2024 International Conference on Electronic Engineering, Big Data and Algorithms (ICEBDA 2024).
2024 international conference on electronic engineering, big data and algorithms (iceebda 2024)
Brief Introduction:
The 2024 International Conference on Electronic Engineering, Big Data and Algorithms (ICEBDA 2024) will focus on the latest research results in the fields of electronic engineering, big data and algorithms, and provide an international platform for experts, professors, scholars, and engineers from domestic and foreign universities, scientific research institutes, enterprises and institutions to share professional experience, expand professional networks, exchange new ideas face-to-face, and display research results. The aim is to promote the development and application of theories and technologies in this field in universities and enterprises, as well as to establish business or research contacts and find global partners for future careers.
The purpose of this conference is to provide an authoritative international exchange platform for researchers in related fields, so as to promote good academic exchanges among scholars in related fields. At the same time, it also provides a global partner for the establishment of business and research cooperation around the world.
Important information
Submission email: iceebda info@126com (When submitting, please note in the body of the email: iceebda **Submission + corresponding author's name + recommended by Mr. Zeng, you will enjoy priority review and acceptance and students***.)
Venue: Wuhan.
Accept Rejection Notice: within 3 working days after submission.
Indexed by: EI Scopus CNKI Google Scholar et al.
Call for Papers(All related topics can be submitted).
Electronic Engineering:
Electronic Science and Technology.
Power electronics.
Electronic information technology.
Circuits & Systems.
Electromagnetic fields and microwave technology.
Telecommunications Engineering. Motors and appliances.
Radar Engineering. Mechanical engineering.
Detection technology. High-frequency circuits.
Lock-in technology. Microwave technology.
Program-controlled switching. Communications & Signal Processing.
Signal. Digital Signal Processing.
Random signal processing.
Image processing. Language Signal Processing.
Big Data:
The foundational model of big data
Algorithms and programming techniques for big data processing
Statistical modeling and learning
Multi** Representation format for big data
Data Security and Privacy
Data classification and clustering
Big data analytics, search, and mining
5G and Big Data Networks
Blockchain and data distribution
Data Science Big Data Search
Memory System Deep learning
High-performance computing technology
Network infrastructure
Multi-core computing for big data applications
Fault tolerance and reliability
Big Data Systems
Big Data Privacy & Security
Big data archiving and preservation
Visualize graphics
Algorithm:
Mathematics and computer simulations
High-performance computing
Data Structures Advanced numerical algorithms
Stochastic Algorithm Approximate algorithm
Combinatorial optimization of quantum computing
Parallel and distributed algorithms
Graph drawing and graph algorithms
Deep learning algorithms
Big data search algorithms and systems
Publication
Conference Submissions
All submissions must be reviewed by 2-3 experts of the organizing committee, and after strict review, all accepted manuscripts will be published in the conference collection and submitted to the journalei compendex, scopusand other database searches.
Notes on Submission:
1.EI meetings** should not be less than 4 pages and should be formatted according to ** template. **Template**: The homepage of the official website of the conference.
2.The conference only accepts submissions in English, and translation services are provided.
3.**It should have academic or practical value, has not been published in academic journals or conferences at home and abroad, and the author can check the plagiarism at his own expense through crosscheck, turnitin or other query systems, otherwise the rejected manuscript caused by the repetition rate of the article will be borne by the author.
4.The publisher has the final decision on whether or not to accept the article.
5.Since EI retrieval is an engineering index, empirical articles are better than review articles during review, and it is recommended that authors add more empirical content (figures, data, models, etc.) to reduce the rejection rate.
6.Submission, review, acceptance, payment registration, and journal search.