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Accurate polyp segmentation is crucial for precise diagnosis and prevention of colorectal cancer. However, precise polyp segmentation still faces challenges, mainly due to the similarity of polyps to their surroundings in terms of color, shape, texture, ...

This paper investigates the finite‐time synchronization issue of Takagi‐Sugeno (T‐S) fuzzy stochastic complex networks (TSFSCN) with disturbances and time‐varying delays using the preassigned‐time sliding mode control (SMC) strategy. A novel ...

The global Blockchain networks are growing and demand for resources is also growing respectively. The systems are switching from traditional systems to advanced systems where there is a seamless connectivity with 6G communication channels and security of ...

Hematoxylin and eosin (H&E) staining offers the advantages of low cost and high stability, effectively revealing the morphological structure of the nucleus and tissue. Predicting the expression levels of estrogen receptor (ER), progesterone ...

In this paper, we study a multi-access mobile edge computing (MEC) network in the industrial Internet-of-Things (IoT) scenario, which aims at providing a joint computation service for a group of sub-tasks offloaded from multiple user equipments (UEs). The ...

In this article, by using the output feedback information, an adaptive fuzzy decentralized controller for a class of nonlinear large-scale cyber–physical systems (CPSs) is developed. The considered system encompass unmeasurable states and are ...

In this paper, we investigate bipartite containment control problem of multi-agent systems (MASs) with signed directed graph under adversarial inputs. Firstly, we define the bipartite containment error and establish the equivalence between the ...

Identifying diagnostic biomarkers for cancer is crucial in the field of personalized medicine. The available transcriptome and interactome provide unprecedented opportunities and challenges for biomarker screening. From a systematic perspective, ...

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• TopMarker analyses transcriptome and interactome datasets through network-based medicine methodologies to identify pivotal diagnostic biomarkers in personalized medicine to provide deep insights into personalized medicine.
• By comparing ...

• A novel approach for personalizing the model with DF patients was proposed.
• Four innovative compression strategies were introduced and numerically compared.
• The standard EECP could be simplified by removing one pair of cuffs around ...

Diabetic foot (DF) complications often lead to severe vascular issues. This study investigated the effectiveness of enhanced external counterpulsation (EECP) and its derived innovative compression strategies in addressing ...

Recently, detection transformers (DETRs) have gradually taken a dominant position in 2D detection thanks to their elegant framework. However, DETR-based detectors for 3D point clouds are still difficult to achieve satisfactory performance. We ...

Accurate depth information is crucial for enhancing the performance of multi-view 3D object detection. Despite the success of some existing multi-view 3D detectors utilizing pixel-wise depth supervision, they overlook two significant phenomena: 1) ...

Multi-modality magnetic resonance imaging (MRI) is crucial for accurate disease diagnosis and surgical planning by comprehensively analyzing multi-modality information fusion. This fusion is characterized by unique patterns of information ...${}^{\mathrm{}}$${}^{\mathrm{}}$${}^{\mathrm{}}$

As autonomous driving systems (ADS) advance towards higher levels of autonomy, orchestrating their safety verification becomes increasingly intricate. This paper unveils ScenarioFuzz, a pioneering scenario-based fuzz testing methodology. Designed like a ...

This article investigates the attitude containment control problem for multiple spacecrafts based on optimized backstepping design strategy. First, the spacecrafts' attitude dynamics are modeled by modified Rodrigues parameters and are rewritten in ...

Oracle bone inscriptions are the earliest mature writing system in China. Research on the character recognition of oracle bone inscriptions is of great significance for interpreting ancient history and culture. However, current detection models have high ...

User-generated content (UGC), which generates vast amounts of content in real-time through social networks, offers a significant opportunity for mining new knowledge. The survival of information technology products such as mobile APPs (mAPPs) ...

• A novel user-generated content-driven framework is proposed to explore user experiences of mAPPs products.
• A new model based on Kano model is constructed to automatically distinguish the attributes of factors.
• Potential impact ...

This paper investigates the output-feedback adaptive boundary control issue of the n-dimensional coupled parabolic PDE system (PPDES) with the same diffusivity parameters and the unknown spatially varying parameters. To further simplify the ...

• A novel space-time signal model for STAP radar based o n subarray based partly calibrated arrays (PCA) is developed.
• The grid-based sparse representation of the signal model for the PCAs is presented.
• We proposed a novel SR-STAP ...

Sparse recovery based space-time processing (SR-STAP) techniques are capable of achieving satisfactory clutter suppression and target detection performance, even with limited training samples. The majority of existing approaches are developed ...

This paper addresses the problem of road network cooperative persistent surveillance algorithm suitable for online planning. A diffusion-based reactive cooperative path planing approach (DRCP) is designed. Compared with existing related methods, DRCP uses ...

In many scientific experiments, multiarmed bandits are used as an adaptive data collection method. However, this adaptive process can lead to a dependence that renders many commonly used statistical inference methods invalid. An example of this ...