Custom Hardware Inference Accelerator for TensorFlow Lite for Microcontrollers
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3189776
Abstract: In recent years, the need for the efficient deployment of Neural Networks (NN) on edge devices has been steadily increasing. However, the high computational demand required for Machine Learning (ML) inference on tiny microcontroller-based IoT… read more here.
Keywords: custom hardware; edge devices; hardware; accelerator ... See more keywords
Anatomy of Deep Learning Image Classification and Object Detection on Commercial Edge Devices: A Case Study on Face Mask Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3214214
Abstract: Developing efficient on-the-edge Deep Learning (DL) applications is a challenging and non-trivial task, as first different DL models need to be explored with different trade-offs between accuracy and complexity, second, various optimization options, frameworks and… read more here.
Keywords: edge devices; face; detection; anatomy ... See more keywords
StitchNet: Distributed On-Device Model Partitioning Over Edge Devices Under Volatile Wireless Links
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3215083
Abstract: Distributed deep learning architecture can achieve scalable learning and inference capability at resource-constrained edge devices. Although the parallelization-based approaches have actively been investigated in the edge computing context, they are not designed for the devices… read more here.
Keywords: edge devices; stitchnet; volatile wireless; model ... See more keywords
PG-YOLO: A Novel Lightweight Object Detection Method for Edge Devices in Industrial Internet of Things
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3223997
Abstract: With the rapid development of Industrial Internet of Things (IIoT) technology, video surveillance devices and video data in IIoT environments are massively growing and increasingly important. Deploying rapidly evolving deep learning-based object detection algorithms in… read more here.
Keywords: edge devices; industrial internet; detection; object detection ... See more keywords
Research on Pet Recognition Algorithm With Dual Attention GhostNet-SSD and Edge Devices
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3228808
Abstract: The ability to identify pets via smart home technology is crucial for managing pet health. However, the present popular object detection method model is too large, support for edge devices is insufficient, and performance is… read more here.
Keywords: network; ghostnet; edge devices; detection ... See more keywords
A Multiplier-less Convolutional Neural Network Inference Accelerator for Intelligent Edge Devices
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2021.3116044
Abstract: As the demand for neural network operations on edge devices increases, energy-efficient neural network inference solutions become necessary. To this end, this paper proposes a compact 4-bit number format (SD4) for neural network weights. In… read more here.
Keywords: network; multiplier less; neural network; edge devices ... See more keywords
Enabling Micro AI for Securing Edge Devices at Hardware Level
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2021.3126816
Abstract: Emerging embedded systems and Internet-of-Things (IoT) devices, which account for a wide range of applications are often highly resource-constrained that are challenging the software-based methods traditionally adopted for detecting and containing cyber-attacks (e.g., malware) in… read more here.
Keywords: micro securing; edge devices; detection; enabling micro ... See more keywords
MobiHisNet: A Lightweight CNN in Mobile Edge Computing for Histopathological Image Classification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3119520
Abstract: Recent advances in artificial intelligence (AI), especially convolutional neural networks (CNNs), alongside the digitization of histopathological images, have made the computer-aided diagnosis of breast cancer a reality. However, deep learning-based approaches are computationally expensive and… read more here.
Keywords: edge devices; mobihisnet; edge; image classification ... See more keywords
EdgePipe: Tailoring Pipeline Parallelism With Deep Neural Networks for Volatile Wireless Edge Devices
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3131407
Abstract: As intelligence recently moves to the edge to tackle the problems of privacy, scalability, and network bandwidth in the centralized intelligence, it is necessary to construct an efficient yet robust deep learning model viable at… read more here.
Keywords: edge devices; deep neural; pipeline; volatile wireless ... See more keywords
Lightweight Monocular Depth Estimation on Edge Devices
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3151374
Abstract: Given monocular images as inputs, monocular depth estimation (MDE) infers pixel-level depth. MDE is always a critical stage in scene sensing on edge devices. Existing MDE studies frequently employ deep neural networks (DNNs) for MDE,… read more here.
Keywords: edge devices; depth; depth estimation; monocular depth ... See more keywords
Dynamic Reliability Management of Multigateway IoT Edge Computing Systems
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3185082
Abstract: The emerging paradigm of edge computing envisions to overcome the shortcomings of cloud-centric Internet of Things (IoT) by providing data processing and storage capabilities closer to the source of data. Accordingly, IoT edge devices, with… read more here.
Keywords: iot edge; edge devices; reliability; management ... See more keywords