A review of aquaculture: From single modality analysis to multimodality fusion
Efficient management and accurate monitoring are crucial for the sustainable development
of the aquaculture industry. Traditionally, monitoring methods have relied on single-modality …
of the aquaculture industry. Traditionally, monitoring methods have relied on single-modality …
Deep learning based computer aided diagnosis of Alzheimer's disease: a snapshot of last 5 years, gaps, and future directions
A Bhandarkar, P Naik, K Vakkund… - Artificial Intelligence …, 2024 - Springer
Alzheimer's disease affects around one in every nine persons among the elderly population.
Being a neurodegenerative disease, its cure has not been established till date and is …
Being a neurodegenerative disease, its cure has not been established till date and is …
Gradient boosting machine and efficient combination of features for speech-based detection of COVID-19
In recent times, speech-based automatic disease detection systems have shown several
promising results in biomedical and life science applications, especially in the case of …
promising results in biomedical and life science applications, especially in the case of …
Artificial intelligence and discrete-event simulation for capacity management of intensive care units during the Covid-19 pandemic: a case study
The Covid-19 pandemic has pushed the Intensive Care Units (ICUs) into significant
operational disruptions. The rapid evolution of this disease, the bed capacity constraints, the …
operational disruptions. The rapid evolution of this disease, the bed capacity constraints, the …
[HTML][HTML] Towards effective and efficient online exam systems using deep learning-based cheating detection approach
S Kaddoura, A Gumaei - Intelligent Systems with Applications, 2022 - Elsevier
With the high growth of digitization and globalization, online exam systems continue to gain
popularity and stretch, especially in the case of spreading infections like a pandemic …
popularity and stretch, especially in the case of spreading infections like a pandemic …
Snake-efficient feature selection-based framework for precise early detection of chronic kidney disease
WN Ismail - Diagnostics, 2023 - mdpi.com
Chronic kidney disease (CKD) refers to impairment of the kidneys that may worsen over
time. Early detection of CKD is crucial for saving millions of lives. As a result, several studies …
time. Early detection of CKD is crucial for saving millions of lives. As a result, several studies …
Early prediction of sepsis using double fusion of deep features and handcrafted features
Y Duan, J Huo, M Chen, F Hou, G Yan, S Li, H Wang - Applied Intelligence, 2023 - Springer
Sepsis is a life-threatening medical condition that is characterized by the dysregulated
immune system response to infections, having both high morbidity and mortality rates. Early …
immune system response to infections, having both high morbidity and mortality rates. Early …
Random forest regression for prediction of Covid-19 daily cases and deaths in Turkey
F Özen - Heliyon, 2024 - cell.com
During pandemic periods, there is an intense flow of patients to hospitals. Depending on the
disease, many patients may require hospitalization. In some cases, these patients must be …
disease, many patients may require hospitalization. In some cases, these patients must be …
Multi-Modal CNN Features Fusion for Emotion Recognition: A Modified Xception Model
Facial expression recognition (FER) is advancing human-computer interaction, especially,
today, where facial masks are commonly worn due to the COVID-19 pandemic. Traditional …
today, where facial masks are commonly worn due to the COVID-19 pandemic. Traditional …
A gradient boosting-based mortality prediction model for COVID-19 patients
The COVID-19 pandemic has been a global public health concern since March 11, 2020.
Healthcare systems struggled to meet patients' growing needs for diagnosis, treatment, and …
Healthcare systems struggled to meet patients' growing needs for diagnosis, treatment, and …