Deep transfer learning approaches for Monkeypox disease diagnosis
Monkeypox has become a significant global challenge as the number of cases increases
daily. Those infected with the disease often display various skin symptoms and can spread …
daily. Those infected with the disease often display various skin symptoms and can spread …
[HTML][HTML] Development and integration of VGG and dense transfer-learning systems supported with diverse lung images for discovery of the Coronavirus identity
WA Hamwi, MM Almustafa - Informatics in Medicine Unlocked, 2022 - Elsevier
The contagious SARS-CoV-2 has had a tremendous impact on the life and health of many
communities. It was first rampant in early 2019 and so far, 539 million cases of COVID-19 …
communities. It was first rampant in early 2019 and so far, 539 million cases of COVID-19 …
Multiscale analysis domain interpretable deep neural network for detection of breast cancer using thermogram images
Breast cancer is the most prevalent cancer among women, with a high mortality rate. The
early detection of breast cancer using medical imaging techniques helps reduce the number …
early detection of breast cancer using medical imaging techniques helps reduce the number …
[HTML][HTML] Enhancing monkeypox diagnosis and explanation through modified transfer learning, vision transformers, and federated learning
The Monkeypox outbreak has emerged as a pressing global health challenge, evidenced by
rising cases across nations. Individuals afflicted exhibit diverse dermatological symptoms …
rising cases across nations. Individuals afflicted exhibit diverse dermatological symptoms …
[HTML][HTML] Cascading CNNs for facial action unit detection
The contractions of facial muscles are what shape the expressions produced by the human
face. The Facial Action Coding System (FACS) stands as the predominant standard in …
face. The Facial Action Coding System (FACS) stands as the predominant standard in …
Enhancing Structural Crack Detection through a Multiscale Multilevel Mask Deep Convolutional Neural Network and Line Similarity Index
This paper proposes a novel and practical crack‐detection method for infrastructure. The
proposed method exhibits three key components. First, a multiscale multilevel mask deep …
proposed method exhibits three key components. First, a multiscale multilevel mask deep …
Topological Dynamics of Functional Neural Network Graphs During Reinforcement Learning
This study investigates the topological structures of neural network activation graphs, with a
focus on detecting higher-order Betti numbers during reinforcement learning. The paper …
focus on detecting higher-order Betti numbers during reinforcement learning. The paper …
Streamflow Simulation Using a Hybrid Approach Combining HEC-HMS and LSTM Model in the Tlawng River Basin of Mizoram, India
Accurate streamflow simulation is crucial for effective water resource management and flood
control, particularly in vulnerable regions like the Northeastern Himalayas region of India …
control, particularly in vulnerable regions like the Northeastern Himalayas region of India …
Boosting facial action unit detection with CGAN-based data augmentation
Contraction of the facial muscle movements is the key aspect of facial expression
recognition tasks. The Facial Action Coding System (FACS) is the most widely used and …
recognition tasks. The Facial Action Coding System (FACS) is the most widely used and …
Arrhythmia Classification Using EFFICIENTNET-V2 with 2-D Scalogram Image Representation
Cardiovascular disease is part of global death's main cause. It is the term for all types of
diseases that affect the heart or blood vessels. Heart disease is a type of cardiovascular …
diseases that affect the heart or blood vessels. Heart disease is a type of cardiovascular …