Explainable artificial intelligence in Alzheimer's disease classification: A systematic review
The unprecedented growth of computational capabilities in recent years has allowed
Artificial Intelligence (AI) models to be developed for medical applications with remarkable …
Artificial Intelligence (AI) models to be developed for medical applications with remarkable …
Artificial intelligence and internet of things in screening and management of autism spectrum disorder
Autism is a disability that obstructs the process of a person's development. Autistic
individuals find it extremely difficult to cope with the world's pace, can not communicate …
individuals find it extremely difficult to cope with the world's pace, can not communicate …
A CNN-BiLSTM model with attention mechanism for earthquake prediction
Earthquakes, as natural phenomena, have consistently caused damage and loss of human
life throughout history. Earthquake prediction is an essential aspect of any society's plans …
life throughout history. Earthquake prediction is an essential aspect of any society's plans …
An attention-based LSTM network for large earthquake prediction
Due to the complexity of earthquakes, predicting their magnitude, timing and location is a
challenging task because earthquakes do not show a specific pattern, which can lead to …
challenging task because earthquakes do not show a specific pattern, which can lead to …
Application of explainable artificial intelligence in alzheimer's disease classification: A systematic review
Abstract Context: Artificial Intelligence (AI) in the medical domain has achieved remarkable
results on various metrics primarily due to recent advancements in computational …
results on various metrics primarily due to recent advancements in computational …
A hybrid deep learning model to predict the impact of COVID-19 on mental health from social media big data
The novel coronavirus disease (COVID-19) pandemic is provoking a prevalent
consequence on mental health because of less interaction among people, economic …
consequence on mental health because of less interaction among people, economic …
Predicting the magnitude of an impending earthquake using deep learning techniques
B Sadhukhan, S Chakraborty, S Mukherjee - Earth Science Informatics, 2023 - Springer
Earthquakes are one of nature's most devastating disasters. Earthquake prediction is critical
in seismology since its success can save lives, property, and infrastructure. Numerous …
in seismology since its success can save lives, property, and infrastructure. Numerous …
Earthquake detection using stacked normalized recurrent neural network (SNRNN)
Featured Application Earthquake Detection, Earthquake Early Warning System (EEWS),
Processing of Seismic data. Abstract Earthquakes threaten people, homes, and …
Processing of Seismic data. Abstract Earthquakes threaten people, homes, and …
Analysis of preprocessing techniques, Keras tuner, and transfer learning on cloud street image data
S Joshi, JA Owens, S Shah… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
A Convolutional Neural Network is a powerful tool that has been extensively used for image
classification. One specific area of application is remotely sensed images of meteorological …
classification. One specific area of application is remotely sensed images of meteorological …
Earthquake magnitude prediction in Turkey: a comparative study of deep learning methods, ARIMA and singular spectrum analysis
H Öncel Çekim, HN Karakavak, G Özel… - Environmental Earth …, 2023 - Springer
The Aegean region is geologically situated at the western end of the Gediz Graben system,
influenced by the Western Anatolian Regime. In addition, the region is characterized by …
influenced by the Western Anatolian Regime. In addition, the region is characterized by …