- About to NNIPAA 2024-The Second International Conference on Neural Networks, Image Processing, and Advanced Algorithms is an international event that combines academic exchange, technological innovation, and industrial applications. The conference aims to provide a platform for experts, scholars, researchers, and industry practitioners engaged in research on neural networks, image processing, and advanced algorithms to share the latest research results, explore technological development trends, and promote industry university research cooperation.
The conference has invited authoritative experts in the fields of neural networks, image processing, and advanced algorithms from both domestic and international sources. They will give keynote speeches and share cutting-edge technological trends and research achievements. The conference topics cover various aspects such as the theory and application of neural networks, new technologies in image processing, and innovation and development of advanced algorithms, providing attendees with a comprehensive academic perspective. The conference not only focuses on academic exchanges, but also actively promotes industry university research cooperation, providing participants with a platform to establish connections with industry peers and explore cooperation opportunities.
The conference is soliciting high-quality academic papers from around the world. After strict peer review, the accepted papers will be included in the conference proceedings and submitted to international authoritative databases such as EI and Scopus for retrieval. During the conference, the latest technological innovation achievements will be showcased, exploring the potential and challenges of these achievements in practical applications, and promoting the transformation and application of technology.
The Second International Conference on Neural Networks, Image Processing, and Advanced Algorithms will continue to uphold the concept of openness, cooperation, and innovation, providing an efficient and practical communication platform for experts, scholars, researchers, and industry practitioners in related fields around the world to jointly promote the development and progress of neural networks, image processing, and advanced algorithms.
-CALLFOR PAPERS-
Neural network:
Deep Learning Algorithms and Applications
Application of Convolutional Neural Network (CNN) in Image Processing
Recursive Neural Network (RNN) and Its Application in Sequential Data
Autoencoder and Generative Model
The Application of Neural Networks in Natural Language Processing (NLP)
The Application of Neural Networks in Medical Imaging Analysis
The Application of Neural Networks in Bioinformatics
The Application of Neural Networks in Intelligent Transportation Systems
The Application of Neural Networks in Robot Control
The Application of Neural Networks in Recommendation Systems
Application of Neural Networks in Anomaly Detection and Early Warning
Federated Learning and Distributed Neural Networks
Hardware Acceleration of Neural Networks
The Application of Neural Networks in the Internet of Things (IoT)
Application of Neural Network in edge computing
Image processing:
Pattern recognition and analysis
Facial recognition
Image feature extraction
Range image processing
image segmentation
Object recognition
Emotion recognition
Picture quality
Image and video encoding
Image and Video Retrieval
Image enhancement and compression
Medical imaging
Multispectral imaging
Stereoscopic vision
Digital Photography
Holographic imaging
Image acquisition technology
Advanced algorithms:
Algorithms and Data Structures
Evolutionary Computing and Learning
The Application of AI Algorithms in Physics
Visualization algorithm for physical features
genetic algorithm
Natural Computing
Quantum computing
Random algorithm
approximation algorithm
Combination optimization
Sorting algorithm
Computability theory
Advanced numerical algorithms
Parallel and distributed algorithms
Graphic drawing and graphic algorithms
-About Plagiarism Check-
Crosscheck Powered by iThenticate will be used for plagiarism check. The amount of duplication
from previously published content should be less than 20%; If the amount of duplication is 20% -
35%, modification maybe required; if the amount of duplication exceeds 35%, the article will be
rejected. Please note that there will be no refund for no-shows.
All full paper submissions to the NNIPAA 2024 could be written in English and will be sent to at least two reviewers and evaluated based on originality, technical or research content or depth, correctness, relevance to conference, contributions, and readability. All accepted papers of NNIPAA 2024 will be published in the conference proceedings, which will be submitted to EI Compendex, Scopus for indexing.
-Submission Portal-
If you have any question or need any assistance regarding the conference, please feel free to contact our conference specialists:
Delegates are encouraged to submit their papers/abstracts to the conference. Good quality papers will be selected by the organizing committee and Prof. Soteris Kalogirou, the editor in chief. After it, the authors will be invited to extent their papers/abstracts and submit them to nnipaa@sub-paper.com. The normal size of research papers is 4,000-6,000 words excluding abstract and references.
As a platform for global academic communication, the quality of conference publication has always an aspect attracting much of our attention. To ensure quality of our publication and to better serve the peers in academic circle, we now call for reviewers among professionals and experts of the world. Professionals and experts who hold PhD (doctoral) degree in the conference related areas are encouraged to join in us and together, we will work hard to become a world-class academic conference. Please send us your CV by email (nnipaa@sub-paper.com) if you are interested in it.
Contributors are encouraged to submit papers / abstracts to the conference. The organizing committee will select high-quality papers and recommend them to SCI/SSCI journals. For specific matters, please contact the person in charge of the conferrence.