Journals in Electromagnetics signal processing and communications

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ISA Transactions

• ISSN: 0019-0578
• 5 Year impact factor: 5.9
• Impact factor: 6.3

Published by the ISAISA Transactions is a journal of advances and state-of-the-art in the science and engineering of measurement and automation, of value to leading-edge industrial practitioners and applied researchers.The topics of measurement include: sensors, perception systems, analyzers, signal processing, filtering, data compression, data rectification, fault detection, inferential measurement, soft sensors, hardware interfacing, etc.; and any of the techniques that support them such as artificial intelligence, fuzzy logic, communication systems, and process analysis. The topics of automation include: statistical and deterministic strategies for discrete event and continuous process control, modelling and simulation, event triggers, scheduling and sequencing, system reliability, quality, maintenance, management, loss prevention, etc.; and any equipment, techniques and best practices that support them such as optimization, learning systems, strategy development, security, and human interfacing and training.The intended audience is research and development personnel from academe and industry in the fields of control systems, process instrumentation, systems, and automation.The journal seeks to bridge the theory and practice gap. This balance of interests requires simplicity of technique, credible demonstration, fundamental grounding, and connectivity to the state of the art in both theory and practice.If you would like more information please visit the ISA Transactions society homepageBenefits to authors We 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 Center

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Image and Vision Computing

• ISSN: 0262-8856
• 5 Year impact factor: 4.3
• Impact factor: 4.2

Image and Vision Computing has as a primary aim the provision of an effective medium of interchange for the results of high quality theoretical and applied research fundamental to all aspects of image interpretation and computer vision. The journal publishes work that proposes new image interpretation and computer vision methodology or addresses the application of such methods to real world scenes. It seeks to strengthen a deeper understanding in the discipline by encouraging the quantitative comparison and performance evaluation of the proposed methodology. The coverage includes: image interpretation, scene modelling, object recognition and tracking, shape analysis, monitoring and surveillance, active vision and robotic systems, SLAM, biologically-inspired computer vision, motion analysis, stereo vision, document image understanding, character and handwritten text recognition, face and gesture recognition, biometrics, vision-based human-computer interaction, human activity and behavior understanding, data fusion from multiple sensor inputs, image databases.In addition to regular manuscripts, Image and Vision Computing Journal solicits manuscripts for the Opinions Column, aimed at initiating a free forum for vision researchers to express their opinions on past, current, or future successes and challenges in research and the community.An opinion paper should be succinct and focused on a particular topic. Addressing multiple related topics is also possible if this helps making the point. While posing questions helps raising awareness about certain issues, ideally, an opinion paper should also suggest a concrete direction how to address the issues. Topics of interest include, but are not limited to:Comments on success and challenges in a (sub-) field of computer vision,Remarks on new frontiers in computer visionObservations on current practices and trends in research, and suggestions for overcoming unsatisfying aspectsObservations on current practices and trends in the community regarding, e.g., reviewing process, organizing conferences, how journals are run, and suggestions for overcoming unsatisfying aspectsReviews of early seminal work that may have fallen out of fashionSummaries of the evolution of one's line of researchRecommendations for educating new generations of vision researchers.The format of an opinion paper should comply with the existing formatting guidelines for the Image and Vision Computing Journal submissions, and should not exceed 2 pages.Months of publication: January/February, March, April, May, June, July/August, September, October, November and December.

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Measurement

• ISSN: 0263-2241
• 5 Year impact factor: 4.8
• Impact factor: 5.2

Journal of the International Measurement Confederation (IMEKO)Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material representing achievements in the field, whose ultimate goal is an enhancement of the state-of-the-art of subjects such as: measurement and metrology fundamentals, measurement science, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures for performance analysis of measurement systems, processes and algorithms, mathematical models for measurement-oriented purposes, and distributed measurement systems in a connected world.Notes:Papers including measurement results that, although important to validate any given scientific study but which offer no new insights in an area different from measurement science or technology, do not fall within the scope of this journal;The disciplined usage of well-known metrological terms is strongly required. Authors can access information on all relevant terms such as measurement accuracy, uncertainty, the law of propagation of uncertainty and other, similar terms: these are defined in internationally approved guidelines such as the International Vocabulary of Metrology (VIM) and Guide to the Expression of Uncertainty in Measurement (GUM), which are freely available on https://www.bipm.org/en/publications/guides/;The paper must clearly describe the measurement context in which the research was carried out by undertaking a critical review of the state-of-the-art of the relevant body of knowledge in instrumentation and measurement and by showing how the research presented advances it;The letter accompanying the submission must describe clearly how the paper satisfies the above requirements.Papers that focus on image processing or fault diagnosis with little or no elements of measurement science or technology will not be considered within the journal scope.Authors please note: The journal Measurement is receiving an increasing number of papers in the area of machine learning/neural networks and other techniques based on artificial intelligence. These submissions will be desk rejected unless they:prove that the described research advances the state-of-the-art in measurement science and is not just an application of an available tool to known or novel problems, that is used without an appreciation of measurement-related aspects;show that the usage of these tools is put into the correct measurement-related context and not just in the context of machine-learning/neural network applications;contain enough information about the used tools, data, and results to allow, in principle, anyone to replicate the described results;display the use of specific metrics to strengthen the results of research activities.It must be recalled that Measurement is interested in publishing new methods, techniques, procedures, algorithms, and alike that show how to better measure in nature and in the world. Thus, the capability to describe metrological-related details of the proposed research represents a major difference between papers published by this journal and by other journals publishing papers on similar topics. This major difference must be evident also in papers covering applications of machine learning and soft computing techniques. Failing to adhere to these guidelines will result in a paper desk-reject decision.Authors whose manuscripts focus on the research, development and application of the science, engineering and technology of sensors and sensor systems, are welcome to submit to the journal's open access companion title, Measurement: Sensors .Authors whose manuscripts focus on food and nutrition measurements may also wish to submit to the journal's second open access companion title, Measurement: Food.Authors whose manuscripts focus on energy sources, heat and power generation and all other relevant fields may be interested to submit to the journal's third open access companion title, Measurement: Energy.

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Measurement: Sensors

• ISSN: 2665-9174

Measurement: Sensors is an open access journal open to original, high-quality contributions from all relevant fields of this highly topical and multi-disciplinary subject.Measurement: Sensors is a companion journal to Measurement: Journal of the International Measurement Confederation (IMEKO) .The main aim of the journal is to provide rapid publication of topical papers featuring practical developments in the field, covering a wide range of application areas, and it will attract a readership from across the industrial and academic research spectrum. The journal seeks to publish progress in research with an emphasis both on both the applied and the theoretical aspects, bringing greater recognition to this important area of engineering.Submissions are invited on all aspects of the theory, research, development, manufacturing and applications of the science, engineering and technology of the highly interdisciplinary field that comprises sensors and sensor systems today. Authors are encouraged to submit novel material on this field which could include the results of research including simulation and experimental work, which may deal with practical or new industrial applications related to innovative sensors, or discuss new developments in sensor design, including modelling, and the applications of sensors to novel research in different areas of instrumentation.Thus, the fields of interest include (but are not limited to):Sensors and sensor systemsSensors: materials and their application in sensor systemsSensor types: — optical; — ultrasonic and acoustic; — chemical; — physical sensors of all types e.g. pressure, temperature, flow etc; — biochemical; — biosensors; — sensors in biomedical science and engineering; — radiation sensors; — sensing in the liquid and gas phasesSensor connectivity and sensor networksActuatorsSensors and software including — Sensor simulation and modelling; — Sensors for hazardous environments e.g. due to high temperature, radiation, space, acidic and other challenging environments; — Sensors in Industry 4.0 and the Digital Twin; — Sensor signal and data processing; — Sensor data fusion; — Sensors and machine learning and AISensor Applications in industry including — All aspects of sensor use and evaluation in industry including sensor packaging, sensor durability and long term testing and evaluationEducation and training in sensors and sensor systemsHealth and safety aspects of the use of sensor systemsMeasurement: Sensors publishes the following types of papers, all of which are fully peer reviewed:Regular Articles which should describe original research of high quality in the field of Sensors and sensor systems.Review Articles which will generally be specially commissioned; however, suggestions for topics and authors are welcomed by the Editor-in-Chief.Technical Notes which are short contributions and provide rapid publication of important new contributions.Special Issue Conference Articles which represent novel work arising from topical meetings and symposia

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Neural Networks

• ISSN: 0893-6080
• 5 Year impact factor: 7.9
• Impact factor: 6

The Official Journal of the Asia-Pacific Neural Network Society, the International Neural Network Society & the Japanese Neural Network SocietyNeural Networks provides a forum for developing and nurturing an international community of scholars and practitioners who are interested in all aspects of neural networks, including deep learning and related approaches to artificial intelligence and machine learning. Neural Networks welcomes submissions that contribute to the full range of neural networks research, from cognitive modeling and computational neuroscience, through deep neural networks and mathematical analyses, to engineering and technological applications of systems that significantly use neural network concepts and learning techniques. This uniquely broad range facilitates the cross-fertilization of ideas between biological and technological studies and helps to foster the development of the interdisciplinary community that is interested in biologically-inspired artificial intelligence. Accordingly, the Neural Networks editorial board represents experts in fields including psychology, neurobiology, computer science, engineering, mathematics, and physics. The journal publishes articles, letters, and reviews, as well as letters to the editor, editorials, current events, and software surveys. Articles are published in one of four sections: learning systems, cognitive and neural science, mathematical and computational analysis, engineering and applications.Neural Networks is the archival journal of the world's three oldest neural modeling societies: the International Neural Network Society (INNS), the European Neural Network Society (ENNS), and the Japanese Neural Network Society (JNNS). A subscription to the journal is included with membership in each of these societies.Members of the societies listed as affiliated to the journal receive a 25% discount on Article Processing Charges when they publish an article in Neural Networks as an author - this will be detailed through the submission and production processes.International Neural Network Society (INNS) members can receive additional support with a further 25% contribution from the INNS towards their open access article processing charges for accepted papers. If you are an INNS member, please submit this web form to receive reimbursement for 25% of your open access article processing charges. You will be asked to submit a PDF copy of your acceptance and production email, as well as a Wire Transfer Form.

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Optics and Lasers in Engineering

• ISSN: 0143-8166
• 5 Year impact factor: 4.2
• Impact factor: 3.5

Optics and Lasers in Engineering aims at providing an international forum for the interchange of information on the development of optical techniques and laser technology in engineering. Emphasis is placed on contributions targeted at the practical use of methods and devices, the development and enhancement of solutions and new theoretical concepts for experimental methods.Optics and Lasers in Engineering reflects the main areas in which optical methods are being used and developed for an engineering environment. Manuscripts should offer clear evidence of novelty and significance. Papers focusing on parameter optimization or computational issues are not suitable. Similarly, papers focussed on an application rather than the optical method fall outside the journal's scope. The scope of the journal is defined to include the following:Optical Metrology Optical Methods for 3D visualization and virtual engineering Optical Techniques for Microsystems Imaging, Microscopy and Adaptive Optics Computational Imaging Laser methods in manufacturing Integrated optical and photonic sensors Optics and Photonics in Life Science Hyperspectral and spectroscopic methods Infrared and Terahertz techniques

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Pattern Recognition

• ISSN: 0031-3203
• 5 Year impact factor: 7.6
• Impact factor: 7.5

Pattern Recognition is a mature but exciting and fast developing field, which underpins developments in cognate fields such as computer vision, image processing, text and document analysis and neural networks. It is closely akin to machine learning, and also finds applications in fast emerging areas such as biometrics, bioinformatics, multimedia data analysis and most recently data science. The journal Pattern Recognition was established some 50 years ago, as the field emerged in the early years of computer science. Over the intervening years it has expanded considerably.The journal accepts papers making original contributions to the theory, methodology and application of pattern recognition in any area, provided that the context of the work is both clearly explained and grounded in the pattern recognition literature. Papers whos primary concern falls outside the pattern recognition domain and which report routine applications of it using existing or well known methods, should be directed elsewhere. The publication policy is to publish (1) new original articles that have been appropriately reviewed by competent scientific people, (2) reviews of developments in the field, and (3) pedagogical papers covering specific areas of interest in pattern recognition. Various special issues will be organized from time to time on current topics of interest to Pattern Recognition. Submitted papers should be single column, double spaced, no less than 20 and no more than 35 (40 for a review) pages long, with numbered pages.Benefits to authors We 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 Center

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Ultramicroscopy

• ISSN: 0304-3991
• 5 Year impact factor: 2.3
• Impact factor: 2.1

An international journal affiliated with MSA, ISEM, SCANDEM, NVEM, SGOEM, SIME-SM, DGE, MSC, ASEM and MSSA, committed to the advancement of new methods, tools and theories in microscopyUltramicroscopy is an established journal that provides a forum for the publication of original research papers, invited reviews and rapid communications. The scope of Ultramicroscopy is to describe advances in instrumentation, methods and theory related to all modes of microscopical imaging, diffraction and spectroscopy in the life and physical sciences.Electron MicroscopyInstrumentationMethod developmentImaging and scattering theoryComputational methodsImage processing and analysisAuthors are encouraged to contact the Editor in Chief directly at [email protected] to discuss Review proposals in the first instance possible, as these are by invitation only.Benefits to authors We 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 Center

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