Pre-trained CNN Models and Machine Learning Techniques for Brain Tumor Analysis

M Bohra, S Gupta - … on Emerging Frontiers in Electrical and …, 2022 - ieeexplore.ieee.org
A brain tumor is a life-threatening condition that causes the brain's normal functions to be
disrupted. For a definitive reading and an ef active treatment approach, brain tumors must be …

Classification of Yoga Pose using Pre-trained CNN Models and Machine Learning Classifiers

S Goel, S Mohanty, S Markanday - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
In the development of recent technologies over the years have resulted in a widespread
growth in the world of Machine learning or Deep learning techniques due to their high …

Analysis of Multi-Class Weather Classification using deep learning models and machine learning classifiers

S Goel, S Markanday, S Mohanty - 2022 OITS International …, 2022 - ieeexplore.ieee.org
Extreme weather detection in huge datasets is a difficult task for researchers studying
climate change. Current algorithms for detecting severe weather are reliant on human …

Classification of Agriculture Crops Using Transfer Learning

S Goel, S Markanday, S Mohanty - 2022 OITS International …, 2022 - ieeexplore.ieee.org
Deep learning is a relatively new, cutting-edge method of image processing and data
analysis with a lot of potential. Deep learning has lately entered the field of agriculture as a …

Assessing Crowd Counting Methods: A Comparison Study of MaskR-CNN

S Goel, S Gupta, A Panwar - Machine Vision and Augmented …, 2024 - books.google.com
The primary goal of crowd counting is to ascertain the total number of individuals in a
congested area, and the expanding field of computer vision facilitates the analysis of crowd …

Covid-19 Identification through Chest X-ray Images using Deep Learning Classifiers

S Goel - 2022 OITS International Conference on Information …, 2022 - ieeexplore.ieee.org
In the context of the nidovirales order, the coronavirus (Covid-19) is a virus family ie
extracted from Ribonucleic Acid (RNA) viruses. The pandemic ensued due to it has already …

Assessing Crowd Counting Methods: A Comparison Study of MaskR-CNN with ResNet 50 and Convolution Neural Network

S Goel, S Gupta, A Panwar - International Conference on Machine Vision …, 2023 - Springer
Crowd counting is the task of estimating the number of individuals in a crowd that has
gained significant attention in computer vision research due to its diverse applications in …

Automated Detection of COVID-19 Infection in Lungs from CXR and CT Scan Images using Two-Stage Convolution Neural Network

S Ajay, R Jha, AA Gawande… - … in Intelligent Control …, 2022 - ieeexplore.ieee.org
Automated Detection of COVID-19 Infection in Lungs from CXR and CT Scan Images using
Two-Stage Convolution Neural Network Page 1 2022 Second International Conference on …