Zeitschrift
Ting, C. (Ed)
Memes have been defined as basic units of transferrable information that reside in the brain and are propagated across populations through the process of imitation. From an …
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Jin, Y. (Ed)
Complex & Intelligent Systems aims to provide a forum for presenting and discussing novel approaches, tools and techniques meant for attaining a cross-fertilization between the …
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Wang, X. (Ed), Yeung, D. S. (Ed)
Cybernetics is concerned with describing complex interactions and interrelationships between systems which are omnipresent in our daily life. Machine Learning discovers …
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Biscari, P. (Ed)
The aims of this peer-reviewed online journal are to distribute and archive all relevant material required to document, assess, validate and reconstruct in detail the body of …
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Verleysen, M. (Ed), Hassoun, M. H. (Ed)
Neural Processing Letters is an international journal that promotes fast exchange of the current state-of-the art contributions among the artificial neural network community of …
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Strohmaier, M. (Ed), Weber, I. (Ed)
The 21st century is currently witnessing the establishment of data-driven science as a complementary approach to the traditional hypothesis-driven method. This (r)evolution …
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Otto, F. (Ed), Sverak, V. (Ed)
The ARCHIVE FOR RATIONAL MECHANICS AND ANALYSIS nourishes the discipline of mechanics as a deductive, mathematical science in the classical tradition and promotes analysis, …
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Yau, H. (Ed)
The mission of Communications in Mathematical Physics is to offer a high forum for works which are motivated by the vision and the challenges of modern physics and which at the …
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Croccolo, F. (Ed), Graner, F. (Ed), Stark, H. (Ed)
Aims EPJ E publishes papers describing advances in the understanding of physical aspects of Soft, Liquid and Living Systems. Soft matter is a generic term for a large group of …
Zeitschrift
Penyazkov, O. G. (Ed)
The Journal of Engineering Physics and Thermophysics publishes the results of theoretical and experimental studies in the following fields: Thermophysics; Heat and mass transfer; …
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Hong, Y. (Ed)
The Control Theory and Technology publishes high-quality papers on original, theoretical and experimental research and development in the area of systems and control, including …
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Angelov, P. (Ed), Filev, D. (Ed), Kasabov, N. K. (Ed)
"Evolving Systems" covers surveys, methodological, and application-oriented papers in the emerging area of evolving systems. Evolving systems are inspired by the idea of system …
Zeitschrift
Bardi, U. (Ed), Hall, C. A. (Ed), Lianyong, F. (Ed)
This journal is dedicated to elucidating and quantifying the effects of natural resource quantity and quality on economies, sustainability, and human well-being. An explicit …
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Thai, M. T. (Ed), Du, D. (Ed)
Computational Social Networks showcases refereed papers dealing with all mathematical, computational and applied aspects of social computing. The objective of this journal is to …
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Kamihigashi, T. (Ed)
The Journal of Computational Social Science (JCSS) is an interdisciplinary peer-reviewed journal that ties together groundbreaking research across the strata of the social …
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Alhajj, R. (Ed)
Social Network Analysis and Mining (SNAM) is a multidisciplinary journal serving researchers and practitioners in academia and industry. It is the main venue for a wide range of …
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Cherifi, H. (Ed), Menezes, R. (Ed)
Applied Network Science (ANS) is an open-access and strictly peer-reviewed journal giving researchers and practitioners in the field the ability to reach a larger audience. ANS …
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Kryzhanovsky, B. V. (Ed), Soifer, V. A. (Ed)
The journal covers a wide range of issues in information optics such as optical memory, mechanisms for optical data recording and processing, photosensitive materials, optical, …
Zeitschrift
Sun, J. (Ed)
The Journal publishes original research and review articles reporting on theoretical, numerical and experimental works that advance the knowledge of linear and nonlinear dynamic …
Zeitschrift
Alhajj, R. (Ed), Wiil, U. K. (Ed)
NetMAHIB publishes original research articles and reviews reporting how graph theory, statistics, linear algebra and machine learning techniques can be effectively used for …