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.
Machines (ISSN 2075-1702) is an international, peer-reviewed journal on machinery and engineering. It publishes research articles, reviews, short communications and letters. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. Full experimental and/or methodical details must be provided. There are, in addition, unique features of this journal: manuscripts regarding research proposals and research ideas will be particularly welcomed electronic files or software regarding the full details of the calculation and experimental procedure - if unable to be published in a normal way - can be deposited as supplementary material
Machining Science and Technology publishes original scientific and technical papers and review articles on topics related to machining and traditional and nontraditional machining processes performed on all materials-metals, polymers, ceramics, and composites. In addition, this high-quality journal covers novel concepts for machining of advanced materials; measurement of surface quality and metrology including detection and characterization of machining damage; special cutting tools, coated inserts, new grinding wheels, special coolants, and cutting fluids; and design and implementation of in-process sensors for monitoring and control of surface quality and integrity. Publication office: Taylor & Francis, Inc., 325 Chestnut Street, Suite 800, Philadelphia, PA 19106.
Macroeconomics and Finance in Emerging Market Economies aims to be a definitive source of information for economists, bankers and financial experts and a forum where they can learn from each other. In addition to providing strong analysis and independent evaluation of current economic trends, this international journal offers practical advice, useful information and specific application recommendations. All of this supports high quality, peer-reviewed articles by skilled academics, industry experts and users on all aspects of money and finance.Macroeconomics and Finance in Emerging Market Economies invites original research contributions on all aspects of macroeconomics and finance and their interaction. Potential topics include growth, microfoundations of macroeconomics, monetary, exchange rate and fiscal policy in an open economy, currency and financial crises, regulation, banking, capital and forex markets, corporate finance and governance. Rapid opening out, changes in financial flows, and evolving markets and regulation in emerging economies pose valuable research questions for which this international journal provides a forum. Theoretical and empirical papers of diverse yet rigorous methodologies are welcome. We are particularly interested in papers that are conceptually innovative and relevant in the context of emerging economies. Contributions by academics, industry analysts, as well as policy makers are solicited in order to provide alternative perspectives and an unbiased assessment of current trends for a wide variety of users.
Macromolecular Bioscience is a leading journal at the intersection of polymer and materials sciences with life science and medicine. Celebrating its 10th birthday in 2010 the journal is ranked among the top 5 biomaterials journals and is listed among the top 10 polymer journals, with a 2009 ISI Impact Factor of 3.108. Macromolecular Bioscience offers an attractive mixture of high-quality Reviews, Feature Articles, Communications, and Full Papers. Macromolecular Bioscience also includes Book Reviews, Essays, and Conference Reports. With average publication times of 4 months and listing in major indices, including Medline, Macromolecular Bioscience is the journal of choice for your best contributions at the intersection of polymer and life sciences.
Macromolecular Chemistry and Physics combines the longest tradition in the field of polymer science with the publication of newest results, latest trends, and their critical evaluation. It offers an attractive mixture of high-quality Full Papers, Talents, Trends, and Highlights in all areas of polymer science -from chemistry to physical chemistry and materials science. The journal also includes Book Reviews, Essays, Macromolecular News, and Conference Reports. Macromolecular Chemistry and Physics was founded in 1943 by Hermann Staudinger, who received the Nobel Prize in 1953 for his pioneering work in proving the existence of macromolecules. With an again increased 2009 Impact Factor of 2.570, MCP is among the top-10 of journals publishing original research in polymer science, making Macromolecular Chemistry and Physics the journal of choice for your best original research articles. Special Series.
Macromolecular Materials and Engineering is the high-quality polymer science journal dedicated to the design, modification, characterization, and processing of advanced polymeric materials. With a 2009 Impact Factor of 1.742 it is ranked among the top journals publishing original research in polymer science. As stated by Professor Rolf Mulhaupt, member of the Executive Advisory Board, 'Macromolecular Materials and Engineering provides a very effective platform for scientific exchange in the multidisciplinary field of advanced materials research on engineering polymers as well as tailor-made functional polymer systems and new polymer additives'. The journal presents strictly peer-reviewed Feature Articles/Reviews, Full Papers and Communications. It also includes Book Reviews, Essays, Macromolecular News and Conference Reports. Special Issues.
Macromolecular Rapid Communications is one of the most cited journals publishing original research in general macromolecular science, from chemistry and physics of polymers to polymers in materials science and life sciences. The journal ranks #2 among all journals primarily devoted to original research in general polymer science. With a further increased Impact Factor of 4.263 (2009) and average publication times of 3 months from submission to online publication Macromolecular Rapid Communications is your journal of choice for fast publication of high priority results. Special Series.
Macromolecular Reaction Engineering is the only high-quality journal dedicated exclusively to academic and industrial research in the field of polymer reaction engineering. Following last year's excellent first rating, MRE recently could further increase its Impact Factor by 40% to the 2009 value of 1.488. The journal presents strictly peer-reviewed Feature Articles/Reviews, Full Papers and Communications. It also includes Book Reviews, Essays, Macromolecular News and Conference Reports.