A survey comparing specialized hardware and evolution in TPUs for neural networks
A Shahid, M Mushtaq - 2020 IEEE 23rd International Multitopic …, 2020 - ieeexplore.ieee.org
This survey paper is based on the evolution of TPUs from first generation TPUs to edge
TPUs and their architectures. This paper compares CPUs, GPUs, FPGAs and TPUs, their …
TPUs and their architectures. This paper compares CPUs, GPUs, FPGAs and TPUs, their …
A comprehensive review of one-stage networks for object detection
Y Zhang, X Li, F Wang, B Wei… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Object detection has always been a hot topic in image processing, which is important in a
variety of applications. With the advent of the era of big data and the continuous …
variety of applications. With the advent of the era of big data and the continuous …
Assistive system for the blind with voice output based on optical character recognition
Everyone deserves to live freely, even those who are impaired. In recent decades,
technology has focused on empowering disabled people to have as much control over their …
technology has focused on empowering disabled people to have as much control over their …
The potential of artificial intelligence for assistive technology in education
K Zdravkova - Handbook on Intelligent Techniques in the Educational …, 2022 - Springer
The right to education is a fundamental human right and an indispensable prerequisite for
the development of human beings. To become well-rounded and independent from others …
the development of human beings. To become well-rounded and independent from others …
Exploring deep learning approaches to recognize handwritten arabic texts
Recognition of cursive handwritten Arabic text is a difficult problem because of context-
sensitive character shapes, the non-uniform spacing between words and within a word …
sensitive character shapes, the non-uniform spacing between words and within a word …
Mmu-ocr-21: Towards end-to-end urdu text recognition using deep learning
Optical Character Recognition (OCR) is a technique that generates text from an image.
Recognizing the importance of OCR in real-world settings, a plethora of techniques have …
Recognizing the importance of OCR in real-world settings, a plethora of techniques have …
Efficient CRNN: Towards end-to-end low resource Urdu text recognition using depthwise separable convolutions and gated recurrent units
In this study, a novel technique is proposed to recognize printed text in images for Urdu, a
low-resource language with a scarcity of benchmark datasets. The proposed technique is …
low-resource language with a scarcity of benchmark datasets. The proposed technique is …
Deep learning-aided OCR techniques for Chinese uppercase characters in the application of Internet of Things
Optical character recognition (OCR) has become one of the most important techniques in
computer vision, given that it can easily obtain digital information from various images on the …
computer vision, given that it can easily obtain digital information from various images on the …
A proposed framework for recognition of handwritten cursive english characters using DAG-CNN
PV Bhagyasree, A James… - 2019 1st International …, 2019 - ieeexplore.ieee.org
Handwritten Character Recognition (HCR) plays an important role in Optical character
Recognition (OCR) and Pattern Recognition (PR), as it has a good number of applications in …
Recognition (OCR) and Pattern Recognition (PR), as it has a good number of applications in …
Recognition of multifont English electronic prescribing based on convolution neural network algorithm
MJ Mohammed, EA Mohammed… - Bio-Algorithms and Med …, 2020 - degruyter.com
The printed character recognition is an efficient and automatic method for inputting
information to a computer nowadays that is used to translate the printed or handwritten …
information to a computer nowadays that is used to translate the printed or handwritten …