Submission deadline: CLOSED
Publication: November/December 2020
Guest Editors: Venkateswara Dasari and Simon Su US Army Research Laboratory
This is a call for papers for an upcoming special issue of Computing in Science & Engineering to be published in November/December 2020. Major advancements in computational and sensor hardware have enormously facilitated the generation and collection of research data by scientists – the volume, velocity and variety of Big ‘Research’ Data has increased across all disciplines. A visual computing platform capable of handling extreme-scale data will enable scientists to analyze and visualize unwieldy data in an intuitive manner and guide the development of sophisticated and targeted analytics to obtain usable information. Visual computing provides stakeholders the necessary tools and capabilities to analyze the extreme-scale data collected in a mission critical environment. Mission critical computing environments are often mobile and resource constrained. Resource constraint-aware adaptive computing frameworks are essential for deployment of any visual computing architectures in mission critical environments. Coupled with AI enabled visual analytics and optimizations, visual computing at the mission critical tactical edge is going to play a critical role in providing an optimized genitive visual feedback of mission effectiveness of various tactical applications. There is need for modifying and optimizing existing visual computing architectures and frameworks for their successful deployment in mission critical tactical environments; AI enabled object detection algorithms, classifiers complementing the visual computing architectures with intelligent data processing, pattern recognition and computing situational awareness from the output of visual computational engine.
Adaptive Visual Computing requires the research and development of new interdisciplinary technological tools that integrate data, real-time predictive analytics, visualization, and acceleration on heterogeneous computing platforms in mission critical tactical environments. In this special issue of CiSE, we invite you to submit papers on visual computing in a mission critical environment that are transforming visual analytics, predictive analytics, data exploration, data discovery, and advances in science and engineering. Topics of interest include
- Adaptive visual computing
- Immersive analytics
- Visual analytics
- Role of resource constraints on visual computing engines
- AI-enabled visual information processing
- Smart video analytics
- Distributed visual computation
Please submit electronically through to Scholar One Manuscripts by 1 March 2020, selecting the special-issue option “Adaptive Visual Computing in a Mission Critical Environment.”
When preparing your manuscript, please see the CiSE-specific author guidelines and the general author guidelines. Manuscripts should not exceed 7,200 words—including all main body, abstract, keyword, bibliography, biography, and table text—and 20 references. Each table and figure counts for 300 words. Articles should be understandable by a broad audience of computer science and engineering professionals, avoiding a focus on theory, mathematics, jargon, and abstract concepts. Accepted papers will be lightly edited for grammar and formatting.
Contact the guest editors at firstname.lastname@example.org