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Deep learning in medicine: advancing healthcare with intelligent solutions and the future of holography imaging in early diagnosis
Deep Learning (DL) is currently transforming health services by significantly improving early
cancer diagnosis, drug discovery, protein–protein interaction analysis, and gene editing …
cancer diagnosis, drug discovery, protein–protein interaction analysis, and gene editing …
[HTML][HTML] Meta-heuristic optimization of LSTM-based deep network for boosting the prediction of monkeypox cases
Recent technologies such as artificial intelligence, machine learning, and big data are
essential for supporting healthcare monitoring systems, particularly for monitoring …
essential for supporting healthcare monitoring systems, particularly for monitoring …
Deep learning-based prediction of diabetic retinopathy using CLAHE and ESRGAN for enhancement
Vision loss can be avoided if diabetic retinopathy (DR) is diagnosed and treated promptly.
The main five DR stages are none, moderate, mild, proliferate, and severe. In this study, a …
The main five DR stages are none, moderate, mild, proliferate, and severe. In this study, a …
Deep convolutional neural networks with genetic algorithm-based synthetic minority over-sampling technique for improved imbalanced data classification
Imbalanced data classification presents a challenge in machine learning, inducing biased
model learning. Moreover, data dimensionality poses another challenge as it highly impacts …
model learning. Moreover, data dimensionality poses another challenge as it highly impacts …
[HTML][HTML] A deep learning approach for atrial fibrillation classification using multi-feature time series data from ecg and ppg
Atrial fibrillation is a prevalent cardiac arrhythmia that poses significant health risks to
patients. The use of non-invasive methods for AF detection, such as Electrocardiogram and …
patients. The use of non-invasive methods for AF detection, such as Electrocardiogram and …
[HTML][HTML] Intelligent deep machine learning cyber phishing url detection based on bert features extraction
Recently, phishing attacks have been a crucial threat to cyberspace security. Phishing is a
form of fraud that attracts people and businesses to access malicious uniform resource …
form of fraud that attracts people and businesses to access malicious uniform resource …
Machine and deep learning techniques for the prediction of diabetics: a review
Diabetes has become one of the significant reasons for public sickness and death in
worldwide. By 2019, diabetes had affected more than 463 million people worldwide …
worldwide. By 2019, diabetes had affected more than 463 million people worldwide …
Exploring hyper-parameters and feature selection for predicting non-communicable chronic disease using stacking classifier
Non-communicable disease, especially chronic disease, is the most common factor of
complication of deteriorating physical health and the state of one's mind. It is also a …
complication of deteriorating physical health and the state of one's mind. It is also a …
Machine-learning-based global optimization of microwave passives with variable-fidelity EM models and response features
Maximizing microwave passive component performance demands precise parameter
tuning, particularly as modern circuits grow increasingly intricate. Yet, achieving this often …
tuning, particularly as modern circuits grow increasingly intricate. Yet, achieving this often …
Towards the future of bot detection: A comprehensive taxonomical review and challenges on Twitter/X
Abstract Harmful Twitter Bots (HTBs) are widespread and adaptable to a wide range of
social network platforms. The use of social network bots on numerous social network …
social network platforms. The use of social network bots on numerous social network …