Scopes

Neural network: Deep Neural Network convolutional neural network Generative Adversarial Networks recurrent neural networks Neural Network Structure Neural Symbol Hybrid Model Interpretability and Visualization Methods of Neural Networks Analysis and research of neural networks in fields such as healthcare, finance, and energy 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 Bioinformatics: Algorithms, models, software, and tools in bioinformatics Any new methods for bioinformatics problems Applied to diagnosis, prognosis, treatment, monitoring, and rehabilitation Biological devices/biosensors and molecular diagnostics Computational proteomics Structure, Function, and Sequence Analysis of DNA and RNA Experimental methods for model validation genetic engineering protein engineering Gene regulation, expression, identification, and networking GENOMICS AND PROTEOMICS Imaging, instruments, and sensors used for model generation and recognition Immunology and Chemical Informatics Multi scale modeling and synthesis research Next Generation Sequencing Pharmaceutical applications Probability and Optimization Methods in Bioengineering Protein interactions, docking, and function Protein structure, function, and sequence analysis Sequence analysis structural bioinformatics Structural, Functional, and Comparative Genomics structure prediction Synthetic biology