Research on Machine Learning with Algorithms and Development
DOI:
https://doi.org/10.53469/jtpes.2023.03(12).02Keywords:
Machine Learning, Algorithm, DevelopmentAbstract
Machine Learning, as one of the key technologies in the field of artificial intelligence, has made significant advancements in recent years. This study provides a relatively systematic introduction to machine learning. Firstly, it gives an overview of the historical development of machine learning, and then focuses on the analysis of classical algorithms in machine learning. Subsequently, it elucidates the latest research advancements in machine learning, aiming to comprehensively explore the applications of machine learning in various domains and discuss potential future directions.
References
Che C, Hu H, Zhao X, et al. Advancing Cancer Document Classification with R andom Forest[J]. Academic Journal of Science and Technology, 2023, 8(1): 278-280.DOI: https://doi.org/10.54097/ajst.v8i1.14333.
Saed A ,LeeAd G ,Nimrod I , et al.Using Support Vector Machine (SVM) with GPS Ionospheric TEC Estimations to Potentially Predict Earthquake Events[J].Remote Sensing,2022,14(12):2822-2822.DOI: https://doi.org/10.3390/rs14122822.
Hu H, Li S, Huang J, et al. Casting product image data for quality inspection with xception and data augmentation[J]. Journal of Theory and Practice of Engineering Science, 2023, 3(10): 42-46.DOI: https://doi.org/10.53469/jtpes.2023.03(10).06.
Lin Q, Che C, Hu H, et al. A Comprehensive Study on Early Alzheimer's Disease Detection through Advanced Machine Learning Techniques on MRI Data[J]. Academic Journal of Science and Technology, 2023, 8(1): 281-285.DOI: https://doi.org/10.54097/ajst.v8i1.14334.
Alnazir A M A ,Ling H K ,Ee O N .Discharge control policy based on density and speed for deep Q-learning adaptive traffic signal[J].Transportmetrica B: Transport Dynamics,2023,11(1):1707-1726.DOI: https://doi.org/10.1080/21680566.2023.2243388.
Che C, Liu B, Li S, et al. Deep learning for precise robot position prediction in logistics[J]. Journal of Theory and Practice of Engineering Science, 2023, 3(10): 36-41.DOI: https://doi.org/10.53469/jtpes.2023.03(10).05.
Tianbo S, Weijun H, Jiangfeng C, et al. Bio-inspired Swarm Intelligence: a Flocking Project With Group Object Recognition[C]//2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE). IEEE, 2023: 834-837.DOI: 10.1109/ICCECE58074.2023.10135464.
T. K E ,M. A H ,Abu A H , et al.Prediction of water distribution uniformity of sprinkler irrigation system based on machine learning algorithms[J].Scientific Reports,2023,13(1):20885-20885.
Yuchen S ,Yanwen Q ,Ze Z , et al.Risk Factor Analysis and Multiple Predictive Machine Learning Models for Mortality in COVID-19: A Multicenter and Multi-Ethnic Cohort Study[J].Journal of Emergency Medicine,2023,65(6):e584-e593.
Chenlong F ,Dongxing Z ,Li Y , et al.A multi-parameter control method for maize threshing based on machine learning algorithm optimisation[J].Biosystems Engineering,2023,236212-223.
Shaikh F, Bou-Harb E, Crichigno J, et al. A machine learning model for classifying unsolicited IoT devices by observing network telescopes[A]2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC)[C]. IEEE, 2018: 938-943.
Liu L, Han P. Application of improved cuckoo algorithm to optimize generalized regression neural network in software quality prediction[C]//International Conference on Neural Networks, Information, and Communication Engineering (NNICE). SPIE, 2022, 12258: 94-100.
You X , Yan G , Al-Masoudy M M ,et al.Application of novel hybrid machine learning approach for estimation of ultimate bond strength between ultra-high performance concrete and reinforced bar[J].Advances in engineering software, 2023.
Song B , Shang K , He J ,et al.Assessing the Influence Level of Food Safety Public Opinion with Unbalanced Samples Using Ensemble Machine Learning[J].Scientific Programming, 2022.DOI:10.1155/2022/8971882.
Daniël Reijsbergen, Aung Maw, Sarad Venugopalan, Dianshi Yang, Tien Tuan Anh Dinh, and Jianying Zhou. “Protecting the Integrity of IoT Sensor Data and Firmware With A Feather-Light Blockchain Infrastructure.” 2022 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), IEEE, 2022, pp. 1-9.
Dianshi Yang, Daisuke Mashima, Wei Lin, and Jianying Zhou. “DecIED: Scalable k-anonymous deception for iec61850-compliant smart grid systems.” Proceedings of the 6th ACM on Cyber-Physical System Security Workshop, 2020, pp. 54-65.
Zheng Yang, Tien Tuan Anh Dinh, Chao Yin, Yingying Yao, Dianshi Yang, Xiaolin Chang, and Jianying Zhou. “LARP: A Lightweight Auto-Refreshing Pseudonym Protocol for V2X.” Proceedings of the 27th ACM on Symposium on Access Control Models and Technologies, 2022, pp. 49-60.
Dianshi Yang, Abhinav Kumar, Stuart Ray, Wei Wang, and Reza Tourani. "IoT Sentinel: Correlation-based Attack Detection, Localization, and Authentication in IoT Networks." 2023 32nd International Conference on Computer Communications and Networks (ICCCN), IEEE, 2023, pp. 1-10.
Chang Che, Qunwei Lin, Xinyu Zhao, Jiaxin Huang, and Liqiang Yu. 2023. Enhancing Multimodal Understanding with CLIP-Based Image-to-Text Transformation. In Proceedings of the 2023 6th International Conference on Big Data Technologies (ICBDT '23). Association for Computing Machinery, New York, NY, USA, 414–418. https://doi.org/10.1145/3627377.3627442.
Li L, Xu C, Wu W, et al. Zero-resource knowledge-grounded dialogue generation[J]. Advances in Neural Information Processing Systems, 2020, 33: 8475-8485.
Yao, J., Zou, Y., Du, S., Wu, H., & Yuan, B. (2023). Progress in the Application of Artificial Intelligence in Ultrasound Diagnosis of Breast Cancer. Frontiers in Computing and Intelligent Systems, 6(1), 56-59.
Zhou, H., Lou, Y., Xiong, J., Wang, Y., & Liu, Y. (2023). Improvement of Deep Learning Model for Gastrointestinal Tract Segmentation Surgery. Frontiers in Computing and Intelligent Systems, 6(1), 103-106.
Liu, B., Yu, L., Che, C., Lin, Q., Hu, H., & Zhao, X. (2023). Integration and Performance Analysis of Artificial Intelligence and Computer Vision Based on Deep Learning Algorithms. arXiv preprint arXiv:2312.12872.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Liqiang Yu, Xinyu Zhao, Jiaxin Huang, Hao Hu, Bo Liu
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
