[HTML][HTML] Computer vision algorithms and hardware implementations: A survey
X Feng, Y Jiang, X Yang, M Du, X Li - Integration, 2019 - Elsevier
The field of computer vision is experiencing a great-leap-forward development today. This
paper aims at providing a comprehensive survey of the recent progress on computer vision …
paper aims at providing a comprehensive survey of the recent progress on computer vision …
A comprehensive review of convolutional neural networks for defect detection in industrial applications
Quality inspection and defect detection remain critical challenges across diverse industrial
applications. Driven by advancements in Deep Learning, Convolutional Neural Networks …
applications. Driven by advancements in Deep Learning, Convolutional Neural Networks …
A systematic literature review on hardware implementation of artificial intelligence algorithms
Artificial intelligence (AI) and machine learning (ML) tools play a significant role in the recent
evolution of smart systems. AI solutions are pushing towards a significant shift in many fields …
evolution of smart systems. AI solutions are pushing towards a significant shift in many fields …
Accelerating CNN inference on FPGAs: A survey
Convolutional Neural Networks (CNNs) are currently adopted to solve an ever greater
number of problems, ranging from speech recognition to image classification and …
number of problems, ranging from speech recognition to image classification and …
Delving deeper into convolutional neural networks for camera relocalization
Convolutional Neural Networks (CNNs) have been applied to camera relocalization, which
is to infer the pose of the camera given a single monocular image. However, there are still …
is to infer the pose of the camera given a single monocular image. However, there are still …
Pruning deep convolutional neural networks architectures with evolution strategy
Abstract Currently, Deep Convolutional Neural Networks (DCNNs) are used to solve all
kinds of problems in the field of machine learning and artificial intelligence due to their …
kinds of problems in the field of machine learning and artificial intelligence due to their …
Various frameworks and libraries of machine learning and deep learning: a survey
Z Wang, K Liu, J Li, Y Zhu, Y Zhang - Archives of computational methods in …, 2019 - Springer
With the rapid development of deep learning in various fields, the big companies and
research teams have developed independent and unique tools. This paper collects 18 …
research teams have developed independent and unique tools. This paper collects 18 …
[HTML][HTML] Sustainable Machine Vision for Industry 4.0: A Comprehensive Review of Convolutional Neural Networks and Hardware Accelerators in Computer Vision
M Hussain - AI, 2024 - mdpi.com
As manifestations of Industry 4.0. become visible across various applications, one key and
opportune area of development are quality inspection processes and defect detection. Over …
opportune area of development are quality inspection processes and defect detection. Over …
Accurate on-chip temperature sensing for multicore processors using embedded thermal sensors
X Li, Z Li, W Zhou, Z Duan - IEEE Transactions on Very Large …, 2020 - ieeexplore.ieee.org
Thermal issues seriously restrict the quality, reliability, and lifetime of semiconductor chips.
To prevent thermal runaway situations, modern processors deploy numerous on-die thermal …
To prevent thermal runaway situations, modern processors deploy numerous on-die thermal …
Priority-based PCIe scheduling for multi-tenant multi-GPU systems
Multi-GPU systems are widely used in data centers to provide significant speedups to
compute-intensive workloads such as deep neural network training. However, limited PCIe …
compute-intensive workloads such as deep neural network training. However, limited PCIe …