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Evaluation of denoising techniques to remove speckle and Gaussian noise from dermoscopy images
E Goceri - Computers in Biology and Medicine, 2023 - Elsevier
Computerized methods provide analyses of skin lesions from dermoscopy images
automatically. However, the images acquired from dermoscopy devices are noisy and cause …
automatically. However, the images acquired from dermoscopy devices are noisy and cause …
Evolutionary model for brain cancer-grading and classification
Brain cancer is a dangerous disease and affects millions of people life in worldwide.
Approximately 70% of patients diagnosed with this disease do not survive. Machine learning …
Approximately 70% of patients diagnosed with this disease do not survive. Machine learning …
[HTML][HTML] RailSegVITNet: A lightweight VIT-based real-time track surface segmentation network for improving railroad safety
To address the challenge of precise foreign object detection on railway tracks, this study
proposes RailSegVITNet, an efficient deep learning-based model that aims to accurately …
proposes RailSegVITNet, an efficient deep learning-based model that aims to accurately …
goldenager: A personalized feature fusion activity recognition model for elderly
Physical and mental health are impacted as a person grows old. A Human Activity
Recognition (HAR) system, which tracks a person's activity patterns and intervenes in case …
Recognition (HAR) system, which tracks a person's activity patterns and intervenes in case …
Zero-Shot Sketch-Based Image Retrieval Using StyleGen and Stacked Siamese Neural Networks
VRMK Gopu, M Dunna - Journal of Imaging, 2024 - mdpi.com
Sketch-based image retrieval (SBIR) refers to a sub-class of content-based image retrieval
problems where the input queries are ambiguous sketches and the retrieval repository is a …
problems where the input queries are ambiguous sketches and the retrieval repository is a …
Hybrid Multi-Strategy Aquila Optimization with Deep Learning Driven Crop Type Classification on Hyperspectral Images.
Hyperspectral imaging instruments could capture detailed spatial information and rich
spectral signs of observed scenes. Much spatial information and spectral signatures of …
spectral signs of observed scenes. Much spatial information and spectral signatures of …
Deep convolutional neural network-based enhanced crowd density monitoring for intelligent urban planning on smart cities
The concept of a smart city has spread as a solution ensuring wider availability of data and
services to citizens, apart from as a means to lower the environmental footprint of cities …
services to citizens, apart from as a means to lower the environmental footprint of cities …
Detection and classification of skin cancer using unmanned transfer learning based probabilistic multi-layer dense networks
Skin cancer is one of the most dangerous cancers that may occur for different age groups of
people. As a result, early identification of skin cancer has the potential to save millions of …
people. As a result, early identification of skin cancer has the potential to save millions of …
Evaluation of High-Dimensional Data Classification for Skin Malignancy Detection Using DL-Based Techniques
Skin cancer can be detected through visual screening and skin analysis based on the
biopsy and pathological state of the human body. The survival rate of cancer patients is low …
biopsy and pathological state of the human body. The survival rate of cancer patients is low …
[PDF][PDF] Artificial Rabbit Optimizer with deep learning for fall detection of disabled people in the IoT Environment
Artificial Rabbit Optimizer with deep learning for fall detection of disabled people in the IoT
Environment Page 1 AIMS Mathematics, 9(6): 15486–15504. DOI: 10.3934/math.2024749 …
Environment Page 1 AIMS Mathematics, 9(6): 15486–15504. DOI: 10.3934/math.2024749 …