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Advancements and challenges in handwritten text recognition: A comprehensive survey
Handwritten Text Recognition (HTR) is essential for digitizing historical documents in
different kinds of archives. In this study, we introduce a hybrid form archive written in French …
different kinds of archives. In this study, we introduce a hybrid form archive written in French …
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 …
[PDF][PDF] Arabic Optical Character Recognition: A Review.
This study aims to review the latest contributions in Arabic Optical Character Recognition
(OCR) during the last decade, which helps interested researchers know the existing …
(OCR) during the last decade, which helps interested researchers know the existing …
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 …
Comprehensive machine and deep learning analysis of sensor-based human activity recognition
Abstract Human Activity Recognition (HAR) is a crucial research focus in the body area
networks and pervasive computing domains. The goal of HAR is to examine activities from …
networks and pervasive computing domains. The goal of HAR is to examine activities from …
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 …
A comprehensive framework towards segmenting and classifying breast cancer patients using deep learning and Aquila optimizer
Breast cancer is among the major frequent types of cancer worldwide, causing a significant
death rate every year. It is the second most prevalent malignancy in Egypt. With the …
death rate every year. It is the second most prevalent malignancy in Egypt. With the …
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 …
Handwritten computer science words vocabulary recognition using concatenated convolutional neural networks
Handwriting recognition is a multi-step process that includes data collection, preprocessing,
feature extraction, and classification in order to create a final prediction. This process …
feature extraction, and classification in order to create a final prediction. This process …