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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Sutharshan Rajasegarar

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#explainable ai Review Oct 2026

Privacy Preserved and Explainable Deep Medical Image Analysis: A Survey

Deep neural networks play a significant role in medical image analysis, particularly in improving the efficiency and accuracy of disease diagnosis and treatment planning. The ability to preserve the privacy of medical data opens the door to harnessing more information to train powerful and intelligent AI models. Howeve...

Linkon Chowdhury, Selvarajah Thuseethan, Yakub Sebastian et al. · 0 citations
Open access Aug 2026

From prediction to explanation for price–volume dynamics in real estate market

Accurate and interpretable real estate forecasting is difficult because housing markets contain heterogeneous price trends, irregular transaction volumes and horizon-dependent price–volume interactions. This study proposes an explainable Kolmogorov–Arnold network (EX-KAN) framework for price forecasting with joint la...

Dat Le, Sutharshan Rajasegarar, Wei Luo et al. · 0 citations
Jul 2026

A Resource Estimation Model for the Hardware-Software Co-Design of Distributed Quantum Architectures

An economic order quantity model from perishable inventory theory is proposed to optimize the trade-off between entanglement distribution latency and the time cost of decoherence, offering a dual application for the hardware-software co-design of high-performance DQC.

Raymond P. H. Wu, Chathurika Ranaweera, Sutharshan Rajasegarar et al. · 0 citations

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