Opening book details…
Can I read TCM Function Multi-classification Approach Using Deep Learning Models on EtoBox?
TCM Function Multi-classification Approach Using Deep Learning Models by Quanying Ren; Keqian Li; Dongshen Yang; Yan Zhu; Keyu Yao; Xiangfu Meng is a book available to read on EtoBox.
What is TCM Function Multi-classification Approach Using Deep Learning Models about?
This book constitutes the proceedings of the 20th International Conference on Web Information Systems and Applications, WISA 2023, held in Chengdu, China, in September 2023. The 43 full papers and 9 short papers presented in this book were carefully reviewed and selected from 213 submissions. The papers are grouped in topical sections on Data Mining and Knowledge Discovery, Recommender Systems, Natural Language Processing, Security, Privacy and Trust, Blockchain, Parallel and Distributed Systems and Database for Artificial Intelligence..
- Author
- Quanying Ren; Keqian Li; Dongshen Yang; Yan Zhu; Keyu Yao; Xiangfu Meng
- Publisher
- Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd
- Published
- 2023
- Language
- EN
- ISBN
- 9789819962211
- Subjects
- Management, Science, Computer Science
More by Quanying Ren; Keqian Li; Dongshen Yang; Yan Zhu; Keyu Yao; Xiangfu Meng
Browse all works by Quanying Ren; Keqian Li; Dongshen Yang; Yan Zhu; Keyu Yao; Xiangfu Meng
Similar books
- Enhancing the Interpretability of Deep Multi-agent Reinforcement Learning via Neural Logic Reasoning — Bokai Ji; Guangxia Li; Gang Xiao (2023)
- Brain Tumor Classification Using Deep Learning Techniques — K Susheel Kumar; Amishi Bansal; Nagendra Pratap Singh (2022)
- Tomato Detection Using Deep Learning for Robotics Application — Tiago Cerveira Padilha; Germano Moreira; Sandro Augusto Magalhães; Filipe Neves dos Santos; Mário Cunha; Miguel Oliveira (2021)
- Detection and Classification of Paddy Leaf Diseases Using Deep Learning (CNN) — S. Maheswaran; S. Sathesh; P. Rithika; I. Mohammed Shafiq; S. Nandita; R. D. Gomathi (2022)
- An Empirical Study on Fabric Defect Classification Using Deep Network Models — Nguyen Thi Hong Anh; Bui Cong Giao (2019)
- Deep Reinforcement Learning and Optimization Approach for Multi-echelon Supply Chain with Uncertain Demands — Júlio César Alves; Geraldo Robson Mateus (2020)