Zobrazeno 1 - 10
of 1 719
pro vyhledávání: '"Digit recognition"'
Autor:
Ruchika Malhotra, Maru Tesfaye Addis
Publikováno v:
SICE Journal of Control, Measurement, and System Integration, Vol 17, Iss 1, Pp 122-134 (2024)
Ge'ez has been used in Ethiopian churches for centuries to read and interpret the Bible. As a part of the liturgy and religious ceremonies, it is also utilized in prayer and chanting. Since the language is ancient, plenty of handwritten physical docu
Externí odkaz:
https://doaj.org/article/1e0c5e24dbf6492e983bf0dded165f78
Autor:
Tewodros Alemu Ayall, Changjun Zhou, Huawen Liu, Getnet Mezgebu Brhanemeskel, Solomon Teferra Abate, Michael Adjeisah
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-23 (2024)
Abstract Spoken digits recognition (SDR) is a type of supervised automatic speech recognition, which is required in various human–machine interaction applications. It is utilized in phone-based services like dialing systems, certain bank operations
Externí odkaz:
https://doaj.org/article/a7405594b3464674a043d43ad0e42209
Publikováno v:
Frontiers in Big Data, Vol 7 (2024)
IntroductionHyperdimensional Computing (HDC) is a brain-inspired and lightweight machine learning method. It has received significant attention in the literature as a candidate to be applied in the wearable Internet of Things, near-sensor artificial
Externí odkaz:
https://doaj.org/article/8966aafd8d4642248467e3c5494cfa31
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-21 (2024)
Abstract The challenge of supervised learning in spiking neural networks (SNNs) for digit classification from speech signals is examined in this study. Meta-heuristic algorithms and a fuzzy logic framework are used to train SNNs. Using gray wolf opti
Externí odkaz:
https://doaj.org/article/5f2d0633a8de42bc9df18eb67a437c56
Publikováno v:
Journal of Artificial Intelligence and Data Mining, Vol 11, Iss 2, Pp 247-257 (2023)
Nowadays, given the rapid progress in pattern recognition, new ideas such as theoretical mathematics can be exploited to improve the efficiency of these tasks. In this paper, the Discrete Wavelet Transform (DWT) is used as a mathematical framework to
Externí odkaz:
https://doaj.org/article/9dc22fc7f740419b993f1eee06adc769
Publikováno v:
IJAIN (International Journal of Advances in Intelligent Informatics), Vol 9, Iss 1, Pp 66-78 (2023)
Convolutional Neural Networks (CNNs) perform well compared to other deep learning models in image recognition, especially in handwritten alphabetic numeral datasets. CNN's challenging task is to find an architecture with the right hyperparameters. Us
Externí odkaz:
https://doaj.org/article/9b44437ba1ff4250a13b874799bc9bf1
Publikováno v:
Vojnotehnički Glasnik, Vol 71, Iss 1, Pp 113-135 (2023)
Introduction/purpose: This paper provides a survey of handwritten digit recognition methods tested on the MNIST dataset. Methods: The paper analyzes, synthesizes and compares the development of different classifiers applied to the handwritten digit
Externí odkaz:
https://doaj.org/article/961c0c7fe57446eab42aba3b144450b3
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