Suspension polymerization technique: parameters affecting polymer properties and application in oxidation reactions

V Chaudhary, S Sharma - Journal of Polymer Research, 2019 - Springer
Various heterogeneous polymerization techniques such as suspension, emulsion,
dispersion, precipitation and seeded are employed for the synthesis of a wide variety of …

[HTML][HTML] Early prediction of hypothyroidism and multiclass classification using predictive machine learning and deep learning

K Guleria, S Sharma, S Kumar, S Tiwari - Measurement: Sensors, 2022 - Elsevier
Thyroid disease is considered one of the most common health disorders, which may lead to
various health problems. Recent studies reveal that approximately 42 million people in India …

A New Dawn for Tomato-spotted wilt virus Detection and Intensity Classification: A CNN and LSTM Ensemble Model

R Sharma, V Kukreja, S Vats - 2023 4th International …, 2023 - ieeexplore.ieee.org
Tomato-spotted wilt virus (TSWV) is a severe plant disease that causes significant economic
losses in tomato production worldwide. Early detection and intensity classification of TSWV …

Fighting Grape Black Rot with Deep Learning: A CNN-LSTM Hybrid Model for Disease Severity Classification

P Gaur, R Sharma, R Kumar, A Gupta… - 2023 4th …, 2023 - ieeexplore.ieee.org
Grape black rot is a devastating disease that affects grape crops globally. Detecting and
preventing the disease as early as possible is crucial for minimizing crop loss and …

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 …

Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data

W He, T Zhou, Y Xiang, Y Lin, J Hu, R Bao - arXiv preprint arXiv …, 2024 - arxiv.org
This study aims to explore the automatic classification method of pneumonia X-ray images
based on VGG19 deep convolutional neural network, and evaluate its application effect in …

Deep Learning Based Sugarcane Downy Mildew Disease Detection Using CNN-LSTM Ensemble Model for Severity Level Classification

N Dhawan, V Kukreja, R Sharma… - 2023 14th …, 2023 - ieeexplore.ieee.org
The fungus known as sugarcane downy mildew is extremely destructive and represents a
substantial risk to sugarcane output all over the world. To effectively manage the disease …

A smart approach to coconut leaf spot disease classification using computer vision and deep learning technique

SK Brar, R Sharma, S Vats… - 2023 World Conference …, 2023 - ieeexplore.ieee.org
Coconut leaf spot (CLS) disease is a major threat to coconut production and can cause
severe economic losses. In this study, we propose a deep learning (DL)-based ResNext50 …

Deep learning meets agriculture: A faster RCNN based approach to pepper leaf blight disease detection and multi-classification

R Sharma, V Kukreja, D Bordoloi - 2023 4th International …, 2023 - ieeexplore.ieee.org
Pepper Leaf Blight Disease (PLBD) is a widespread plant ailment that has a severe impact
on pepper cultivation across the globe. The rapid detection and precise classification of …

Revolutionizing Rice Farming: Automated Identification and Classification of Rice Leaf Blight Disease Using Deep Learning

V Kukreja, R Sharma, S Vats - 2023 Third International …, 2023 - ieeexplore.ieee.org
Rice is considered a fundamental dietary component for a significant portion of the global
population and is regarded as a crucial crop for ensuring food security on a global scale …