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Chandan Kumar Choubey

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Open access Aug 2026

Crime prediction before during and after COVID 19 using machine learning and RNN LSTM models

One of society’s foremost challenges is crime, and over the years, statistical methods have been employed for crime prediction, albeit with limited success rates. Recently, the utilization of machine learning and deep learning algorithms has significantly improved the precision of crime forecasting. However, existing s...

Mohammed Abdul Shafee, N. A. Shelke, Rohit Agrawal et al. · 0 citations
Open access Jul 2026

A 3D residual U-Net with attention-driven spatial pyramid pooling for accurate multimodal MRI brain tumor segmentation

Experimental results demonstrate that the proposed 3D U-Net achieves superior performance, with a Dice coefficient of 0.83 and a Jaccard index of 0.82, outperforming baseline models across all evaluation metrics, indicating strong generalization capability.

Retinderdeep Singh, C. Prabha, Navita Gupta et al. · 0 citations

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