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Arterial blood pressure (ABP) is a critical indicator for cardiovascular disease detection, with hypertension being a major global risk factor. This study explores a novel method for ABP estimation by integrating photoplethysmography (PPG) and ...

This paper aims to explore the relationship between nighttime stress management and sleep staging based on photoelectric volume pulse wave (PPG) technology, and to analyze its application potential in improving individual sleep quality and mental health. ...

Industrial clusters play a pivotal role in securing competitive advantages and achieving national strategic objectives within the new energy sector. The assessment of new energy industrial clusters is crucial for sustaining their swift ...

This paper studies the secure synchronization problem for two-time-scale complex dynamical networks with unknown dynamics information and malicious attacks. The challenge is that under complex dynamic networks with unknown dynamic information, ...

• A distributed model-free sliding mode controller is presented for SPCDNs.
• An iterative algorithm based on RL is employed.
• The controller can weaken the influence of the attacks and achieve secure synchronization.

This article aims to explore the reform of cooperative education and talent development models between universities and enterprises in the field of computer science, to meet current industry demands and students' developmental needs. An analysis of the ...

Abdominal trauma is one of the leading causes of death in the elderly population and increasingly poses a global challenge. However, interpreting CT scans for abdominal trauma is considerably challenging for deep learning models. Trauma may exist ...

In diffusion MRI (dMRI), a uniform single or multiple shell sampling scheme is typically required for data acquisition in $\mathbf{q}$-space, because uniform spherical sampling offers the advantage of capturing more information using fewer samples, leading ...

The dopamine transporter (DAT) imaging such as ${}^{11}$C-CFT PET has shown significant superiority in diagnosing Parkinson’s Disease (PD). However, most hospitals have no access to DAT imaging but instead turn to the commonly used ${}^{18}$F-FDG PET, which may ...${}^{\mathrm{}}$

Label distribution learning (LDL) trains a model to predict the relevance of a set of labels (called label distribution (LD)) to an instance. The previous LDL methods all assumed the LDs of the training instances are accurate. However, annotating highly ...

This article addresses the problem of non-zero sum games for Markov jump multiplayer systems (MJMSs) using the reinforcement Q-learning method. Firstly, the Q-functions for each player are derived from the system states and the control inputs. On ...

Scheduling problems with batch processing machine (BPM) have been extensively considered; however, hybrid flow shop scheduling problem with BPM (HFSP-BPM) has not been fully investigated. In this study, energy-efficient HFSP-BPM (EHFSP-BPM), in ...

The edge blow-up of a graph G, denoted by G p + 1, is obtained by replacing each edge of G with a clique of order p + 1, where the new vertices of the cliques are all distinct. Yuan (2022) [20] determined the range of the Turán numbers for edge ...

In the multi-organ segmentation task of medical images, there are some challenging issues such as the complex background, blurred boundaries between organs, and the larger scale difference in volume. Due to the local receptive fields of ...

• Proposed an adjacent-scale fusion UNet to enhance the effectiveness and efficiency.
• The designs of LKRB and LKGRN help explore bridging the gap between ViTs and CNNs.
• Using Grad-CAM to gain a deeper understanding of the information ...

This article investigates the adaptive tracking control problem for switched nonlinear systems with input quantization and hysteresis nonlinearity. First, the hysteresis nonlinear phenomenon is considered and the Bouc–Wen hysteresis model is ...

Most meta-learning methods assume that the (very small) context set used to establish a new task at test time is passively provided. In some settings, however, it is feasible to actively select which points to label; the potential gain from a ...

Trajectory mapping onto a road network is a complex yet important task. This is because, in the presence of circular sections, Y-shaped intersections, and sections with elevated overlaps with the ground, the conditions of road networks become ...

The prevalence of generative artificial intelligence (AI) has brought attention to the challenge of distinguishing AI-generated texts from human-written ones. Particularly, Large Language Models (LLMs) have the ability to generate texts that mimic ...

Independent of graph augmentation techniques, graph autoencoders (GAEs) have yielded promising results in the realm of self-supervised learning. However, GAEs tend to over-emphasize proximity information at the expense of structural information, ...

The BIM Component Library serves as a collaborative platform essential for sharing BIM resources. However, the platform's integrity is often compromised by user-uploaded components that contain errors such as misclassification, mismatched thumbnails, and ...

Visual identity (VI) comprises symbols and text elements that express the essence of the corporate. Misuse of the visual identity could significantly harm the corporate image and reputation. Therefore, it is important to early detect the misuse of visual ...