13 papers
Amplifying the imaging power of digital sky surveys with space telescopes data and generative AI
Sai Teja Erukude, Lior Shamir
While Digital sky surveys provide excellent throughput of image data and can cover a large footprint, their imaging power is normally inferior to that of space-based telescopes. Sp…
From ARIMA to Attention: Power Load Forecasting Using Temporal Deep Learning
Suhasnadh Reddy Veluru, Sai Teja Erukude, Viswa Chaitanya Marella
Accurate short-term power load forecasting is important to effectively manage, optimize, and ensure the robustness of modern power systems. This paper performs an empirical evaluat…
AI-Driven Cybersecurity Threats: A Survey of Emerging Risks and Defensive Strategies
Sai Teja Erukude, Viswa Chaitanya Marella, Suhasnadh Reddy Veluru
Artificial Intelligence's dual-use nature is revolutionizing the cybersecurity landscape, introducing new threats across four main categories: deepfakes and synthetic media, advers…
CornViT: A Multi-Stage Convolutional Vision Transformer Framework for Hierarchical Corn Kernel Analysis
Sai Teja Erukude, Jane Mascarenhas, Lior Shamir
Accurate grading of corn kernels is critical for seed certification, directional seeding, and breeding, yet it is still predominantly performed by manual inspection. This work intr…
FedOnco-Bench: A Reproducible Benchmark for Privacy-Aware Federated Tumor Segmentation with Synthetic CT Data
Viswa Chaitanya Marella, Suhasnadh Reddy Veluru, Sai Teja Erukude
Federated Learning (FL) allows multiple institutions to cooperatively train machine learning models while retaining sensitive data at the source, which has great utility in privacy…
Multimodal Detection of Fake Reviews using BERT and ResNet-50
Suhasnadh Reddy Veluru, Sai Teja Erukude, Viswa Chaitanya Marella
In the current digital commerce landscape, user-generated reviews play a critical role in shaping consumer behavior, product reputation, and platform credibility. However, the prol…