Zobrazeno 1 - 10
of 901
pro vyhledávání: '"TinyML"'
Autor:
R. Arthi, S. Krishnaveni
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-28 (2024)
Abstract The Internet of things (IoT)-based healthcare decision support system plays a crucial role in modern medicine, especially with the rise in chronic illnesses and an aging population necessitating continuous remote health monitoring. Current h
Externí odkaz:
https://doaj.org/article/081c9cf32524473d8e811659af1ba22c
Publikováno v:
BioMedInformatics, Vol 4, Iss 2, Pp 1519-1530 (2024)
Background: Continuous glucose monitoring (CGM) systems offer the advantage of noninvasive monitoring and continuous data on glucose fluctuations. This study introduces a new model that enables the generation of synthetic but realistic databases that
Externí odkaz:
https://doaj.org/article/956b6b585d5043df827aa9f18587cd06
Publikováno v:
SoftwareX, Vol 27, Iss , Pp 101778- (2024)
Machine learning and AI remain hot topics in research. However, most machine-learning models are trained and applied to big data. Major electronics parts manufacturers are actively working on simplifying the deployment of machine learning models to t
Externí odkaz:
https://doaj.org/article/f71b661b99ec4c59ac9d65c15d955a34
Autor:
Dennis Agyemanh Nana Gookyi, Fortunatus Aabangbio Wulnye, Ewura Abena Essanoah Arthur, Roger Kwao Ahiadormey, Justice Owusu Agyemang, Kwame Opuni-Boachie Obour Agyekum, Raymond Gyaang
Publikováno v:
Smart Agricultural Technology, Vol 8, Iss , Pp 100490- (2024)
Maize, a vital global food crop, is susceptible to various diseases impacting agricultural yield and quality, necessitating effective monitoring strategies. This study presents a comprehensive approach utilizing advanced Convolutional Neural Network
Externí odkaz:
https://doaj.org/article/4696e7101663462bb438f3b899073be4
Publikováno v:
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, Vol 11, Iss 3 (2024)
Hand gesture recognition using a camera provides an intuitive and promising means of human-computer interaction and allows operators to execute commands and control machines with simple gestures. Research in hand gesture recognition-based control sys
Externí odkaz:
https://doaj.org/article/546ccf5187824d39ba818ada65cdd275
Publikováno v:
IEEE Access, Vol 12, Pp 155632-155643 (2024)
The development of technologies related to the TinyML concept observed in recent years forces us to consider the trade-off between inference time and recognition quality. Moreover, employing data stream processing methods to analyze large volumes of
Externí odkaz:
https://doaj.org/article/80deeb81b8f2423ea1da4a12d039378a
Publikováno v:
IEEE Access, Vol 12, Pp 108703-108730 (2024)
As technology advances, the use of Machine Learning (ML) in cybersecurity is becoming increasingly crucial to tackle the growing complexity of cyber threats. While traditional ML models can enhance cybersecurity, their high energy and resource demand
Externí odkaz:
https://doaj.org/article/c9679fe1fd1f4576b4cf2f2d1ff90367
Autor:
Moshiur Rahman Tonmoy, Abdul Fattah Rakib, Rashik Rahman, Md. Akhtaruzzaman Adnan, M. F. Mridha, Jie Huang, Jungpil Shin
Publikováno v:
IEEE Open Journal of the Computer Society, Vol 5, Pp 120-130 (2024)
Font style recognition plays a vital role in the field of computer vision, particularly in document and pattern analysis, and image processing. In the industry context, this recognition of font styles holds immense importance for professionals such a
Externí odkaz:
https://doaj.org/article/db41d852b44e4636894fe90fc63cd981
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 1656-1672 (2024)
Tiny machine learning (TinyML) is a promising approach to enable intelligent applications relying on Human Activity Recognition (HAR) on resource-limited and low-power Internet of Things (IoT) edge devices. However, designing efficient TinyML models
Externí odkaz:
https://doaj.org/article/882f843ff02944dd94bdaabec6468adc
Publikováno v:
IEEE Access, Vol 12, Pp 23406-23426 (2024)
The emergence of Tiny Machine Learning (TinyML) has positively revolutionized the field of Artificial Intelligence by promoting the joint design of resource-constrained IoT hardware devices and their learning-based software architectures. TinyML carr
Externí odkaz:
https://doaj.org/article/7ca7d27de73d4caf9ca89f9a8c3b7d8a