A systematic literature review on deep learning approaches for pneumonia detection using chest X-ray images
Abstract As per World Health Organization, in 2019, 2.5 million deaths were reported due to
pneumonia, of which 14% were observed among children between 0–5 years of age. Due to …
pneumonia, of which 14% were observed among children between 0–5 years of age. Due to …
A comprehensive review on federated learning based models for healthcare applications
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 …
body. Pathology determines the causes behind the disease and identifies its development …
Detecting Severity Levels of Cucumber Leaf Spot Disease using ResNext Deep Learning Model: A Digital Image Analysis Approach
A Bansal, R Sharma, V Sharma… - 2023 4th International …, 2023 - ieeexplore.ieee.org
The fungal disease known as cucumber leaf spot (CLS) is capable of causing substantial
damage to cucumber crops, leading to a decrease in production and quality. Early detection …
damage to cucumber crops, leading to a decrease in production and quality. Early detection …
[HTML][HTML] Remote sensing image scene classification by transfer learning to augment the accuracy
S Thirumaladevi, KV Swamy, M Sailaja - Measurement: Sensors, 2023 - Elsevier
Efficiently executing image categorization with high spatial quality imagery from remote
sensing can bring great benefits to scene classification. Effective feature representation is …
sensing can bring great benefits to scene classification. Effective feature representation is …
Performance analysis of machine learning approaches for stroke prediction in healthcare
A stroke is a situation that happens due to insufficient blood supply to the brain. Nowadays,
there is an increased number of deaths which can be caused due to many reasons including …
there is an increased number of deaths which can be caused due to many reasons including …
Enhancing Fashion Cloth Image Classification through Hybrid CNN-SVM Modeling: A Multi-Class Study
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 …
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
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 …
pose a danger to the global mango industry. To classify mango leaf spot disease …
Tomato leaf disease classification using convolutional neural network model
Tomatoes and potatoes are the most commonly grown crops worldwide. The tomato
contains antioxidant properties to prevent the cells from radicals. It can also protect the …
contains antioxidant properties to prevent the cells from radicals. It can also protect the …
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 …
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
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 …
preventing the disease as early as possible is crucial for minimizing crop loss and …