Special Issue "Selected Papers from the International Conference on Communications, Signal Processing and Their Applications (ICCSPA ’20)"
Deadline for manuscript submissions: 31 January 2021.
Interests: Internet of Things (IoT); computer systems; real-time data analytics, mobile computing
Interests: multi-sensor system integration for vehicle navigation; artificial neural networks and its application to INS/GPS integration
Interests: wireless communications; cognitive radio systems; CDMA; OFDM; channel estimation; synchronization
Interests: Wireless communications, wired & wireless networking with emphasis on adaptive multimedia communications, cognitive radios, optimal resource allocation in next-generation systems; performance evaluation and QoS provisioning over wired and wireless networks; free space & optical communications, electromagnetic shielding, demand response & smart grids
The convergence of the Internet of Things and artificial intelligence brings future applications into reality in every domain of our life including smart cities, intelligent transportation, industrial manufacturing, public safety and law enforcement, smart health, and many others. This requires innovative and ground-breaking techniques at various levels of the software and hardware stack to meet the stringent requirements of these applications from the network, system, and infrastructure perspectives. This Special Issue invites selected papers from the “International Conference on Communications, Signal Processing and their Applications” to deep dive on these topics and provide full technical details and thorough evaluations of their scientific contributions. This Special Issue intends to gather transformational ideas and cutting-edge results on diverse technology developments related to the Internet of Things and signal processing from different perspectives to promote research efforts and accelerate community adoption of the recent technology advancements.
Prof. Dr. Khalid Elgazzar
Prof. Dr. Aboelmagd Noureldin
Prof. Dr. Mohamed El-Tarhuni
Prof. Dr. Mohamed Hassan
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Machine intelligence for 5G and beyond networks
- Future 5G wireless localization
- V2X technologies for connected and automated vehicles
- Computational intelligence and big data analytics for reliable IoT
- Edge, fog, and cloud computing
- IoT security/cybersecurity for connected and autonomous vehicles
- Cognitive radio systems and networks
- Vehicular communications
- Millimeter-wave systems
- Smart cities
- IoT-enabling technologies, applications, services, and implementations
- Artificial intelligence for communications
- System identification and modeling
- Compressed sampling/sensing
- Computer vision and machine learning
- Adaptive and statistical signal processing