Mechanics of Piezoelectricity written by Qinghua Qin and published by Springer Science & Business Media. This book was released on 2012-11-29 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Advanced Mechanics of Piezoelectricity" presents a comprehensive treatment of piezoelectric materials using linear electroelastic theory, symplectic models, and Hamiltonian systems. It summarizes the current state of practice and presents the most recent research findings in piezoelectricity. It is intended for researchers and graduate students in the fields of applied mechanics, material science and engineering, computational engineering, and aerospace engineering. Dr. Qinghua Qin is a professor at the School of Engineering, Australian National University, Australia.

Advances in Applied Self-Organizing Systems

Author : Mikhail Prokopenko
Publisher : Springer
ISBN 13 : 9781447158998
Total Pages : 0 pages
Book Rating : 4.1/5 (589 download)

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Book Synopsis Advances in Applied Self-Organizing Systems by : Mikhail Prokopenko

Download or read book Advances in Applied Self-Organizing Systems written by Mikhail Prokopenko and published by Springer. This book was released on 2015-06-06 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do we design a self-organizing system? Is it possible to validate and control non-deterministic dynamics? What is the right balance between the emergent patterns that bring robustness, adaptability and scalability, and the traditional need for verification and validation of the outcomes? The last several decades have seen much progress from original ideas of “emergent functionality” and “design for emergence”, to sophisticated mathematical formalisms of “guided self-organization”. And yet the main challenge remains, attracting the best scientific and engineering expertise to this elusive problem. This book presents state-of-the-practice of successfully engineered self-organizing systems, and examines ways to balance design and self-organization in the context of applications. As demonstrated in this second edition of Advances in Applied Self-Organizing Systems, finding this balance helps to deal with practical challenges as diverse as navigation of microscopic robots within blood vessels, self-monitoring aerospace vehicles, collective and modular robotics adapted for autonomous reconnaissance and surveillance, self-managing grids and multiprocessor scheduling, data visualization and self-modifying digital and analog circuitry, intrusion detection in computer networks, reconstruction of hydro-physical fields, traffic management, immunocomputing and nature-inspired computation. Many algorithms proposed and discussed in this volume are biologically inspired, and the reader will also gain an insight into cellular automata, genetic algorithms, artificial immune systems, snake-like locomotion, ant foraging, birds flocking, neuromorphic circuits, amongst others. Demonstrating the practical relevance and applicability of self-organization, Advances in Applied Self-Organizing Systems will be an invaluable tool for advanced students and researchers in a wide range of fields.