Reconstructing terrestrial water storage anomalies using convolution-based support vector machine

Ikechukwu Kalu / Christopher E. Ndehedehe / Onuwa Okwuashi et al. | DOAJ | 2023

Reconstructing GRACE-derived terrestrial water storage anomalies with in-situ groundwater level measurements and meteorological forcing data

Peijun Li / Yuanyuan Zha / Chak-Hau Michael Tso | DOAJ | 2023

Reconstructing GRACE-derived terrestrial water storage anomalies with in-situ groundwater level measurements and meteorological forcing data

Li, Peijun / Zha, Yuanyuan / Tso, Chak-Hau Michael | Elsevier | 2023

Reconstructing Extended Irregular Anomalies in Pipelines Using Layer-Peeling with Optimization

Zeng, Wei / Gong, Jinzhe / Zecchin, Aaron C. et al. | ASCE | 2023

Smart Diagnosis of Adenocarcinoma Using Convolution Neural Networks and Support Vector Machines

Balasundaram Ananthakrishnan / Ayesha Shaik / Shubhadip Chakrabarti et al. | DOAJ | 2023