12 citations · 33 across the 6 of their papers we have counts for
6 papers
CTVR-EHO TDA-IPH Topological Optimized Convolutional Visual Recurrent Network for Brain Tumor Segmentation and Classification
Dhananjay Joshi, Bhupesh Kumar Singh, Kapil Kumar Nagwanshi +1
In today's world of health care, brain tumor detection has become common. However, the manual brain tumor classification approach is time-consuming. So Deep Convolutional Neural Ne…
Study on Image Filtering -- Techniques, Algorithm and Applications
Bhishman Desai, Manish Paliwal, Kapil Kumar Nagwanshi
Image processing is one of the most immerging and widely growing techniques making it a lively research field. Image processing is converting an image to a digital format and then…
Cluster-Head Rotation Approaches in Sensor Networks: A Review
Rohit Pachlor, Deepti Shrimankar, Kapil Kumar Nagwanshi +1
Balanced energy consumption is a major research concern in sensor networks. If some sensor nodes spent energy rapidly compared to other sensor groups, then the energy consumption i…
Cyber-Forensic Review of Human Footprint and Gait for Personal Identification
Kapil Kumar Nagwanshi
The human footprint is having a unique set of ridges unmatched by any other human being, and therefore it can be used in different identity documents for example birth certificate,…
Adaptive Non-linear Filtering Technique for Image Restoration
S. K. Satpathy, S. Panda, K. K. Nagwanshi +2
Removing noise from the any processed images is very important. Noise should be removed in such a way that important information of image should be preserved. A decisionbased nonli…
Image Restoration in Non-Linear Filtering Domain using MDB approach
S. K. Satpathy, S. Panda, K. K. Nagwanshi +1
This paper proposes a new technique based on a non-linear Minmax Detector Based (MDB) filter for image restoration. The aim of image enhancement is to reconstruct the true image fr…