The current research introduces a novel approach by leveraging machine learning to accurately predict the maximum displacement of composite slabs with profiled decks, thereby offering a simpler and more efficient alternative to physical testing. Artificial neural networks (ANNs) utilized specifically to ...
As Kingsum was a senior leader in the industry for more than 20 years, SPAIL has established research collaborations with major tech giants in the industry, spanning from cloud computing to software hardware co-optimization. Students can work on research projects solving real-world problems. There...
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The simplified blast load for near‐explosion or internal explosion will bring a big error to the calculation results. To quickly determine the load on the structure surface under the action of underwater near the explosion, this study studies the interaction between water hammer ...
This paper considers the steel reheating process, in which cold slabs are reheated to a temperature suitable for hot rolling operations. Temperature uniformity within the slab is very important during reheating, as non-uniformities often lead to quality concerns in the later stages of the ...
Results: We proposed a novel stacking strategy based on a non-negative spike-and-slab Lasso (nsslasso) generalized linear model (GLM) for disease risk prediction in the context of high-dimensional omics data. Briefly, we used prior biological knowledge to segment omics data...
In contrast to quasi-static situations, dynamic impacts introduce impulsive loading that must be carefully addressed by considering the strain-rate characteristics of materials. Theperformance of reinforced concrete (RC) slabs with opening(s) subjected to such loading is an important topic of ...
The simulated bottom strains at concrete pavement slabs wereanalysed for different void sizes and loading conditions. A coefficient and its warning thresholds wereproposed to predict the occurrence of voids. Then, two Genetic Algorithm Backpropagation (GA-BP)neural network models were developed to ...
This study aimed to enhance the design of flat slabs by utilizing the capabilities of machine learning and metaheuristic optimization. Besides, the main aim of this study was to develop a robust predictive model for estimating punching shear strength, which is a crucial factor in the design of ...
在日志解析方面,提出了基于树的日志模板表示和解析算法,准确性超越同类算法,成果发表在SIGMOD'2024。提出了基于大模型的日志解析算法,成果发表在ICSE'2024。在日志数据管理方面,提出了基于模板的日志压缩算法,达到超过95%的日志压缩率。成果在银联、交通银行等多家企业应用落地。