总体来说,Neural Computing & Applications位于中科院3区,影响因子分数处于上升趋势。审稿较慢,录用难度较大,国人发文量排名第一,对国人友好。 推荐指数三颗星。 资料来源:Web of Science、期刊官网、Journal Citation Reports、LetPub SCI论文一站式服务|翻译润色|协助发表|返修指导|评审|图表|投稿 欢迎私信~ https:...
作为国际上神经计算与应用领域知名SCI期刊之一，《Neural Computing & Applications》创刊于1993年，由Springer London出版的季刊，致力于发表关于神经系统、进化算法、模糊逻辑、神经模糊系统等领域的高水平论文，汇集了众多重大工业领域应用的成功案例。根据期刊官网显示，哈尔滨工业大学深圳研究生院计算机系的张海军教授为该...
Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis 2025, Computers Innovative Financial Fraud Detection: Combining GCRNN and DiffPool with N-Way K-Shot Classification Techniques 2024, 3rd International Conference on Automation, Computing and Renewable Sy...
Microsoft uses machine learning and optimization to reduce E-Commerce fraud INFORMS Journal on Applied Analytics, 50 (1) (2020), pp. 64-79 CrossrefView in ScopusGoogle Scholar 12. E. Kurshan, H. Shen Graph computing for financial crime and fraud detection: Trends, challenges and outlook Inte...
The computational complexity needed for neural network analyses is considerably reduced compared to other algorithms and it also significantly improves computing precision. Concomitantly, the high fault tolerance of CNNs allows the use of incomplete or fuzzy background images, thereby effectively enhancing ...