计算机类 | 中高难度SCI期刊约稿信息4条

人工智能

Applied Soft Computing

Special Issue on Neural Information Processing for Optimization and Applications

全文截稿: 2018-01-31

影响因子: 3.541

中科院JCR分区:

  • 大类 : 工程技术 - 2区

  • 小类 : 计算机：人工智能 - 2区

  • 小类 : 计算机：跨学科应用 - 2区

网址: http://www.journals.elsevier.com/applied-soft-computing/

Neural information processing involves neural network, machine learning and other artificial intelligences. Due to its excellent performance, it is widely applied to practical applications in real world, such as big data analysis, Internet of thing (IoT), smart grid, cyber security and social network. Data streams of these practical applications become meaningful information when it is able to uncover unknown pattern and produce doable business insights. Recently, recurrent neural network (RNN), echo-state network (ESN), self-organizing map (SOM), learning vector quantization (LVQ) and support vector machine (SVM) have been developed for handling these data-driven optimization problems which are modeled for practical applications. However, it is challenging to harness neural information processing approach to newly complicated problems with high dimensions and uncertain structures in applications.

To address these challenges, it is essential to develop new neural information processing techniques for practical applications. Web clickstream data and social media flows require real-time neural information processing based big data analytics by using instant data and business intelligence to publish social media characteristics for social posts. Mobile data streams generated by mobile phones, electrical vehicles, and wireless sensor networks connected to IoT need a more powerful neural system enabled big data analysis to handle increasingly volumes of semi-structured and unstructured data for the discovery of useful patterns. In cyber security application, better, faster, actionable neural learning algorithms can take advantage of deep analytics on security data to identify and stop an attack, and shorten the critical time from detection to remediation while attacks occurring.

This special issue is expected to present novel neural information processing techniques, which concentrate on models and optimizations, including continuous optimization, mixed-integer optimization as well as evolutionary computation based optimization. It focuses the up-to-date issues which are relevant to big data analysis, Internet of thing (IoT), smart grid, data mining, cyber security and social network. The anticipated submissions have to primarily concentrate on fundamental research results which are application-driven contributions in emerging technologies such as big data, cloud computing, IoT, cyber physical systems, and social networks. Original submissions are welcome where the topics are as follows, but not only limited to:

- Large scale optimization models and algorithms in big data

- New neural network model and training algorithm for big data analysis

- Neurodynamics optimization approach for smart metering

- Neurodynamics optimization for demand response

- Neurodynamics optimization for microgrid management

- Novel meta-heuristic algorithms for edge computing

- Hybrid optimization approaches for cloud computing

- New evolutionary computations in smart grid

- Nature-Inspired recommendation system frameworks for social networks

- Neural computation for energy efficient networks and services in IoT

- Neural computation based big data analytic in cyber defence

- Data science-driven plug-in electric vehicle management

- Data driven optimization with evolutionary algorithms of resource allocation in IoT

软件工程

Journal of Systems and Software

Special Issue on Program Debugging and Repair

全文截稿: 2018-01-31

影响因子: 2.444

CCF分类: B类

中科院JCR分区:

  • 大类 : 工程技术 - 3区

  • 小类 : 计算机：软件工程 - 2区

  • 小类 : 计算机：理论方法 - 3区

网址: http://www.journals.elsevier.com/journal-of-systems-and-software/

Debugging large complex software remains a difficult and often costly task. Developers of popular software systems receive hundreds of bug reports each day and expend considerable effort on understanding the reported issue, diagnosing its root cause, and developing fixes.

Techniques and tools for efficiently isolating the root cause of program failures have been the subject of research in recent years, and recent advances in program repair have even succeeded in synthesizing fixes for some of the suspect statements. However, the software debugging and repair problems are far from being solved, and the relationship between methods for program debugging and those for repair deserves further study.

The aim of this special issue is to gather the recent advances in automated software debugging and repair techniques. The special issue seeks to explore the synergies between the debugging and repair of programs and explore the impact of the debugging and repair tools on software development practices.

All submissions should be supported by appropriate arguments and validation through case studies, experiments, or systematic comparisons with other approaches already in practice.

We seek high quality original submissions that have not been previously published and that are not under consideration for publication elsewhere as well as extended versions of selected papers of the 8th International Workshop on Automated Debugging (IWPD 2017).

Topics

- Strategies for effective and efficient software debugging and repair

- Techniques for debugging and repair of large scale applications

- Automated debugging and repair of domain-specific applications

- Machine learning for software debugging and repair

- Empirical studies of software debugging and repair methods

- Benchmarks and assessment frameworks for debugging and repair

- Reports on industrial applications of automatic software debugging and repair

- Experience reports and industrial best practices for automated debugging and repair

- Integration of software debugging and repair techniques in development and maintenance processes

- Human factors in software debugging and repair

- Pedagogical models for effectively teaching software debugging and repair

- Social aspects of software debugging and repair

图形学与多媒体

Computers & Graphics

Special Issue on Computational Fabrication

全文截稿: 2018-02-01

影响因子: 1.176

CCF分类: C类

中科院JCR分区:

  • 大类 : 工程技术 - 4区

  • 小类 : 计算机：软件工程 - 4区

网址: http://www.journals.elsevier.com/computers-and-graphics

We are very pleased to announce a Special Issue on Computational Fabrication for the Computers and Graphics Journal. The Computers and Graphics Journal is ranked as one of the top four venues in Computer Graphics and has developed a reputation for quality and speed. For this Special Issue, we seek high quality research papers that advance the state-of-the-art in digital fabrication. Topics related to computer graphics, geometry processing, mechanical engineering, material science, architecture, human-computer interaction, robotics, and applied math are all welcome.

Please note that authors of papers accepted to the 2017 ACM Symposium on Computational Fabrication are invited to submit significantly revised versions of their manuscripts (>30% new content) to this Special Issue.

计算机科学理论

Theoretical Computer Science

Special Issue on Combinatorics on Words 2017

全文截稿: 2018-02-01

影响因子: 0.698

CCF分类: B类

中科院JCR分区:

  • 大类 : 工程技术 - 4区

  • 小类 : 计算机：理论方法 - 4区

网址: http://www.journals.elsevier.com/theoretical-computer-science/

Following the successful conference Words 2017 held in Montreal (Canada), we are pleased to announce that a Special Issue of Theoretical Computer Science will be devoted to the topics covered by the conference.

Words 2017 was the eleventh in a series initiated in 1997 in Rouen (France) and its focus is on the theoretical point of view, including the combinatorial, algebraic and algorithmic aspects are emphasized. Motivations may come from other domains such as theoretical computer science, bioinformatics, digital geometry, symbolic dynamics, numeration systems, text processing, number theory, etc..

This call for papers is open to anyone (not only the participants of Words 2017) willing to submit a paper related to the topics of the conference.

We are seeking for contributions covering all aspects related to combinatorics on words.

In particular, the combinatorial, algebraic and algorithmic aspects are privileged.

Relations with other parts of mathematics, combinatorics, computer algebra, computer science, physics and biology will be also considered.

Submitted papers should be written in English and should neither have been published previously nor be under consideration for publication elsewhere.