Current adversarial attacks for multi-class classifiers choose the target class for a given input naively, based on the classifier's confidence levels for various target classes. We present a novel adversarial tar...
Endoscopic imaging plays a pivotal role in diag-nosing and managing gastrointestinal diseases, where precise segmentation of images is essential for accurate disease detection and treatment. Traditional image segmenta...
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Recently, it has been discovered that incorporating structure information (e.g., dependency trees) can improve the performance of aspect-based sentiment analysis (ABSA). The structure information is often obtained fro...
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System logs are vital for diagnosing system failures, with log parsing converting unstructured logs into structured data. Existing methods fall into two categories: non-deep-learning approaches cluster logs based on s...
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Many multilingual communities, including numerous in Africa, frequently engage in code-switching during conversations. This behaviour stresses the need for natural language processing technologies adept at processing ...
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Vector stores represent a crucial building block for Retrieval-Augmented Generation (RAG), efficiently storing and retrieving high-dimensional embeddings to ensure relevance and accuracy for generative AI applications...
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After decades of theoretical studies,the rich phase states of active matter and cluster kinetic processes are still of research *** to efficiently calculate the dynamical processes under their complex conditions becom...
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After decades of theoretical studies,the rich phase states of active matter and cluster kinetic processes are still of research *** to efficiently calculate the dynamical processes under their complex conditions becomes an open ***,machine learning methods have been proposed to predict the degree of coherence of active matter *** this way,the phase transition process of the system is quantified and *** this paper,we use graph network as a powerful model to determine the evolution of active matter with variable individual velocities solely based on the initial position and state of the *** graph network accurately predicts the order parameters of the system in different scale models with different individual velocities,noise and density to effectively evaluate the effect of diverse *** with the classical physical deduction method,we demonstrate that graph network prediction is excellent,which could save significantly computing resources and *** addition to active matter,our method can be applied widely to other large-scale physical systems.
Real-Time Strategy (RTS) games have attracted millions of players due to their characteristics of diverse scenes and flexible decision-making mechanisms. However, the mechanisms, contents, and operations of RTS games ...
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Single-cell RNA sequencing(scRNA-seq)technology measures the expression of thousands of genes at the cellular *** single-cell transcriptome allows the identification of heterogeneous cell groups,cellular-level regulat...
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Single-cell RNA sequencing(scRNA-seq)technology measures the expression of thousands of genes at the cellular *** single-cell transcriptome allows the identification of heterogeneous cell groups,cellular-level regulations,and the trajectory of cell *** important aspect in the analyses of scRNA-seq data is the clustering of cells,which is hampered by issues,such as high dimensionality,cell type imbalance,redundancy,and *** cells of each type are functionally consistent,incorporating biological relations among genes may improve the clustering *** light of this,we have developed a deep-embedded clustering method,*** method combines a graph regularization based on the pre-existing gene network and a feature selector based on the$l$2,1-norm regularization,along with a reconstruction loss,to generate a discriminatory and informative *** the gene interaction network bolsters the clustering performance and aids in selecting functionally coherent genes,consequently enriching the clustering *** experiments have shown that G3DC offers high clustering accuracy with regard to agreement with true cell types,outperforming other leading single-cell clustering *** addition,G3DC selects biologically relevant genes that contribute to the clustering,providing insight into biological functionality that differentiates cell groups.
Video streaming is a common service utilized in today's times, ranging from popular platforms such as Netflix, Disney, and Amazon Prime to live video calls facilitated by WhatsApp and FaceTime. Given the growing c...
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