COVID-19 infection detection from chest X-ray images using hybrid social group optimization and support vector classifier
A novel strain of Coronavirus, identified as the Severe Acute Respiratory Syndrome-2
(SARS-CoV-2), outbroke in December 2019 causing the novel Corona Virus Disease …
(SARS-CoV-2), outbroke in December 2019 causing the novel Corona Virus Disease …
Design of IoT blockchain based smart agriculture for enlightening safety and security
Abstract The Internet of Things is evolving as a complete matured technology to be used in
all the Smart applications and it establishes itself in the future generations of internet. As like …
all the Smart applications and it establishes itself in the future generations of internet. As like …
A review of spider monkey optimization: modification and its biomedical application
In recent times, researchers have increasingly turned their attention to nature-inspired
algorithms that draw insights from the cognitive behaviors of animals, insects, and birds …
algorithms that draw insights from the cognitive behaviors of animals, insects, and birds …
Bearing fault detection using comparative analysis of random forest, ANN, and autoencoder methods
P Kamat, P Marni, L Cardoz, A Irani, A Gajula… - … and Intelligent Systems …, 2021 - Springer
The manufacturing industry is currently witnessing a huge revolution in terms of the Industry
4.0 paradigm, which aims to automate most of the manufacturing processes from condition …
4.0 paradigm, which aims to automate most of the manufacturing processes from condition …
An optimal feature selection approach using ibbo for histopathological image classification
The automated methods for the categorization of the histopathological images is very useful
in disease diagnosis and prognosis. However, due to complex image background and …
in disease diagnosis and prognosis. However, due to complex image background and …
Multiobjective environmental adaptation method for solving environmental/economic dispatch problem
Environmental adaptation method is one of the evolutionary algorithms for solving single
objective optimization problems. Although the algorithm converges very fast and produces …
objective optimization problems. Although the algorithm converges very fast and produces …
Accuracy evaluation of plant leaf disease detection and classification using GLCM and multiclass SVM classifier
Plants are extremely disposed to diseases that mark the growth of the plant which in chance
marks the natural balance of the agriculturalist. The yield of crop drops due to contagions …
marks the natural balance of the agriculturalist. The yield of crop drops due to contagions …
Application of Machine Learning for Heart Disease Prediction
M Qureshi, N Warke - Proceedings of 2nd International Conference on …, 2022 - Springer
Cardiovascular Diseases (CVD) have become one of the leading causes for the increase in
mortality rate globally. A vast majority of this suffers from heart diseases which can be …
mortality rate globally. A vast majority of this suffers from heart diseases which can be …
An improved inception layer-based convolutional neural network for identifying rice leaf diseases
Technological intervention in agriculture is essential for its thriving. Particularly, in the crops
like paddy, delayed identification of disease causes major economic losses. Early …
like paddy, delayed identification of disease causes major economic losses. Early …
An improved ant colony optimization with correlation and Gini importance for feature selection
T Joshi, A Lahorkar, G Tikhe, H Bhosale… - … and Intelligent Systems …, 2021 - Springer
Accurate classification of examples depends upon identification of informative attributes and
removal of redundant attributes. Attribute selection helps reduce the noise and increase …
removal of redundant attributes. Attribute selection helps reduce the noise and increase …