Fruit image classification model based on MobileNetV2 with deep transfer learning technique
Y Gulzar - Sustainability, 2023 - mdpi.com
Due to the rapid emergence and evolution of AI applications, the utilization of smart imaging
devices has increased significantly. Researchers have started using deep learning models …
devices has increased significantly. Researchers have started using deep learning models …
Harnessing the power of transfer learning in sunflower disease detection: A comparative study
Sunflower is an important crop that is susceptible to various diseases, which can
significantly impact crop yield and quality. Early and accurate detection of these diseases is …
significantly impact crop yield and quality. Early and accurate detection of these diseases is …
Skin lesion segmentation based on vision transformers and convolutional neural networks—a comparative study
Melanoma skin cancer is considered as one of the most common diseases in the world.
Detecting such diseases at early stage is important to saving lives. During medical …
Detecting such diseases at early stage is important to saving lives. During medical …
Weighted average ensemble deep learning model for stratification of brain tumor in MRI images
Brain tumor diagnosis at an early stage can improve the chances of successful treatment
and better patient outcomes. In the biomedical industry, non-invasive diagnostic procedures …
and better patient outcomes. In the biomedical industry, non-invasive diagnostic procedures …
Healthcare trust evolution with explainable artificial intelligence: bibliometric analysis
Recent developments in IoT, big data, fog and edge networks, and AI technologies have had
a profound impact on a number of industries, including medical. The use of AI for therapeutic …
a profound impact on a number of industries, including medical. The use of AI for therapeutic …
An improvised CNN model for fake image detection
The last decade has witnessed a multifold growth of image data courtesy of the emergence
of social networking services like Facebook, Instagram, LinkedIn etc. The major menace …
of social networking services like Facebook, Instagram, LinkedIn etc. The major menace …
SBXception: a shallower and broader xception architecture for efficient classification of skin lesions
Simple Summary Skin cancer is a major concern worldwide, and accurately identifying it is
crucial for effective treatment. we propose a modified deep learning model called …
crucial for effective treatment. we propose a modified deep learning model called …
Adversarial approaches to tackle imbalanced data in machine learning
Real-world applications often involve imbalanced datasets, which have different
distributions of examples across various classes. When building a system that requires a …
distributions of examples across various classes. When building a system that requires a …
Generating image captions using Bahdanau attention mechanism and transfer learning
Automatic image caption prediction is a challenging task in natural language processing.
Most of the researchers have used the convolutional neural network as an encoder and …
Most of the researchers have used the convolutional neural network as an encoder and …
Robustness, stability, and fidelity of explanations for a deep skin cancer classification model
M Saarela, L Geogieva - Applied Sciences, 2022 - mdpi.com
Skin cancer is one of the most prevalent of all cancers. Because of its being widespread and
externally observable, there is a potential that machine learning models integrated into …
externally observable, there is a potential that machine learning models integrated into …