Green space quality analysis using machine learning approaches
Green space is any green infrastructure consisting of vegetation. Green space is linked with
improving mental and physical health, providing opportunities for social interactions and …
improving mental and physical health, providing opportunities for social interactions and …
Utilizing the ensemble of deep learning approaches to identify monkeypox disease
Recently, the monkeypox disease spreads to many countries rapidly and it becomes a
serious health problem. In addition, this disease affects the quality of a person's life …
serious health problem. In addition, this disease affects the quality of a person's life …
A Systematic Literature Review of Convolutional Neural Network Architecture for Lung Disease Detection
YY Sugandi, I Soesanti… - 2023 6th International …, 2023 - ieeexplore.ieee.org
Lung disease is a severe threat to the respiratory system and can be fatal if not treated
immediately. Common examples include Pneumonia, Covid-19, Lung Cancer, and …
immediately. Common examples include Pneumonia, Covid-19, Lung Cancer, and …
Comparing Male Nyala and Male Kudu Classification using Transfer Learning with ResNet-50 and VGG-16
TT Lemani, TL van Zyl - arXiv preprint arXiv:2311.05981, 2023 - arxiv.org
Reliable and efficient monitoring of wild animals is crucial to inform management and
conservation decisions. The process of manually identifying species of animals is time …
conservation decisions. The process of manually identifying species of animals is time …
Alzheimer's Disease Detectoin Using Multiple Convolutional Neural Networks
R Smitha, GS Parvathy, AJ Nair… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Alzheimer's disease is the most well-known type of dementia, which is characterized by
memory loss and other cognitive symptoms that complicate a person's daily life. Recent …
memory loss and other cognitive symptoms that complicate a person's daily life. Recent …
Covid-19 Classification using Fine-tuned EfficientNet Architecture
S Sruthi, S Emadaboina… - 2024 IEEE 9th …, 2024 - ieeexplore.ieee.org
This work utilizes an Efficient Net-based deep learning architecture, leveraging its efficiency
and scalability for image classification tasks. We employ a Dataset of chest X-ray images …
and scalability for image classification tasks. We employ a Dataset of chest X-ray images …
Potato Leaf Disease Detection: Comparative Study of the Performance of CNN Architectures-VGG19, ResNet50 and DenseNet201
JLR Rodríguez, JMR Rodríguez… - 2023 9th …, 2023 - ieeexplore.ieee.org
In this study, the performance of the CNN architectures VGG19, ResNet50, and
DenseNet201 is compared in the detection of diseases in potato leaves. Within the scope of …
DenseNet201 is compared in the detection of diseases in potato leaves. Within the scope of …
EKG sinyallerinden elde edilen görüntülerin hibrit derin öğrenme yöntemleri kullanılarak sınıflandırılması
O Akçan - 2023 - acikerisim.subu.edu.tr
Kardiyovasküler hastalıkların en aza indirilmesi için erken teşhis ve tedavi oldukça
önemlidir. Kardiyovasküler hastalıkların teşhisinde elektrokardiyogram (EKG) sıklıkla …
önemlidir. Kardiyovasküler hastalıkların teşhisinde elektrokardiyogram (EKG) sıklıkla …