no code implementations • 1 Jul 2023 • Kishore Babu Nampalle, Pradeep Singh, Uppala Vivek Narayan, Balasubramanian Raman
In the rapidly evolving landscape of medical imaging diagnostics, achieving high accuracy while preserving computational efficiency remains a formidable challenge.
no code implementations • 30 Jun 2023 • Kishore Babu Nampalle, Pradeep Singh, Uppala Vivek Narayan, Balasubramanian Raman
The proliferation of deep learning applications in healthcare calls for data aggregation across various institutions, a practice often associated with significant privacy concerns.
no code implementations • 27 Jun 2023 • Pradeep Singh, Kishore Babu Nampalle, Uppala Vivek Narayan, Balasubramanian Raman
In this paper, we propose a novel curriculum learning-based approach to train deep learning models to handle occluded medical images effectively.
no code implementations • 2 Jun 2023 • Ashish Rajanand, Pradeep Singh
In this paper, a novel activation function 'ErfReLU' has been developed based on the erf function and ReLU.
no code implementations • 17 May 2023 • Kishore Babu Nampalle, Pradeep Singh, Vivek Narayan Uppala, Sumit Gangwar, Rajesh Singh Negi, Balasubramanian Raman
In healthcare, accurately classifying medical images is vital, but conventional methods often hinge on medical data with a consistent grid structure, which may restrict their overall performance.
no code implementations • 15 Feb 2022 • Pradeep Singh, Upasana Buragohain, Nilanjan Senroy
This paper proposes a new non-iterative time-domain simulation approach using Differential Transform Method (DTM) to solve the set of non-linear Differential-Algebraic Equations (DAEs) involved in a DFIG-based wind power system.
no code implementations • 8 Nov 2021 • Guangshun Wei, Zhiming Cui, Jie Zhu, Lei Yang, Yuanfeng Zhou, Pradeep Singh, Min Gu, Wenping Wang
Results show that our method can produce tooth landmarks with high accuracy.
no code implementations • 25 Aug 2020 • Akanksha Baghel, Meemansa Rathod, Pradeep Singh
Software estimation is one of the most important activities in the software project.
no code implementations • 16 Apr 2020 • Deepak Singh, Dilip Singh Sisodia, Pradeep Singh
Biomedical data is filled with continuous real values; these values in the feature set tend to create problems like underfitting, the curse of dimensionality and increase in misclassification rate because of higher variance.