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Promising Deep Semantic Nuclei Segmentation Models for Multi-Institutional Histopathology Images of Different Organs
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-06)
Nuclei segmentation in whole-slide imaging (WSI) plays a crucial role in the field of computational pathology. It is a fundamental task for different applications, such as cancer cell type classification, cancer grading, ...
A Novel Smart Grid State Estimation Method Based on Neural Networks
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2018-06)
The rapid development in smart grids needs efficient state estimation methods. This paper presents a novel method for smart grid state estimation (e.g., voltages, active and reactive power loss) using artificial neural ...
Machine Learning Based Method for Estimating Energy Losses in Large-Scale Unbalanced Distribution Systems with Photovoltaics
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-12)
In the recent years, the penetration of photovoltaics (PV) has obviously been increased in unbalanced power distribution systems. Driven by this trend, comprehensive simulation tools are required to accurately analyze ...