A comprehensive review on federated learning based models for healthcare applications

S Sharma, K Guleria - Artificial Intelligence in Medicine, 2023 - Elsevier
A disease is an abnormal condition that negatively impacts the functioning of the human
body. Pathology determines the causes behind the disease and identifies its development …

Amalgamated convolutional long term network (CLTN) model for Lemon Citrus Canker Disease Multi-classification

R Sharma, V Kukreja - 2022 International conference on …, 2022 - ieeexplore.ieee.org
Lemon disease detection has been a hot topic of research for decades, thanks to the rising
demand and supply for the commodity, which has increased the number of diseases found …

Rice Leaf blight Disease detection using multi-classification deep learning model

R Sharma, V Kukreja, RK Kaushal… - … on reliability, Infocom …, 2022 - ieeexplore.ieee.org
One of the main crops in agricultural fields is considered to be rice, which is produced and
used extensively over the world. Due to this very reason, there is always a high risk of rice …

Segmentation and multi-layer perceptron: an intelligent multi-classification model for sugarcane disease detection

R Sharma, V Kukreja - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Sugarcane disease detection has been an active area of research for past decades, due to
the increasing demand and supply of the crop, the higher production level led to a hike in …

An Automated Approach for Accurate Detection and Classification of Kiwi Powdery Mildew Disease

A Bansal, R Sharma, V Sharma… - 2023 IEEE 8th …, 2023 - ieeexplore.ieee.org
Powdery mildew is a fungal disease that affects kiwi fruit plants and leads to a reduction in
yield and quality. Early detection and classification of the disease can help farmers to take …

Enhancing Fashion Cloth Image Classification through Hybrid CNN-SVM Modeling: A Multi-Class Study

A Bansal, R Sharma, AK Jain… - … Computing and Smart …, 2023 - ieeexplore.ieee.org
The classification of fashion cloth images is an important and challenging task in the field of
computer vision. In recent years, deep learning (DL) techniques, especially Convolutional …

MangoSpot: A Hybrid CNN-SVM Model for Multi-Classification of Mango Leaf Spot Disease Based on Seriousness Levels

D Baresary, A Saini, RK Sharma… - 2023 3rd …, 2023 - ieeexplore.ieee.org
The devastating crop losses and economic damage caused by mango leaf spot disease
pose a danger to the global mango industry. To classify mango leaf spot disease …

Sugar Learning: Deep Learning for Rapid Detection and Classification of Sugarcane Diseases

SK Brar, R Sharma, S Vats… - 2023 World Conference …, 2023 - ieeexplore.ieee.org
Sugarcane is a widely cultivated crop due to its high demand and supply in various
industries. However, the increase in production levels has led to an increase in the number …

Early Detection and Prevention of Mustard Downy Mildew Disease using a Hybrid CNN-LSTM Model

V Kukreja, R Sharma, S Vats - 2023 Third International …, 2023 - ieeexplore.ieee.org
Mustard downy mildew is a widespread disease that poses a significant risk to the
production of high-quality mustard products, which in turn affects the agricultural industry …

A Hybrid Deep Learning Approach for Multi-Classification of Heritage Monuments Using a Real-Phase Image Dataset

V Kukreja, R Sharma, S Vats - 2023 5th International …, 2023 - ieeexplore.ieee.org
The cultural heritage of a nation is defined by its historical monuments which depict its art,
legacies, historical significances, tradition, culture, and teachings. The importance and value …