Implement Improved Process Design Using a Lightweight Deep Learning Model to Reduce Hardware Computational Load in Instance Segmentation: Using Apple Dataset
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3204276
Abstract: The use of deep learning using image data has already made a lot of progress. The main function is to track or classify related objects with the model of the data set in which the… read more here.
Keywords: using lightweight; learning; deep learning; model ... See more keywords
An Intelligent Driving Assistance System Based on Lightweight Deep Learning Models
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DOI: 10.1109/access.2022.3213328
Abstract: An intelligent driver assistance system is developed in this study, which is able to remind the drivers to turn on the head lights or wipers through situation recognition method when driving at night or on… read more here.
Keywords: system; assistance; assistance system; deep learning ... See more keywords
TILPDeep: A Lightweight Deep Learning Technique for Handwritten Transformed Invariant Pashto Text Recognition
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3248508
Abstract: Pashto is the native language of Afghanistan and one of Pakistan’s most essential and regional languages. The Pashto language has a vast number of native speakers who live in various parts of the world. The… read more here.
Keywords: handwritten; deep learning; lightweight deep; transformed invariant ... See more keywords
Cloud-Edge-End Cooperative Detection of Wind Turbine Blade Surface Damage Based on Lightweight Deep Learning Network
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet Computing"
DOI: 10.1109/mic.2022.3175935
Abstract: Blade health is directly related to the safety and efficiency of wind turbine (WT) operation. In this article, a cloud-edge-end collaborative detection method for WT blade surface damage is proposed based on lightweight deep learning… read more here.
Keywords: detection; deep learning; lightweight deep; surface damage ... See more keywords
LPRNet: Lightweight Deep Network by Low-rank Pointwise Residual Convolution
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3117685
Abstract: Deep learning has become popular in recent years primarily due to powerful computing devices such as graphics processing units (GPUs). However, it is challenging to deploy these deep models to multimedia devices, smartphones, or embedded… read more here.
Keywords: convolution; low rank; rank pointwise; lightweight deep ... See more keywords
Deep PLS: A Lightweight Deep Learning Model for Interpretable and Efficient Data Analytics.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3154090
Abstract: The salient progress of deep learning is accompanied by nonnegligible deficiencies, such as: 1) interpretability problem; 2) requirement for large data amounts; 3) hard to design and tune parameters; and 4) heavy computation complexity. Despite… read more here.
Keywords: neural networks; deep pls; interpretable efficient; deep learning ... See more keywords
Feature Recognition and Style Transfer of Painting Image Using Lightweight Deep Learning
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/1478371
Abstract: This work aims to improve the feature recognition efficiency of painting images, optimize the style transfer effect of painting images, and save the cost of computer work. First, the theoretical knowledge of painting image recognition… read more here.
Keywords: recognition; feature recognition; transfer; lightweight deep ... See more keywords
Retracted: An Effective and Lightweight Deep Electrocardiography Arrhythmia Recognition Model Using Novel Special and Native Structural Regularization Techniques on Cardiac Signal
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Healthcare Engineering"
DOI: 10.1155/2023/9862375
Abstract: [This retracts the article DOI: 10.1155/2022/3408501.]. read more here.
Keywords: arrhythmia recognition; deep electrocardiography; retracted effective; electrocardiography arrhythmia ... See more keywords
A lightweight deep neural network with higher accuracy
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DOI: 10.1371/journal.pone.0271225
Abstract: To improve accuracy of the MobileNet network, a new lightweight deep neural network is designed based on the MobileNetV2 network. Firstly, it modifies the network depth of MobileNetV2 to balance the image resolution, network width… read more here.
Keywords: neural network; network; deep neural; accuracy ... See more keywords
UAV Dynamic Object Tracking with Lightweight Deep Vision Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2023 at "Algorithms"
DOI: 10.3390/a16050227
Abstract: Several approaches have applied Deep Reinforcement Learning (DRL) to Unmanned Aerial Vehicles (UAVs) to do autonomous object tracking. These methods, however, are resource intensive and require prior knowledge of the environment, making them difficult to… read more here.
Keywords: object tracking; reinforcement learning; lightweight deep; deep vision ... See more keywords
An Efficient Lightweight Deep-Learning Approach for Guided Lamb Wave-Based Damage Detection in Composite Structures
Sign Up to like & getrecommendations! Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13085022
Abstract: Woven fabric composite structures are applied in a wide range of industrial applications. Composite structures are vulnerable to damage from working in complex conditions and environments, which threatens the safety of the in-service structure. Damage… read more here.
Keywords: damage; damage detection; lightweight deep; guided lamb ... See more keywords