Timely and accurate identification of depressive and anxiety disorders has been a perennial problem with clinical settings because of their nonspecific manifestation and dynamic patterns of symptoms. This paper presents a Multimodal Temporal Evidential Graph Transformer (MTEGT), a single deep learning platform that is...
Tharakesavulu Vangalapat, Vandana Roy, Preeti Dubey et al.· International Workshop on Ar...· 0 citations
The growing use of interconnected and digital systems in clinical settings has increased the necessity of smart and robust protection systems that can assume extremely rigid privacy and reliability requirements. This paper presents the GuardianMesh: Anomaly-Resilient Federated Orchestration (GM-ARFO) a new AI-based thr...
Ramgopal Kashyap, Vrince Vimal, Vikalp Sharma et al.· 2026 International Conferenc...· 0 citations
Sound prediction of existence of future generation based on stochastic sources is a critical issue because of high nonlinearities, high transitions in the environment, and the nature of inherent uncertainty in observational information. The paper proposes an integrated architecture of deep learning, which is the Hierar...
Bal Krishna Saraswat, Sonu Lal, Anshu Malhotra et al.· 2026 International Conferenc...· 0 citations
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