Journal Guide

A journal for state-of-the-art theory and application on robotic intelligence and automation.

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.

Robotics and Autonomous Systems will carry articles describing fundamental developments in the field of robotics, with special emphasis on autonomous systems. An important goal of this journal is to extend the state of the art in both symbolic and sensory based robot control and learning in the context of autonomous systems.Robotics and Autonomous Systems will carry articles on the theoretical, computational and experimental aspects of autonomous systems, or modules of such systems.Application environments of interest include industrial, outdoor and outer space where advanced robotic techniques are required for autonomous systems to accomplish goals without human intervention; this includes robotics for hazardous and hostile environments.Robotics and Autonomous Systems will carry brief reports on international meetings in the field, as well as an occasional multi-author debate on current topics of interest. Forthcoming meetings of importance will be listed.In more detail, the journal will cover the following topics:• Symbol mediated robot behavior control;• Sensory mediated robot behavior control;• Active sensory processing and control;• Industrial applications of autonomous systems;• Sensor modeling and data interpretation e.g. models and software for sensor data integration, 3D scene analysis, environment description and modeling, pattern recognition;• Robust techniques in AI and sensing e.g. uncertainty modeling, graceful degradation of systems;• Robot programming e.g. on-line and off-line programming, discrete event dynamical systems, fuzzy logic;• CAD-based robotics e.g. CAD-based vision, reverse engineering;• Robot simulation and visualization tools;• Tele-autonomous systems;• Micro electromechanical robots;• Robot control architectures;• Robot planning, adaptation and learning.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

The SIAM Journal on Imaging Sciences covers all areas of imaging sciences, broadly interpreted. It includes image formation, image processing, image analysis, image interpretation and understanding, computer graphics and visualization, and inverse problems in imaging; leading to applications to diverse areas in science, medicine, engineering, and other fields. Formal approaches, at the level of mathematics and/or computations, as well as state-of-the-art practical results, are expected from manuscripts published in SIIMS. SIIMS provides a broad authoritative source for fundamental results in imaging sciences, with a unique combination of mathematics and applications. SIIMS is mathematically and computationally based, and offers a unique forum to highlight the commonality of methodology, models, and algorithms among diverse application areas of imaging sciences.Authors are encouraged to exploit the endless possibilities of an electronic publication with the use of color, animations, video, presentations, and additional supplementary material as detailed in the instructions for authors. SIIMS provides cross-referencing with the peer-reviewed journal Image Processing On Line (IPOL). We encourage authors to submit their algorithm description and software to IPOL in order to increase the visibility of their work and the potential for collaboration between researchers.Research papers that innovate both in the fundamentals and in the applications are especially welcome. SIIMS focuses on conceptually new ideas, methods, and fundamentals as applied to all aspects of imaging sciences.

Soft Computing is dedicated to system solutions based on soft computing techniques. It provides rapid dissemination of important results in soft computing technologies, a fusion of research in evolutionary algorithms and genetic programming, neural science and neural net systems, fuzzy set theory and fuzzy systems, and chaos theory and chaotic systems. Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. By linking the ideas and techniques of soft computing with other disciplines, the journal serves as a unifying platform that fosters comparisons, extensions, and new applications. As a result, the journal is an international forum for all scientists and engineers engaged in research and development in this fast growing field. Indexed by Science Citation Index, Inspec, Compendex, DBLP, Computer Science Index, Current Abstracts, Current Contents, EBSCO host, IngentConnect, MetaPress, Springerlink, OCLC, SCOPUS, Ulrich´s, Zentralblatt Mat

Sustainable Energy & Fuels publishes high quality scientific research that will drive the development of sustainable energy technologies, with a particular emphasis on innovative concepts and approaches. The journal is an essential resource for energy researchers and cuts across chemistry and its interfaces with materials science, physics and biology – covering evolving and emerging areas such as the following: • Solar energy conversion including photovoltaics and artificial photosynthesis • Energy storage including batteries, flow batteries and supercapacitors • Catalysis for energy technologies, including the sustainable synthesis of fuels and chemicals, and molecular/bioinspired catalysis • Electrocatalysis, photocatalysis and thermal catalysis • Fuel cells • Hydrogen production, storage and distribution • Carbon dioxide utilisation, including fuels and chemicals from carbon dioxide • Biorefining and Biofuels • Capacitive desalination and desalination batteries • Other sustainable energy conversion technologies including thermochemical, piezoelectric and thermoelectric materials and devices Energy science and technologies that avoid the use of critical raw elements or detrimental environmental effects during preparation, manufacture and end-of-life are particularly encouraged.

Swarm Intelligence is the principal peer reviewed publication dedicated to reporting research and new developments in this multidisciplinary field. The journal publishes original research articles and occasional reviews on theoretical, experimental, and practical aspects of swarm intelligence. It offers readers reports on advances in the understanding and utilization of systems that are based on the principles of swarm intelligence. Emphasis is given to such topics as the modeling and analysis of collective biological systems; application of biological swarm intelligence models to real-world problems; and theoretical and empirical research in ant colony optimization, particle swarm optimization, swarm robotics, and other swarm intelligence algorithms. Articles often combine experimental and theoretical work.

Introduction:To tackle complex real world problems, scientists have been looking into natural processes and creatures - both as model and metaphor - for years. Optimization is at the heart of many natural processes including Darwinian evolution, social group behavior and foraging strategies. Over the last few decades, there has been remarkable growth in the field of nature-inspired search and optimization algorithms. Currently these techniques are applied to a variety of problems, ranging from scientific research to industry and commerce. The two main families of algorithms that primarily constitute this field today are the evolutionary computing methods and the swarm intelligence algorithms. Although both families of algorithms are generally dedicated towards solving search and optimization problems, they are certainly not equivalent, and each has its own distinguishing features. Reinforcing each other's performance makes powerful hybrid algorithms capable of solving many intractable search and optimization problems.About the journal:Swarm and Evolutionary Computation is the first peer-reviewed publication of its kind that aims at reporting the most recent research and developments in the area of nature-inspired intelligent computation based on the principles of swarm and evolutionary algorithms. It publishes advanced, innovative and interdisciplinary research involving the theoretical, experimental and practical aspects of the two paradigms and their hybridizations. Swarm and Evolutionary Computation is committed to timely publication of very high-quality, peer-reviewed, original articles that advance the state-of-the art of all aspects of evolutionary computation and swarm intelligence. Survey papers reviewing the state-of-the-art of timely topics will also be welcomed as well as novel and interesting applications.Topics of Interest:Topics of interest include but are not limited to: Genetic Algorithms, and Genetic Programming, Evolution Strategies, and Evolutionary Programming, Differential Evolution, Artificial Immune Systems, Particle Swarms, Ant Colony, Bacterial Foraging, Artificial Bees, Fireflies Algorithm, Harmony Search, Artificial Life, Digital Organisms, Estimation of Distribution Algorithms, Stochastic Diffusion Search, Quantum Computing, Nano Computing, Membrane Computing, Human-centric Computing, Hybridization of Algorithms, Memetic Computing, Autonomic Computing, Self-organizing systems, Combinatorial, Discrete, Binary, Constrained, Multi-objective, Multi-modal, Dynamic, and Large-scale Optimization.Applications:Furthermore, the journal fosters industrial uptake by publishing interesting and novel applications in fields and industries dealing with challenging search and optimization problems from domains such as (but not limited to): Aerospace, Systems and Control, Robotics, Power Systems, Communication Engineering, Operations Research and Decision Sciences, Financial Services and Engineering, (Management) Information Systems, Business Intelligence, internet computing, Sensors, Image Processing, Computational Chemistry, Manufacturing, Structural and Mechanical Designs, Bioinformatics, Computational Biology, Mathematical and Computational Psychology, Cognitive Neuroscience, Brain-computer Interfacing, Future Computing Devices, Nonlinear statistical and Applied Physics, and Environmental Modeling and Software.

Systems Science & Control Engineering is a world-leading fully open access journal covering all areas of theoretical and applied systems science and control engineering.

The journal encourages the submission of original articles, reviews and short communications in areas including, but not limited to:

Proposals for special issues are encouraged, and should be discussed with the Executive Editor.

All submitted manuscripts are subject to initial appraisal by the Executive Editor, and, if found suitable for further consideration, to rigorous and rapid peer review by independent, anonymous expert referees. All peer review is double blind and submission is online via ScholarOne Manuscripts.

As part of the  Taylor & Francis Open Access programme authors receive immediate, universal access to articles; rapid online publication; flexible licensing options; high-quality production values; fair pricing and discounts and waivers for authors in low-income countries.

To support Open Access, accepted articles will be subject to an article publishing fee of $750 (GBP £470, EUR €625).

Queries regarding submissions can be made by contacting the Executive Editor, whose decision is final.

Taylor & Francis is a member of the Committee of Publications Ethics (COPE) . Taylor & Francis is committed to peer review integrity and upholding the highest standards of review in our journals. To help us maintain these high standards, we provide guidelines for ethical publishing. Click  here for more details

AI Communications is a journal on Artificial Intelligence (AI) which has a close relationship to ECCAI (the European Coordinating Committee for Artificial Intelligence). It covers the whole AI community: scientific institutions as well as commercial and industrial companies. AI Communications aims to enhance contacts and information exchange between AI researchers and developers, and to provide supranational information to those concerned with AI and advanced information processing. AI Communications publishes refereed articles concerning scientific and technical AI procedures, provided they are of sufficient interest to a large readership of both scientific and practical background. In addition it contains high-level background material, both at the technical level as well as the level of opinions, policies and news. The Editorial and Advisory Board is appointed by the Editor-in-Chief.

Topics in Cognitive Science (topiCS) is an innovative new journal that covers all areas of cognitive science including cognitive modeling, cognitive neuroscience, cognitive anthropology, and cognitive science and philosophy. topiCS aims to provide a forum for:.