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Author

Srinivasa Reddy Dumpa

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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
#edge computing Open access Aug 2026

Design And Implementation Of An ADC/DAC-Free Walsh-Hadamard Transform Based Neural Network Accelerator Using Bit-Plane Processing

An ADC/DAC-free neural accelerator based on the Walsh-Hadamard Transform and bit-plane processing that offers a multiplier-free, converter-free, regular, and scalable solution for low-power edge intelligence.

Srinivasa Reddy Dumpa, M. Rani, Edudula Manisha et al. · 0 citations

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