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Aniket K. Shahade

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#generative ai Review Open access Sep 2026

A Survey of conversational AI from rule based to generative and retrieval augmented generation chatbots

This survey presents a structured, design-oriented analysis of RAG-driven conversational systems through a principled framework that decomposes architectures along critical dimensions, including document segmentation and chunking strategies, embedding and indexing mechanisms, retriever and re-ranking models, knowledge...

V. Ghaywat, Abhyuday Singh, Aniket K. Shahade et al. · 0 citations
Open access Aug 2026

Deepfakebuster: a confidence-calibrated adaptive ensemble framework for robust Deepfake image detection

DeepFakeBuster is presented as a confidence-calibrated adaptive ensemble for deepfake image detection by fusing together heterogeneous deep learning models built around detecting complementary forensic cues e.g., spatial inconsistencies, boundary artifacts, noise residuals, semantic consistency, and frequency-domain fe...

Rachana Patil, R. Shinde, S. Patil et al. · 0 citations
Open access Aug 2026

GreenAirOps: production-ready MLOps for real-time air quality index prediction

GreenAirOps is a production-ready MLOps system that ingests multithsource environmental data, automatizes preprocessing and feature extraction, and combines Random For- est and XGBoost with ensemble learning for prediction of low-latency, near real-time AQI.

Sahil Goyal, Vaibhav Sharma, Vivek Hotchandani et al. · 0 citations
Conference Jul 2026

Deep Learning Techniques for Citrus Disease Detection: A Comprehensive Review

Citrus crops are economically vital worldwide, yet they remain highly susceptible to a range of infectious diseases that cause considerable yield and quality losses each year. Early and accurate disease identification is fundamental to sustainable orchard management and food security. Over the past decade, deep learnin...

Aniket K. Shahade, Vishal Jain, G. Manteghi et al. · 0 citations

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