no code implementations • 5 Jul 2023 • Hari Prabhat Gupta, Rahul Mishra
This paper presents an end-to-end methodology for collecting datasets to recognize handwritten English alphabets by utilizing Inertial Measurement Units (IMUs) and leveraging the diversity present in the Indian writing style.
no code implementations • 30 Sep 2022 • Rahul Mishra, Hari Prabhat Gupta
During the training of lightweight DNN, we introduce a novel early halting technique, which preserves network resources; thus, speedups the training procedure.
no code implementations • 3 Sep 2022 • Rahul Mishra, Hari Prabhat Gupta, Tanima Dutta, Sajal K. Das
In this paper, we propose a federated learning approach to suppress the unequal distribution of the noisy labels in the dataset of each participant.
no code implementations • 3 Sep 2022 • Ashish Gupta, Hari Prabhat Gupta, Sajal K. Das
With the enhancement of people's living standards and rapid growth of communication technologies, residential environments are becoming smart and well-connected, increasing overall energy consumption substantially.
no code implementations • 5 Oct 2020 • Rahul Mishra, Hari Prabhat Gupta, Tanima Dutta
In this paper, we present a comprehensive review of existing literature on compressing DNN model that reduces both storage and computation requirements.
no code implementations • 6 May 2020 • Ashish Gupta, Hari Prabhat Gupta, Bhaskar Biswas, Tanima Dutta
As most of the approaches have solved the early classification problem with different aspects, it becomes very important to make a thorough review of the existing solutions to know the current status of the area.