【计算机类|专刊】SCI期刊专刊征稿信息7条

全文截稿: 2017-10-01

影响因子: 1.57

期刊难度: ★★

CCF分类: 无

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

This special issue is based on the 6th International Multi-Conference on Engineering and Technology Innovation 2017 (IMETI2017), which will be held during Oct. 28 - Nov. 01, 2017 in Hualien, Taiwan (http://imeti.org/IMETI2017/). It will include the extended versions of the selected best papers of IMETI2017 after going through the CAEE review process.

The scope of the special issue is to provide a forum for exchange of ideas among interested researchers, students, developers, and practitioners in the areas of intelligent computing and smart systems, big data, and signal processing (electrical, video, audio, optical). The topics of the special issue include
- Architecture, algorithm for intelligent computing
- Artificial intelligence and its novel application
- Soft computing, fuzzy logic and artificial neural networks
- Multimedia information processing and retrieval
- Algorithms and systems for big data
- Big data analytics and social media
- Value of digital convergence for big data
- Data collection and storage for digital convergence
- Data mining and analysis for digital convergence
- Models and tools of digital convergence
- Digital convergence for services and composition
- Bioinformatics, biometry and medical Imaging
- Novel multimedia and compression technology
- Intelligence signal processing approaches
- Signal processing and control challenges for smart system
- Technologies for industry 4.0

全文截稿: 2017-10-15

影响因子: 2.009

期刊难度: ★★★

CCF分类: C类

网址: http://www.journals.elsevier.com/artificial-intelligence-in-medicine/

The Autonomous Agents and Multi-Agent Systems Applied in Health Care Special Issue intends to provide a discussion forum on the most recent and innovative work regarding the study and application of agent-based technology to convincing healthcare scenarios. A healthcare facility faces diverse and complex everyday challenges, ranging from equipment and drug inventory management to patient clinical record and follow-up management, or even patient monitoring in either a hospital or home environment, and patient transportation scheduling. At the same time, the progressive maturity of agent technology methodologies and tools has led to the development of applications in many complex real-world domains. Covering a wide spectrum of research areas, this special issue intends to bring together communities from Computer Science and Clinicians working on Healthcare, Medicine and Biomedicine, providing a presentation and discussion forum for researchers in the area, highlighting innovative and convincing health-care applications of the agent-based systems and defining future research directions.

Topics of interest include, but are not limited to:
- Medical Data Management
- Information Retrieval and Knowledge Management
- Agent-based Information Provider Services
- Remote Care, Telemedicine
- Mobile Agents in Hospital Environments
- Robotics in Healthcare (Prosthetics / Surgical Robotics)
- Impact of Agents and Robots in Patient Quality of Life
- Patient Empowerment through Personalized Agent-based Systems
- Patient Management (e.g. through agent cooperation, distributed patient scheduling)
- Planning and Resource Allocation
- Medical Agent-based Decision Support Systems, including Recommender Systems, Patient Diagnosis and Monitoring Systems
- Agent-based Patient Monitoring and Diagnosis
- Agent-based Medical Training and Education (e.g. tutoring systems)
- Healthcare applications of Multi-Agent Based Simulations

Furthermore we strongly recommend the inclusion of a clinical assessment on the usefulness and potential impact of the submitted work. The evaluation should demonstrate the feasibility of the presented newly developed formal methods and applications in medicine.

全文截稿: 2017-10-30

影响因子: 1.57

期刊难度: ★★

CCF分类: 无

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

Image and Video processing research have undergone enormous changes and development in recent decades. The main goal is to treat and handle an image or video frame in order to improve its quality. Image processing is the basis of modern technology as computer graphics and computer vision, and it is quite useful for the creation, transfer, and storage of high-quality images and videos using mobile devices and social networks. The remarkable number of new algorithms that emerge day by day and the increasing computational power of computers and mobile devices have created more challenges to the research community in these areas.

Therefore, researchers are invited to submit outstanding and original unpublished research manuscripts focused on the latest achievements in Image and Video processing. This will be the 9th special issue in this series; special issues have been published so far in September 2011, September 2012, April 2013, April 2014, November 2014, August 2015, August 2016, and August 2017.

The topics of interest are aimed to show the continuing efforts to provide novel Image and Video processing techniques for application on potential topics that include:
- Compression.
- De-noising
- Face Recognition.
- Image Retrieval.
- Image Enhancement
- Image Segmentation.
- Pattern Recognition.
- Reconstruction and Recovery.
- Security
- Tracking

全文截稿: 2017-11-01

影响因子: 1.57

期刊难度: ★★

CCF分类: 无

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

With advancement in biomedical imaging, the amount of data generated by multimodality image techniques, e.g., ranging from Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Ultrasound, Single Photon Emission Computed Tomography (SPECT), and Positron Emission Tomography (PET), Magnetic Particle Imaging, EE/MEG, Optical Microscopy and Tomography, Photoacoustic Tomography, Electron Tomography, and Atomic Force Microscopy, has grown exponentially and the nature of such data has increasingly become more complex. This poses a great challenge on how to develop new advanced imaging methods and computational models for efficient data processing, analysis and modelling in clinical applications and in understanding the underlying biological process.

The purpose of this special issue is to provide a diverse, but complementary, set of contributions to demonstrate new developments and applications of advanced imaging analysis in the multimodal biomedical imaging area. The ultimate goal is to promote research and development of advanced imaging analysis for multimodal biomedical images by publishing high-quality research articles and reviews in this rapidly growing interdisciplinary field.

The topics of interest include:
- New algorithms, models and applications of advanced imaging methods
- Multimodal imaging techniques: data acquisition, reconstruction; 2D, 3D, 4D imaging, etc.)
- Translational multimodality imaging and biomedical applications (e.g., detection, diagnostic analysis, quantitative measurements, image guidance of ultrasonography)
- Variational and combinatorial optimizations for biomedical imaging and image analysis
- Advanced Biomedical image analysis ( image processing, Statistical and probabilistic methods for biomedical imaging and image analysis, Machine learning in biomedical imaging and image analysis)
- Deep learning methods (convolutional neural network, autoencoder, deep belief network, etc.)
- Visualization

全文截稿: 2017-11-15

影响因子: 1.182

期刊难度: ★★

CCF分类: 无

网址: http://www.journals.elsevier.com/cognitive-systems-research/

The focus of this ProSocrates Special Issue is to bring problem-solving, spatial cognition/reasoning, cognitive systems and creativity disciplines together, by bringing in dialogue specialists from each of the fields. Authors of experimental, theoretical and computational work which combines perspectives from at least 2 these topics are invited to submit contributions. The larger aim of integrating these topics is to produce theoretical tools, approaches and methodologies for creative and spatial problem solving in cognitive systems, in a manner that would benefit from such interdisciplinary bootstrapping.

Papers included in this issue will address such questions/debates as:
- How spatial reasoning can help in problem solving?
- How can problems be modeled in order to be solved creatively?
- How can spatial reasoning improve cognitive and/or creative skills in people? and in cognitive systems?
- What is the relation between Creativity and Spatial Reasoning?
- How sketches, shapes and colours can be interpreted cognitively and/or creatively?
- What is the relation between computational creativity, cognitive creativity and reasoning?
- How analogy and metaphor, image schemas and concept blending shed light on creative problem solving?


Possible topics to be explored by the contributions to this special issue include:
- Spatial cognition, creative cognition
- Spatial reasoning, case-based reasoning, analogical reasoning
- General and spatial problem solving, knowledge representation for problem-solving, cross-modal creativity and problem solving
- Analogy and metaphor, concept blending, image schemas
- Cognitive modeling and qualitative modeling
- Computational creativity, computational cognitive systems
- Symbolic, subsymbolic and hybrid approaches, evolutionary approaches and genetic algorithms
- Systems for enhancing human spatial reasoning and/or creativity
- Cognitive recommender systems, natural and artificial cognitive systems
- Visuospatial creativity, insight and re-representation
- Applications in Education, Robotics, Design, etc.

全文截稿: 2017-12-30

影响因子: 1.57

期刊难度: ★★

CCF分类: 无

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

Recently, the Internet of Things (IoT) technologies have made their entrance into the healthcare domain. It is now providing many opportunities to develop Smart healthcare solutions with more intelligent and prediction capabilities both for daily life (home/office) and in-hospitals. In most of such Smart healthcare IoT systems, numerous IoT devices and sensors are being used to monitor users’ healthcare status and transmit the data directly to remote cloud data centers. Such combination of cloud computing and IoT (Cloud-IoT) enables the resource-constrained IoT devices to get the benefit from Cloud’s high-performance computing and massive storage infrastructure for real-time processing, storing, visualization, and analysis of IoT data.

However, currently such Cloud-IoT system is facing increasing difficulty to handle the healthcare Big data that IoT generates from various healthcare applications and services. It has become challenging to ensure low latency and network bandwidth consumption, scalability, reliability, mobility, and energy efficiency of healthcare IoT devices while moving all data to the cloud. To cope with these challenges, a recent trend is to deploy an edge computing infrastructure between IoT healthcare system and cloud computing. This new paradigm termed as Edge-of-Things (EoT) computing, operates closer to the IoT data source and allows computing, storage and service supply to be moved from Cloud to the local edge devices such as Smart phones, Smart gateways or routers and local PCs. These edge devices can offer computing, intelligence and storage capabilities on a smaller scale in real-time. Thus, EoT paradigm enables accurate healthcare service delivery with low response time. It helps to avoid delays and network failures that may interrupt or delay the decision process and healthcare service delivery.

However, the successful utilization of edge-of–things computing in a Smart healthcare system is still challenging. There exist several issues that need to be addressed such as novel network architecture and middleware platform for Edge-of-Things in healthcare system considering emerging technologies such as 5G wireless networks, software defined network and semantic computing; edge analytics for healthcare Big data; novel security and privacy methods; social intelligence into the edge node to host healthcare applications; and context-aware service management on the edge with effective quality of service (QoS) support and other issues.

This special issue targets a mixed audience of researchers, and practionars from both academia and healthcare industry to share and exchange new ideas, approaches, theories and practice to resolve the challenging issues of utilizing the Edge-of-Things technology for improving the efficiency, sustainability and reliability of smart healthcare systems. Therefore, the suggested topics of interest for this special issue include:
- Novel Edgecomputing architecture for Smart healthcare monitoring system
- Distributed Deep Learning on Edge devices for Smart healthcare data analysis
- Energy-efficient data offloading and computing over Edge for Smart mobile healthcare
- Techniques, algorithms and methods of processing smart healthcare data over Edge devices
- Cognitive Edge computing for Smart healthcare system
- New communications and networking protocols for Edge computing in Smart healthcare system
- Programming models and toolkits for supporting Edge Computing for Smart healthcare system
- Trust, privacy and security issues in Edge computing for Smart healthcare
- Simulation, emulation and testbed support of Smart healthcare systems over Edge computing
- Autonomic resource management on Edge devices for Smart healthcare
- Mobility and context-aware information processing in edge computing for healthcare applications
- Emerging Smart healthcare services and applications over Edge computing

全文截稿: 2018-03-05

影响因子: 1.57

期刊难度: ★★

CCF分类: 无

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

To deal with uncertain and imprecise problems of real world, Sustainable Systems with Soft Computing approaches proved to be successful in multi-criteria control strategies ranging from urban infrastructure ecology to renewable electricity and corporate environmental strategy. Soft computing techniques offer an effective solution for studying and modelling the stochastic behaviour of sustainable systems and their ability to handle imprecise information has been a key factor for their increasing demand.

Modern environmental challenges like Depletion of fossil fuels, Global warming, Water scarcity, and Loss of biodiversity can be dealt with intelligently using soft computing techniques with sustainable systems. Integration of soft computing approaches via Artificial Neural Networks, Genetic Algorithms, Cluster Analysis, Fuzzy Logic, Evolutionary Computation, Swarm Intelligence and their applications in sustainable systems helps to solve lots of social concerns.

This special issue aims to gather latest research and development achievements in this area and to promote their applications in all important fields with society needs. Topics of interest are:
- Multilayer perceptron neural networks (MLP) in sustainable systems
- Algorithms for analysis, modelling, simulation and optimization of sustainable systems
- Renewable generation technologies
- Sustainable design and models for disaster management
- Smart grid-connected renewable energy systems
- Sustainable systems with Artificial Intelligence (AI)
- Human-centred sustainable systems
- Adaptive neuro-fuzzy interference systems (ANFIS)
- Measurement and instrumentation techniques
- Sustainable smart city approaches
- Sustainable wireless networks
- Geographical load balancing with sustainable systems
- Information-intensive sustainable systems
- Sustainable transportation technologies
- Photo-voltaic (PV) systems and grid-connected PV plants
- Sustainable systems for health-care informatics
- Soft computing models for sustainable systems

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