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[HTML][HTML] Comparing YOLOv8 and Mask R-CNN for instance segmentation in complex orchard environments
Instance segmentation, an important image processing operation for automation in
agriculture, is used to precisely delineate individual objects of interest within images, which …
agriculture, is used to precisely delineate individual objects of interest within images, which …
Segmentation and classification of skin lesions using hybrid deep learning method in the Internet of Medical Things
Abstract Introduction Particularly within the Internet of Medical Things (IoMT) context, skin
lesion analysis is critical for precise diagnosis. To improve the accuracy and efficiency of …
lesion analysis is critical for precise diagnosis. To improve the accuracy and efficiency of …
Recognition of sunflower diseases using hybrid deep learning and its explainability with AI
Sunflower is a crop that has many economic values and ornamental usages. However, its
production can be hampered due to various diseases such as downy mildew, gray mold …
production can be hampered due to various diseases such as downy mildew, gray mold …
Mouth and oral disease classification using InceptionResNetV2 method
Digital tools have greatly improved the detection and diagnosis of oral and dental disorders
like cancer and gum disease. Lip or oral cavity cancer is more likely to develop in those with …
like cancer and gum disease. Lip or oral cavity cancer is more likely to develop in those with …
[HTML][HTML] GLD-DET: Guava leaf disease detection in real-time using lightweight deep learning approach based on MobileNet
The guava plant is widely cultivated in various regions of the Sub-Continent and Asian
countries, including Bangladesh, due to its adaptability to different soil conditions and …
countries, including Bangladesh, due to its adaptability to different soil conditions and …
Lyme rashes disease classification using deep feature fusion technique
Automatic classification of Lyme disease rashes on the skin helps clinicians and
dermatologists' probe and investigate Lyme skin rashes effectively. This paper proposes a …
dermatologists' probe and investigate Lyme skin rashes effectively. This paper proposes a …
Classification of Alzheimer disease using DenseNet-201 based on deep transfer learning technique
Alzheimer's disease (AD) is a brain illness that causes gradual memory loss. AD has no
treatment and cannot be cured, so early detection is critical. Various AD diagnosis …
treatment and cannot be cured, so early detection is critical. Various AD diagnosis …
[PDF][PDF] Deep learning method to detect the road cracks and potholes for smart cities
The increasing global population at a rapid pace makes road traffic dense; managing such
massive traffic is challenging. In develo** countries like Pakistan, road traffic accidents …
massive traffic is challenging. In develo** countries like Pakistan, road traffic accidents …
[PDF][PDF] Recognizing Breast Cancer Using Edge-Weighted Texture Features of Histopathology Images.
Around one in eight women will be diagnosed with breast cancer at some time. Improved
patient outcomes necessitate both early detection and an accurate diagnosis. Histological …
patient outcomes necessitate both early detection and an accurate diagnosis. Histological …
Application of logistic regression, support vector machine and random forest on the effects of titanium dioxide nanoparticles using macroalgae in treatment of certain …
The use of titanium dioxide (TiO 2) nanoparticles in many biological and technical domains
is on the rise. There hasn't been much research on the toxicity of titanium dioxide …
is on the rise. There hasn't been much research on the toxicity of titanium dioxide …