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Academic Articles & Research Papers
Showing 11 of 11 academic articles
Jurgen Vanhamel, Marc Berwaerts, Stefano Speretta, Sevket Uludag • Atmosphere
(2024)
Current monitoring systems to detect sporadic E use ground-based setups, ionosondes, and the network of GNSS satellites in order to assess the phenomenon of sporadic E. This paper aims to monitor sporadic E using a miniature space-based pla...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/atmos15111306
K Pradeep Reddy, Venkateswarlu Chandu, Sambhana Srilakshmi, Elia Thagaram et al. • International Journal of Engineering Business Management
(2023)
In today’s commercial world, ecological concerns have become increasingly essential. A lot of governments care about environmental issues. Sustainable development that doesn’t harm the environment is a major concern for companies today. The...
DOAJ
Open Access (DOAJ)
DOI: 10.1177/18479790231170962
Babu Ram Sankhi, Erwan Peigney, Hayden Brown, Pius Suh et al. • AIP Advances
(2025)
Single-molecule magnets (SMMs) are pivotal in molecular spintronics, showing unique quantum behaviors that can advance spin-based technologies. By incorporating SMMs into magnetic tunnel junctions (MTJs), new possibilities emerge for low-po...
DOAJ
Open Access (DOAJ)
DOI: 10.1063/9.0000868
Alexis De Vos (2010)
Written by one of the few top internationally recognized experts in the field, this book concentrates on those topics that will remain fundamental, such as low power computing, reversible programming languages, and applications in thermodyn...
OPENALEX
Chua Shin Cheng, Ashutosh Kumar Singh • Advances in Electrical and Electronic Engineering
(2014)
Reversible logic circuits have been historically motivated by theoretical research in low-power, and recently attracted interest as components of the quantum algorithm, optical computing and nanotechnology. However due to the intrinsic prop...
DOAJ
Open Access (DOAJ)
DOI: 10.15598/aeee.v12i3.916
Paul W. Poteete • Array
(2023)
The ability to create low-cost, high-availability, moderate-performance, low-power, sustainable file storage clusters that may be organically distributed throughout an organization would allow organizations to bring data back from cloud-bas...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.array.2022.100275
George K. Thiruvathukal, Yung-Hsiang Lu, Jaeyoun Kim, Yiran Chen et al. • Chapman & Hall/CRC eBooks
(2022)
Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Visio...
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Open Access
DOI: https://doi.org/10.1201/9781003162810
Rui Zhang, Ranran Zhou, Zuting Zhong, Haifeng Qi et al. • Sensors
(2024)
Binarized convolutional neural networks (bCNNs) are favored for the design of low-storage, low-power cardiac arrhythmia classifiers owing to their high weight compression rate. However, multi-class classification of ECG signals based on bCN...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s24227207
Subbulakshmi M, Mohammad Malik Mubeen S, Mohamed Ali E A • AIP Advances
(2026)
Digital images acquired through imaging systems often lose their original fidelity due to various types of noise introduced during acquisition, storage, or transmission, consequently reducing clarity and adversely affecting subsequent image...
DOAJ
Open Access (DOAJ)
DOI: 10.1063/5.0332993
Yernazar Bolat, Iain Murray, Yifei Ren, Nasim Ferdosian • Sensors
(2025)
The growing adoption of IoT applications has led to increased use of low-power microcontroller units (MCUs) for energy-efficient, local data processing. However, deploying deep neural networks (DNNs) on these constrained devices is challeng...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s25154595
Sameer Qazi, Bilal A. Khawaja, Qazi Umar Farooq • IEEE Access
(2022)
Smart agriculture techniques have recently seen widespread interest by farmers. This is driven by several factors, which include the widespread availability of economically-priced, low-powered Internet of Things (IoT) based wireless sensors...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3152544