【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