Journal Guide

Networks and Spatial Economics (NETS) is devoted to the mathematical and numerical study of economic activities facilitated by human infrastructure. The range of topics is broadly defined to include technologies pertinent to information, telecommunications, the Internet, transportation, energy storage and transmission, and water resources. The journal publishes a full spectrum of high quality work in networks and spatial economics including theoretical studies, case studies and algorithmic investigations, as well as manuscripts that combine these aspects. Although not devoted exclusively to theoretical studies, the journal is 'theory-friendly'.Officially cited as: Netw Spat Econ

Neural Computation disseminates important, multidisciplinary research in a field that attracts psychologists, physicists, computer scientists, neuroscientists, and artificial intelligenceinvestigators, among others. For researchers looking at the scientific and engineering challenges of understanding the brain and building computers, Neural Computation highlights common problems and techniques in modeling the brain, and in the design and construction of neurally-inspired information processing systems.

Neural Computing & Applications is an international journal which publishes original research and other information in the field of practical applications of neural computing and related techniques such as genetic algorithms, fuzzy logic and neuro-fuzzy systems.All items relevant to building practical systems are within its scope, including contributions in the area of applicable neural networks theory, supervised and unsupervised learning methods, algorithms, architectures, performance measures, applied statistics, software simulations, hardware implementations, benchmarks, system engineering and integration and case histories of innovative applications.Featured contributions fall into several categories: Original Articles, Review Articles, Forum Presentations, Book Reviews, Announcements and NCAF News.The Original Articles will be high-quality contributions, representing new and significant research, developments or applications of practical use and value. They will be reviewed by at least two referees. T

Neural Networks is the archival journal of the world's three oldest neural modeling societies: the International Neural Network Society (INNS), the European Neural Network Society (ENNS), and the Japanese Neural Network Society (JNNS). A subscription to the journal is included with membership in each of these societies.Neural Networks provides a forum for developing and nurturing an international community of scholars and practitioners who are interested in all aspects of neural networks and related approaches to computational intelligence. Neural Networks welcomes high quality submissions that contribute to the full range of neural networks research, from behavioral and brain modeling, learning algorithms, through mathematical and computational analyses, to engineering and technological applications of systems that significantly use neural network concepts and techniques. This uniquely broad range facilitates the cross-fertilization of ideas between biological and technological studies, and helps to foster the development of the interdisciplinary community that is interested in biologically-inspired computational intelligence. Accordingly, Neural Networkseditorial board represents experts in fields including psychology, neurobiology, computer science, engineering, mathematics, and physics. The journal publishes articles, letters and reviews, as well as letters to the editor, editorials, current events, software surveys, and patent information. Articles are published in one of five sections: Cognitive Science, Neuroscience, Learning Systems, Mathematical and Computational Analysis, Engineering and Applications.The journal is published twelve times a year. Neural Networks can be accessed electronically via Science Direct (http://www.sciencedirect.com/science/journal/08936080), which is used by over eight million individuals world-wide.Benefits to authorsWe also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com

Neural Processing Letters is an international journal publishing research results and innovative ideas on all aspects of artificial neural networks. Coverage includes theoretical developments, biological models, new formal modes, learning, applications, software and hardware developments, and prospective researches.The journal promotes fast exchange of information in the community of neural network researchers and users. The resurgence of interest in the field of artificial neural networks since the beginning of the 1980s is coupled to tremendous research activity in specialized or multidisciplinary groups. Research, however, is not possible without good communication between people and the exchange of information, especially in a field covering such different areas; fast communication is also a key aspect, and this is the reason for Neural Processing Letters.

Neurocomputing publishes articles describing recent fundamental contributions in the field of neurocomputing. Neurocomputing theory, practice and applications are the essential topics being covered.Neurocomputing welcomes theoretical contributions aimed at winning further understanding of neural networks and learning systems, including, but not restricted to, architectures, learning methods, analysis of network dynamics, theories of learning, self-organization, biological neural network modelling, sensorimotor transformations and interdisciplinary topics with artificial intelligence, artificial life, cognitive science, computational learning theory, fuzzy logic, genetic algorithms, information theory, machine learning, neurobiology and pattern recognition.Neurocomputing covers practical aspects with contributions on advances in hardware and software development environments for neurocomputing, including, but not restricted to, simulation software environments, emulation hardware architectures, models of concurrent computation, neurocomputers, and neurochips (digital, analog, optical, and biodevices).Neurocomputing reports on applications in different fields, including, but not restricted to, signal processing, speech processing, image processing, computer vision, control, robotics, optimization, scheduling, resource allocation and financial forecasting.Neurocomputing publishes reviews of literature about neurocomputing and affine fields.Neurocomputing reports on meetings, including, but not restricted to, conferences, workshops and seminars.Neurocomputing reports on functionality/availability of software, on comparative assessments, and on discussions of neurocomputing software issues.Now also including: Neurocomputing Letters - for the rapid publication of special short communications.

Parallel Computing is an international journal presenting the practical use of parallel computer systems, including high performance architecture, system software, programming systems and tools, and applications. Within this context the journal covers all aspects of high-end parallel computing.Parallel Computing features original research work, tutorial and review articles as well as novel or illustrative accounts of application experience with (and techniques for) the use of parallel computers. Contributions can cover:• System software for parallel computer systems including programming languages (new languages as well as compilation techniques), operating systems (including middleware), and resource management (scheduling and load-balancing).• Enabling software including debuggers, performance tools, and system and numeric libraries.• General hardware (architecture) concepts, new technologies enabling the realization of such new concepts, and details of commercially available systems• Software engineering and productivity as it relates to parallel computing• Application or tool case studies demonstrating novel ways to achieve parallelism• Performance measurement results on state-of-the-art systems• Approaches to effectively utilize large-scale parallel computing including new algorithms or algorithm analysis with demonstrated relevance to real applications using existing or next generation parallel computer architectures.• Parallel I/O systems both hardware and software• Networking technology for support of high-speed computing demonstrating the impact of high-speed computation on parallel applicationsBenefits to authorsWe also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com

This journal presents original research that describes novel pattern analysis techniques as well as industrial and medical applications. It details new technology and methods for pattern recognition and analysis in applied domains, including computer vision and image processing, speech analysis, robotics, multimedia, document analysis, character recognition, knowledge engineering for pattern recognition, fractal analysis, and intelligent control. Pattern Analysis and Applications (PAA) also examines the use of advanced methods, including statistical techniques, neural networks, genetic algorithms, fuzzy pattern recognition, machine learning, and hardware implementations which are either relevant to the development of pattern analysis as a research area or detail novel pattern analysis applications. The journal contains case-studies as well as reviews on benchmarks, evaluations of tools, and important research activities at international centers of excellence.

Pattern Recognition is the official journal of the Pattern Recognition Society. The Society was formed to fill a need for information exchange among research workers in the pattern recognition field. Up to now, we ''pattern-recognitionophiles'' have been tagging along in computer science, information theory, optical processing techniques, and other miscellaneous fields. Because this work in pattern recognition presently appears in widely spread articles and as isolated lectures in conferences in many diverse areas, the purpose of the journal Pattern Recognition is to give all of us an opportunity to get together in one place to publish our work. The journal will thereby expedite communication among research scientists interested in pattern recognition.We consider pattern recognition in the broad sense, and we assume that the journal will be read by people with a common interest in pattern recognition but from many diverse backgrounds. These include biometrics, target recognition, biological taxonomy, meteorology, space science, classification methods, character recognition, image processing, industrial applications, neural computing, and many others.The publication policy is to publish (1) new original articles that have been appropriately reviewed by competent scientific people, (2) reviews of developments in the field, and (3) pedagogical papers covering specific areas of interest in pattern recognition. Various special issues will be organized from time to time on current topics of interest to Pattern Recognition.Benefits to authorsWe also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com

Pattern Recognition Letters aims at rapid publication of concise articles of a broad interest in pattern recognition.Subject areas include all the current fields of interest represented by the Technical Committees of the International Association of Pattern Recognition, and other developing themes involving learning and recognition. Examples include:• Statistical, structural, syntactic pattern recognition;• Neural networks, machine learning, data mining;• Discrete geometry, algebraic, graph-based techniques for pattern recognition;• Signal analysis, image coding and processing, shape and texture analysis;• Computer vision, robotics, remote sensing;• Document processing, text and graphics recognition, digital libraries;• Speech recognition, music analysis, multimedia systems;• Natural language analysis, information retrieval;• Biometrics, biomedical pattern analysis and information systems;• Scientific, engineering, social and economical applications of pattern recognition;• Special hardware architectures, software packages for pattern recognition.We invite contributions as research reports or commentaries.Research reports should be concise summaries of methodological inventions and findings, with strong potential of wide applications.Alternatively, they can describe significant and novel applications of an established technique that are of high reference value to the same application area and other similar areas.Commentaries can be lecture notes, subject reviews, reports on a conference, or debates on critical issues that are of wide interests.To serve the interests of a diverse readership, the introduction should provide a concise summary of the background of the work in an accepted terminology in pattern recognition, state the unique contributions, and discuss broader impacts of the work outside the immediate subject area. All contributions are reviewed on the basis of scientific merits and breadth of potential interests.

Perceptionis a scholarly journal reporting experimental results and theoretical ideas ranging over the fields of human. animal. and machine perception. Topics covered include physiological mechanisms and clinical neurological disturbances; psychological data on pattern and object perception in animals and man; the role of experience in developing perception; skills. such as driving and flying; effects of culture on perception and aesthetics; errors. illusions. and perceptual phenomena occurring in controlled conditions. with emphasis on their theoretical significance; cognitive experiments and theories relating knowledge to perception; development of categories and generalisations; strategies for interpreting sensory patterns in terms of objects by organisms and machines; special problems associated with perception of pictures and symbols; verbal and nonverbal skills; reading; philosophical implications of experiments and theories of perception for epistemology. aesthetics. and art.

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Articles are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches. Topical coverage includes: • Spectroscopy • Dynamics • Kinetics • Statistical mechanics • Thermodynamics • Electrochemistry • Catalysis • Surface science • Quantum mechanics • Quantum computing • Machine learning • Polymers and soft matter • Materials • Quantum Materials • Nanoscience • Energy • Surfaces/interfaces • Biophysical chemistry • Atmospheric Chemistry • Astrochemistry

Physics of Life Reviews is an international journal appearing quarterly, that publishes review articles on physics of living systems, complex phenomena in biological systems, and related fields of artificial life, robotics, mathematical bio-semiotics, and artificial intelligent systems. This journal is a unifying force, going across the barriers between disciplines, addressing all living systems from molecules to populations and from genetics to mind and artificial systems modeling these phenomena. The journal invites reviews from actively working researchers, which are broad in scope, critical, accessible to our wide readership and addresses sometimes controversial accounts of recent progress and problems.Physics of Life Reviews intends to keep the active researcher abreast of developments on a wide range of topics by publishing timely reviews, which are more than mere literature surveys but normally less than a full monograph. Although most of the reviews will be of a specialist nature, each review should contain enough introductory material to make the main points intelligible to a non-specialist and to inspire and facilitate interdisiplinary research. The reviews should address in a clear way the most important conceptual issues in a field, review existing theories and methods with their achievements and drawbacks or difficulties versus the issues, unsolved problems addressed by a new theory, method, or approach, and why a significant progress is achieved or expected. Future research directions, remaining unsolved problems, and experimental confirmations or controversies should also be addressed.

Procedia Manufacturing is an open access journal focusing entirely on publishing high quality conference proceedings. Procedia Manufacturing enables fast dissemination of its content so that conference delegates can publish their papers in a dedicated online issue on Sciverse ScienceDirect under the Creative Commons license BY-NC-ND (for further details see our http://www.elsevier.com/about/open-access/open-access-policies/oa-license-policyopen access license policy.) Papers published on Procedia Manufacturing will be available online on ScienceDirect within 8 weeks of acceptance of the final manuscripts.

Procedia Manufacturing will publish papers from conferences on all important topics in the field of manufacturing engineering, including but not limited to manufacturing processes, systems and emerging topics in manufacturing, such as:

• Manufacturing process modeling
• Automation and robotics in manufacturing
• Sensing and control
• Manufacturing system design and operations
• Biomanufacturing
• Micro/nano manufacturing

Conference proceedings are accepted for publication in Procedia Manufacturing based on quality of the conference, its relevance to an international audience and timely and suitability of its scope. All proposals will be evaluated by the Editor-in-Chief and the editorial board, who, during the evaluation process, may make contact with members of the conference scientific committee and keynote speakers to obtain further information about the conference.

Proposals* should be prepared using the template /inca/publications/misc/PROMFGProposalform_6 May.pdfhere and sent to:

Dr. Prof. S. Jack Hu
Editor in Chief Procedia Manufacturing
jackhu@umich.edu

Dr. Gaia Lupo
Elsevier Publisher
ProcediaPCC@elsevier.com

*Please note that we do not accept proposals from individual authors for Procedia titles.

Additional Information
We are open to discuss even further collaboration, including but not limited to providing global organizational and administrative services, assisting with the setup of new multidisciplinary meetings. Feel free to contact Dr. Gaia Lupo for more information.

Robotics and Automation, Mechatronics, Artificial Intelligence (incl. Robotics), Control, Computational Intelligence

Robotics (ISSN 2218-6581) is a fully refereed international journal that presents the state-of-the-art research work in the area of robotics. It aims to provide an international forum to report latest developments from robotic systems, autonomous behaviours, multi-sensor fusion, learning algorithms, system modelling, control software, smart actuators, and human-machine interaction. Special emphasis is given to technology innovation and real-world applications. The main objective of Robotics is to establish an excellent channel of communication between experts in academic and research institutions, practitioners and professionals working in the industry, and policy makers.