Research ethics committees as knowledge gatekeepers: The impact of emerging technologies on social science research by Anu Masso, Jevgenia Gerassimenko, Tayfun Kasapoglu, Mai Beilmann

Subjects: “…Research ethics…”
Get full text

Research on path planning of mobile robot in complex environment by Haibin Liu, Jingjing Cao, Zhiyuan Wang

Get full text

Research Status of Control Strategy for Hybrid Electric Vehicle by He Xiaolu, Bao Jiusheng, Yin Yan, Ma Chi

Get full text

Research on timing method for single intersection in transportation Internet of things based on improved Webster algorithm by Lin MA, Fuyang CHEN, Bin JIANG

Get full text

Research on Scheduling Algorithm of Agricultural Machinery Cooperative Operation Based on Particle Swarm Neural Network by Wei Li

Get full text

Research on Wavelength Algorithm for Cross-Layer Routing in Software Defi ned Satellite Optical Network by Hai LI, Shanghong ZHAO, Yongjun LI, Cong PENG

Get full text

Research on hybird speech compression coding algorithm based on IP packet splitting and reassembling technology by Li Lingyun, Li Xiaoke, Chen Yizhao, Wang Guofa, Wang Hui

Get full text

Research on UAV Conflict Detection and Resolution Based on Tensor Operation and Improved Differential Evolution Algorithm by Zhichong Zhou, Guhao Zhao, Yiru Jiang, Yarong Wu, Jiale Yang, Lingzhong Meng

Get full text

Research on anomaly detection algorithm based on sparse variational autoencoder using spike and slab prior by Huahua CHEN, Zhe CHEN

“…Anomaly detection remains to be an essential and extensive research branch in data mining due to its widespread use in a wide range of applications.It helps researchers to obtain vital information and make better decisions about data by detecting abnormal data.Considering that sparse coding can get more powerful features and improve the performance of other tasks, an anomaly detection model based on sparse variational autoencoder was proposed.Firstly, the discrete mixed modelspike and slab distribution was used as the prior of variational autoencoder, simulated the sparsity of the space where the hidden variables were located, and obtained the sparse representation of data characteristics.Secondly, combined with the deep support vector network, the feature space was compressed, and the optimal hypersphere was found to discriminate normal data and abnormal data.And then, the abnormal fraction of the data was measured by the Euclidean distance from the data feature to the center of the hypersphere, and then the abnormal detection was carried out.Finally, the algorithm was evaluated on the benchmark datasets MNIST and Fashion-MNIST, and the experimental results show that the proposed algorithm achieves better effects than the state-of-the-art methods.…”
Get full text

Research on Reliability-Oriented Data Fusaggregation Algorithm in Large-Scale Probabilistic Wireless Sensor Networks by Hai-xia Peng, Hai Zhao, Da-zhou Li, Shuai-zong Si, Wei Cai

“…A lot of facts show that many researches just place emphasis on data aggregation or data fusion, which is not beneficial to analyze the sensed data thoroughly and will lead to the aggregation results' not being used fully; worse yet, the actual networks are always existed with lossy links; many now available aggregation algorithms are based on ideal network models and not any further analysis and fusion about aggregation results are done. …”
Get full text

Research on Audit Risk Prediction in Enterprise Management Based on Optimized BP Neural Network Algorithm by Wang Mingming

“…After understanding the current research status of enterprise management audit risk prediction, this paper mainly discusses the risk assessment model of audit material misstatement based on the optimized B neural network algorithm based on the BP neural network algorithm and the basic concepts of enterprise audit work, and conducts verification and analysis based on practical cases, and finally proves that the prediction results of the model are effective and scientific, which is worthy of application in enterprise management.…”
Get full text

Research on path planning for mine rescue UAV based on improved Artificial Jellyfish Search algorithm by ZHENG Xuezhao, DIAO Chengze, CAI Guobin, WEN Hu, YANG Bo, HOU Zongxuan, MOU Haowei

Get full text

Research and Application of a Multitarget Detection Algorithm Based on Improved YOLOv8 for Indoor Objects by Yanzhen Wang, Wei Wang, Xiaolong Zhou, Xubin Dong, Jianyong Li, Qi Zhao, Xinyu Yang, Yao Wang

Get full text

Research on Key Parameters of Spatial Filter Velocity Measurement Algorithms Based on Linear Array CCD by Fei WANG, Chengrui ZHAO, Liangguang ZHENG

Get full text

Research on Static/Dynamic Global Path Planning Based on Improved A∗ Algorithm for Mobile Robots by Huifang Bao, Jie Fang, Chaohai Wang, Zebin Li, Jinsi Zhang, Chuansheng Wang

Get full text

Correction: Research on building energy consumption prediction algorithm based on customized deep learning model by Zheng Liang, Junjie Chen

Get full text

Research on multi-stage optimization planning of power internet of things based on seagull optimization algorithm by Peng Ye, Guanxian Liu, Shuo Yang, Shaotao Guo, Huan Wang, Yi Zhao, Mingli Zhang

Get full text

Research on Improved Bridge Surface Disease Detection Algorithm Based on YOLOv7-Tiny-DBB by Haichao An, Ying Fan, Zhuobin Jiao, Meiqin Liu

Get full text

Research on the Time-varying Meshing Stiffness Algorithm of Spur Gears with Large Tooth Number Cracks by Jiao Wei, Xu Kejun, Qin Haiqin

Get full text

Research on a forward‐looking scanning imaging algorithm for a high‐speed radar platform by Sijia Liu, Minghai Pan

Get full text