stock trends. However, standard time series algorithms, which assume the data has linearity [34], often need more processing capabilities to handle complex and nonlinear stock data. In contrast, conventional machine learning algorithms exhibit strong nonlinear mapping capabilities that compensate for the...
Spatio-Temporal Field Neural Networks for Air Quality Inference. Yutong Feng, Qiongyan Wang, Yutong Xia, Junlin Huang, Siru Zhong, Yuxuan Liang. IJCAI 2024 [link] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting. Haotian Gao, Renhe Jiang, Zheng Dong, Jinliang Deng, Yu...
(2024). Microplastics in freshwater systems: Dynamic behavior and transport processes. Resources, Conservation and Recycling. He, Q., Siu, S. W., & Si, Y. (2022). Instance-based deep transfer learning with attention for stock movement prediction. Applied Intelligence, 53, 6887–6908. Article...
For a sample of individual banks in the East Asian nations during the years 1996–1997, Bongini et al. [68] compare the performance of accounting data, stock market prices, and credit ratings. The analysis demonstrates that stock market information underperforms in comparison to balance sheet ...
BMC Infectious Diseases (2024) 24:1181 Page 3 of 20 250 images were collected from the internet and live- stock offices in Ethiopia. Due to the large number of affected animals, early detection of LSD was necessary to save animals. Afterward, image augmentation (resca- ling, cropping, ...
This study used global monthly prediction SST data for 1991–2024, with a 1.1° × (0.27–0.54°) resolution. For convenience of comparison, the data were interpolated to the 1° × 1° resolution. 2.2. OISST v2.1 OISST v2.1 is a dataset released by NOAA, which is based on the ...
Funding The funding for the study was provide by the ministry of Jal Shakti, Government of India, under the Namami Ganga Mission-II, Fish conservation and stock enhancement of fishery of Ganga River basin project (Ad-35012/1/2023-NMCG-NMCG). ...
(purity > 98%, Cat. No. C6628, Sigma-Aldrich) were taken as positive controls. The stock solution of 20 mM concentration was prepared for all the drugs in DMSO except for CQ which was dissolved in water. Further dilutions for all drugs were made using NP-40/water (61.1 mM). ...
Thus, one of the most impactful and complex engineering challenges is to estimate the joint failure mode for a large number of structures in a given building stock. To this end, in the framework of the present study, ML classification algorithms were employed for this task. Emphasis was given...
in the industrial land area. For example, if the actual value is less than the safety threshold, the exploitation of land stock will be strengthened to achieve incremental development. Related relation chains for this scenario are “STPLTP → PPI”, “STPLEO → PPI”, and “PPI → FAIE”....