Zobrazeno 1 - 10
of 416
pro vyhledávání: '"Embedded hardware"'
Publikováno v:
IEEE Access, Vol 12, Pp 123276-123293 (2024)
Early awareness of inference performance ensures the feasibility of machine learning for embedded deployment. Often, ML model selection often focuses first on training performance and accuracy, with inference considered second. While prioritizing tra
Externí odkaz:
https://doaj.org/article/9b3a3f1564d7460c894ab6ce1fb3819d
Autor:
Anne K. Madsen, Darshika G. Perera
Publikováno v:
IEEE Access, Vol 11, Pp 106141-106171 (2023)
In the era of climate change, and with the rapid depletion of fossil resources, efficient and sustainable transportation systems, such as hybrid electric vehicles (HEVs), are becoming imperative. The cornerstone of HEVs is the efficient battery techn
Externí odkaz:
https://doaj.org/article/f26e7b4192c34e0da5c43ad9315d8106
Publikováno v:
SoftwareX, Vol 22, Iss , Pp 101348- (2023)
In a previous publication, we presented CRAPPY, a Python module designed for researchers wishing to easily develop code for driving complex experimental setups. In a complemented version, now targeting a broader audience, we extended the framework to
Externí odkaz:
https://doaj.org/article/4c76784f25ee4766ac731441322250a2
Akademický článek
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Autor:
Gökhan İŞNAS, Nurettin ŞENYER
Publikováno v:
Gazi Üniversitesi Fen Bilimleri Dergisi, Vol 9, Iss 3, Pp 373-384 (2021)
Embedded hardware screens that provide communication between human and machine are becoming more common every day. User interfaces called GUI (Graphical User Interface) are used on embedded hardware displays to display data about the operation of the
Externí odkaz:
https://doaj.org/article/88c25711e4aa4fa1ab375bdef036ced5
Publikováno v:
Radioengineering, Vol 30, Iss 2, Pp 364-371 (2021)
The Discrete Zolotarev Transform (DZT) brings an improvement in the field of spectral analysis of non-stationary signals. However, the transformation algorithm called Approximated Discrete Zolotarev Transform (ADZT) suffers from high computational co
Externí odkaz:
https://doaj.org/article/b7eecea028aa49a39d0a963cbf73fa45
Publikováno v:
Sensors, Vol 23, Iss 12, p 5386 (2023)
Maritime obstacle detection is critical for safe navigation of autonomous surface vehicles (ASVs). While the accuracy of image-based detection methods has advanced substantially, their computational and memory requirements prohibit deployment on embe
Externí odkaz:
https://doaj.org/article/b7eb7d1976104290a5737ed6ccd9c951
Publikováno v:
IEEE Access, Vol 9, Pp 140921-140937 (2021)
Increasingly complex robotic platforms incorporate heterogeneous sensors and actuators. They are usually coupled with embedded computers but relying on software solutions not entirely suited for processing large amount of data concurrently and fast e
Externí odkaz:
https://doaj.org/article/785349475a4c430ba15fdf01058dba9f
Autor:
Arkan Alkamil, Darshika G. Perera
Publikováno v:
IEEE Access, Vol 8, Pp 221720-221742 (2020)
In the era of IoT, embedded systems are becoming the cornerstone of many IoT related applications, such as smart cars and wearable devices. However, embedded devices have numerous constraints and requirements, including stringent area and power, redu
Externí odkaz:
https://doaj.org/article/2871286705fc46e399045045078f1fac
Publikováno v:
Micromachines, Vol 13, Iss 10, p 1738 (2022)
Deep learning methods have exhibited the great capacity to process object detection tasks, offering a practical and viable approach in many applications. When researchers have advanced deep learning models to improve their performance, the model deri
Externí odkaz:
https://doaj.org/article/a43d00c59b894a7bb2f87b3b913ca1c0