An efficient brain tumor segmentation model based on group normalization and 3D U‐Net
R Chen, Y Lin, Y Ren, H Deng, W Cui… - International Journal of …, 2024 - Wiley Online Library
Accurate segmentation of brain tumors has a vital impact on clinical diagnosis and
treatment, and good segmentation results are helpful for the treatment of this disease, which …
treatment, and good segmentation results are helpful for the treatment of this disease, which …
GIS and Machine Learning Models Target Dynamic Settlement Patterns and Their Driving Mechanisms from the Neolithic to Bronze Age in the Northeastern Tibetan …
G Li, J Dong, M Che, X Wang, J Fan, G Dong - Remote Sensing, 2024 - mdpi.com
Traditional GIS-based statistical models are intended to extrapolate patterns of settlements
and their interactions with the environment. They contribute significantly to our knowledge of …
and their interactions with the environment. They contribute significantly to our knowledge of …
PM2. 5 Concentration Forecasting in the Kolkata Region with Spatiotemporal Sliding Window Approaches
Amid rapid urbanization in Kolkata, a city in India, forecasting air pollution, particularly PM2.
5 concentrations, stands as a critical challenge. In response, this study introduces a novel …
5 concentrations, stands as a critical challenge. In response, this study introduces a novel …
Small Sample Time Series Classification Based on Data Augmentation and Semi-supervised Learning
Realistic scenarios produce labeled data and unlabeled data, however, there are significant
challenges in labeling time series data. It is imperative to effectively integrate the …
challenges in labeling time series data. It is imperative to effectively integrate the …