Journal Guide

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.

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.

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.

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Manufacturing Letters, an official journal of the The Society of Manufacturing Engineers (SME), in cooperation with the North American Manufacturing Research Institution of the Society of Manufacturing Engineers (NAMRI/SME), is an online, rapid-publication journal providing a home for short, high-quality papers from the international academic and industry community on important advances from all interdisciplinary research areas impacting manufacturing.The journal promotes an exchange of ideas and communicates significant developments of immediate interest to others engaged in formative research that contributes to progress in manufacturing techniques, models, processes, and systems.Original concise papers are encouraged describing new kinds of manufacturing based on new processes or materials, new concepts in manufacturing systems or enterprises, or novel ways to look at old problems and solutions in manufacturing that show promise. Papers merit acceptance, for example, by detailing the key elements of an emerging field of research, describing the potential of an experimental or theoretical improvement, or demonstrating a new contribution to practice or policy. Papers should not merely confirm or extend previous work.To meet a vital need to rapidly disseminate current scientific findings, Manufacturing Letters uses a streamlined review process. Papers are peer reviewed and (1) accepted as written or (2) rejected within four (4) weeks of submission. Rejected papers can be revised but must be resubmitted as new manuscripts.Papers are limited to 1500 words, not including the abstract, references, and a maximum of four (4) figures or tables. Papers must be original contributions, not simultaneously submitted elsewhere, previously published or scheduled to be published. The language of the journal is English.Emerging research communicated in Manufacturing Letters is presumed to be ongoing; therefore, authors are encouraged to submit a full-length journal paper to an appropriate publication outlet, such as the Journal of Manufacturing Systems or Journal of Manufacturing Processes.