A review on the long short-term memory model
Long short-term memory (LSTM) has transformed both machine learning and
neurocomputing fields. According to several online sources, this model has improved …
neurocomputing fields. According to several online sources, this model has improved …
Handwritten optical character recognition (OCR): A comprehensive systematic literature review (SLR)
Given the ubiquity of handwritten documents in human transactions, Optical Character
Recognition (OCR) of documents have invaluable practical worth. Optical character …
Recognition (OCR) of documents have invaluable practical worth. Optical character …
A deep learning-based framework for automatic brain tumors classification using transfer learning
Brain tumors are the most destructive disease, leading to a very short life expectancy in their
highest grade. The misdiagnosis of brain tumors will result in wrong medical intercession …
highest grade. The misdiagnosis of brain tumors will result in wrong medical intercession …
An effective approach to detect and identify brain tumors using transfer learning
Brain tumors are considered one of the most serious, prominent and life-threatening
diseases globally. Brain tumors cause thousands of deaths every year around the globe …
diseases globally. Brain tumors cause thousands of deaths every year around the globe …
Leveraging big data analytics in healthcare enhancement: trends, challenges and opportunities
Clinical decisions are more promising and evidence-based, hence, big data analytics to
assist clinical decision-making has been expressed for a variety of clinical fields. Due to the …
assist clinical decision-making has been expressed for a variety of clinical fields. Due to the …
Handwriting dynamics assessment using deep neural network for early identification of Parkinson's disease
The etiology of Parkinson's disease (PD) remains unclear. Symptoms usually appear after
approximately 70% of dopamine-producing cells have stopped working normally. PD cannot …
approximately 70% of dopamine-producing cells have stopped working normally. PD cannot …
RETRACTED ARTICLE: Refining Parkinson's neurological disorder identification through deep transfer learning
A Naseer, M Rani, S Naz, MI Razzak, M Imran… - Neural Computing and …, 2020 - Springer
Abstract Parkinson's disease (PD), a multi-system neurodegenerative disorder which affects
the brain slowly, is characterized by symptoms such as muscle stiffness, tremor in the limbs …
the brain slowly, is characterized by symptoms such as muscle stiffness, tremor in the limbs …
Three dimensional objects recognition & pattern recognition technique; related challenges: A review
S Rani, K Lakhwani, S Kumar - Multimedia Tools and Applications, 2022 - Springer
Abstract 3D object recognition and pattern recognition are active and fast-growing research
areas in the field of computer vision. It is mandatory to define the pattern class, feature …
areas in the field of computer vision. It is mandatory to define the pattern class, feature …
Cursive text recognition in natural scene images using deep convolutional recurrent neural network
Text recognition in natural scene images is a challenging problem in computer vision.
Different than the optical character recognition (OCR), text recognition in natural scene …
Different than the optical character recognition (OCR), text recognition in natural scene …
UrduDeepNet: offline handwritten Urdu character recognition using deep neural network
Handwritten Urdu character recognition system faces several challenges including the writer-
dependent variations and non-availability of benchmark databases for cursive writing …
dependent variations and non-availability of benchmark databases for cursive writing …