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K. Saisri

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Open access Aug 2026

Design And Implementation Of An XNOR-Based Variable-Precision Object Detection Accelerator For Real-Time Edge AI Applications

A hardware-efficient object detection accelerator based on XNOR-driven variable-precision computation for real-time edge artificial intelligence that reduces arithmetic complexity, memory bandwidth, and power consumption while supporting scalable real-time object detection on FPGA-based edge platforms.

Javeed Md, Srinivasa Reddy Dumpa, K. Saisri et al. · 0 citations

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