- 2024
- Limin Cao
, Yuxia Hu, Fudong Nian:
Semi-supervised Crowd Counting in Dense Scenes via Self-training. GAIIS 2024 - Yue Chang, Xiaolin Zhao, Mingzhe Pei, Zhenyan Liu:
GUCN: A machine learning model combining time series features for malicious network behavior detection. GAIIS 2024 - Tianyi Chen:
The Impact of AI-Pair Programmers on Code Quality and Developer Satisfaction: Evidence from TiMi studio. GAIIS 2024 - Kang Chen, Shanshan Chen, Bing Cao, Menglong Wang, Lang Pei:
Research on PCB Flying Needle Test Technology Based on Improved Ant Colony Algorithm. GAIIS 2024 - Peng Du, Xudong Song:
Lightweight Target Detection: An Improved YOLOv8 for Small Target Defect Detection on Printed Circuit Boards. GAIIS 2024 - Xiao Du, Jing Zhou, Xu Gao:
Numerical Simulation of Receiving Transducer for Impulse Sound Source Depth Detection. GAIIS 2024 - Qiang Fang:
On The Performance of EMA-Synchronized Speech and Stand-alone Speech in Speech Recognition and Acoustic-to-Articulatory Inversion. GAIIS 2024 - Huilin Fang, Zhiguo Zhou:
Research on acoustic Model of Putian Dialect Speech Recognition Based on Deep Learning. GAIIS 2024 - Guanghui Gao, Dapeng Deng, Gang Shi, Yining Guo, Zhaole Ning:
Research on Methodology of Intelligent Traffic Accident Detection based on Enhanced YOLOv8 Algorithm. GAIIS 2024 - Ningnan Guo:
Analyzing the Application and Key Factors of CycleGAN in Style Transfer between Chinese Ink Paintings and Van Gogh's Artworks. GAIIS 2024 - Jiaren Guo, Zihao Huang, Yanyun Tao:
Multispectral pedestrian detection based on UNet and attention mechanism. GAIIS 2024 - Songming Han, Jieke Lu, Shaofeng Ming:
Hardcoded Vulnerability Mining Method in a Simulated Environment Based on Router Backdoor Detection Technology. GAIIS 2024 - Lin Hu, Jiandong Zhang, Mingzhi Mao:
Analysis of Traffic Flow Prediction Based on Historical Highway Traffic Volume. GAIIS 2024 - Yaqing Huang, Zhe Dong, Junpeng He:
Unsupervised Industrial Internet Time Series Anomaly Detection Based on Reinforcement Learning. GAIIS 2024 - Lianyuan Jiang, Jinlong Chen:
A Meta Learning Few Shot Object Detection Algorithm Based on PRN-FPN. GAIIS 2024 - Bo Jin:
Multilingual Neural Machine Translation with Integrated Language Adapters. GAIIS 2024 - Bo Jin:
Neural Machine Translation based on Semantic Word Replacement. GAIIS 2024 - Wenbo Li:
Multi-objective optimization of the route problem for hazardous goods transportation. GAIIS 2024 - Hong Li:
Research and application of neural network algorithm based on Water supply and drainage pipeline network. GAIIS 2024 - Hong Li:
Research and application of network analysis algorithms based on underground pipeline networks. GAIIS 2024 - Mingjuan Li, Huimei Chen, Bingda Yan, Qingzhen Xu, Qiang Chen:
Research on Stock Volatility Prediction Using Attention Mechanism Enhanced GRU Ensemble Model. GAIIS 2024 - Zhengle Li, Ying Pan, Tonglin Zhang, Yan Zhou, Xinying Huang, Xiaolong Chai:
Analysis of Infringement Determination Methods in Personal Information Protection Disputes Based on Machine Learning. GAIIS 2024 - Jiangnan Li, Shuo Zhang, Jian Song, Manpo Li, Li Sun, Jiantao Wu:
Product Requirements Reliability Analysis Based on Review Data and Entropy Weight TOPSIS. GAIIS 2024 - Xin Liang, Maoting Gao:
The road crack detection algorithm improved based on YOLOv7. GAIIS 2024 - Bao Liu, Zhenxin Cai:
Based on channel and time attention convolutional network for motor imagery electroencephalogram decoding. GAIIS 2024 - Haiyang Liu, Yuan Feng:
A log parsing method based on word attributes and parsing trees. GAIIS 2024 - Bao Liu, Zhi Qi:
Extracting features for enhanced air quality prediction: a self-tuning spatio-temporal residual network approach fusing adaptive adjacency matrix and attention mechanism. GAIIS 2024 - Chen Liu, Yizhuo Wang:
MDPo: Offline Reinforcement Learning Based on Mixture Density Policy Network. GAIIS 2024 - Bao Liu, Fengran Wang:
Enhanced Bearing Fault Diagnosis under Strong Noise: An improved Inception Inverted Residual Ghost ShuffleNet. GAIIS 2024 - Wenzhao Liu, Kuiwu Yang, Yue Chen, Huanyao Dai:
Exploring Robustness under New Adversarial Threats: A Comprehensive Analysis of Deep Neural Network Defenses. GAIIS 2024
