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Um saudosismo com cheiro de terra molhada pela chuva. Esse é o cheiro dessas páginas – sejam digitais ou físicas! Uma antologia que reúne as nuances de várias infâncias pelo mundo afora: do colorido em uma folha de papel A4 à melancolia de uma vida dura, desde os primeiros segundos neste planeta azul. Nuances e divergências à parte, o ponto comum e possível de vislumbrar na antologia “Infâncias” é que o tecido que separa a própria infância da poesia é tão sutil que em certos pontos é muito difícil distingui-los. Dito isso, esta antologia tem de fato muito de infância dentro de si. Talvez seja uma forma de infância. Dos medos absurdos à uma casinha com uma árvore em um dia de sol… Ah! Infâncias… M. Sales
The book covers the most recent developments in machine learning, signal analysis, and their applications. It covers the topics of machine intelligence such as: deep learning, soft computing approaches, support vector machines (SVMs), least square SVMs (LSSVMs) and their variants; and covers the topics of signal analysis such as: biomedical signals including electroencephalogram (EEG), magnetoencephalography (MEG), electrocardiogram (ECG) and electromyogram (EMG) as well as other signals such as speech signals, communication signals, vibration signals, image, and video. Further, it analyzes normal and abnormal categories of real-world signals, for example normal and epileptic EEG signals using numerous classification techniques. The book is envisioned for researchers and graduate students in Computer Science and Engineering, Electrical Engineering, Applied Mathematics, and Biomedical Signal Processing.
Antologia com vários autores. Verificar biografias no final do livro.
This book will address the discussion on online distance education, teacher education, and how the mathematics is transformed with the Internet, based on examples that illustrate the possibilities of different course models and on the theoretical construct humans-with-media. We will attempt to give the reader the sensation of experiencing one of the various distance courses in which we have participated, or a virtual community that does not have the structure of a course. And if the reader has not yet participated in any of these possibilities, we believe that the book may help, but not substitute, the experience of participating in a discussion list, a course, or a virtual community constit...
"No começo dessa semana, um poeta me escreveu um e-mail perguntando como ele deveria divulgar os seus poemas. Contei a ele que, na poesia, as coisas começaram a funcionar melhor para mim quando comecei a fazer mais pelos outros e, em consequência, mais pela sociedade. Ao responder, também, fiz questão de ressaltar o fato das pessoas saberem que sou poeta, mas conhecerem mais os meus projetos do que as minhas produções literárias ~ poemas. Por fim, escrevi: a poesia existe para além do poema, ela está nas ações em sociedade." — Jéssica Iancoski
Updating the original, Transforms and Applications Handbook, Third Edition solidifies its place as the complete resource on those mathematical transforms most frequently used by engineers, scientists, and mathematicians. Highlighting the use of transforms and their properties, this latest edition of the bestseller begins with a solid introduction to signals and systems, including properties of the delta function and some classical orthogonal functions. It then goes on to detail different transforms, including lapped, Mellin, wavelet, and Hartley varieties. Written by top experts, each chapter provides numerous examples and applications that clearly demonstrate the unique purpose and properti...
This book provides a systematic and focused study of the various aspects of twin support vector machines (TWSVM) and related developments for classification and regression. In addition to presenting most of the basic models of TWSVM and twin support vector regression (TWSVR) available in the literature, it also discusses the important and challenging applications of this new machine learning methodology. A chapter on “Additional Topics” has been included to discuss kernel optimization and support tensor machine topics, which are comparatively new but have great potential in applications. It is primarily written for graduate students and researchers in the area of machine learning and related topics in computer science, mathematics, electrical engineering, management science and finance.
This book features selected high-quality research papers presented at the International Conference on Machine Intelligence and Signal Processing (MISP 2019), held at the Indian Institute of Technology, Allahabad, India, on September 7–10, 2019. The book covers the latest advances in the fields of machine learning, big data analytics, signal processing, computational learning theory, and their real-time applications. The topics covered include support vector machines (SVM) and variants like least-squares SVM (LS-SVM) and twin SVM (TWSVM), extreme learning machine (ELM), artificial neural network (ANN), and other areas in machine learning. Further, it discusses the real-time challenges involved in processing big data and adapting the algorithms dynamically to improve the computational efficiency. Lastly, it describes recent developments in processing signals, for instance, signals generated from IoT devices, smart systems, speech, and videos and addresses biomedical signal processing: electrocardiogram (ECG) and electroencephalogram (EEG).