Disease Identification in Potato Leaves Using a Multi-Tier Deep Learning Model
To prevent production loss, planning for and responding quickly to disease attacks on
vegetable plants, such as potatoes, is essential. The leaves and stems of vegetable plants …
vegetable plants, such as potatoes, is essential. The leaves and stems of vegetable plants …
[HTML][HTML] A Machine Learning and Deep Learning-Based Account Code Classification Model for Sustainable Accounting Practices
Accounting account codes are created within a specific logic framework to systematically
and accurately record a company's financial transactions. Currently, accounting reports are …
and accurately record a company's financial transactions. Currently, accounting reports are …
Classification of Non-Speech Sound Signals: An Approach of Machine Learning with MFCC Feature Extraction
The categorization of non-speech sound signals into seven different classes—breath,
cough, cry, laugh, sneeze, and yawn—is the subject of this study. The sound signals that …
cough, cry, laugh, sneeze, and yawn—is the subject of this study. The sound signals that …
Multiclass X-Ray Image Classification Using Transfer Learning Based Deep Neural Network
In recent past years, the world has been surprised and troubled by the novel coronavirus
and its impact on all the fields of life. The coronavirus is a very complex structure difficult to …
and its impact on all the fields of life. The coronavirus is a very complex structure difficult to …
Enhancing Long-Term Air Temperature Forecasting with Deep Learning Architectures
D Krivoguz, A Ioshpa, S Chernyi… - Journal of Robotics …, 2024 - journal.umy.ac.id
Modern challenges in climate prediction necessitate the adoption of advanced deep
learning architectures for enhanced precision in temperature forecasting. This study …
learning architectures for enhanced precision in temperature forecasting. This study …
Comparative Result Analysis of Optimization Techniques in Convolutional Neural Network for Prediction and Diagnosis of Monkey Pox
M Dwivedi, CLP Gupta… - 2023 IEEE 4th Annual …, 2023 - ieeexplore.ieee.org
Today the entire world has to face virus attacks from various sources. The carrier sources of
these viruses comprise animals, insects, and birds. As the world just came out from a …
these viruses comprise animals, insects, and birds. As the world just came out from a …
Endoscopic Bladder Tissue Classification Through Fusion of Handcrafted and Deep Features
The proper identification of tissue types during endoscopy may greatly affect both the
patient's care and the treatment options that are made, making the categorization of …
patient's care and the treatment options that are made, making the categorization of …
Real Fake Image Classification using Explainable EfficientNetV2S: A Comparative Analysis
This paper investigates the Explainable EfficientNetV2S model's ability to distinguish
between authentic and counterfeit photos in order to social protection. By carefully …
between authentic and counterfeit photos in order to social protection. By carefully …
Federated Learning for Mango Ripeness Classification: Evaluating Pre-Trained Deep Learning Frameworks
Classifying mangoes for maturity is crucial work in contemporary agriculture since it affects
harvesting and distribution methods. To solve the problem of classifying the maturity of …
harvesting and distribution methods. To solve the problem of classifying the maturity of …
[PDF][PDF] Tea Leaf Disease Classification Using Artificial Intelligence (AI) Models
KPS Kumaratenna, YY Cho - 생물환경조절학회지, 2024 - koreascience.kr
In this study, five artificial intelligence (AI) models: Inception v3, SqueezeNet (local), VGG-
16, Painters, and DeepLoc were used to classify tea leaf diseases. Eight image categories …
16, Painters, and DeepLoc were used to classify tea leaf diseases. Eight image categories …