In this paper, a Hybrid Residual Attention Transformer U-Net (HRAT-UNet) model is proposed to solve the problem of accurate and interpretable brain tumor segmentation. In the proposed framework author have implemented Adaptive Frequency-Spatial Normalization (AFSN) with the aim of improving tumor-specific spectral feat...
Srinivas Babu Gottipati, Syed Fouzaan Albeez, S. Garg et al.· International Conference Inn...· 0 citations
A novel framework to address the challenges faced in cloud infrastructure, named Reinforcement Learning-based Zero Trust with Trust Score (RLZT-TS) architecture, which integrates an RL algorithm, a dynamic trust scoring (DTS) model, and a Zero Trust architecture (ZTA) in a hybrid cloud mesh infrastructure.
Mohit Tiwari, D. Prabakar, G. Manikandan et al.· International journal of sof...· 0 citations
The Sudden equipment failures are common in industrial systems, which means more downtime and higher maintenance costs. A Smart AI-Integrated Predictive Maintenance and Condition Monitoring System is proposed to solve this problem. It will allow for real-time monitoring and early fault detection in industrial machines....
V. R. Kumar, P. Poornima, M. Abinesh et al.· International Conference on...· 0 citations
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