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A comparative study of grape crop disease classification using various transfer learning techniques
Grapes are one of the fruits, which provides a significant source of Vitamin C. Like the other plant diseases, grapes plants are also affected some...
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ConceFT-based epileptic seizure detection via transfer learning
The classical Wavelet Transform (WT) is still useful and highly popular analysis method, especially for non-stationary signals like biomedical ones....
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Human-Guided Transfer Learning for Autonomous Robot
In recent years, neural networks have been successfully applied to many problems. However, prohibitively long learning time and vast training data...
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DynamicAug: Enhancing Transfer Learning Through Dynamic Data Augmentation Strategies Based on Model State
Transfer learning has made significant advancements, however, the issue of overfitting continues to pose a major challenge. Data augmentation has...
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Leveraging transfer learning for detecting misinformation on social media
Misinformation is a pervasive problem on social media platforms, with the potential to cause harm to individuals and society as a whole. Many...
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Transfer learning based evolutionary algorithm framework for multi-objective optimization problems
In this paper, a transfer learning based evolutionary algorithm (TLEA) framework for multi-objective optimization problems (MOPs) is proposed. In the...
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Control learning rate for autism facial detection via deep transfer learning
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder that affects social interaction and communication. Early detection of ASD can...
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IVE-MDNet: Intensity Value Estimation Model Combined with a Transfer Learning Approach for Melanoma Skin Cancer Diagnosis
The percentage of people affected by skin cancer has been rising in recent years. Melanoma is identified as the most dangerous and life-threatening...
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Hedge transfer learning routing for dynamic searching and reconnoitering applications in 3D multimedia FANETs
With the fast development of unmanned aerial vehicles (UAVs) and the user increasing demand of UAV video transmission, UAV video service is widely...
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Leveraging transfer learning in reinforcement learning to tackle competitive influence maximization
Competitive influence maximization (CIM) is a key problem that seeks highly influential users to maximize the party’s reward than the competitor....
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Improving Pest Detection via Transfer Learning
Pest monitoring models play a vital role in enabling informed decisions for pest control and effective management strategies. In the context of smart...
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A spatiotemporal bidirectional network for video salient object detection using multiscale transfer learning
Video saliency prediction aims to simulate human visual attention by selecting the most pertinent and important components within a video frame or...
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A transfer learning enabled approach for ocular disease detection and classification
Ocular diseases pose significant challenges in timely diagnosis and effective treatment. Deep learning has emerged as a promising technique in...
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Cross-Sign Language Transfer Learning Using Domain Adaptation with Multi-scale Temporal Alignment
Sign language serves as a vital means of communication for individuals with hearing impairments, yet recognition resources for the over 100 distinct...
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Federated transfer learning for attack detection for Internet of Medical Things
In the healthcare sector, cyberattack detection systems are crucial for ensuring the privacy of patient data and building trust in the increasingly...
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Classifying breast cancer using transfer learning models based on histopathological images
Deep learning algorithms are designed to learn from the data, where these require large amount of training dataset for accurate prediction. Recent...
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Research on sentiment analysis method of opinion mining based on multi-model fusion transfer learning
With the popularity of social media, opinion mining has gradually become a popular research field. Among these fields, sentiment analysis mining is...
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Cross-Lingual Transfer Learning in Drug-Related Information Extraction from User-Generated Texts
AbstractAggregating knowledge about drug, disease, and drug reaction entities across a broader range of domains and languages is critical for...
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Attention adaptive instance normalization style transfer for vascular segmentation using deep learning
AbstractDeep learning models have demonstrated substantial progress in medical image segmentation. However, these models require large datasets for...
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Monkeypox recognition and prediction from visuals using deep transfer learning-based neural networks
As the globe struggles to recover from COVID-19, the monkeypox virus has emerged as a new global pandemic threat. Monkeypox cases are still being...
