Journal Guide

Although there are many journals addressing the subject of image processing, the Journal of Real-Time Image Processing (JRTIP) is the only one that is solely dedicated to the real-time aspect of image and video processing. It is often the case that an image processing algorithm is developed and proven theoretically sound, presumably with a specific application in mind, but its practical applications and the detailed steps, methodology, and trade-off analysis required to achieve its real-time performance are never fully explored. JRTIP is thus intended to bridge the gap between the theory and practice of image and video processing, serving the greater community of researchers, practicing engineers, and industrial professionals who deal with designing, implementing or utilizing real-time image and video processing systems.

The real-time aspect is critical in many real-world devices or products such as mobile phones, digital still/video/cell-phone cameras, portable media players, personal digital assistants,

The Journal of Scheduling provides a global forum for the publication of all forms of scheduling research. It is the only peer reviewed journal with broad coverage of the techniques and applications of scheduling that spans several distinct disciplines. Readers facing complex scheduling problems can turn to the journal to find the latest advances in the field. Each issue features new and novel techniques, applications, theoretical issues, and innovative approaches to problems. The journal is designed to assist readers in computer science, discrete mathematics, operational research, engineering, management, artificial intelligence, construction, distribution, manufacturing, transportation, aerospace, and retail and service industries.Officially cited as: J Sched

Journal of Semantics aims to be the premier journal in semantics. It covers all areas in the study of meaning, with a focus on formal and experimental methods. The Journal welcomes submissions on semantics, pragmatics, the syntax/semantics interface, cross-linguistic semantics, experimental studies of meaning (processing, acquisition, neurolinguistics), and semantically informed philosophy of language.

The Journal of Web Semantics is an interdisciplinary journal based on research and applications of various subject areas that contribute to the development of a knowledge-intensive and intelligent service Web. These areas include: knowledge technologies, ontology, agents, databases and the semantic grid, obviously disciplines like information retrieval, language technology, human-computer interaction and knowledge discovery are of major relevance as well. All aspects of the Semantic Web development are covered. The publication of large-scale experiments and their analysis is also encouraged to clearly illustrate scenarios and methods that introduce semantics into existing Web interfaces, contents and services. The journal emphasizes the publication of papers that combine theories, methods and experiments from different subject areas in order to deliver innovative semantic methods and applications.The Journal of Web Semantics addresses various prominent application areas including: e-business, e-community, knowledge management, e-learning, digital libraries and e-sciences.The Journal of Web Semantics features a multi-purpose web site, which can be found at: http://www.semanticwebjournal.org/. Readers are also encouraged to visit the Journal of Web Semantics blog, at http://journalofwebsemantics.blogspot.com/ for more information and related links.The Journal of Web Semantics includes, but is not limited to, the following major technology areas:• The Semantic Web• Knowledge Technologies• Ontology• Agents• Databases• Semantic Grid and Peer-to-Peer Technology• Information Retrieval• Language Technology• Human-Computer Interaction• Knowledge Discovery• Web StandardsMajor application areas that are covered by the Journal of Web Semantics are:• eBusiness• eCommunity• Knowledge Management• eLearning• Digital Libraries• eScienceEach of these areas is covered by an area editor who supports the editors-in-chief. Furthermore, area editors manage the review process for submitted papers in the respective areas.The Journal of Web Semantics publishes four types of papers:• Research papers: Research papers are judged by originality, technical depth and correctness, as well as interest to our target readership. Research papers are recommended to have 15 - 25 pages in double column format.• Survey papers: We rarely accept survey papers, and beyond a sheer enumeration of relevant methods and systems, we expect a substantial technical insight to be gained by a survey paper. Survey papers are recommended to have 15 - 25 pages in double column format. • Ontology papers: We publish community-oriented description of ontology papers, if they generate interests from real-world users and semantic Web experts. Ontology papers are recommended to have 6 - 8 pages in double column format. Interested authors may here find a detailed Call-for-Ontology papers• System papers: Widely adopted semantic systems and systems that generate a far above average amount of interest in the Semantic Web community, may be explained in systems papers. Systems papers are recommended to have 6 - 8 pages in double column format.Shorter or longer papers are allowable, if the objectives of a paper warrant deviating length. Descriptions that are either unnecessarily short or long will negatively impact chances of acceptance.

The Journal of the ACM (JACM) provides coverage of the most significant work going on in computer science, broadly construed. It is a peer-reviewed journal, published six times a year by ACM.We publish original research papers of lasting value in computer science. To be accepted, a paper must be judged to be truly outstanding in its field and to be of interest to a wide audience. We are particularly interested in work at the boundaries, both the boundaries of subdisciplines of computer science and the boundaries between computer science and other fields.

In the development of multimodal interfaces, this journal offers a standard reference for multidisciplinary work.
As implied by the word Interfaces rather than Interactions in the title, the journal seeks to illustrate verifiable realisations over purely theoretical musings. The journal focuses on multimodal interfaces developed with an emphasis on user-centric design. Thus, usability and architectural considerations are also key targets.

Knowledge and Information Systems (KAIS) provides an international forum for researchers and professionals to share their knowledge and report new advances on all topics related to knowledge systems and advanced information systems. This bi-monthly peer-reviewed archival journal publishes state-of-the-art research reports on emerging topics in KAIS, reviews of important techniques in related areas, and application papers of interest to a general readership. The journal focuses on knowledge systems and advanced information systems, including their theoretical foundations, infrastructure and enabling technologies. We solicit submissions of original research, and experience and vision papers that address this theme. Suggested topics include, but are not limited to, the following areas: Knowledge and information processing: theory, techniques and systems knowledge and data engineering decision support active and dynamic systems data sharing and warehousing temporal and spatial database processing intelligent information retrieval learning and adaptation knowledge discovery and data mining artificial life modelling and object orientation software re-engineering co-operativeness, interoperability and software re-usability human-computer interaction hypertext, hypermedia and multimedia data and knowledge visualization Underlying computational techniques soft computing (including neural nets, fuzzy logic, probabilistic reasoning, and rough set theory) evolutionary computing hybrid computing uncertainty management agent architectures and systems (including multi-agent scenarios) Platforms high performance comp, uting systems distributed intelligent systems mobile systems Application to specific problem domains biomedical systems geographical systems software information systems emerging applications (such as Internet technologies and digital libraries) We publish critical review papers to discuss the state of the art in particular areas, as well as state-of-the-art research reports. Accepted papers are grouped for publication so that individual issues focus on a small number of theme areas. In addition to archival papers, the journal also publishes significant on-going research in the form of Short Papers (limited to 3000 words), and very short papers on 'visions and directions' (no more than 1000 words, excluding bibliography). We conduct reviews in a timely fashion and inform authors of decisions with a target turnaround time of 3 months. Selected papers from relevant conferences are welcome. Good papers with high quality reviews can be accepted after the expansion and revision is verified by an Associate Editor of the Editorial Board. Conference organizers are invited to contact the Editor-in-Chief kais@cs.uvm.edu for further information.

Knowledge-Based Systems is an international, interdisciplinary and applications-oriented journal. This journal focuses on systems that use knowledge-based (KB) techniques to support human decision-making, learning and action; emphases the practical significance of such KB-systems; its computer development and usage; covers the implementation of such KB-systems: design process, models and methods, software tools, decision-support mechanisms, user interactions, organizational issues, knowledge acquisition and representation, and system architectures.

This journal's current leading topics are but not limited to:

• Big data techniques and methodologies, data-driven information systems, and knowledge acquisition
• Cognitive interaction and intelligent human interfaces
• Recommender systems and E-service personalization
• Intelligent decision support systems, prediction systems and warning systems
• Computational and artificial intelligence based systems and uncertain information processes
• Swarm intelligence and evolutionary computing
• Knowledge engineering, machine learning-based systems and web semantics

The journal also welcomes papers describing novel applications of knowledge based systems in any human endeavor: ranging from financial technology to engineering to health science or any other domain impacted by Artificial Intelligence technologies and its associated techniques and systems.

To further the state of the art, Knowledge Based Systems now also reviews and publishes software and code through its new http://www.elsevier.com/about/content-innovation/original-software-publicationsOriginal Software Publication format to disseminate these important born digital knowledge elements.

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Stem cell research, cloning, GMOs ... How do regulations affect such emerging technologies? What impact do new technologies have on law? And can we rely on technology itself as a regulatory tool?

Machine Learning is an international forum for research on computational approaches to learning. The journal publishes articles reporting substantive results on a wide range of learning methods applied to a variety of learning problems. The journal features papers that describe research on problems and methods, applications research, and issues of research methodology. Papers making claims about learning problems or methods provide solid support via empirical studies, theoretical analysis, or comparison to psychological phenomena. Applications papers show how to apply learning methods to solve important applications problems. Research methodology papers improve how machine learning research is conducted. All papers describe the supporting evidence in ways that can be verified or replicated by other researchers. The papers also detail the learning component clearly and discuss assumptions regarding knowledge representation and the performance task.

Machine Learning: Earth is a multidisciplinary open access journal dedicated to the application of machine learning, artificial intelligence (AI) and data-driven computational methods across all areas of Earth, environmental and climate sciences including efforts to ensure a sustainable future. The journal publishes research reporting data-driven approaches that advance our knowledge of the Earth system, and of the interactions between biosphere, hydrosphere, cryosphere, atmosphere and geosphere. The journal also publishes research that presents methodological, theoretical, or conceptual advances in machine learning and AI with applications to Earth, environmental and climate science.

Machine Learning: Engineering is a multidisciplinary open access journal dedicated to the application of machine learning (ML), artificial intelligence (AI) and data-driven computational methods across all areas of engineering. The journal also publishes research that presents methodological, theoretical, or conceptual advances in machine learning and AI with applications to engineering.

Machine Learning: Health is a multidisciplinary open access journal dedicated to the application of machine learning, artificial intelligence (AI) and data-driven computational methods across healthcare and the medical, biological, clinical, and health sciences. The journal also publishes research that presents methodological, theoretical, or conceptual advances in machine learning and AI with applications to medicine and health sciences.

Machine Translation publishes original research papers on all aspects of MT, including (but not restricted to): - Statistical MT - Example-Based MT - Rule-Based MT - Hybrid MT - Spoken Language Translation - Discriminative MT - Evaluation in MT - MT Applications - Computer-Assisted Translation - Multilingual Corpus Resources - Tools for translators - The role of technology in translator training - MT and language teaching In addition, Machine Translation welcomes papers with a multilingual aspect from other areas of Computational Linguistics and Language Engineering, including: - text composition and generation - information retrieval - natural language interfaces - dialogue systems - message understanding systems - discourse phenomena - text mining - knowledge engineering - contrastive linguistics - morphology, syntax, semantics, pragmatics - computer-aided language instruction and learning - software localization and internationalization Machine Translation regularly focuses on issues of special interest, features a regular Book Review section, and welcomes other contributions of interest to the wide readership of the journal.

Sponsored by the International Association for Pattern Recognition, this journal publishes high-quality, technical contributions in machine vision research and development. Machine Vision and Applications features coverage of all applications and engineering aspects of image-related computing, including original contributions dealing with scientific, commercial, industrial, military, and biomedical applications of machine vision. The journal places particular emphasis on the engineering and technology aspects of image processing and computer vision. It includes coverage of the following aspects of machine vision applications: algorithms, architectures, VLSI implementations, AI techniques and expert systems for machine vision, front-END sensing, multidimensional and multisensor machine vision, real-time techniques, image databases, virtual reality and visualization.