Journal Guide

Sensors & Diagnostics is a gold open access journal focused on high-impact, innovative sensing work. The journal welcomes high-quality studies reporting innovative materials, novel detection principles, and/or significant development of known devices. All work must be of significant interest to the community, and, where relevant, must show in situ or real-life sample testing. Topics include Biosensors (intracellular sensors, cell chips); Chemical sensors (electronic, electromagnetic, optical, mechanical, thermal, gas sensors, single molecule sensors, arrays & multiplexing); Physical and physiological sensors; Integrated, wearable and/or implantable sensors; Microfluidic devices (lab-on-a-chip, micro total analysis systems); Sensor and sensor-array chemometrics; Molecular diagnostics (polymerase chain reaction (PCR), enzyme-linked immunosorbent assay (ELISA), lateral flow assay (LFA), loop-mediated isothermal amplification (LAMP)); Scanning based diagnostics (mammography/mastography, positron emission tomography (PET), magnetic resonance imaging (MRI), single photon emission computed tomography (SPECT)); and Digital health and data management.

Soft Computing is dedicated to system solutions based on soft computing techniques. It provides rapid dissemination of important results in soft computing technologies, a fusion of research in evolutionary algorithms and genetic programming, neural science and neural net systems, fuzzy set theory and fuzzy systems, and chaos theory and chaotic systems. Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. By linking the ideas and techniques of soft computing with other disciplines, the journal serves as a unifying platform that fosters comparisons, extensions, and new applications. As a result, the journal is an international forum for all scientists and engineers engaged in research and development in this fast growing field. Indexed by Science Citation Index, Inspec, Compendex, DBLP, Computer Science Index, Current Abstracts, Current Contents, EBSCO host, IngentConnect, MetaPress, Springerlink, OCLC, SCOPUS, Ulrich´s, Zentralblatt Mat

Statistics and Computing is a bi-monthly refereed journal that publishes papers covering the interface between the statistical and computing sciences.

The journal includes techniques for evaluating analytically intractable problems, such as bootstrap resampling, Markov chain Monte Carlo, sequential Monte Carlo, approximate Bayesian computation,  search and optimization methods, stochastic simulation and Monte Carlo, graphics, computer environments, statistical approaches to software errors, information retrieval, machine learning, statistics of databases and database technology, huge data sets and big data analytics, computer algebra, graphical models, image processing, tomography, inverse problems and uncertainty quantification.

Theoretical Computer Science is mathematical and abstract in spirit, but it derives its motivation from practical and everyday computation. Its aim is to understand the nature of computation and, as a consequence of this understanding, provide more efficient methodologies. All papers introducing or studying mathematical, logic and formal concepts and methods are welcome, provided that their motivation is clearly drawn from the field of computing.Any queries about submissions and peer review should be addressed to the TCS editorial office: tcs@elsevier.com.Papers published in Theoretical Computer Science are grouped in three sections according to their nature. The first section `Algorithms, automata, complexity and games' is devoted to the study of algorithms and their complexity using analytical, combinatorial or probabilistic methods. It includes the whole field of abstract complexity (i.e. all the results about the hierarchies that can be defined using Turing machines), the whole field of automata and language theory (including automata on infinite words and infinitary languages), the whole field of geometrical (graphic) applications and the whole field of measurement of system performance using statistical methods.The second section,`Logic, semantics and theory of programming', is devoted to formal methods to check properties of programs or implement formally described languages; it contains all papers dealing with semantics of sequential and parallel programming languages. All formal methods treating these problems are published in this section, including rewriting techniques, abstract data types, automatic theorem proving, calculi such as SCP or CCS, Petri nets, new logic calculi and developments in categorical methods.The third section, 'Natural Computing', is devoted to the study of computing occurring in nature and computing inspired by nature. In the rapidly evolving field of computer science, natural computing plays an important role as the catalyst for the synergy of human designed computing with the computing going on in nature. This synergy leads to a deeper and broader understanding of the nature of computation. Although natural computing is concerned also with experiments and applications, this section of Theoretical Computer Science is focused on the theoretical aspects of natural computing with clear relevance to computing. Among others, it will contain papers dealing with the theoretical issues in evolutionary computing, neural networks, molecular computing, and quantum computing.

Statement of Scope TOCS is devoted to publishing original research from all areas of theoretical computer science, ranging from foundational areas such as computational complexity, to fundamental areas such as algorithms and data structures, to focused areas such as parallel and distributed algorithms and architectures. A more detailed enumeration of relevant topics is available from the specialties listed by the Editorial Board.