This study proposes a deep learning-based framework for the automated detection of asthma and chronicobstructive pulmonary disease (COPD) using respiratory sound analysis. Breath sound recordings are preprocessedthrough resampling, silence trimming, and Wiener filtering to enhance signal quality. Short-Time Fourier Tra...
G. Karthik, D. L. Padmaja, N. Medikondu et al.· International Journal of Ima...· 0 citations
Accurate short-term cloud motion forecasting is essential for applications such as weather nowcasting, aviation safety, renewable energy management, and disaster response, yet traditional numerical weather prediction models remain computationally intensive and limited in capturing fine-scale cloud dynamics. This paper...
P. Menon, Blaze Jose, Megha T. S. et al.· International Conference Inn...· 0 citations
Although Large Language Models (LLMs) and multimodal AI are quickly expanding the capabilities of embodied agents, real world robotic systems continue to face major challenges: the high cost of hardware, inflexible interaction models, and excessive dependence on cloud computing. We will address these challenges by prop...
Amruth Krishna K, Mohammed Sabil C, Mohammed Shamnas K et al.· International Conference Inn...· 0 citations
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