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- research-articleJune 2024
A recommendation model for college majors based on deep learning and clustering algorithms
Information Services and Use (INSU), Volume 44, Issue 22024, Pages 165–175https://doi.org/10.3233/ISU-230201Many colleges in China have adopted the policy of recruiting students by academic subject categories in order to optimize the talent training mode. To solve the problems in major selection after enrollment, this paper has designed an intelligent ...
- research-articleJanuary 2023
Security demonstration for the quantum noise-based physical layer using variable keys
International Journal of Sensor Networks (IJSNET), Volume 41, Issue 12023, Pages 60–66https://doi.org/10.1504/ijsnet.2023.128497With the continued advancement of science and technology, a large amount of important information is carried by optical fibre networks. Therefore, it is imperative to use secure transmission strategies to protect important information. The Y-00 cipher ...
- research-articleOctober 2022
DAS-Net: A lung nodule segmentation method based on adaptive dual-branch attention and shadow mapping
Applied Intelligence (KLU-APIN), Volume 52, Issue 13Oct 2022, Pages 15617–15631https://doi.org/10.1007/s10489-021-03038-2AbstractQuantitative analysis of pulmonary nodules is necessary for the early diagnosis and treatment of lung cancer, improving the possibility of patient survival. Although deep convolutional neural networks (DCNNs) have been widely used in the ...
- research-articleSeptember 2022
Static–Dynamic coordinated Transformer for Tumor Longitudinal Growth Prediction
- Hexi Wang,
- Ning Xiao,
- Jina Zhang,
- Wanting Yang,
- Yulan Ma,
- Yao Suo,
- Juanjuan Zhao,
- Yan Qiang,
- Jianhong Lian,
- Qianqian Yang
Computers in Biology and Medicine (CBIM), Volume 148, Issue CSep 2022https://doi.org/10.1016/j.compbiomed.2022.105922AbstractAccurate prediction of the tumor’s future imaging features can provide its complete growth evolution and more detailed clinical parameters. The existing longitudinal models tend to lose detailed growth information and make it difficult ...
Highlights- We apply the improved Transformer approach to longitudinal tumor growth studies, using its excellent remote modeling ability to explore tumor growth trends ...
- research-articleJuly 2022
Semantic consistency generative adversarial network for cross-modality domain adaptation in ultrasound thyroid nodule classification
Applied Intelligence (KLU-APIN), Volume 52, Issue 9Jul 2022, Pages 10369–10383https://doi.org/10.1007/s10489-021-03025-7AbstractDeep convolutional networks have been widely used for various medical image processing tasks. However, the performance of existing learning-based networks is still limited due to the lack of large training datasets. When a general deep model is ...
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- ArticleApril 2022
A Localization System for GPS-free Navigation Scenarios
- Jiazhi Ni,
- Xin Zhang,
- Beihong Jin,
- Fusang Zhang,
- Xin Li,
- Qiang Huang,
- Pengsen Wang,
- Xiang Li,
- Ning Xiao,
- Youchen Wang,
- Chang Liu
Database Systems for Advanced ApplicationsApr 2022, Pages 268–273https://doi.org/10.1007/978-3-031-00123-9_22AbstractLocalization is crucial to mobile navigation, which mainly depends on satellite navigation systems such as GPS. Unfortunately, sometimes GPS localization might be missing due to hardware failure or the urban canyon effect. Network localization is ...
- ArticleOctober 2021
DPACN: Dual Prior-Guided Astrous Convolutional Network for Adhesive Pulmonary Nodules Segmentation on CT Sequence
Pattern Recognition and Computer VisionOct 2021, Pages 560–569https://doi.org/10.1007/978-3-030-88010-1_47AbstractThe segmentation of malignant nodules is crucial to pre-operative planning, while it adhere to lung tissue extremely, which leads to false positive too high. Considering inaccurate segmentation of adhesive pulmonary nodules, Dual prior-guided ...
- research-articleJanuary 2021
An algorithm of NLOS error identification and mitigation in mobile location estimation
International Journal of Security and Networks (IJSN), Volume 16, Issue 22021, Pages 98–104https://doi.org/10.1504/ijsn.2021.116773For the purpose of improving positioning accuracy of mobile station in the complex environment, a real-time non-line-of-sight (NLOS) identification and elimination method is proposed based on the characteristics of NLOS error. In this algorithm, Kalman ...
- research-articleJuly 2020
Towards Anti-interference WiFi-based Activity Recognition System Using Interference-Independent Phase Component
IEEE INFOCOM 2020 - IEEE Conference on Computer CommunicationsJul 2020, Pages 576–585https://doi.org/10.1109/INFOCOM41043.2020.9155536Human activity recognition (HAR) has become increasingly essential due to its potential to support a broad array of applications, e.g., elder care, and VR games. Recently, some pioneer WiFi-based HAR systems have been proposed due to its privacy-friendly ...
- research-articleMay 2020
Unsupervised Flight Phase Recognition with Flight Data Clustering based on GMM
2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)May 2020, Pages 1–6https://doi.org/10.1109/I2MTC43012.2020.9128596Currently, with the rapid development of the aviation industry, researchers are paying more attention to the improvement of aviation safety. Aviation safety mainly includes flight safety, aviation ground safety, and air defense safety. In terms of flight ...
- demonstrationOctober 2019
DF-Mose: Device-Free Motion Sensing with Wireless Backscattering
MobiCom '19: The 25th Annual International Conference on Mobile Computing and NetworkingAugust 2019, Article No.: 72, Pages 1–3https://doi.org/10.1145/3300061.3343374We propose a novel motion sensing/recognition system, called DF-Mose, which marries low-power wireless backscattering and device-free sensing in one clean sheet. DF-Mose is an accurate, interference tolerable motion-recognition system that counts ...
- research-articleSeptember 2019
MilliBack: Real-Time Plug-n-Play Millimeter Level Tracking Using Wireless Backscattering
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Volume 3, Issue 3Article No.: 112, Pages 1–23https://doi.org/10.1145/3351270Real-time handwriting tracking is important for many emerging applications such as Artificial Intelligence assisted education and healthcare. Existing movement tracking systems, including those based on vision, ultrasound or wireless technologies, fail ...
- research-articleJuly 2018
Word-Fi: Accurate Handwrite System Empowered by Wireless Backscattering and Machine Learning
IEEE Network: The Magazine of Global Internetworking (IEEENETW), Volume 32, Issue 4July/August 2018, Pages 47–53https://doi.org/10.1109/MNET.2018.1700441Word-Fi is a handwriting input system, driven by wireless backscattering technology and machine learning methods. It could effectively mitigate the surrounding noise and extract the weak signals incurred by tiny writing gestures accurately. Leveraging our ...
- research-articleApril 2018
Motion-Fi: Recognizing and Counting Repetitive Motions with Passive Wireless Backscattering
IEEE INFOCOM 2018 - IEEE Conference on Computer CommunicationsApr 2018, Pages 2024–2032https://doi.org/10.1109/INFOCOM.2018.8485933Recently several ground-breaking RF-based motion-recognition systems were proposed to detect and/or recognize macro/micro human movements. These systems often suffer from various interferences caused by multiple-users moving simultaneously, resulting in ...
- ArticleDecember 2008
Fractal Compression Coding Based on Fractal Dimension Feature Blocks
ISISE '08: Proceedings of the 2008 International Symposium on Information Science and Engieering - Volume 01December 2008, Pages 223–226https://doi.org/10.1109/ISISE.2008.258The paper associates fractal dimension with the image disorder degree, which is introduced into pre-classification for fractal compression coding process together with the concept of quartered-tree coding, then a fractal compression coding approach ...
- ArticleDecember 2007
DDoS attack detection algorithms based on entropy computing
ICICS'07: Proceedings of the 9th international conference on Information and communications securityDecember 2007, Pages 452–466Distributed Denial of Service (DDoS) attack poses a severe threat to the Internet. It is difficult to find the exact signature of attacking. Moreover, it is hard to distinguish the difference of an unusual high volume of traffic which is caused by the ...
- ArticleDecember 2007
DDoS Attack Detection Algorithms Based on Entropy Computing
Information and Communications SecurityDec 2007, Pages 452–466https://doi.org/10.1007/978-3-540-77048-0_35AbstractDistributed Denial of Service (DDoS) attack poses a severe threat to the Internet. It is difficult to find the exact signature of attacking. Moreover, it is hard to distinguish the difference of an unusual high volume of traffic which is caused by ...
- ArticleMarch 2023
Geographic Probabilistic Routing Protocol for Wireless Mesh Network
Advanced Parallel Processing TechnologiesNov 2007, Pages 477–486https://doi.org/10.1007/978-3-540-76837-1_52AbstractThis paper presents GPR (Geographic Probabilistic Routing protocol), an opportunistic routing protocol worked between mesh routers in WMNs (Wireless Mesh Networks). In GPR, nodes detect the link condition by probe packets. In order to send a ...
- ArticleNovember 2007
Geographic probabilistic routing protocol for wireless mesh network
APPT'07: Proceedings of the 7th international conference on Advanced parallel processing technologiesNovember 2007, Pages 477–486This paper presents GPR (Geographic Probabilistic Routing protocol), an opportunistic routing protocol worked between mesh routers in WMNs (Wireless Mesh Networks). In GPR, nodes detect the link condition by probe packets. In order to send a packet, the ...
- doctoral_thesisJanuary 1993
Capacity planning and topology optimization of corporate communication networks
Information technology has increasingly been utilized to improve the operating efficiency of many corporations. Planning of corporate communication networks is a difficult task due to a wide spectrum of alternatives and a large number of scenarios ...