Amit Pimpalkar

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

Abstract Conventional financial market forecasting models are challenged by the non-stationarity, the existence of regime changes, the presence of structural breaks, and the phenomena of volatility clustering in financial markets. Linear approaches have only limited accuracy in t...

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

Abstract Current road safety systems face challenges in detecting curved roads and vehicles under varying lighting and weather conditions, leading to lane departure and collision risks. To address this, we propose CurvLaneNet-YOLO, a deep learning framework based on YOLOv8 that s...