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Heart disease classification through crow intelligence optimization-based deep learning approach
Deep learning (DL) approaches provide predictive analysis capabilities for heart-related diseases (HRD), enabling early pattern detection and...
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Performance analysis of supervised classification models on heart disease prediction
This paper presents a predictive analysis of data on heart disease patients to determine the possible risk factors associated with their heart...
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Capsule network-based disease classification for Vitis Vinifera leaves
The primary source of food is extracted from the plant. Take care of and maintain the plants in real-time to enhance human survival. Diseases in...
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MLDC: multi-lung disease classification using quantum classifier and artificial neural networks
Lung diseases are one of the most common diseases around the world. The risk of these diseases are more in under-developed and develo** countries,...
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A systematic literature survey on skin disease detection and classification using machine learning and deep learning
The world population is growing very fast and the lifestyle of human beings is changing with time and place. So, there is a need for disease...
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Classification of skin disease using a novel hybrid flash butterfly optimization from dermoscopic images
The failure of skin disease detection at an early stage leads to causes of well-known cancer known as melanoma, and it is created due to an...
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A plant disease classification using one-shot learning technique with field images
Early diagnosis of plant diseases is crucial for preventing plagues and mitigating their effects on crops. The most precise automatic methods for...
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Mango leaf disease classification using hybrid Coyote-Grey Wolf optimization tuned neural network model
The identification of diseases in plants contributes an important role in captivating disease control methods for the improvement of quality and...
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A multilayered framework for diagnosis and classification of Alzheimer's disease using transfer learned Alexnet and LSTM
Alzheimer's disease (AD) is the most frequent type of dementia that has no effective cure, except early discovery and treatment that may help...
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Hybrid model with improved score level fusion for heart disease classification
The heart, an essential organ of the body, pumps blood filled with oxygen to every area of the body through a complex network of veins and arteries....
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GF-CNN: An Enhanced Deep Learning Model with Gabor Filters for Maize Disease Classification
Plant pathogens in maize create a severe impact that directly affects agricultural productivity. The foliar disease affects maize growth, where...
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Plant leaf disease detection and classification using modified transfer learning models
Agriculture is a dominating field that plays an essential role in the economic development of any country. In India, agriculture contributes about...
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Automated retinal disease classification using hybrid transformer model (SViT) using optical coherence tomography images
Optical coherence tomography (OCT) is a widely used imaging technique in ophthalmology for diagnosis and treatment. Recent advances in deep neural...
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Prediction analysis for Parkinson disease using multiple feature selection & classification methods
Diagnosis of Parkinson's disease (PD) is a difficult undertaking that requires a variety of testing and clinical trials. Despite all these testing...
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ResNext50 based convolution neural network-long short term memory model for plant disease classification
Agricultural problems need to be dealt with advanced computing methods to increase food productivity. Automatic classification of plant disease using...
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Leaf Disease Classification of Various Crops Using Deep Learning Based DBESeriesNet Model
Chilli is one of the world’s most extensively used spices. Numerous diseases affect chilli leaves as a result of climatic and environmental changes,...
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Optimization Based Rice Leaf Disease Classification in Federated Learning
Numerous farmers worldwide are impacted by diseases connected to rice leaves that frequently endanger the sustainability of the rice industry....
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Multi-level classification of Alzheimer disease using DCNN and ensemble deep learning techniques
The utmost popular dementia cause is because the (AD) Alzheimer’s disease. A continuous drop in mental ability is referred to as Dementia. Using the...
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Enhanced U-Net segmentation with ensemble convolutional neural network for automated skin disease classification
In recent years, skin-related problems induce psychological problems and also injure physical health, particularly if the patient’s face was...
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ConvDepthTransEnsembleNet: An Improved Deep Learning Approach for Rice Crop Leaf Disease Classification
Agricultural sector, in association with its allied sectors, plays pivotal role in the progress of a country. In spite of notable contribution,...
