Journal Guide

Integral Transforms and Special Functions belongs to the basic subjects of mathematical analysis, the theory of differential and integral equations, approximation theory, and to many other areas of pure and applied mathematics. Although centuries old, these subjects are under intense development, for use in pure and applied mathematics, physics, engineering and computer science. This stimulates continuous interest for researchers in these fields. The aim of Integral Transforms and Special Functions is to foster further growth by providing a means for the publication of important research on all aspects of the subjects.INCREASED 2009 Impact Factor: 0.756169; 2010 Thomson Reuters, 2009 Journal Citation Reports174;All published research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymous refereeing by independent expert referees.DisclaimerTaylor & Francis makes every effort to ensure the accuracy of all the information (the 8220;Content8221;) contained in its publications. However, Taylor & Francis and its agents and licensors make no representations or warranties whatsoever as to the accuracy, completeness or suitability for any purpose of the Content and disclaim all such representations and warranties whether express or implied to the maximum extent permitted by law. Any views expressed in this publication are the views of the authors and are not the views of Taylor & Francis.

Integrated Computer-Aided Engineering was founded in 1993."Based on the premise that interdisciplinary thinking and synergistic collaboration of disciplines can solve complex problems, open new frontiers, and lead to true innovations and breakthroughs, the cornerstone of industrial competitiveness and advancement of the society" as noted in the inaugural issue of the journal.The focus of ICAE is the integration of leading edge and emerging computer and information technologies for innovative solution of engineering problems. The journal fosters interdisciplinary research and presents a unique forum for innovative computer-aided engineering. It also publishes novel industrial applications of CAE, thus helping to bring new computational paradigms from research labs and classrooms to reality. Areas covered by the journal include (but are not limited to) artificial intelligence, advanced signal processing, biologically inspired computing, cognitive modeling, concurrent engineering, database management, distributed computing, evolutionary computing, fuzzy logic, genetic algorithms, geometric modeling, intelligent and adaptive systems, internet-based technologies, knowledge discovery and engineering, machine learning, mechatronics, mobile computing, multimedia technologies, networking, neural network computing, object-oriented systems, optimization and search, parallel processing, robotics virtual reality, and visualization techniques.

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Intelligent Data Analysis provides a forum for the examination of issues related to the research and applications of Artificial Intelligence techniques in data analysis across a variety of disciplines. These techniques include (but are not limited to): all areas of data visualization, data pre-processing (fusion, editing, transformation, filtering, sampling), data engineering, database mining techniques, tools and applications, use of domain knowledge in data analysis, evolutionary algorithms, machine learning, neural nets, fuzzy logic, statistical pattern recognition, knowledge filtering, and post-processing. In particular, papers are preferred that discuss development of new AI related data analysis architectures, methodologies, and techniques and their applications to various domains.Papers published in this journal are geared heavily towards applications, with an anticipated split of 70% of the papers published being applications-oriented, research and the remaining 30% containing more theoretical research.

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Computational mechanics is an integral and major subject of research in many fields of science and engineering, design and manufacturing. Major established industries such as the automobile, aerospace, atmospheric sciences, chemical, pharmaceutical, petroleum, electronics and communications, as well as emerging industries such as biotechnology, nanotechnology, and information technology rely on computational mechanics-based capabilities to model and numerically simulate complex systems for the analysis, design, and manufacturing of high-technology products. Rapid advances in computer architecture, hardware, software technology and tools, and numerical and non-numerical algorithms, are making significant contributions to the development of computational models and methods to model materials and analyze and design complex engineering systems.The main aim of International Journal for Computational Methods in Engineering Science & Mechanics (CMES) is to provide a unique interdisciplinary forum to publish papers dealing with mathematical models and computational methods and algorithms for the numerical simulation of natural processes arising in applied science and mechanics. Special emphasis will be placed on both upstream and applied research and on the transfer of technology to the industry in the areas of fluid mechanics, heat transfer, solid and structural mechanics in the disciplines of aerospace, chemical, civil, mechanical, electrical engineering, and computational biology, chemistry, and materials science. Papers dealing with novel computational methods to model current and emerging technologies in microelectromechanical systems, electromagnetics, biotechnology, nanotechnology, and information technology are encouraged.Through faster dissemination, the International Journal for Computational Methods in Engineering Science & Mechanics (CMES) offers scope for academics, researchers, and engineering professionals to present their research and development works that have potential for applications in several disciplines of engineering. The journal publishes manuscripts dealing primarily with the computational science and mechanics aspects of natural phenomena (for example, mathematical modeling of materials and systems, novel applications, and numerical simulations). Contributions may range from new methods to novel applications of existing methods to gain understanding of the material and/or structural behavior of new and advanced systems. The following is a nonexhaustive list of topics considered to be within the scope of CMES. Computational Science and Engineering: Finite element method, boundary element method, finite difference method, meshless techniques, automated and adaptive analysis methods and engineering design and optimization. Industrial Applications: Aerospace, biological, chemical, civil, mechanical, materials science, electrical engineering, and manufacturing processes. Computational Processes: Algorithms, software technology and tools, high performance computing and parallel and distributed computing, artificial intelligence, scientific visualization and virtual reality - all in the context of simulation of natural and physical phenomena. Publication office: Taylor & Francis, Inc., 325 Chestnut Street, Suite 800, Philadelphia, PA 19106.

The aim of the journal is to advance the research and practice in diverse areas of Multiscale Computational Science and Engineering. The journal will publish original papers and educational articles of general value to the field that will bridge the gap between modeling, simulation and design of products based on multiscale principles. The scope of the journal includes papers concerned with bridging of physical scales, ranging from the atomic level to full scale products and problems involving multiple physical processes interacting at multiple spatial and temporal scales. The emerging areas of computational nanotechnology and computational biotechnology and computational energy sciences are of particular interest to the journal. The journal is intended to be of interest and use to researchers and practitioners in academic, governmental and industrial communities.

Please note that the journal's title from January 2010 onwards will be The International Journal for Numerical Methods in Biomedical Engineering. The new Aims and Scope is effective immediately. International Journal for Numerical Methods in Biomedical Engineering is an international journal which publishes both full length and short refereed papers describing significant developments in numerical methods and their application to biomedical engineering problems. Contributions are encouraged in all areas of biomedical engineering, such as patient-specific modelling, biofluid and biosolid mechanics, tissue engineering, cardiovascular and respiratory mechanics, tumour modelling, medical imaging and image processing, visualisation, meshing, numerical modelling of organs, drug delivery, surgical simulation, micro- and nano- mechanics, multiscale problems, human body electromagnetics, molecular biology, medical device design, health care models and numerical methods specially designed for biomedical problems. Authors are reminded that application of a standard numerical procedure to a standard problem is not within the scope of this journal. Manuscripts that present solutions to realistic and new biomedical problems using standard numerical procedures should provide evidence of mesh convergence.

The International Journal for Numerical Methods in Engineering publishes refereed papers describing significant developments in numerical methods that are applicable to engineering problems in solids, fluids, structures, fluid-structure interaction, nanotechnology, and multi-physics, multi-disciplinary and multi-scale problems. The Editors also encourage contributions in the areas of model reduction, uncertainty quantification, and verification and validation. Numerical examples that illustrate the methods or their accuracy are encouraged. However, papers dealing strictly with applications of existing methods or dealing with areas of research which are not cutting edge, as deemed by the editors, will not be considered for review. The journal publishes full-length papers, which should normally be less than 25 journal pages in length. Discussions of papers already in print are also considered. Two part papers will be discouraged unless considered necessary by the Editors.

The International Journal for Numerical Methods in Fluids publishes refereed papers describing significant developments in computational methods that are applicable and relevant to cutting edge scientific and engineering problems in fluid mechanics, fluid dynamics, micro and bio fluidics, and fluid-structure interaction. Numerical methods for solving ancillary equations, such as transport and advection and diffusion, are also relevant. The Editors encourage contributions in the areas of multi-physics, multi-disciplinary and multi-scale problems involving fluid subsystems, verification and validation, uncertainty quantification, and model reduction. Numerical examples that illustrate the described methods or their accuracy are in general expected. Discussions of papers already in print are also considered. Papers dealing strictly with applications of existing methods must clearly identify and demonstrate the novelty of the approach and, in addition, add to the body of knowledge of numerical methods in fluids. The journal publishes full-length papers, which should normally be less than 25 journal pages in length. Two-part papers are discouraged unless considered necessary by the Editors.

IJAIP fosters the exchange and dissemination of applications and case studies in the area of advanced intelligence paradigms among education and research professionals. The thrust of the journal is to publish papers dealing with the design, development, testing, implementation and management of advanced intelligent systems, and to provide guidelines in the development/management of these systems. IJAIP publishes archival articles and assessments of current trends, providing a medium for exchanging scientific research and technological achievements accomplished by the international community.

The International Journal of Algebra and Computation publishes high quality original research papers in combinatorial, algorithmic and computational aspects of algebra (including combinatorial and geometric group and semigroup theory, algorithmic aspects of universal algebra, computational and algorithmic commutative algebra), and gives a preference to papers in the areas of mathematics represented by the editorial board.