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Skin cancer diagnosis based on deep transfer learning and sparrow search algorithm
Skin cancer affects the lives of millions of people every year, as it is considered the most
popular form of cancer. In the USA alone, approximately three and a half million people are …
popular form of cancer. In the USA alone, approximately three and a half million people are …
A vision-based deep learning approach for independent-users Arabic sign language interpretation
More than 5% of the people around the world are deaf and have severe difficulties in
communicating with normal people according to the World Health Organization (WHO). They …
communicating with normal people according to the World Health Organization (WHO). They …
Hybrid deep learning and genetic algorithms approach (HMB-DLGAHA) for the early ultrasound diagnoses of breast cancer
Breast cancer is one of the most commonly diagnosed cancers in the world that has
overtaken lung cancer and is considered a leading cause of molarity. The current study …
overtaken lung cancer and is considered a leading cause of molarity. The current study …
A generic optimization and learning framework for Parkinson disease via speech and handwritten records
Parkinson's disease (PD) is a neurodegenerative disorder with slow progression whose
symptoms can be identified at late stages. Early diagnosis and treatment of PD can help to …
symptoms can be identified at late stages. Early diagnosis and treatment of PD can help to …
CNN-based methods for offline arabic handwriting recognition: a review
Abstract Arabic Handwriting Recognition (AHR) is a complex task involving the
transformation of handwritten Arabic text from image format into machine-readable data …
transformation of handwritten Arabic text from image format into machine-readable data …
CovH2SD: A COVID-19 detection approach based on Harris Hawks Optimization and stacked deep learning
Abstract Starting from Wuhan in China at the end of 2019, coronavirus disease (COVID-19)
has propagated fast all over the world, affecting the lives of billions of people and increasing …
has propagated fast all over the world, affecting the lives of billions of people and increasing …
Recognizing arabic handwritten characters using deep learning and genetic algorithms
Automated techniques for Arabic content recognition are at a beginning period contrasted
with their partners for the Latin and Chinese contents recognition. There is a bulk of …
with their partners for the Latin and Chinese contents recognition. There is a bulk of …
A variate brain tumor segmentation, optimization, and recognition framework
The detection and brain tumor (BT) segmentation and classification are mandatory steps
before any radiotherapy or surgery. When performed manually, segmentation is time …
before any radiotherapy or surgery. When performed manually, segmentation is time …
Arabic handwritten recognition using deep learning: A survey
In recent times, many research projects and experiments target machines that automatically
recognize handwritten characters, but most of them are done in Latin. Recognizing …
recognize handwritten characters, but most of them are done in Latin. Recognizing …
A multi-variate heart disease optimization and recognition framework
Cardiovascular diseases (CVD) are the most widely spread diseases all over the world
among the common chronic diseases. CVD represents one of the main causes of morbidity …
among the common chronic diseases. CVD represents one of the main causes of morbidity …