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Amit Pimpalkar

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Open access Aug 2026

Volatility-adaptive temporal learning framework using hybrid ARIMA-QuadGRU attention for multi-regime financial forecasting

The results justify the proposed regime switching hybrid approach as a scalable forecasting methodology for financial time-series accounting for the regime change in market conditions and provide investors, portfolio managers, and financial analysts with a practical tool to support their investment decisions in volatil...

Amit Pimpalkar, Rachna K. Somkunwar, Nilesh Shelke et al. · 0 citations
Open access Aug 2026

A robust CurvLaneNet-YOLO framework for real-time lane curvature estimation and vehicle detection in intelligent transportation applications

The results presented in this study show promising potential to integrate into a driver-assistance system, although the data used here is limited to a proof-of-concept validation on the KITTI dataset.

Amit Pimpalkar, Pranali Dandekar, Harika Vanam et al. · 0 citations
Open access Aug 2026

A fairness-aware multi-objective integrated deep learning framework for intelligent tutoring systems

This work develops a mathematically robust framework of deep optimization with multiple objectives to ensure equity is maintained and carried forward across the tutoring lifecycle and achieves up to 67% lower learning gain disparity and 56% greater stability of dispersion in learning-gap distributions.

A. Khan, Amit Pimpalkar, Tabassum H. Khan et al. · 0 citations
Open access Jul 2026

A blockchain-enabled multi-objective reinforcement learning framework for secure energy- and time-efficient smart path planning in cloud environments.

The proposed BlockE2T-MORL offers a scalable, privacy-preserving, and computationally lightweight solution for next-generation intelligent path planning in cloud-based autonomous systems.

Revati Raman Dewangan, D. Thombre, Vivek Parganiha et al. · 0 citations

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