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Publikováno v:
IEEE Access, Vol 12, Pp 93946-93956 (2024)
X-ray is a commonly used imaging method for the diagnosis and evaluation of osteoporosis, which has crucial clinical diagnostic significance. To ensure the high fidelity requirements of medical image diagnosis and achieve high-quality transmission an
Externí odkaz:
https://doaj.org/article/08e137e936ad4fe49f65e773cb814d96
Autor:
Reza Zendegani, Saeed Safari
Publikováno v:
IEEE Access, Vol 12, Pp 94135-94151 (2024)
Multiplication is a necessary arithmetic operation in signal processing and machine learning algorithms. This paper proposes a novel method called Approximate Multiplier with Configurable Accuracy Levels (AMCAL) to obtain energy and area savings. The
Externí odkaz:
https://doaj.org/article/b9449f33353e467a8f9faebd01d68d67
Publikováno v:
IEEE Access, Vol 12, Pp 89585-89598 (2024)
Peatland poses a severe environmental threat due to its potential for massive carbon emission during fires. Conventional Ground Water Level (GWL) monitoring in peatlands is labor-intensive and lacks real-time data, hindering effective management. To
Externí odkaz:
https://doaj.org/article/a0c6c82ca9be43398be4e75479a18a10
Maximizing English Teaching Efficacy With Particle Swarm Optimization-Driven Neural Network Training
Publikováno v:
IEEE Access, Vol 12, Pp 86232-86241 (2024)
This study investigates the potential of Particle Swarm Optimization (PSO)-based Neural Network (NN) training to enhance the efficacy of English language instruction. Recognizing English as a global language vital for international communication and
Externí odkaz:
https://doaj.org/article/faa3ed11b7c94280b0a8b8416a1f13da
Publikováno v:
IEEE Access, Vol 12, Pp 86106-86119 (2024)
During online communication, users often use irregular and ambiguous words, and sometimes use irony to express sarcasm. These words are difficult to analyze through text analysis, which poses a significant challenge for text sentiment analysis. As a
Externí odkaz:
https://doaj.org/article/414e61fa2d8b4dfc929dce020b78125a
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 5, Pp 281-295 (2024)
With the growing interest in self-driving vehicles, safety in vehicle driving is becoming an increasingly important aspect. The sideslip angle is a key quantity for modern control systems that aim to improve passenger safety. It directly affects the
Externí odkaz:
https://doaj.org/article/e827c1b082244b95bec7b388d73f4f2a
Publikováno v:
IEEE Access, Vol 12, Pp 79166-79176 (2024)
The existing diagnostic methods for Alzheimer’s disease (AD) require considerable time and expense from patients, and approaches employing machine learning have also failed to address these issues. We propose a mobile device-targeted AD diagnosis n
Externí odkaz:
https://doaj.org/article/54db54dcb1014747a7321b974c1c869d
Autor:
Ruslan Shevchuk, Vasyl Martsenyuk
Publikováno v:
IEEE Access, Vol 12, Pp 81265-81280 (2024)
The growing interest in applying neural networks for cybersecurity has prompted a substantial increase in related research. This paper presents a comprehensive bibliometric analysis of research on cybersecurity towards neural networks published in th
Externí odkaz:
https://doaj.org/article/8d3c9cbe97a14fc7a7c0592db4a27046
Publikováno v:
IEEE Access, Vol 12, Pp 79189-79201 (2024)
In this article, the trajectory planning and high-precision motion control of an excavator based on the independent hydraulic system of the load port are studied. A trajectory planning algorithm based on the combination of a quintic non-uniform B-spl
Externí odkaz:
https://doaj.org/article/3750458c6bc54fc1befff6cef8440680
Autor:
Qingchao Zhang, Osama Sohaib
Publikováno v:
IEEE Access, Vol 12, Pp 80976-80985 (2024)
With the advent of digital intelligent education, educational resources are expanding. In the realm of physical education, data encompassing students’ physical fitness test results, sports performance, and health status stand as pivotal pillars for
Externí odkaz:
https://doaj.org/article/75d6cda4fa8a4dd48327139961b99e66