Journal Information
Mobile Networks and Applications
http://www.springer.com/engineering/signals/journal/11036
Impact Factor:
1.538
Publisher:
Springer
ISSN:
1383-469X
Viewed:
4059
Tracked:
8

Advertisment
Call For Papers
Mobile Networks and Applications' technical scope covers mobility solutions that provide communication technologies and mobile services, which enables users to access resources and share information freely, anytime anywhere. The emerging symbiosis of wireless communication, the ever more powerful mobile devices, with the back-end resources of the cloud, making the user fully location independent.

The journal addresses the convergence of mobility, computing and information organization, services and management. In approving Special Issues, the Journal places an equal emphasis on the various areas of nomadic computing, data management, related software and hardware technologies, and mobile user services, alongside more `classical' topics in wireless and mobile networking. The journal documents practical and theoretical results which make a fundamental contribution.
Last updated by Dou Sun in 2016-12-13
Special Issues
Special Issue on Recent Advances in Mining Intelligence and Context-Awareness on IoT-based Platforms
Submission Date: 2017-08-15

To develop innovative and intelligent machines that are fit for futuristic use, it is necessary to take a holistic approach in order to recognize various situations and environmental issues. To do this, various types of machine learning mechanisms have been developed during past decades.Recently, deep Learning has been proposed as a new area of Machine Learning and Mining researches, which have been investigated with the objective of moving Machine Learning closer to one of its original goals. Deep learning is being tried to apply for various recognition fields where researchers feel difficulty, but can achieve very promising result such as Alphago by Google deep mind. This kind of learning mechanism can cooperate with various sensors, which are able to gather large information. Also, the development of sensor networks, particularly in the last years, has extended their applicability in various domains, such as heritage preservation, environmental motoring and human activity recognition. Especially, to achieve highly natural interpretation of the environmental situation, various kinds of sensors should be widely employed in recognition system. Therefore, integration of sensor data with intelligent machine learning scheme is a natural choice and henceforth the sensor-based recognition technology is emerging as an important field of research including artificial intelligence (AI). This special issue aims to highlight the latest research results and advances on algorithms and technologies for various sensor-based recognition systems. It will include related topics and demonstrate original research work in this field of research. It will also cover the results of investigation on these topics featuring novel solutions and discuss the future trend of research in this domain. The MIKE2017 will be an interdisciplinary conference that brings together researchers and practitioners from the domains of learning algorithms, data mining, machine learning, knowledge exploration, large-scale data analytics, big data, soft computing, information systems, and so on. The selected outstanding papers from MIKE2017 will be recommended to this special issue. Topics of interest include, but are not limited to, the following scope: - Advances in Machine Learning - Algorithms for Intelligent Learning - Analogical, cognitive, and creative reasoning - Business Intelligence - Case Based Recommender Systems - Collective Learning and Tagging - Context and location aware techniques - Cross / Multi Language content mining - Crowdsourcing & Crowd Mining Algorithms and Systems - Big Data Search (HANA, Terracotta, Hadoop) - Visual analytics for text mining /exploration Visual Exploration - Real-time applications of data mining - Learning mechanisms from wireless sensor systems - Self-learning structure and framework - Security problem in multimedia data mining and distribution - Emotion and expression recognition algorithms for human interactive applications - Bioinformatics - Reasoning and Learning - Distributed and Peer-to-peer Search - Distributed Mining of Human expertise - Image Processing and Understanding - IoT solutions and platforms for information mining - Human sensors-based applications for intelligent context recognition - Real-time signal processing algorithms for recognition system
Last updated by Dou Sun in 2017-05-23
Special Issue on Emerging solutions in big data and cloud technologies for mobile networks
Submission Date: 2017-10-29

This special issue aims to bring together researchers interested in formulating and implementing innovative solutions under big data and cloud technologies for mobile networks. Data analytics, trust management, massive data management are few of the well established research areas which has gained increased importance over the past years. The technological advancements enrich the creativity of researchers which helps in attaining efficient adaptive solutions. Such rich adaptive solutions open the way to new dimensions of security violations in mobile networks. Hence, the focus of this special issue is to the interest of interdisciplinary target audience spanning: any recent challenge applicable for mobile networks. Topics of interest include, but are not limited to, the following scope: - Mobile cloud platforms - Integration solutions for mobile, cloud and big data infrastructures - Management of massive data using mobile clouds - Resource management and scheduling in mobile clouds - New programming models for mobile networks - Adaptive software for big data in mobile networks - Resilience issues in mobile clouds - Security challenges in mobile cloud environment - Next generation mobile computing services and applications - Migration mechanisms in mobile cloud computing environment - Network framework design for mobile cloud service requirements - Application of mobile computing based solutions in cloud and big data environments - Mobile system software enhancements - Big data applications in mobile clouds - Collaborative infrastructures for analytics in mobile networks - Protocols and emerging standards for mobile networks in cloud and big data environment - Trust management challenges in mobile cloud - Resource optimization in mobile cloud environment
Last updated by Dou Sun in 2017-06-14
Related Publications
Advertisment
Related Conferences
CCFCOREQUALISShortFull NameSubmissionNotificationConference
ICSIPInternational Conference on Signal and Image Processing2017-03-252017-04-152017-08-04
MITEIEEE International Conference on MOOCs, Innovation and Technology in Education2015-06-302015-08-152015-10-01
cb1AICCSAInternational Conference on Computer Systems and Applications2017-05-302017-07-172017-10-30
AEEInternational Conference on Advances in Electrical Engineering2016-07-162016-07-252016-07-30
b3SCCCInternational Conference of the Chilean Computer Science Society2016-07-312016-08-262016-10-10
SysCoInternational Conference on Systems of Collaboration2016-07-312016-10-052016-11-28
ICTCInternational Conference on ICT Convergence2017-07-312017-08-252017-10-18
ESA'International Conference on Embedded Systems and Applications2015-04-152015-04-302015-07-27
CGamesUSAInternational Conference on Computer Games: AI, Animation, Mobile, Interactive Multimedia, Educational & Serious Games2015-05-152015-06-012015-07-27
Recommendation