A comprehensive review of mongo db: Features, advantages, and limitations

M Sharma, NK Trivedi - 2023 14th International Conference on …, 2023 - ieeexplore.ieee.org
Mongo DB classified as NoSQL database which uses JSON-like documents to store data
with optional schemas. Over the years Mongo DB has become more and more popular due …

Towards Precision Agriculture: A Unified CNN and Random Forest Framework for Jasmine Leaf Disease Recognition

RR Kumar, AK Jain, V Sharma, P Das… - … in Technology and …, 2024 - ieeexplore.ieee.org
The model's abstract performance characteristics of categorization across several classes
are highlighted, with special attention paid to accuracy, F1-Score, recall, encouragement …

[HTML][HTML] Heart disease detection using machine learning methods: a comprehensive narrative review

M Hajiarbabi - Journal of Medical Artificial Intelligence, 2024 - jmai.amegroups.org
Methods: Given the seriousness of these issues, researchers have developed various
methods for detecting heart diseases. This paper presents a systematic and detailed review …

Efficient Disease Detection in Wheat Crops: A Hybrid Deep Learning Solution

A Konidena, M Shanbhog, S Singh… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Wheat rust disease poses a significant danger to global food security and requires rapid,
precise diagnosis to be effectively managed. Using a hybrid deep learning (DL) model …

Synergistic Models for Marigold Leaf Disease Recognition: A Fusion of CNN and Random Forest Frameworks

RR Kumar, V Sharma, AK Jain… - 2024 4th International …, 2024 - ieeexplore.ieee.org
This includes a thorough evaluation of the efficacy of a classification model for some plant
diseases, which are categorized into multiple classes, including Septoria, which includes …

Hybrid Machine Learning Model for Predicting Damage Scale in Sunflower Leaves affected by Aster Yellow Disease

AK Jain, GSP Ghantasala, R Bhandari… - … on Recent Advances …, 2024 - ieeexplore.ieee.org
Through this work a thorough summary of a predictive model specifically designed to
evaluate Aster Yellows infections in sunflower leaves is presented. Exhibiting remarkable …

Employing Machine Learning for Effective Lung Cancer Diagnosis

RK Sachdeva, P Uppal, P Bathla… - 2024 2nd World …, 2024 - ieeexplore.ieee.org
People all over the world are affected by Lung Cancer. Its timely prediction is important in
prolonging patients' lives. This research paper proposes a model to improve the success …

Hybrid CNN-Random Forest Framework for Elevated Accuracy in Powdery Mildew Disease Classification

S Kumar, B Gupta - 2024 3rd International Conference for …, 2024 - ieeexplore.ieee.org
This research paper's abstract provides a thorough evaluation of the predictive capability of
a model developed to classify the mango dusty leaf disease. The study uses an evaluation …

Boosting Fiber Layup Defect Classification: A Comprehensive Analysis of Explainable AI Techniques for Neural Networks

RR Kumar - 2024 4th International Conference on Sustainable …, 2024 - ieeexplore.ieee.org
This research study presents a machine learning model capable of accurately identifying
and classifying various manufacturing defects. The model demonstrates exceptional …

A Novel CNN Approach for Accurate Breast Cancer Diagnosis

R Singh, N Sharma, A Shory - 2024 First International …, 2024 - ieeexplore.ieee.org
Breast cancer is a prevalent kind of cancer in women worldwide, and timely detection is
crucial for effective treatment. Conventional methods for diagnosing breast cancer, such …