Future data center energy-conservation and emission-reduction technologies in the context of smart and low-carbon city construction
The energy consumption of data centers accounts for approximately 1% of that of the world,
the average power usage effectiveness is in the range of 1.4–1.6, and the associated carbon …
the average power usage effectiveness is in the range of 1.4–1.6, and the associated carbon …
Trends in AI inference energy consumption: Beyond the performance-vs-parameter laws of deep learning
R Desislavov, F Martínez-Plumed… - … Informatics and Systems, 2023 - Elsevier
The progress of some AI paradigms such as deep learning is said to be linked to an
exponential growth in the number of parameters. There are many studies corroborating …
exponential growth in the number of parameters. There are many studies corroborating …
Computer vision-based cybernetics systems for promoting modern poultry farming: a critical review
As global demands on the poultry production and welfare both intensify, the precision
poultry farming technologies such as computer vision-based cybernetics system is …
poultry farming technologies such as computer vision-based cybernetics system is …
Deep learning framework for vehicle and pedestrian detection in rural roads on an embedded GPU
L Barba-Guaman, J Eugenio Naranjo, A Ortiz - Electronics, 2020 - mdpi.com
Object detection, one of the most fundamental and challenging problems in computer vision.
Nowadays some dedicated embedded systems have emerged as a powerful strategy for …
Nowadays some dedicated embedded systems have emerged as a powerful strategy for …
Lightweight blockchain processing. Case study: scanned document tracking on tezos blockchain
Featured Application This paper establishes the proof-of-concepts for using on-chain/off-
chain load balancing as an enabler for Blockchain deployment on lightweight computing …
chain load balancing as an enabler for Blockchain deployment on lightweight computing …
State of art IoT and Edge embedded systems for real-time machine vision applications
IoT and edge devices dedicated to run machine vision algorithms are usually few years
lagging currently available state-of-the-art technologies for hardware accelerators. This is …
lagging currently available state-of-the-art technologies for hardware accelerators. This is …
Hardware accelerators for real-time face recognition: A survey
A Baobaid, M Meribout, VK Tiwari, JP Pena - IEEE Access, 2022 - ieeexplore.ieee.org
Real-time face recognition has been of great interest in the last decade due to its wide and
varied critical applications which include biometrics, security in public places, and …
varied critical applications which include biometrics, security in public places, and …
Acoustic and plasma sensing of laser ablation via deep learning
Monitoring laser ablation when using high power lasers can be challenging due to plasma
obscuring the view of the machined sample. Whilst the appearance of the generated plasma …
obscuring the view of the machined sample. Whilst the appearance of the generated plasma …
Hardware architectures for real-time medical imaging
Medical imaging is considered one of the most important advances in the history of medicine
and has become an essential part of the diagnosis and treatment of patients. Earlier …
and has become an essential part of the diagnosis and treatment of patients. Earlier …
Intelligent transportation system based on smart soft-sensors to analyze road traffic and assist driver behavior applicable to smart cities
Sensors are considered as a great invention that radically contributed to saving time and
effort for humans while moving or transporting things. That's the reason why, researchers are …
effort for humans while moving or transporting things. That's the reason why, researchers are …