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- review-articleAugust 2024
Deep learning in cropland field identification: A review
- Fan Xu,
- Xiaochuang Yao,
- Kangxin Zhang,
- Hao Yang,
- Quanlong Feng,
- Ying Li,
- Shuai Yan,
- Bingbo Gao,
- Shaoshuai Li,
- Jianyu Yang,
- Chao Zhang,
- Yahui Lv,
- Dehai Zhu,
- Sijing Ye
Computers and Electronics in Agriculture (COEA), Volume 222, Issue CJul 2024https://doi.org/10.1016/j.compag.2024.109042Highlights- A bibliometric and content analysis was conducted to comprehensively review and analyze deep learning research in cropland field identification.
- The paper discusses the challenges of deep learning-based research on cropland field ...
The cropland field (CF) is the basic unit of agricultural production and a key element of precision agriculture. High-precision delineations of CF boundaries provide a reliable data foundation for field labor and mechanized operations. In recent ...
- research-articleJuly 2024
Unsupervised low-dose CT denoising using bidirectional contrastive network
Computer Methods and Programs in Biomedicine (CBIO), Volume 251, Issue CJun 2024https://doi.org/10.1016/j.cmpb.2024.108206Abstract Background and Objective:Low-dose computed tomography (LDCT) scans significantly reduce radiation exposure, but introduce higher levels of noise and artifacts that compromise image quality and diagnostic accuracy. Supervised learning methods ...
Highlights- A contrastive learning based network for unsupervised low-dose CT denoising.
- Align features between different image domains using contrastive learning.
- Use of a bidirectional network model for domain-specific latent space ...
- research-articleMay 2024
Multization: Multi-Modal Summarization Enhanced by Multi-Contextually Relevant and Irrelevant Attention Alignment
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 23, Issue 5Article No.: 69, Pages 1–29https://doi.org/10.1145/3651983This article focuses on the task of Multi-Modal Summarization with Multi-Modal Output for China JD.COM e-commerce product description containing both source text and source images. In the context learning of multi-modal (text and image) input, there ...
- research-articleApril 2024
Optimal Pricing Strategy in an Unreliable M/M/1 Retrial Queue with Delayed Repair and Breakdown Deterioration
Methodology and Computing in Applied Probability (MCAP), Volume 26, Issue 2Jun 2024https://doi.org/10.1007/s11009-024-10080-3AbstractThis paper focuses on an unreliable M/M/1 retrial queue with delayed repair, in which a novel breakdown mechanism is considered, i.e., a normal breakdown may deteriorate into a major breakdown. Arriving customers are not provided with the system’s ...
- research-articleJune 2024
3D meta-classification: A meta-learning approach for selecting 3D point-cloud classification algorithm
Information Sciences: an International Journal (ISCI), Volume 662, Issue CMar 2024https://doi.org/10.1016/j.ins.2024.120272AbstractAlgorithm selection technology, aimed at choosing the most suitable algorithm for a given machine learning task, has achieved significant success in the domain of 2D vision. However, few studies have explored its application to the 3D point cloud ...
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- research-articleFebruary 2024
Reliability and Optimization for k-out-of-n: G Mixed Standby Retrial System with Dependency and J-Vacation
Methodology and Computing in Applied Probability (MCAP), Volume 26, Issue 1Mar 2024https://doi.org/10.1007/s11009-024-10078-xAbstractBased on the design and potential application of wind-solar storage intelligent power generation systems in engineering practice, this paper develops a novel reliability model of k-out-of-n: G mixed standby retrial system with failure dependency ...
- research-articleApril 2024
Multi-modal anchor adaptation learning for multi-modal summarization
AbstractIn this paper, we focus on analyzing the relationship between the input of source text and source image, and then through the integration and generalization of the multi-modal information (e.g., texts and images), outputs the multi-modal ...
- research-articleMarch 2024
Hierarchical graph attention networks for multi-modal rumor detection on social media
AbstractThe wide spread of rumors across online microblogs has caused a series of adverse impacts on our daily lives. Traditional multi-modal rumor detection models ignore the investigation of deep fusion of different granularity within inter-modality ...
- research-articleJanuary 2024
Pre-training and ensembling based Alzheimer’s disease detection
Technology and Health Care (TAHC), Volume 32, Issue 12024, Pages 379–395https://doi.org/10.3233/THC-230571BACKGROUND:Alzheimer’s disease (AD) endangers the physical and mental health of the elderly, constituting one of the most crucial social challenges. Due to lack of effective AD intervention drugs, it is very important to diagnose AD in the early stage,...
- research-articleNovember 2023
Coordinating Multiple Intelligent Reflecting Surfaces Without Channel Information
IEEE Transactions on Signal Processing (TSP), Volume 722024, Pages 31–46https://doi.org/10.1109/TSP.2023.3334818Conventional beamforming methods for intelligent reflecting surfaces (IRSs) or reconfigurable intelligent surfaces (RISs) typically entail the full channel state information (CSI). However, the computational cost of channel acquisition soars exponentially ...
- research-articleNovember 2023
Running ahead of evolution—AI-based simulation for predicting future high-risk SARS-CoV-2 variants
- Jie Chen,
- Zhiwei Nie,
- Yu Wang,
- Kai Wang,
- Fan Xu,
- Zhiheng Hu,
- Bing Zheng,
- Zhennan Wang,
- Guoli Song,
- Jingyi Zhang,
- Jie Fu,
- Xiansong Huang,
- Zhongqi Wang,
- Zhixiang Ren,
- Qiankun Wang,
- Daixi Li,
- Dongqing Wei,
- Bin Zhou,
- Chao Yang,
- Yonghong Tian,
- Edmond Chow
International Journal of High Performance Computing Applications (SAGE-HPCA), Volume 37, Issue 6Nov 2023, Pages 650–665https://doi.org/10.1177/10943420231188077The never-ending emergence of SARS-CoV-2 variations of concern (VOCs) has challenged the whole world for pandemic control. In order to develop effective drugs and vaccines, one needs to efficiently simulate SARS-CoV-2 spike receptor-binding domain (RBD) ...
- ArticleOctober 2023
Creative Destruction: Can Language Models Interpret Oxymorons?
Natural Language Processing and Chinese ComputingOct 2023, Pages 645–656https://doi.org/10.1007/978-3-031-44693-1_50AbstractOxymoron is a figurative language which combines seemingly contradictory words in a short phrase. It is used to create an impression, enhance a concept or entertain the readers. In this work, we propose a novel task named oxymoron interpretation, ...
- ArticleOctober 2023
IIB-MIL: Integrated Instance-Level and Bag-Level Multiple Instances Learning with Label Disambiguation for Pathological Image Analysis
- Qin Ren,
- Yu Zhao,
- Bing He,
- Bingzhe Wu,
- Sijie Mai,
- Fan Xu,
- Yueshan Huang,
- Yonghong He,
- Junzhou Huang,
- Jianhua Yao
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023Oct 2023, Pages 560–569https://doi.org/10.1007/978-3-031-43987-2_54AbstractDigital pathology plays a pivotal role in the diagnosis and interpretation of diseases and has drawn increasing attention in modern healthcare. Due to the huge gigapixel-level size and diverse nature of whole-slide images (WSIs), analyzing them ...
- research-articleDecember 2023
Application of Network Data Transmission Module Based on Advance Planning in Aerospace Measurement and Control Simulation Field
ICCSIE '23: Proceedings of the 8th International Conference on Cyber Security and Information EngineeringSeptember 2023, Pages 217–221https://doi.org/10.1145/3617184.3630135Traditional simulation software used in most spacecraft ground test systems usually adopts a fixed frame frequency to simulate the data sending of actual objects. In recent years, with the continuous development of China's aerospace technology, the ...
- research-articleDecember 2022
Towards convergence rate analysis of random forests for classification
Artificial Intelligence (ARTI), Volume 313, Issue CDec 2022https://doi.org/10.1016/j.artint.2022.103788AbstractRandom forests have been one of the successful ensemble algorithms in machine learning, and the basic idea is to construct a large number of random trees individually and make predictions based on an average of their predictions. The ...
- research-articleSeptember 2022
Distinctive acoustic changes in speech in Parkinson's disease
Computer Speech and Language (CSPL), Volume 75, Issue CSep 2022https://doi.org/10.1016/j.csl.2022.101384AbstractDysarthria occurs in the early stage of Parkinson's disease (PD), and the pronunciation of speech sounds is significantly different between PD patients and healthy subjects. However, the formant frequencies of different syllables as ...
- research-articleAugust 2022
Constructing a health indicator for bearing degradation assessment via an unsupervised and enhanced stacked autoencoder
Advanced Engineering Informatics (ADEI), Volume 53, Issue CAug 2022https://doi.org/10.1016/j.aei.2022.101708AbstractTo eliminate the noise from the extracted health indicator (HI) and reduce dependence on manual experience including knowledge for selecting the appropriate time–frequency domain indicators and conversions for data pre-processing, ...
- research-articleJuly 2022
BERT gated multi-window attention network for relation extraction
Neurocomputing (NEUROC), Volume 492, Issue CJul 2022, Pages 516–529https://doi.org/10.1016/j.neucom.2021.12.044AbstractEntity relation extraction aims to identify the semantic relation between entity pairs in a sentence and is an important technical support for downstream tasks such as question answering systems and semantic searching. Existing ...
- research-articleMarch 2022
Changes in facial expressions in patients with Parkinson's disease during the phonation test and their correlation with disease severity
- Liqiong YANG,
- Xiangling CHEN,
- Quanhao GUO,
- Jing ZHANG,
- Man LUO,
- Xiaqing CHEN,
- Yanxia WEN,
- Xianwei ZOU,
- Fan XU
Computer Speech and Language (CSPL), Volume 72, Issue CMar 2022https://doi.org/10.1016/j.csl.2021.101286Highlights- This study found that the facial expressions of neutral feelings, happiness, surprise, valence and arousal were significantly lower in patients with PD, ...
Parkinson's disease (PD) is a serious neurodegenerative disease affecting more than one million people globally. A mask-like face is an important early motor symptom of PD; it develops gradually and is asymptomatic. ...
- research-articleJanuary 2022
Research on multi-feature fusion entity relation extraction based on deep learning
International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC), Volume 39, Issue 1-22022, Pages 93–104https://doi.org/10.1504/ijahuc.2022.120949Entity relation extraction aims to identify the semantic relation category between the target entity pairs in the original text and is one of the core technologies of tasks such as automatic document summarisation, automatic question answering system, and ...