Oculomics represents a transformative paradigm in non-invasive diagnostics, leveraging deep learning to extract quantitative vascular and structural biomarkers from retinal fundus photographs for systemic health assessment. This study presents a Multi-Task Deep Learning Framework for concurrent Chronic Kidney Disease (...
A. N. Mahathi Bhat, Ravikumar M. N., S. N et al.· 2026 International Conferenc...· 0 citations
Apple leaf disease detection is of critical importance for enhancing productivity in agriculture while reducing losses caused by diseases. Conventional apple leaf disease detection techniques are often inefficient and inaccurate because of environmental factors and the similarity of symptoms in the early stages of dise...
S. Sanjaay, V. S. Kirithic Adhithya, I. S et al.· 2026 International Conferenc...· 0 citations
This study presents a graph-based explainable artificial intelligence framework for social network analysis, integrating graph neural models with SHAP (Shapley Additive Explanations) and other post-hoc explanation techniques. The framework is evaluated on the Stanford Network Analysis Project (SNAP) Facebook Dataset co...
S. K, Sagar Dhanraj Pande, G. H et al.· 2026 7th International Confe...· 0 citations
Autonomous agents—systems that make independent decisions without human input—are foundational to modern robotics and enable intelligent responses in dynamic situations. In this work, a hybrid agent-based system that integrates software agents, or programs that represent users with multiple decision-making modules. The...
S. K, Sheetal Kusal, Usha Desai· 2026 6th International Confe...· 0 citations
Accurate channel estimation remains a fundamental bottleneck in the performance of any coherent Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) receiver, particularly when the system is required to operate over a wide range of signal-to-noise ratios (SNRs) and under multipath fadin...
Twinkle Srusti J. K, Padmajadevi G, Deepika K. C. et al.· 2026 6th International Confe...· 0 citations
Compact 28/38 GHz mmWave antennas enable high-performance 5G MIMO communications. This paper presents the design and optimization of 28/38 GHz millimeter-wave (mmWave) antennas for high-performance 5G applications. The proposed antennas utilize patch and MIMO array configurations on low-loss substrates like Rogers RT58...
M. S., Sushma N, Deepika K. C. et al.· 2026 International Conferenc...· 0 citations
The rapid expansion of cloud computing and large-scale data centers has significantly increased energy consumption and carbon emissions, creating critical sustainability concerns for modern computing infrastructures. This paper proposes the Adaptive Carbon-Aware Virtualized Energy-efficient Scheduling (ACAVES) framewor...
S. K, Kishore Bitra, Usha Desai· 2026 International Conferenc...· 0 citations
Diabetes has become a health problem worldwide. It often goes unnoticed until it causes health issues. Finding diabetes early using a lot of health and personal data can help reduce the diseases impact and healthcare costs. This study proposes a machine learning system for diabetes prediction. This system uses techniqu...
Thatikonda Krishna Kalyan Gupta, Oruganti Yashwanth Reddy, I. S et al.· 2026 International Conferenc...· 0 citations
Quantum machine learning (QML) faces practical limitations due to noisy intermediate-scale quantum (NISQ) constraints, including noise, restricted qubit availability, and unstable optimization. This paper proposes HyQNet, a resource-aware hybrid quantum–classical framework designed to address these challenges through e...
Sudheer Reddy K., Hastimal Jangid, Usha Desai· 2026 International Conferenc...· 0 citations
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