[HTML][HTML] Deep learning in mining biological data
Recent technological advancements in data acquisition tools allowed life scientists to
acquire multimodal data from different biological application domains. Categorized in three …
acquire multimodal data from different biological application domains. Categorized in three …
Security threats and artificial intelligence based countermeasures for internet of things networks: a comprehensive survey
The Internet of Things (IoT) has emerged as a technology capable of connecting
heterogeneous nodes/objects, such as people, devices, infrastructure, and makes our daily …
heterogeneous nodes/objects, such as people, devices, infrastructure, and makes our daily …
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 …
Applications of deep neural networks in exploration seismology: A technical survey
Exploration seismology uses reflected and refracted seismic waves, emitted from a
controlled (active) source into the ground, and recorded by an array of seismic sensors …
controlled (active) source into the ground, and recorded by an array of seismic sensors …
[HTML][HTML] Short-term prediction of particulate matter (PM10 and PM2. 5) in Seoul, South Korea using tree-based machine learning algorithms
BY Kim, YK Lim, JW Cha - Atmospheric Pollution Research, 2022 - Elsevier
In this study, highly accurate particulate matter (PM 10 and PM 2.5) predictions were
obtained using meteorological prediction data from the local data assimilation and …
obtained using meteorological prediction data from the local data assimilation and …
[HTML][HTML] COVID-19 infection detection from chest X-ray images using hybrid social group optimization and support vector classifier
A novel strain of Coronavirus, identified as the Severe Acute Respiratory Syndrome-2
(SARS-CoV-2), outbroke in December 2019 causing the novel Corona Virus Disease …
(SARS-CoV-2), outbroke in December 2019 causing the novel Corona Virus Disease …
[HTML][HTML] 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 …
Attention-based bi-directional long-short term memory network for earthquake prediction
An earthquake is a tremor felt on the surface of the earth created by the movement of the
major pieces of its outer shell. Till now, many attempts have been made to forecast …
major pieces of its outer shell. Till now, many attempts have been made to forecast …
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 …