Hardware-Aware Pruning for Efficient Inference on Embedded Devices
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3628133
Abstract: With more powerful yet efficient embedded devices and accelerators being available for Deep Neural Networks (DNNs), machine learning is becoming an integral part of edge computing. In application scenarios with real-time requirements and multiple sensors… read more here.
Keywords: pruning efficient; embedded devices; aware pruning; latency ... See more keywords
ELOFS: An Extensible Low-Overhead Flash File System for Resource-Scarce Embedded Devices
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2022.3152079
Abstract: Emerging applications like machine learning in embedded devices (e.g., satellites and vehicles) require huge storage space, which recently stimulates the widespread deployment of large-scale flash memory in IoT devices. However, existing embedded file systems fall… read more here.
Keywords: embedded devices; file; resource scarce; file system ... See more keywords
Understanding Security Risks of Embedded Devices Through Fine-Grained Firmware Fingerprinting
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2021.3119970
Abstract: An increasing number of embedded devices are connecting to the Internet, ranging from cameras, routers to printers, while an adversary can exploit security flaws already known to compromise those devices. Security patches are usually associated… read more here.
Keywords: embedded devices; security; firmware; fine grained ... See more keywords
LSTable: A New White-Box Cipher for Embedded Devices in IoT Against Side-Channel Attacks
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Emerging Topics in Computing"
DOI: 10.1109/tetc.2025.3575787
Abstract: Embedded devices such as sensors and surveillance cameras play a critical role in the Internet of Things (IoT). However, their unattended and wireless features expose them to a high risk of side-channel attacks. These attacks… read more here.
Keywords: side channel; white box; embedded devices; channel attacks ... See more keywords
SDSRS: A Novel White-Box Cryptography Scheme for Securing Embedded Devices in IIoT
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2019.2929431
Abstract: In this article, with the rapid development of industrial Internet of Things, a large number of embedded devices, such as sensors and tag readers, have been widely deployed for gathering and sending data. These devices… read more here.
Keywords: white box; scheme; box; embedded devices ... See more keywords
A Lightweight Microscopic Metal Fracture Classification Method With Structure Pruning and Knowledge Distillation for Embedded Devices
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2024.3509596
Abstract: Microscopic metal fracture (MF) recognition is essential for modern intelligent fault diagnosis. Existing deep learning (DL) methods have achieved high recognition performance but are hard to apply on industrial resource-limited devices due to being overparameterized.… read more here.
Keywords: classification; microscopic; microscopic metal; metal fracture ... See more keywords
EWVHunter: Grey-Box Fuzzing with Knowledge Guide on Embedded Web Front-Ends
Sign Up to like & getrecommendations! Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10114015
Abstract: At present, embedded devices have become a part of people’s lives, so detecting security vulnerabilities contained in devices becomes imperative. There are three challenges in detecting embedded device vulnerabilities: (1) Most network protocols are stateful;… read more here.
Keywords: front end; embedded devices; web front; communication ... See more keywords
SSD7-FFAM: A Real-Time Object Detection Network Friendly to Embedded Devices from Scratch
Sign Up to like & getrecommendations! Published in 2021 at "Applied Sciences"
DOI: 10.3390/app11031096
Abstract: The high requirements for computing and memory are the biggest challenges in deploying existing object detection networks to embedded devices. Living lightweight object detectors directly use lightweight neural network architectures such as MobileNet or ShuffleNet… read more here.
Keywords: time; ssd7 ffam; object detection; embedded devices ... See more keywords
A Review of Artificial Intelligence in Embedded Systems
Sign Up to like & getrecommendations! Published in 2023 at "Micromachines"
DOI: 10.3390/mi14050897
Abstract: Advancements in artificial intelligence algorithms and models, along with embedded device support, have resulted in the issue of high energy consumption and poor compatibility when deploying artificial intelligence models and networks on embedded devices becoming… read more here.
Keywords: embedded devices; intelligence; intelligence embedded; review artificial ... See more keywords
Exploring Artificial Intelligence in Smart Education: Real-Time Classroom Behavior Analysis with Embedded Devices
Sign Up to like & getrecommendations! Published in 2023 at "Sustainability"
DOI: 10.3390/su15107940
Abstract: Modern education has undergone tremendous progress, and a large number of advanced devices and technologies have been introduced into the teaching process. We explore the application of artificial intelligence to education, using AI devices for… read more here.
Keywords: embedded devices; education; analysis; real time ... See more keywords