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Found 27 papers, 2 papers with code
Causality Extraction from Nuclear Licensee Event Reports Using a Hybrid Framework
Industry-wide nuclear power plant operating experience is a critical source of raw data for performing parameter estimations in reliability and risk models.
iSeg: Interactive 3D Segmentation via Interactive Attention
We present iSeg, a new interactive technique for segmenting 3D shapes.
FedClust: Optimizing Federated Learning on Non-IID Data through Weight-Driven Client Clustering
Clustered federated learning (CFL) addresses this challenge by grouping clients based on the similarity of their data distributions.
Opara: Exploiting Operator Parallelism for Expediting DNN Inference on GPUs
GPUs have become the defacto hardware devices to accelerate Deep Neural Network (DNN) inference in deep learning(DL) frameworks.
Review of Machine Learning Methods for Additive Manufacturing of Functionally Graded Materials
Additive manufacturing has revolutionized the manufacturing of complex parts by enabling direct material joining and offers several advantages such as cost-effective manufacturing of complex parts, reducing manufacturing waste, and opening new possibilities for manufacturing automation.
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer
To alleviate the local receptive issue of GCN, Transformers have been exploited to capture the long range dependences of nodes for graph data representation and learning.
CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation
Remarkably, our model reduces by 33. 2\%, and 15. 5\% the number of clicks required to surpass an IoU of 0. 95 in the previous state-of-the-art approach on the Berkeley and DAVIS sets, respectively.
Ranked #1 on
Interactive Segmentation
on DAVIS
An Efficient Instance Segmentation Approach for Extracting Fission Gas Bubbles on U-10Zr Annular Fuel
In the advanced annular U-10Zr fuel, the lanthanides present as fission gas bubbles.
Soft Sensing Regression Model: from Sensor to Wafer Metrology Forecasting
The semiconductor industry is one of the most technology-evolving and capital-intensive market sectors.
Advanced Characterization-Informed Framework and Quantitative Insight to Irradiated Annular U-10Zr Metallic Fuels
Conclusive findings were obtained and allowed for evaluation of the lanthanide transportation through connected bubbles based on approximately 67, 000 fission gas bubbles of the two advanced samples.
Backward bifurcation, basic reinfection number and robustness of a SEIRE epidemic model with reinfection
That is, the system has backward bifurcation and the disease cannot be eradicated.
Stylized Knowledge-Grounded Dialogue Generation via Disentangled Template Rewriting
(2) How to cohere with context and preserve the knowledge when generating a stylized response.
Backward bifurcation and saddle-node bifurcation in virus-immune dynamics
The values of backward bifurcation point and saddle node bifurcation point are the elite control threshold and post-treatment control threshold respectively.
Multimodal Dialogue Response Generation
In such a low-resource setting, we devise a novel conversational agent, Divter, in order to isolate parameters that depend on multimodal dialogues from the entire generation model.
Adversarial Examples Generation for Reducing Implicit Gender Bias in Pre-trained Models
The metric will be used to guide the generation of examples from Pre-trained models.
Understanding Fission Gas Bubble Distribution, Lanthanide Transportation, and Thermal Conductivity Degradation in Neutron-irradiated α-U Using Machine Learning
UZr based metallic nuclear fuel is the leading candidate for next-generation sodium-cooled fast reactors in the United States.
Completeness of the induced cotorsion pairs in functor categories
This paper focuses on a question raised by Holm and J{\o}rgensen, who asked if the induced cotorsion pairs $(\Phi({\sf X}),\Phi({\sf X})^{\perp})$ and $(^{\perp}\Psi({\sf Y}),\Psi({\sf Y}))$ in $\mathrm{Rep}(Q,{\sf{A}})$ -- the category of all $\sf{A}$-valued representations of a quiver $Q$ -- are complete whenever $(\sf X,\sf Y)$ is a complete cotorsion pair in an abelian category $\sf{A}$ satisfying some mild conditions.
Representation Theory K-Theory and Homology
Breast Anatomy Enriched Tumor Saliency Estimation
Then we refine the layers by integrating a non-semantic breast anatomy model to solve the problems of incomplete mammary layers.
Tumor Saliency Estimation for Breast Ultrasound Images via Breast Anatomy Modeling
First, we model breast anatomy and decompose breast ultrasound image into layers using Neutro-Connectedness; then utilize the layers to generate the foreground and background maps; and finally propose a novel objective function to estimate the tumor saliency by integrating the foreground map, background map, adaptive center bias, and region-based correlation cues.
A Hybrid Framework for Tumor Saliency Estimation
Automatic tumor segmentation of breast ultrasound (BUS) image is quite challenging due to the complicated anatomic structure of breast and poor image quality.
BUSIS: A Benchmark for Breast Ultrasound Image Segmentation
Breast ultrasound (BUS) image segmentation is challenging and critical for BUS Comput-er-Aided Diagnosis (CAD) systems.
Automatic Breast Ultrasound Image Segmentation: A Survey
Breast cancer is one of the leading causes of cancer death among women worldwide.
Neutro-Connectedness Cut
Interactive image segmentation is a challenging task and receives increasing attention recently; however, two major drawbacks exist in interactive segmentation approaches.
An algorithm for Left Atrial Thrombi detection using Transesophageal Echocardiography
And the dynamic features are formed by using the information of its neighbor frames in the sequence.
Individuation, Identification and Object Discovery
Humans are typically able to infer how many objects their environment contains and to recognize when the same object is encountered twice.
A rational model of preference learning and choice prediction by children
Young children demonstrate the ability to make inferences about the preferences of other agents based on their choices.
An ideal observer model of infant object perception
Before the age of 4 months, infants make inductive inferences about the motions of physical objects.
