Quantum-classical Hybrid Machine Learning (ML) workflow suffer from orchestration challenges owing to static QPU resource management, resulting in inefficient resource usage and unpredictable latency. We propose HQC-Orch, an intermediary software stack that dynamically orchestrates ML computation among QPUs and classic...
Kundan Sagar Bedmutha, R. Jagdale· International Conference on...· 0 citations
Pregnancy related complications are one of the top causes of morbidity for both mother and child worldwide. In low-and middle-income countries, where access to antenatal care is limited, timely and accessible symptom triage is especially important. This paper presents MaternaAI, a Multimodal intelligent pregnancy compa...
Kundan Sagar Bedmutha, Riddhi Kothari, Bhoomi Budhani et al.· International Conference on...· 0 citations
Identifying the sincerity of apologies in multilingual and code-switched environments is a difficult task due to the challenges posed by varying languages and cultures and the implicit nature of pragmatic markers of sincerity. In this paper, we propose a hybrid model based on XLM-RoBERTa contextual embeddings augmented...
Kundan Sagar Bedmutha, Rajkumar Jagdale· 2026 International Conferenc...· 0 citations
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