IoT Malware Classification Based on Lightweight Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3100063
Abstract: Internet of Things (IoT) is hard to deploy adequate security defenses due to the diversity of architectures as well as the limited computing and storage capabilities, which makes it more vulnerable to malware. With the… read more here.
Keywords: lightweight convolutional; based lightweight; malware; malware classification ... See more keywords
An Enhanced Lightweight Convolutional Neural Network for Ship Detection in Maritime Surveillance System
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3187454
Abstract: With the extensive application of artificial intelligence, ship detection from optical satellite remote sensing images using deep learning technology can significantly improve detection accuracy. However, the existing methods usually have complex models and huge computations,… read more here.
Keywords: enhanced lightweight; lightweight convolutional; detection; ship detection ... See more keywords
Lightweight Convolutional Neural Network Model for Human Face Detection in Risk Situations
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3129629
Abstract: In this article, we propose a model of face detection in risk situations to help rescue teams speed up the search of people who might need help. The proposed lightweight convolutional neural network (CNN) architecture… read more here.
Keywords: risk situations; face detection; face; lightweight convolutional ... See more keywords
A Lightweight Convolutional Neural Network Model for Liver Segmentation in Medical Diagnosis
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/7954333
Abstract: Liver segmentation and recognition from computed tomography (CT) images is a warm topic in image processing which is helpful for doctors and practitioners. Currently, many deep learning methods are used for liver segmentation that takes… read more here.
Keywords: network; liver; convolutional neural; liver segmentation ... See more keywords
An artificial intelligent diagnostic system on mobile Android terminals for cholelithiasis by lightweight convolutional neural network
Sign Up to like & getrecommendations! Published in 2019 at "PLoS ONE"
DOI: 10.1371/journal.pone.0221720
Abstract: Artificial intelligence (AI) tools have been applied to diagnose or predict disease risk from medical images with recent data disclosure actions, but few of them are designed for mobile terminals due to the limited computational… read more here.
Keywords: diagnostic system; mobile devices; cholelithiasis; convolutional neural ... See more keywords
Individual dairy cow identification based on lightweight convolutional neural network
Sign Up to like & getrecommendations! Published in 2021 at "PLoS ONE"
DOI: 10.1371/journal.pone.0260510
Abstract: In actual farms, individual livestock identification technology relies on large models with slow recognition speeds, which seriously restricts its practical application. In this study, we use deep learning to recognize the features of individual cows.… read more here.
Keywords: lightweight convolutional; cow identification; convolutional neural; neural network ... See more keywords
Satellite cloud image segmentation based on lightweight convolutional neural network
Sign Up to like & getrecommendations! Published in 2023 at "PLOS ONE"
DOI: 10.1371/journal.pone.0280408
Abstract: More than 50% of the images captured by optical satellites are covered by clouds, which reduces the available information in the images and seriously affects the subsequent applications of satellite images. Therefore, the identification and… read more here.
Keywords: information; network; segmentation; lightweight convolutional ... See more keywords
LightMixer: A novel lightweight convolutional neural network for tomato disease detection
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2023.1166296
Abstract: Tomatoes are among the very important crops grown worldwide. However, tomato diseases can harm the health of tomato plants during growth and reduce tomato yields over large areas. The development of computer vision technology offers… read more here.
Keywords: network; disease; tomato; lightmixer ... See more keywords