Deep neural network based Rider-Cuckoo Search Algorithm for plant disease detection
Agriculture is the main source of wealth, and its contribution is essential to humans.
However, several obstacles faced by the farmers are due to different kinds of plant diseases …
However, several obstacles faced by the farmers are due to different kinds of plant diseases …
Optimal Ensemble learning model for COVID-19 detection using chest X-ray images
S Balasubramaniam, KS Kumar - Biomedical Signal Processing and …, 2023 - Elsevier
COVID-19 pandemic is the main outbreak in the world, which has shown a bad impact on
people's lives in more than 150 countries. The major steps in fighting COVID-19 are …
people's lives in more than 150 countries. The major steps in fighting COVID-19 are …
Botanical leaf disease detection and classification using convolutional neural network: a hybrid metaheuristic enabled approach
Botanical plants suffer from several types of diseases that must be identified early to improve
the production of fruits and vegetables. Mango fruit is one of the most popular and desirable …
the production of fruits and vegetables. Mango fruit is one of the most popular and desirable …
A novel Moore-Penrose pseudo-inverse weight-based Deep Convolution Neural Network for bacterial leaf blight disease detection system in rice plant
T Daniya, S Vigneshwari - Advances in Engineering software, 2022 - Elsevier
The vital food crop in the agriculture field is rice, but rice growing is impacted by numerous
maladies. The Bacterial Leaf Blight (BLB) disease influences rice standards. Prevailing …
maladies. The Bacterial Leaf Blight (BLB) disease influences rice standards. Prevailing …
Hybrid recommendation system based on collaborative and content-based filtering
G Parthasarathy, S Sathiya Devi - Cybernetics and Systems, 2023 - Taylor & Francis
Abstract A Recommendation System (RS) is a method which filters the information and
helped users' to choose the corresponding target from the huge amount of information …
helped users' to choose the corresponding target from the huge amount of information …
Optimized deep learning-based e-waste management in IoT application via energy-aware routing
P Ramya, V Ramya, M Babu Rao - Cybernetics and Systems, 2024 - Taylor & Francis
Recycling, reusing, and reducing electronic garbage (E-waste) may be the sole methods for
managing E-waste in use today. In essence, there is no ideal method of managing E-waste …
managing E-waste in use today. In essence, there is no ideal method of managing E-waste …
Skin cancer detection with optimized neural network via hybrid algorithm
R Ganeshan - Multimedia Research, 2020 - publisher.resbee.org
Skin lesion segmentation is a crucial but challenging task in computer-aided diagnosis of
skin images. This work aims to propose a skin cancer detection model, which includes two …
skin images. This work aims to propose a skin cancer detection model, which includes two …
Optimization of emission cost and economic analysis for microgrid by considering a metaheuristic algorithm‐assisted dispatch model
R Somakumar, P Kasinathan, G Monicka… - … Journal of Numerical …, 2022 - Wiley Online Library
Electric vehicles (EVs) have witnessed a steady and continuous rise in the last few years.
The increased prevalence of EVs results in high demand for electricity from the power grid …
The increased prevalence of EVs results in high demand for electricity from the power grid …
Optimized deep learning for genre classification via improved moth flame algorithm
B Kumaraswamy - Multimedia Tools and Applications, 2022 - Springer
Musical genres are categorical labels created by humans for characterizing pieces of music.
This categorization of musical genre is done by the common characteristics shared by its …
This categorization of musical genre is done by the common characteristics shared by its …
Image captioning using hybrid LSTM-RNN with deep features
KP Deorukhkar, S Ket - Sensing and Imaging, 2022 - Springer
Automated image captioning is the process of creating textual, human-like subtitles or
explanations for photos based on their content. Throughout the image captioning problem …
explanations for photos based on their content. Throughout the image captioning problem …