Developed a deep learning model integrating LSTM and CNN for multi-class classification, enabling accurate human posture prediction for smart seat cushion users
The model is designed to help prevent painful pressure ulcers in wheelchair users by identifying and addressing prolonged sitting postures.
Developed a predictive model that detects fake satellite images using specialized hand crafted features and ResNet50 features.
The research was presented at International Conference on Recent Trends in Intelligent Systems and Networking ICRTISN-2022
Developed a predictive model that detects lung cancer using VGG-16 model.utilized Convolutional Neural Networks (CNN) with Image Segmentation to enhance the detection accuracy of lung cancer in CT scan images
The research was presented at the International Conference on Electronic Systems and Intelligent Computing (ICESIC)-2022, and was published in IEEE Xplore.
Developed a deep learning model to detect tumors using Brain MRI images using (Residual Network) ResNet-50 features
The Paper was presented at International Conference on Microelectronics, Computing, Communication Systems (MCCS-2021)
Developed a model to evaluate the impact of recession in the United States using Logistic Regression, Random forest, XG Boost Algorithms.