Special Issue "Applications and Methodologies of Artificial Intelligence in Big Data Analysis"
Deadline for manuscript submissions: 31 December 2020.
Interests: Artificial Intelligence, Deep Learning, Big Data analysis, Medical image data analysis, Prediction model design, IoT, Fog and Edge Computing
Interests: Business Intelligence & Big Data Management, Business Analytics & Data Discovery, Distributed Data Warehousing, Intensive Queries in Big Data Warehouses, MapReduce and Spark technologies, Text Warehousing & OLAP Text Cubes, Semantic OLAP & Social OLAP, Analysis of social graphs cubes, Community detection and evaluation
Interests: Computer and Communication Networks, TCP/IP Internet, Client-Server, WEB, Traffic Load Balancing, VoIP, Video and Streaming over IP, Multimedia Networks, Design of Networking Equipments, Modems, Switches and Routers, Wireless and Mobile Networks and Wireless Sensor Networks
Artificial Intelligence (AI) and Big Data Analytics are two of the highly promising technologies considered by data scientists and big corporations. The emergence of robotics has introduced an autonomy, which requires no human intervention in the implementation of the decisions. Deep learning is considered an advanced version of AI through which various machines can send or receive data and learn new concepts by analyzing the data. Big data helps organizations in analyzing their existing data and in drawing meaningful insights from the same. The exponential growth of technologies like AI and big data analytics can be used for anomaly detection, pattern recognition, and industrial fault detection, and can boost market analysis insights. It is a need of the time to design efficient algorithms, models and methodologies of AI to analyze the big data generated from various sources, such as industry, healthcare, medical and the financial market.
The topics of interest in this SI include, but are not limited to:
- Applications of machine learning
- Deep learning algorithms
- IoT and smart city big data analysis
- Imaging big data analysis
- Natural language processing and speech recognition
- Medical imaging data analysis
- Applications of deep learning in image data analysis
- Pattern recognition and applications of AI
Prof. Omar BOUSSAID
Prof. Nader F. Mir
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. Electronics 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 1500 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.
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Big Data
- Internet of Things
- Language Processing
- Image analysis