Journal Guide

Computational Linguistics is the premiere publication devoted exclusively to the design and analysis of natural language processing systems. From this unique open access quarterly, university and industry linguists, computational linguists, artificial intelligence (AI) investigators, cognitive scientists, speech specialists, and philosophers get information about computational aspects of research on language, linguistics, and the psychology of language processing and performance.

Computer Speech & Language publishes reports of original research related to the recognition, understanding, production, coding and mining of speech and language.The speech and language sciences have a long history, but it is only relatively recently that large-scale implementation of and experimentation with complex models of speech and language processing has become feasible. Such research is often carried out somewhat separately by practitioners of artificial intelligence, computer science, electronic engineering, information retrieval, linguistics, phonetics, or psychology.The journal provides a focus for this work, and encourages an interdisciplinary approach to speech and language research and technology. Thus contributions from all of the related fields are welcomed in the form of reports of theoretical or experimental studies, tutorials, reviews, and brief correspondence pertaining to models and their implementation, or reports of fundamental research leading to the improvement of such models.Research Areas IncludeAlgorithms and models for speech recognition and synthesisNatural language processing for speech understanding and generationStatistical computational linguisticsComputational models of discourse and dialogueInformation retrieval, extraction and summarizationSpeaker and language recognitionComputational models of speech production and perceptionSignal processing for speech analysis, enhancement and transformationEvaluation of human and computer system performanceBenefits 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 central focus of this journal is the computer analysis of pictorial information. Computer Vision and Image Understanding publishes papers covering all aspects of image analysis from the low-level, iconic processes of early vision to the high-level, symbolic processes of recognition and interpretation. A wide range of topics in the image understanding area is covered, including papers offering insights that differ from predominant views.Research Areas Include:• Theory• Early vision• Data structures and representations• Shape• Range• Motion• Matching and recognition• Architecture and languages• Vision systemsBenefits 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

Connection Science is an interdisciplinary scientific and technical journal that has, since 1989, been a focus for research on connectionist modelling and neural network learning in both living and artificial systems with an emphasis on cognition and AI. Papers on these traditional themes are still strongly encouraged. However, in 2002, in response to exciting new work in evolutionary methods and adaptive robotics, its scope was broadened to include computational research on all biologically inspired adaptive mechanisms as well as all areas of biologically inspired robotics research. Papers submitted to the journal may be of a practical nature including, but not restricted to, new adaptive methods, novel implementations of existing methods as well as empirical work that has a strong modelling or theoretical component in psychology, biology, neuroscience or biologically inspired robotics. Submissions may also be theoretical or philosophical. Review papers are welcomed and authors are encouraged to consult with the Editor-in-Chief if they are considering a submission. Disclaimer Taylor & Francis makes every effort to ensure the accuracy of all the information (the 'Content') 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.

This journal provides a common forum for the many disciplines interested in constraint programming and constraint satisfaction and optimization, and the many application domains in which constraint technology is employed. It covers all aspects of computing with constraints, including: theory and practice, algorithms and systems, reasoning and programming, logics and languages. Relevant disciplines and application domains include, but are not limited to: Disciplines: artificial intelligence, automated reasoning, combinatorial algorithms, databases, discrete mathematics, operations research, programming languages, satisfiability and computational logic. Domains: agents, bioinformatics, design and configuration, graphics, visualization, user interfaces, human-computer interaction and decision support, robotics, machine vision and computational linguistics, scheduling, planning, resource allocation, temporal and spatial reasoning. Officially cited as: Constraints

Cybernetics and Systems serves as an international forum for the publication of the latest developments in cybernetics. The journal exposes scientists from diverse disciplines to important new methods in cybernetics, while drawing attention to novel applications of these methods to problems from many areas of research. Strictly refereed contributions present original research based on empirical verification, spanning a broad range of interests, from artificial intelligence to economics. Publication office: Taylor & Francis, Inc., 325 Chestnut Street, Suite 800, Philadelphia, PA 19106.

Database Systems and Knowledgebase Systems share many common principles. Data & Knowledge Engineering (DKE) stimulates the exchange of ideas and interaction between these two related fields of interest. DKE reaches a world-wide audience of researchers, designers, managers and users. The major aim of the journal is to identify, investigate and analyze the underlying principles in the design and effective use of these systems. DKE achieves this aim by publishing original research results, technical advances and news items concerning data engineering, knowledge engineering, and the interface of these two fields.DKE covers the following topics:1. Representation and Manipulation of Data & Knowledge: Conceptual data models. Knowledge representation techniques. Data/knowledge manipulation languages and techniques.2. Architectures of database, expert, or knowledge-based systems: New architectures for database / knowledge base / expert systems, design and implementation techniques, languages and user interfaces, distributed architectures.3. Construction of data/knowledge bases: Data / knowledge base design methodologies and tools, data/knowledge acquisition methods, integrity/security/maintenance issues.4. Applications, case studies, and management issues: Data administration issues, knowledge engineering practice, office and engineering applications.5. Tools for specifying and developing Data and Knowledge Bases using tools based on Linguistics or Human Machine Interface principles.6. Communication aspects involved in implementing, designing and using KBSs in Cyberspace.Plus... conference reports, calendar of events, book reviews etc.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 premier technical publication in the field, Data Mining and Knowledge Discovery is a resource collecting relevant common methods and techniques and a forum for unifying the diverse constituent research communities. The journal publishes original technical papers in both the research and practice of data mining and knowledge discovery, surveys and tutorials of important areas and techniques, and detailed descriptions of significant applications. Coverage includes: - Theory and Foundational Issues - Data Mining Methods - Algorithms for Data Mining - Knowledge Discovery Process - Application Issues.

Decision Support Systems welcomes contributions on the concepts and operational basis for DSSs, techniques for implementing and evaluating DSSs, DSS experiences, and related studies. In treating DSS topics, manuscripts may delve into, draw-on, or expand such diverse areas as artificial intelligence, cognitive science, computer supported cooperative work, data base management, decision theory, economics, linguistics, management science, mathematical modeling, operations management psychology, user interface management systems, and others. The common thread of articles published in the journal will be their relevance to theoretical, technical DSS issues.Authors planning to submit papers to the journal should ensure that their work is relevant to the topics normally considered to be part of the field of decision support systems.The Journal's research papers tend to fall into the following six topic departments:1. DSS Foundations e.g. DSS principles, concepts, and theories; frameworks, formal languages, and methods for DSS research; tutorials about the nature of DSS; assessments of the DSS field.2. DSS Development-Functionality e.g. methods, tools, and techniques for developing the underlying functional aspects of a DSS; solver/model management; data management in DSSs; rule management and AI in DSSs; coordinating a DSS's functionality within its user interface.3. DSS Development-Interfaces e.g. methods, tools, and techniques for developing the overt user interface of a DSS; managing linguistic, presentation, and user knowledge in a DSS; DSS help facilities; coordinating a DSS's interface events with its functionality events.4. DSS Impacts and Evaluation e.g. DSS economics; DSS measurement; DSS impacts on individual users, multiparticipant users, organizations, and societies; evaluating/justifying DSSs.5. DSS Reference Studies e.g. reference discipline tutorials for DSS researchers; emerging technologies relevant to DSS characteristics or DSS development; related studies on such topics as communication support systems, computer supported cooperative work, negotiation support systems, research support systems, task support systems.6. DSS Experiences, Management, and Education e.g. experiences in developing or operating DSSs; systems solutions to specific decision support needs; approaches to managing DSSs; DSS instruction/training approaches.

Design Studies is the only peer reviewed journal to approach the understanding of design processes from comparisons across all domains of application, including engineering and product design, architectural and urban design, computer artefacts and systems design. It therefore provides a unique forum for the analysis, development and discussion of fundamental aspects of design activity, from cognition and methodology to values and philosophy. The journal publishes new research and scholarship concerned with the process of designing, and in principles, procedures and techniques relevant to the practice and pedagogy of design.As design increases in complexity and in its social, cultural and economic importance, it is vital for researchers, educators and practising designers to stay abreast of the latest research and new ideas in this rapidly growing field; with its interdisciplinary coverage, Design Studies meets these needs with maximum effect.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.comDesign Studies is a peer reviewed journal published in cooperation with the Design Research Society. To see the peer review policy of Design Studies please visit http://cdn.elsevier.com/promis_misc/JDST_Peer_Review_Policy.pdf

Digital Discovery welcomes both experimental and computational work on all topics related to the acceleration of discovery such as screening, robotics, databases and advanced data analytics, broadly defined, but anchored in chemistry. The journal welcomes Artificial intelligence and data science methodologies for chemical, materials science, biochemical, biomedical or biophysical sciences including Computer-assisted retrosynthesis, Generative models for scientific design, Machine learning classification and regression models, Modern molecular, materials, and biological representations, Methods for Bayesian optimization and design of experiments, Advances and applications of interpretable models, Image recognition, Natural language processing, Literature mining tools, Advanced data workflows, Advances in robotics for science, Experimental control software, Databases, New robotic setups, New automated sensors, Novel synthetic methodologies and workflows, High-throughput computational science, Directed or accelerated evolution, DNA Encoded Library Technology, Cryptochemistry, and Blockchain-enabled science.

EES Batteries is a premier journal, publishing exceptional battery and energy storage focused research. Delivering the same influence and reputation for quality which researchers associate with companion journal Energy & Environmental Science, EES Batteries is strongly interdisciplinary, welcoming influential, high impact and quality research across all scientific disciplines including chemistry, physics, materials science, engineering, computational/theoretical studies, and policy.

Exceptional research of significant and notable interest to the batteries research communities is welcomed. This includes but is not limited to:

• New battery concepts, materials, and systems
• Battery electrochemistry
• Electrode materials and composites
• Battery interfaces and interphases
• Advanced characterization tools and techniques
• Modelling, simulation and theoretical studies
• AI empowered battery science, technologies, and applications
• System integrations and applications with batteries
• Battery manufacturing, recycling, and scalability
• Safety, stability, and performance optimization
• Policy work and technoeconomic analyses

Research related to batteries in conjunction with fuel cells, supercapacitors, or capacitors is also within the scope of the journal.

EES Solar is a premier interdisciplinary journal dedicated to publishing high-impact research focused on solar energy and photovoltaics. Building on the reputation of companion journal Energy & Environmental Science for high quality and influence, EES Solar aims to be a leading publication for groundbreaking studies that span a wide range of scientific disciplines, all connected by the thread of solar. The journal welcomes studies and analyses at all scales, from groundbreaking fundamental advances to interdisciplinary research across chemistry, physics, materials science, engineering, theory, and policy and technoeconomic analyses, for advancing the field of solar energy. Research that utilizes green materials and sustainable practices, championing developments that minimize environmental impact while achieving high performance is particularly encouraged.

EES Solar is the home for exceptional research that pushes the boundaries of solar research and its applications. This includes, but is not limited to:
• Solar cell and photovoltaic research
• Solar fuels and artificial photosynthesis
• Photocatalysts for energy and environmental applications
• Photothermal and photoelectrochemical solar energy conversion
• Photonics
• Light-matter interaction and spectroscopy
• Photovoltaic system design, solar power systems, and integration
• Modelling, simulation, and theoretical studies including AI and machine learning
• Policy work and technoeconomic analyses

The Egyptian Informatics Journal is published by the Faculty of Computers and Information, Cairo University. This Journal provides a forum for the state-of-the-art research and development in the fields of computing, including computer sciences, information technologies, information systems, operations research and decision support. Innovative and not-previously-published work in subjects covered by the Journal is encouraged to be submitted, whether from academic, research or commercial sources.

Energy & Environmental Science is an international journal dedicated to publishing exceptionally important and high quality, agenda-setting research tackling the key global and societal challenges of ensuring the provision of energy and protecting our environment for the future. The scope is intentionally broad and the journal recognises the complexity of issues and challenges relating to energy conversion and storage, alternative fuel technologies and environmental science. For work to be published it must be linked to the energy-environment nexus and be of significant general interest to our community-spanning readership. All scales of studies and analysis, from impactful fundamental advances, to interdisciplinary research across the (bio)chemical, (bio/geo)physical sciences and chemical engineering disciplines are welcomed.

Artificial Intelligence (AI) techniques are now being used by the practicing engineer to solve a whole range of hitherto intractable problems. This journal provides an international forum for rapid publication of work describing the practical application of AI methods in all branches of engineering.Focal points of the journal include, but are not limited to innovative applications of:• Real-time intelligent automation, and their associated supporting methodologies and techniques, including control theory and industrial informatics,• Architectures, algorithms and techniques for distributed AI systems, including multi-agent based control and holonic control,• Decision-support systems,• Aspects of reasoning: abductive, case-based, model-based, non-monotonic, incomplete, progressive and approximate reasoning,• Applications of chaos theory and fractals,• Metaheuristics and their applications in intelligent automation: Genetic Algorithms, Ant Colony Optimization, Particle Swarm Optimization, etc.,• Knowledge processing, knowledge elicitation and acquisition, knowledge representation, knowledge compaction, knowledge bases, expert systems,• Neural networks, fuzzy systems, neuro-fuzzy systems,• Perception, e.g. image processing, pattern recognition, vision systems, tactile systems, speech recognition and synthesis,• Aspects of software engineering, e.g. intelligent programming environments, verification and validation of AI-based software, software and hardware architectures for the real-time use of AI techniques, safety and reliability,• Intelligent fault detection, fault analysis, diagnostics and monitoring,• Self-organizing, emerging or bio-inspired system,• Industrial experiences in the application of the above techniques, e.g. case studies or benchmarking exercises.Engineering Applications of Artificial Intelligence publishes:• Survey papers/tutorials.• Contributed papers — detailed expositions of new research or applications.• Case studies or software reviews — evaluative and descriptive reviews of existing available AI software systems, discussing the experience gained and lessons learnt from using or developing AI systems for engineering applications.• IFAC EAAI Forum — problems arising from engineering practice, needing to be solved by somebody; solutions to problems discussed in this forum or elsewhere; critiques of a position or claim found in the literature.For more details on the International Federation of Automatic Control (IFAC), visit their home page at http://www.ifac-control.org