Machine Learning Model Training and Practice: A Study on Constructing a Novel Drug Detection System

Beichang Liu; Guoqing Cai; Jili Qian; Tianbo Song; Quan Zhang

doi:10.62051/ijcsit.v1n1.19

Authors

Beichang Liu
Guoqing Cai
Jili Qian
Tianbo Song
Quan Zhang

DOI:

https://doi.org/10.62051/ijcsit.v1n1.19

Keywords:

Drug detection, Machine learning, NSP, Risk prediction

Abstract

Drugs, AIDS and terrorism are the three major public hazards in the world. Drug abuse seriously endangers social security and human life and health. The World Drug Report 2023 shows that the continued record supply of illicit drugs and increasingly flexible trafficking networks are exacerbating the global crisis and posing challenges for health services and law enforcement responses. The number of people injecting drugs worldwide in 2021 is estimated to be 13.2 million, 18% higher than previous estimates. At present, the world drug control situation is very serious, and it is necessary to increase the means to solve the drug problem and curb the spread of drugs, and efficient and accurate drug detection technology plays a very important role in drug control work. NPS, also known as "planning drugs" or "laboratory drugs", is a drug analogue obtained by the chemical structure modification of controlled drugs by criminals in order to evade the crackdown. It has similar or stronger excitatory, hallucinogenic, narcotic and other effects with controlled drugs, and has become a third-generation drug popular in the world after traditional drugs and synthetic drugs. Therefore, through the drug detection technology based on artificial intelligence machine learning technology, the current development of AI as a "drug detector" and the future space are analyzed.

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References

Li, Shulin, et al. “Application Analysis of AI Technology Combined With Spiral CT Scanning in Early Lung Cancer Screening”. Frontiers in Computing and Intelligent Systems, vol. 6, no. 3, Jan. 2024, pp. 52-55, https://doi.org/10.54097/LAwfJzEA.

Liu, Bo, et al. “Detection of Esophageal Cancer Lesions Based on CBAM Faster R-CNN”. Journal of Theory and Practice of Engineering Science, vol. 3, no. 12, Dec. 2023, pp. 36-42, doi:10.53469/jtpes.2023.03(12).06.

“Based on Intelligent Advertising Recommendation and Abnormal Advertising Monitoring System in the Field of Machine Learning”. International Journal of Computer Science and Information Technology, vol. 1, no. 1, Dec. 2023, pp. 17-23, https://doi.org/10.62051/ijcsit.v1n1.03.

Yu, Liqiang, et al. “Research on Machine Learning With Algorithms and Development”. Journal of Theory and Practice of Engineering Science, vol. 3, no. 12, Dec. 2023, pp. 7-14, doi:10.53469/jtpes.2023.03(12).02.

Liu, Bo, et al. "Integration and Performance Analysis of Artificial Intelligence and Computer Vision Based on Deep Learning Algorithms." arXiv preprint arXiv:2312.12872 (2023).

Yu, L., Liu, B., Lin, Q., Zhao, X., & Che, C. (2024). Semantic Similarity Matching for Patent Documents Using Ensemble BERT-related Model and Novel Text Processing Method. arXiv preprint arXiv:2401.06782.

Huang, J., Zhao, X., Che, C., Lin, Q., & Liu, B. (2024). Enhancing Essay Scoring with Adversarial Weights Perturbation and Metric-specific AttentionPooling. arXiv preprint arXiv:2401.05433.

Tianbo, Song, Hu Weijun, Cai Jiangfeng, Liu Weijia, Yuan Quan, and He Kun. "Bio-inspired Swarm Intelligence: a Flocking Project With Group Object Recognition." In 2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE), pp. 834-837. IEEE, 2023.DOI: 10.1109/mce.2022.3206678

Liu, B., Zhao, X., Hu, H., Lin, Q., & Huang, J. (2023). Detection of Esophageal Cancer Lesions Based on CBAM Faster R-CNN. Journal of Theory and Practice of Engineering Science, 3(12), 36–42. https://doi.org/10.53469/jtpes.2023.03(12).06

Liu, Bo, et al. "Integration and Performance Analysis of Artificial Intelligence and Computer Vision Based on Deep Learning Algorithms." arXiv preprint arXiv:2312.12872 (2023).

“Implementation of Computer Vision Technology Based on Artificial Intelligence for Medical Image Analysis”. International Journal of Computer Science and Information Technology, vol. 1, no. 1, Dec. 2023, pp. 69-76, https://doi.org/10.62051/ijcsit.v1n1.10.

“Enhancing Computer Digital Signal Processing through the Utilization of RNN Sequence Algorithms”. International Journal of Computer Science and Information Technology, vol. 1, no. 1, Dec. 2023, pp. 60-68, https://doi.org/10.62051/ijcsit.v1n1.09.

Dong, Xinqi, et al. “The Prediction Trend of Enterprise Financial Risk Based on Machine Learning ARIMA Model”. Journal of Theory and Practice of Engineering Science, vol. 4, no. 01, Jan. 2024, pp. 65-71, doi:10.53469/jtpes.2024.04(01).09.

Tan, Kai, et al. “Integrating Advanced Computer Vision and AI Algorithms for Autonomous Driving Systems”. Journal of Theory and Practice of Engineering Science, vol. 4, no. 01, Jan. 2024, pp. 41-48, doi:10.53469/jtpes.2024.04(01).06.

“A Deep Learning-Based Algorithm for Crop Disease Identification Positioning Using Computer Vision”. International Journal of Computer Science and Information Technology, vol. 1, no. 1, Dec. 2023, pp. 85-92, https://doi.org/10.62051/ijcsit.v1n1.12.

Wang, Sihao, et al. “Diabetes Risk Analysis Based on Machine Learning LASSO Regression Model”. Journal of Theory and Practice of Engineering Science, vol. 4, no. 01, Jan. 2024, pp. 58-64, doi:10.53469/jtpes.2024.04(01).08.

Wei, Kuo, et al. “Strategic Application of AI Intelligent Algorithm in Network Threat Detection and Defense”. Journal of Theory and Practice of Engineering Science, vol. 4, no. 01, Jan. 2024, pp. 49-57, doi:10.53469/jtpes.2024.04(01).07.

S. Tianbo, H. Weijun, C. Jiangfeng, L. Weijia, Y. Quan and H. Kun, "Bio-inspired Swarm Intelligence: a Flocking Project With Group Object Recognition," 2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE), Guangzhou, China, 2023, pp. 834-837, doi: 10.1109/ICCECE58074.2023.10135464.

Zhang, Quan, et al. “Deep Learning Model Aids Breast Cancer Detection”. Frontiers in Computing and Intelligent Systems, vol. 6, no. 1, Dec. 2023, pp. 99-102, https://doi.org/10.54097/fcis.v6i1.18.

Jingyu Xu, Yifeng Jiang, Bin Yuan, Shulin Li, Tianbo Song，Automated Scoring of Clinical Patient Notes using Advanced NLP and Pseudo Labeling，arXiv preprint arXiv:2401.12994, 2024

Xiaonan Xu, Bin Yuan, Yongyao Mo, Tianbo Song, Shulin Li, Curriculum Recommendations Using Transformer Base Model with InfoNCE Loss And Language Switching Method, arXiv preprint arXiv:2401.09699

“A Deep Learning-Based Algorithm for Crop Disease Identification Positioning Using Computer Vision”. International Journal of Computer Science and Information Technology, vol. 1, no. 1, Dec. 2023, pp. 85-92, https://doi.org/10.62051/ijcsit.v1n1.12.

Zhang, Yufeng, et al. "Manipulator Control System Based on Machine Vision." International Conference on Applications and Techniques in Cyber Intelligence ATCI 2019: Applications and Techniques in Cyber Intelligence 7. Springer International Publishing, 2020.

Gao, Longsen, et al. "Autonomous Multi-Robot Servicing for Spacecraft Operation Extension." 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2023.