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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

Johnson Kolluri

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Conference Aug 2026

Federated Continual Meta-Learning and Graph Neural Network-Based Predictive Self-Healing Framework for Privacy-Preserving Hybrid Iot Communications

The rapid expansion of heterogeneous Internet of Things (IoT) applications has created a demand for communication frameworks that are simultaneously private, adaptive, and resilient to failure. Centralized optimization schemes struggle to meet these requirements, as they raise privacy concerns, create single points of...

Sandhya R, Johnson Kolluri · 0 citations
Conference Aug 2026

Self-Supervised Transformer Model for Intelligent Predictive Disaster Risk Maintenance Through Early Alerts

Accurate and timely prediction of natural disasters remains difficult because of complex spatio-temporal dynamics and the heterogeneity of environmental data. This paper presents a Transformer-based multimodal framework for early disaster forecasting that integrates seismic signals, atmospheric parameters, and satellit...

Dannuri Mounika, Johnson Kolluri, B. S. Srininvas et al. · 0 citations
Conference Aug 2026

A Clinically Validated Explainable Federated Multi-Modal Learning Framework for Privacy Preserving Cardiac Arrhythmia Classification in Heterogeneous Data Environments

Cardiac arrhythmia is a leading cause of morbidity worldwide, and automated electrocardiogram (ECG) classification has become an essential tool for early screening and triage. Two barriers separate research prototypes from clinical deployment: patient data cannot be centralized due to privacy regulations (HIPAA, GDPR),...

B. R, Johnson Kolluri · 0 citations
Conference Aug 2026

Digital Twin-Enabled Explainable Multi-Agent Deep Reinforcement Learning for Adaptive Cross-Layer Hybrid IoT Communication Networks

The explosive growth of heterogeneous Internet of Things (IoT) applications has posed great challenges in realizing energy-efficient, reliable, and adaptive communication in highly dynamic network environments. Traditional communication optimization techniques usually suffer from static decision making, poor scalabilit...

Sandhya R, Johnson Kolluri · 0 citations
Conference Aug 2026

Computer Vision-Based Stroke Lesion Detection and Prognosis Prediction Using Deep Learning

In this paper, a novel hybrid Swin Transformer and convolutional neural network (CNN) encoder-decoder, called StrokeDL-Net, is proposed for accurate multimodal brain MRI lesion segmentation and a temporal multi-modal fusion network, called ProgNet, is proposed for 90-day functional outcome prediction via the modified R...

Burgula Sowmya, Johnson Kolluri, P. Shailaja · 0 citations
Conference Aug 2026

A Multimodal Earth Digital Twin Framework with Causal AI for Autonomous Climate Intervention Planning

Climate change is among the most pressing challenges of the twenty-first century, demanding decision-support tools that are scientifically grounded, data-rich, and capable of evaluating the consequences of interventions rather than merely forecasting trends. Existing AI-driven climate platforms largely rely on correlat...

Vishala Pathapalli, Johnson Kolluri · 0 citations
Conference Jul 2026

Multimodal Context-Enriched Visual Representation Learning for Enhanced Vision–Language Image Captioning

Image captioning models can produce rapid Sentences, without visual relationships, or insert non-existing plausible objects. A common cause is to compress image evidence into visual symbols that carry a weak neighbourhood context. The multimodal context-enhanced visual representation learning framework (MCVRL) addresse...

E. Divya, Johnson Kolluri, Kiran Siripuri · 0 citations

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