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Multiplierless In-filter Computing for tinyML Platforms
Wildlife conservation using continuous monitoring of environmental factors and biomedical classification, which generate a vast amount of sensor data, is a challenge due to limited bandwidth in the case of remote monitoring.
In-filter Computing For Designing Ultra-light Acoustic Pattern Recognizers
We present a novel in-filter computing framework that can be used for designing ultra-light acoustic classifiers for use in smart internet-of-things (IoTs).
Multiplierless MP-Kernel Machine For Energy-efficient Edge Devices
We present a novel framework for designing multiplierless kernel machines that can be used on resource-constrained platforms like intelligent edge devices.
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