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- research-articleJuly 2024
Two-stage initial-value iterative physics-informed neural networks for simulating solitary waves of nonlinear wave equations
Journal of Computational Physics (JOCP), Volume 505, Issue CMay 2024https://doi.org/10.1016/j.jcp.2024.112917AbstractWe propose a new two-stage initial-value iterative neural network (IINN) algorithm for solitary wave computations of nonlinear wave equations based on traditional numerical iterative methods and physics-informed neural networks (PINNs). ...
Highlights- A new two-stage IINN algorithm is presented for solitary wave computations of nonlinear wave equations.
- The IINN method does not require any additional data including boundary conditions, apart from the given initial value.
- The ...
- research-articleJuly 2024
Development, integration, and field evaluation of an autonomous Agaricus bisporus picking robot
Computers and Electronics in Agriculture (COEA), Volume 220, Issue CMay 2024https://doi.org/10.1016/j.compag.2024.108871Highlights- Vision system detects the position of overlapping mushrooms.
- Multi-stage flexible end-effector improves picking success and breakage rates.
- Classification of mushroom clusters based on growth density.
- Intelligent picking ...
The disorganized and densely growing Agaricus bisporus remains challenging for robotic harvesting. Aiming at the lower efficiency, lower success rate, and higher breakage rate in the robotic harvesting process, we propose a fully integrated, ...
- research-articleJuly 2024
PSA-GNN: An augmented GNN framework with priori subgraph knowledge
AbstractGraph neural networks have become the primary graph representation learning paradigm, in which nodes update their embeddings by aggregating messages from their neighbors iteratively. However, current message passing based GNNs exploit the higher-...
- research-articleApril 2024
Framework of rod-like crops sorting based on multi-object oriented detection and analysis
Computers and Electronics in Agriculture (COEA), Volume 216, Issue CJan 2024https://doi.org/10.1016/j.compag.2023.108516AbstractQuality grading and sorting are crucial post-harvest procedures to increase the market value of crops. To reduce the over-dependence on manual work for these tasks, automated sorting methods have been studied. However, we find existing research ...
Highlights- Framework for rod-like crops sorting with dataset, software, algorithms and machine.
- Oriented detection model detects arbitrary-pose targets by oriented bounding boxes.
- Multi-label recognition model parses the grade and posture of ...
- research-articleMarch 2024
Calculation method of carbon flow distribution in load-intensive regional energy centers
Journal of Computational Methods in Sciences and Engineering (JOCMSE), Volume 24, Issue 12024, Pages 3–18https://doi.org/10.3233/JCM-247175With the development of the economy, people’s demand for green energy has increased significantly. However, the traditional single fossil energy supply system cannot meet the needs of low-carbon. Therefore, this study employs energy hub to establish a ...
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- research-articleNovember 2023
Automatic Target Description File Generation
Journal of Computer Science and Technology (JCST), Volume 38, Issue 6Dec 2023, Pages 1339–1355https://doi.org/10.1007/s11390-022-1919-xAbstractAgile hardware design is gaining increasing momentum and bringing new chips in larger quantities to the market faster. However, it also takes new challenges for compiler developers to retarget existing compilers to these new chips in shorter time ...
- research-articleNovember 2023
Short-term urban rail transit passenger flow forecasting based on fusion model methods using univariate time series
Applied Soft Computing (APSC), Volume 147, Issue CNov 2023https://doi.org/10.1016/j.asoc.2023.110740AbstractGlobal urbanization has made the urban rail transit system an essential service for a growing population. To help urban rail transit stations design optimal operational plans, previous studies have devoted extensive efforts to passenger flow ...
Highlights- Meta-learning algorithms in machine learning to facilitate research in related fields.
- Fusion model strategy to improve forecasting performance accuracy and efficiency.
- Model selection techniques based on the characteristic nature ...
- research-articleOctober 2023
Pre-Training Across Different Cities for Next POI Recommendation
ACM Transactions on the Web (TWEB), Volume 17, Issue 4Article No.: 31, Pages 1–27https://doi.org/10.1145/3605554The Point-of-Interest (POI) transition behaviors could hold absolute sparsity and relative sparsity very differently for different cities. Hence, it is intuitive to transfer knowledge across cities to alleviate those data sparsity and imbalance problems ...
- research-articleOctober 2023
The existence spectrum for regular sparse anti-magic squares
AbstractMagic squares and anti-magic squares are the important research objects in combinatorics, and they are also well used in constructing graph labelings. Suppose that n and d are two positive integers with d < n. An n × n array A based on X = { 0 , ...
- research-articleSeptember 2023
Physics-informed neural networks with adaptive localized artificial viscosity
- Emilio Jose Rocha Coutinho,
- Marcelo Dall'Aqua,
- Levi McClenny,
- Ming Zhong,
- Ulisses Braga-Neto,
- Eduardo Gildin
Journal of Computational Physics (JOCP), Volume 489, Issue CSep 2023https://doi.org/10.1016/j.jcp.2023.112265AbstractPhysics-informed Neural Network (PINN) is a promising tool that has been applied in a variety of physical phenomena described by partial differential equations (PDE). However, it has been observed that PINNs are difficult to train in ...
Highlights- Methods to add adaptive artificial viscosity to train PINNs to solve hyperbolic PDEs with shocks.
- research-articleAugust 2023
Mimicking the thinking process for emotion recognition in conversation with prompts and paraphrasing
IJCAI '23: Proceedings of the Thirty-Second International Joint Conference on Artificial IntelligenceAugust 2023, Article No.: 699, Pages 6299–6307https://doi.org/10.24963/ijcai.2023/699Emotion recognition in conversation, which aims to predict the emotion for all utterances, has attracted considerable research attention in recent years. It is a challenging task since the recognition of the emotion in one utterance involves many complex ...
- research-articleAugust 2023
Citrus pose estimation from an RGB image for automated harvesting
Computers and Electronics in Agriculture (COEA), Volume 211, Issue CAug 2023https://doi.org/10.1016/j.compag.2023.108022Highlights- A method for estimating citrus 3D pose via a single RGB image is developed.
- An image annotation tool to label the fruit 3D pose in a 2D image is designed.
- The fruit navel point is detected and the direction of fruit rotation is ...
Automated fruit harvesting is promising research in the development of agricultural modernization. However, the complex and non-structural orchard environment is extremely challenging. In order to meet the needs of different end-effectors and to ...
- research-articleMay 2023
Towards more effective encoders in pre-training for sequential recommendation
World Wide Web (WWWJ), Volume 26, Issue 5Sep 2023, Pages 2801–2832https://doi.org/10.1007/s11280-023-01163-1AbstractPre-training emerges as a new learning paradigm in natural language processing and computer vision. It has also been introduced into sequential recommendation in several seminal studies for alleviating data sparsity issue. However, existing ...
- research-articleMay 2023
Efficient text-based evolution algorithm to hard-label adversarial attacks on text
Journal of King Saud University - Computer and Information Sciences (JKSUCIS), Volume 35, Issue 5May 2023https://doi.org/10.1016/j.jksuci.2023.03.017AbstractDeep neural networks that play a pivotal role in fields such as images, text, and audio are vulnerable to adversarial attacks. In current textual adversarial attacks, the vast majority are configured with a black-box soft-label which ...
- research-articleMay 2023
Reliable Keyword Query Interpretation on Summary Graphs
IEEE Transactions on Knowledge and Data Engineering (IEEECS_TKDE), Volume 35, Issue 5May 2023, Pages 5187–5202https://doi.org/10.1109/TKDE.2022.3144001The semantic gap between keyword queries and search intents behind them motivates intensive studies on keyword query interpretation, which aims to interpret a keyword query to structured queries (a.k.a. patterns) representing most possibly relevant search ...
- research-articleApril 2023
Unsupervised Event Chain Mining from Multiple Documents
WWW '23: Proceedings of the ACM Web Conference 2023April 2023, Pages 1948–1959https://doi.org/10.1145/3543507.3583295Massive and fast-evolving news articles keep emerging on the web. To effectively summarize and provide concise insights into real-world events, we propose a new event knowledge extraction task Event Chain Mining in this paper. Given multiple documents ...
- research-articleApril 2023
Query-efficient model extraction for text classification model in a hard label setting
Journal of King Saud University - Computer and Information Sciences (JKSUCIS), Volume 35, Issue 4Apr 2023, Pages 10–20https://doi.org/10.1016/j.jksuci.2023.02.019AbstractDesigning a query-efficient model extraction strategy to steal models from cloud-based platforms with black-box constraints remains a challenge, especially for language models. In a more realistic setting, a lack of information about ...
- research-articleMarch 2023
Slowing Down the Aging of Learning-Based Malware Detectors With API Knowledge
IEEE Transactions on Dependable and Secure Computing (TDSC), Volume 20, Issue 2March-April 2023, Pages 902–916https://doi.org/10.1109/TDSC.2022.3144697Learning-based malware detectors are widely used in practice to safeguard real-world computers. One major challenge is known as model aging, where the effectiveness of these models drops drastically as malware variants keep evolving. To tackle model aging,...
- research-articleMarch 2023
Vessel scheduling model with resource restriction considerations for restricted channel in ports
Computers and Industrial Engineering (CINE), Volume 177, Issue CMar 2023https://doi.org/10.1016/j.cie.2023.109034Highlights- Restricted channel scheduling model with resource restriction consideration.
- The model can be changed according to the actual needs of different ports.
- The change of the number of tugs affects the waiting time.
- The model and ...
Restricted channels differ from ordinary channels because of their external environmental factors; they have many restrictions on vessel scheduling. In particular, for ports with restricted channels and harbor basins, these restrictions affect ...
- research-articleDecember 2023
A comprehensive evaluation method of heat source tower heat pump applicability considering regional climate differences
Journal of Computational Methods in Sciences and Engineering (JOCMSE), Volume 23, Issue 62023, Pages 2879–2892https://doi.org/10.3233/JCM-226957The heat source tower heat pump system is widely used in large and medium-sized air conditioning systems due to its good energy-saving advantages. However, there is no relatively reasonable evaluation system for the applicability of heat source tower ...