Export Citations
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- research-articleAugust 2024
BDS multiple satellite clock offset parallel prediction based on multivariate CNN-LSTM model
AbstractReal-time service (RTS) products are an important guarantee for real-time precise point positioning (RT-PPP), and the RTS outages caused by loss of network connection are a concern. In this paper, a multivariate CNN-LSTM model is proposed for ...
- research-articleSeptember 2024
A novel risk scoring system predicts overall survival of hepatocellular carcinoma using cox proportional hazards machine learning method
- Haibei Xin,
- Yuanfeng Li,
- Quanlei Wang,
- Ren Liu,
- Cunzhen Zhang,
- Haidong Zhang,
- Xian Su,
- Bin Bai,
- Nan Li,
- Minfeng Zhang
Computers in Biology and Medicine (CBIM), Volume 178, Issue Chttps://doi.org/10.1016/j.compbiomed.2024.108663Abstract BackgroundRobust and practical prognosis prediction models for hepatocellular carcinoma (HCC) patients play crucial roles in personalized precision medicine.
Material and methodsWe recruited two independent HCC cohorts (discovery cohort and ...
Highlights
- We construct a novel risk scoring system for the prognosis of HCC patients.
- We include two cohorts with large sample sizes and comprehensive clinical information.
- The immune-related features might be helpful in HCC prognosis ...
- research-articleJuly 2024
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources
ACM Transactions on Intelligent Systems and Technology (TIST), Volume 15, Issue 4Article No.: 80, Pages 1–24https://doi.org/10.1145/3643891Recommendation in settings such as e-recruitment and online dating involves distributing limited opportunities, which differs from recommending practically unlimited goods such as in e-commerce or music recommendation. This setting calls for novel ...
- research-articleJuly 2024
The integral closure of a primary ideal is not always primary
Journal of Symbolic Computation (JOSC), Volume 125, Issue Chttps://doi.org/10.1016/j.jsc.2024.102315AbstractIn 1936, Krull asked if the integral closure of a primary ideal is still primary. Fifty years later, Huneke partially answered this question by giving a primary polynomial ideal whose integral closure is not primary in a regular local ring of ...
- research-articleJuly 2024
Enabling Mobile AI Agent in 6G Era: Architecture and Key Technologies
IEEE Network: The Magazine of Global Internetworking (IEEENETW), Volume 38, Issue 5Pages 66–75https://doi.org/10.1109/MNET.2024.3422309With the advent of mobile networks, we are witnessing an unprecedented shift in the landscape of mobile network services, evolving from traditional voice calls to advanced artificial intelligence (AI) services. This paper delves into the intricacies of ...
-
- posterJuly 2024
A Temporal Knowledge Graph Modeling Method Based on Temporal-RDF for Entity Alignment
ACM-TURC '24: Proceedings of the ACM Turing Award Celebration Conference - China 2024Pages 205–206https://doi.org/10.1145/3674399.3674465To address the problems of data redundancy and non-standardization of temporal information caused by the addition of extra labels in existing temporal knowledge graph (TKG) modeling methods, this paper proposes a TKG model based on Temporal-RDF. We ...
- surveyJune 2024
A Challenge-based Survey of E-recruitment Recommendation Systems
ACM Computing Surveys (CSUR), Volume 56, Issue 10Article No.: 252, Pages 1–33https://doi.org/10.1145/3659942E-recruitment recommendation systems recommend jobs to job seekers and job seekers to recruiters. The recommendations are generated based on the suitability of job seekers for positions and on job seekers’ and recruiters’ preferences. Therefore, e-...
- research-articleJuly 2024
Deep multimodal fusion for 3D mineral prospectivity modeling: Integration of geological models and simulation data via canonical-correlated joint fusion networks
- Yang Zheng,
- Hao Deng,
- Jingjie Wu,
- Shaofeng Xie,
- Xinyue Li,
- Yudong Chen,
- Nan Li,
- Keyan Xiao,
- Norbert Pfeifer,
- Xiancheng Mao
AbstractData-driven three-dimensional (3D) mineral prospectivity modeling (MPM) employs diverse 3D exploration indicators to express geological architecture and associated characteristics in ore systems. The integration of 3D geological models with 3D ...
Highlights- Casting 3D mineral prospectivity modeling (MPM) as a deep multimodal fusion problem.
- Joint fusion network for integrating features of 3D geological models and simulation data.
- Canonical correlation analysis regularization to guide ...
- research-articleJuly 2024
A transformer-guided cross-modality adaptive feature fusion framework for esophageal gross tumor volume segmentation
Computer Methods and Programs in Biomedicine (CBIO), Volume 251, Issue Chttps://doi.org/10.1016/j.cmpb.2024.108216Highlights- In contrast to the prior pure convolution-based arts for 3D esophageal GTV segmentation, we combined the convolutional attention mechanism to develop an effective transformer-guided cross-modality adaptive feature fusion network, ...
Accurate segmentation of esophageal gross tumor volume (GTV) indirectly enhances the efficacy of radiotherapy for patients with esophagus cancer. In this domain, learning-based methods have been employed to fuse cross-...
- research-articleMay 2024
Dependency-position relation graph convolutional network with hierarchical attention mechanism for relation extraction
The Journal of Supercomputing (JSCO), Volume 80, Issue 13Pages 18954–18976https://doi.org/10.1007/s11227-024-06204-8AbstractExisting research extensively incorporates syntactic information, especially dependency trees, to enhance the performance of relation extraction tasks. However, relying solely on dependency information may not fully exploit the rich semantic and ...
- research-articleAugust 2024
GPR imaging characterization of the evolution of water erosion degradation in loess dams
ICSCIS '24: Proceedings of the 2024 International Conference on Smart City and Information SystemPages 497–501https://doi.org/10.1145/3685088.3685176[Purpose] The study of the deformation, cracks and defects of the dams formed by water erosion in the loess area are of great practical importance. Current dam crack and seepage detection methods have limitations such as low efficiency and passivity. [...
- research-articleMay 2024
Two-step Newton's method for deflation-one singular zeros of analytic systems
Journal of Symbolic Computation (JOSC), Volume 123, Issue Chttps://doi.org/10.1016/j.jsc.2023.102278AbstractWe propose a two-step Newton's method for refining an approximation of a singular zero whose deflation process terminates after one step, also known as a deflation-one singularity. Given an isolated singular zero of a square analytic system, our ...
- research-articleMay 2024
Modeling User Viewing Flow using Large Language Models for Article Recommendation
WWW '24: Companion Proceedings of the ACM Web Conference 2024Pages 83–92https://doi.org/10.1145/3589335.3648305This paper proposes the USer ViewING FLow ModEling (SINGLE) method for the article recommendation task, which models the user constant preference and instant interest from user-clicked articles. Specifically, we first employ a user constant viewing flow ...
- research-articleAugust 2024
Remote Sensing Monitoring of Drought in Jilin Province of China Based on NPP-VIIRS Data
ECPDC '24: Proceedings of the 2024 International Academic Conference on Edge Computing, Parallel and Distributed ComputingPages 215–219https://doi.org/10.1145/3677404.3677442In recent years, there have been many studies on remote sensing monitoring of drought using MODIS data. However, with the aging of MODIS sensor, MODIS data may stop updating at any time. The VIIRS sensor carried on the Suomi NPP satellite can replace ...
- ArticleApril 2024
- research-articleJune 2024
Embedding-Based Entity Alignment of Cross-Lingual Temporal Knowledge Graphs
AbstractEntity alignment aims to construct a complete knowledge graph (KG) by matching the same entities in multi-source KGs. Existing researches on entity alignment mainly focuses on static multi-relational data in knowledge graphs. However, the ...
- research-articleMarch 2024
A Novel Fuzzy Neural Network Architecture Search Framework for Defect Recognition With Uncertainties
IEEE Transactions on Fuzzy Systems (TOFS), Volume 32, Issue 5Pages 3274–3285https://doi.org/10.1109/TFUZZ.2024.3373792Defect recognition is an important task in intelligent manufacturing. Due to the subjectivity of human annotation, the collected defect data usually contains a lot of noise and unpredictable uncertainties, which have a great negative influence on defect ...
- research-articleMarch 2024
Diverging assessments: What, Why, and Experiences
- Amin Sakzad,
- David Paul,
- Judithe Sheard,
- Ljiljana Brankovic,
- Matthew P. Skerritt,
- Nan Li,
- Sepehr Minagar,
- Simon,
- William Billingsley
SIGCSE 2024: Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1Pages 1161–1167https://doi.org/10.1145/3626252.3630832In this experience paper, we introduce the concept of 'diverging assessments', process-based assessments designed so that they become unique for each student while all students see a common skeleton. We present experiences with diverging assessments in ...
- research-articleJuly 2024
Self-supervised learning monocular depth estimation from internet photos
Journal of Visual Communication and Image Representation (JVCIR), Volume 99, Issue Chttps://doi.org/10.1016/j.jvcir.2024.104063AbstractMonocular depth estimation (MDE) is a fundamental problem in computer vision. Recently, self-supervised learning (SSL) approaches have attracted significant attention due to the ability to train an MDE network without ground-truth depth data. ...
- research-articleMay 2024
Robust voice activity detection using an auditory-inspired masked modulation encoder based convolutional attention network
AbstractDeep learning has revolutionized voice activity detection (VAD) by offering promising solutions. However, directly applying traditional features, such as raw waveforms and Mel-frequency cepstral coefficients, to deep neural networks often leads ...
Highlights- We simulate the auditory perception process and obtain the modulation encoder.
- AMME is proposed to control the gain of the modulation encoder.
- We develop a VAD approach based on the auditory attention mechanism.
- More robust ...