EAI ADHIP 2020 Best Paper Award goes to the authors of:

Research on intelligent investment prediction model of building based on support vector machine

Yuan-ling MA, CCTEG Chongqing Engineering Co.,Ltd.;
Run-lin Li, CCTEG Chongqing Engineering Co.,Ltd.;
Xiao MA, CCTEG Chongqing Engineering Co.,Ltd.

Design of Intelligent Recognition System for Orchard Spraying Robot Path Based on Adaptive Genetic Algorithm

Jie GAO, Nantong Polytechnic College;
Jia WANG, Mechanical Engineering College, Yunnan Open University.

All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library.

EAI ADHIP proceedings have been indexed in the leading services, including Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).

Authors of selected best accepted and presented papers will be invited to submit an extended version to:

• Mobile Networks and Applications (MONET) Journal (IF: 2.602)

All accepted authors are eligible to submit an extended version in a fast track of:

• EAI Transactions on Scalable Information Systems (Open Access)
• EAI Transactions on Internet of Things (Open Access)
• EAI Transactions on Wireless Spectrum (Open Access)

Additional publication opportunities:

• EAI Transactions series (Open Access)
• EAI/Springer Innovations in Communications and Computing Book Series

Potential topics include, but are not limited to:

Big data processing, which includeations for hybrid Information, which include

• Computational Framework and Structure for Big Data
• Computational Method for Big Data
• Fog Computation
• Parallel and Distributed Computing
• Medical Big Data Analysis and Processing
• Other interesting and promising domains

Real applications of aspects with big data, which include

• Internet of Multimedia Things (IoMT)
• Security and Privacy protection of IoMT
• Behavior Understanding and Object Tracking in Big Multimedia Data
• Network Traffic Analysis and Measurement
• Big Image Data Processing
• Other interesting and promising domain

Huge Signal Data Processing, which include

• Wireless Communication for Big Data
• Wireless Networks for Big Data
• Information Theory and Coding in Big Data Application
• Big Radar Signal Data processing
• Big Audio and Acoustic Signal Data Processing
• Industry Technology Tracks
• Sensor Array and Multichannel Signal Processing
• Big Data Processing in Satellite and Space Communications

Other related methods and applications are also welcome.

Keywords: Mobile Information; Big Data; Internet of Things; Wireless Signal; Mobile Application; Deep Learning; Physical Layer Wireless Communicating; Computer Version, Artificial Intelligence; Compressive

Nowadays, with the development of mobile technology, wireless information has occupied the most important position in all kinds of information. On the other hand, wireless information has its own salient features, which is more different from traditional information, such as over-commixing, large amounts, susceptibility and isomerism. However, current information processing methods are not so suitable to process information with these properties.

Therefore, it is the right time to research novel information processing methods to deal with huge mobile information. Today, there are more remaining issues are waiting for solving, such as preprocessing and systemization of big mobile data, objective tracking and behavior understanding in Internet of Things, restoration and enhancement of mobile information, et al. All these entire problems need our more attention to solve.

In this way, this conference aims to provide an opportunity for researchers to publish their gifted theoretical and technological studies of the advanced methods in mobile information processing, and their novel engineering applications within this domain.

This event is organized by EAI.

EAI – European Alliance for Innovation is a non-profit organization and a professional community established in cooperation with the European Commission to empower the global research and innovation, and to promote cooperation between European and International ICT communities.

EAI’s vision is to foster excellence in research and innovation on the principles of transparency, objectivity, equality, and openness. Our guiding principle is community cooperation to create better research, provide fair recognition of excellence and transform best ideas into commercial value proposition.

EAI‘s mission is to create an environment that rewards excellence transparently, and builds recognition objectively regardless of age, economic status or country of origin, where no membership fees or closed door committees stand in the way of your research career.

Through these shared values, EAI leads the way toward advancing the world of research and innovation, empowering individuals and institutions for the good of society to fully benefit from the digital revolution.