Search Results - "2022 International Conference on Big Data, Information and Computer Network (BDICN)"

A Survey of Convolutional Neural Networks for Image Classification: Models and Datasets by Deng, Tiancan

“…Convolutional Neural Networks (CNN) are a form of feedforward neural network with a deep structure and convolution computations. It is one of the most…”
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Thermal Load Forecasting of an Ultra-short-term Integrated Energy System Based on VMD-CNN-LSTM by Zhang, Haoran, Zhang, Yuanyuan, Xu, Zhengwei

“…In order to better excavate the effective information contained in the massive data of ultra-short-term comprehensive energy systems and find out the…”
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Analysis and comparison of the main zero-knowledge proof scheme by Gong, Yinjie, Jin, Yifei, Li, Yuchan, Liu, Ziyi, Zhu, Zhiyi

“…Thanks to the development in encryption technology and blockchain, cryptocurrency has already proven feasible and applicable. However, blockchain requires…”
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Tabular Data Anomaly Detection Based on Density Peak Clustering Algorithm by Liang, Dong, Wang, Jun, Zhang, Wenping, Liu, Yuqi, Wang, Lei, Zhao, Xiaoyong

“…Anomaly detection, also known as outlier detection, is one of the basic tasks of data mining, which aims to eliminate noise and discovers potential knowledge,…”
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Towards Accelerated and Robust Rreinforcement Learning with Transfer Learning by Cao, Ruiyong

“…Transfer learning has been successfully used in some areas in deep learning, such as accelerate training progress in convolutional neural network (CNN). In…”
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Self-supervised Pretraining Isolated Forest for Outlier Detection by Liang, Dong, Wang, Jun, Gao, Xiaoyu, Wang, Jiahui, Zhao, Xiaoyong, Wang, Lei

“…Unsupervised anomaly detection of structured tabular data is a very important issue as it plays a key role in decision making in production practices. The…”
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Image Classification based on CNN: Models and Modules by Tang, Haoran

“…With the recent development of deep learning techniques, deep learning methods are widely used in image classification tasks, especially for those based on…”
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Student Ability Portrait Construction Research Based on Big Data by Bo, Yu, Wang, Can, Li, Lin, Lu, Xuming

“…In order to make students more intuitively understand their personal abilities and to provide visual data support for improving their learning process, this…”
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Single image dehazing based on the fusion of multi-branch and attention mechanism by Yu, Xiaohang, Yu, Huikang

“…In recent years, convolutional neural networks have made significant progress in the field of image dehazing, but most methods still include the problems of…”
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FPGA-Based High-Performance Data Compression Deep Neural Network Accelerator by Wang, Hanze, Fu, Yingxun, Ma, Li

“…Deep neural networks play an important role in extracting valuable information from massive amounts of data. But these networks require huge computational and…”
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A Diabetes Prediction System Based on Federated Learning by Liu, Junzhe, Lu, Xi, Yang, Haolin, Zhuang, Lianzhi

“…In recent decades, with the rapid development of society, people's quality of life has improved, but the incidence of diseases such as diabetes has become more…”
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Comparative Research between Several Lightweight CNN Models for Non-intrusive Load Monitoring Using Transfer Learning Approach by Sun, Mingyang, Yang, Bokuan, Zheng, Zhe, Nie, Yuhu, Cui, Wenpeng, Liu, Rui, Chi, Yingying, Jing, Zhen

“…V-I trajectory is widely used as load signatures in non-intrusive load monitoring (NILM) problems. This paper proposes a simple but efficient method to obtain…”
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Design Method Of Frequency-Agile Radar Frequency Hopping Sequence Based On CNN Network And Chaotic Sequence by An, Pengfei, Shang, Zhengguo, Yan, Shi, Wang, Dehao

“…With the development of modern radar anti-jamming technology, frequency-agile radar has developed rapidly. To counter jamming signals, the operating frequency…”
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Research on the Identification of User Demands and Data Mining Based on Online Reviews by Shi, Pei-Yu, Yu, Jun-He

“…Acquiring user demand information is the key to product positioning. Understanding the demand difference between target market and user groups is more helpful…”
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Youtube Data Analysis using Linear Regression and Neural Network by Fan, Jiali, Lian, Tingru

“…The popularity of YouTube provides an effective way to propagate epidemic prevention knowledge by analyzing the video preferences of viewers from different…”
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A helmet wearing detection algorithm based on based on face localization by Yan, Pu, Chen, Chong

“…Many accidents occurred in the construction site are related to the improper wearing of helmet. Wearing helmet is an effective measure to reduce the injuries…”
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Research on flower image recognition algorithm by Lin, DeShu, Cheng, CaiFeng

“…Flower recognition is one of the task to distinguish the species of flowers. Since the species of flowers with a great of variety, it is a hard task to…”
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An Empirical Analysis of the Factors Influencing Food Waste in Harbin under the Heading One-person Food and Multi-person Food with Structural Equation Modeling by Lin, Yulv, Cui, Rui, Wang, Yupeng, Li, Jingyu, Wang, Tonghe

“…Food waste is becoming a significant problem around the globe, and the Chinese government implemented an Anti-Food Waste Law in April 2021. In response to this…”
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Research on Theory and Application of Solving Central Node in Complex Networks by Lu, Keer

“…The research on centrality in complex networks is an important branch in network security field, and the importance of a network node can be measured by its…”
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COVID-19 Pandemic Trend Prediction in America Using ARIMA Model by Shi, Yunhao, Wu, Kailiang, Zhang, Miao

“…COVID-19 trend prediction helps policymakers to handle disease situations. Therefore, it is necessary to predict the pandemic spread trend for prevention and…”
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