The burgeoning integration of 3D medical imaging into healthcare has led to a substantial increase in the workload of medical professionals. To assist clinicians in their diagnostic processes and alleviate their workload, the development of a ...

Segment anything model (SAM) is a promising prompt-guided vision foundation model to segment objects of interest. However, the extensive computational requirements of SAM have limited its applicability in resource-constraint edge devices. Post-...

In the citrus orchard environment, accurate counting of the fruit, and the use of lightweight detection methods are the key presteps to automate citrus picking and yield estimations. Most high-precision fruit detection models based on deep ...$$$$$$$$$$

The dynamics of systems of systems often involve complex interactions among the individual systems, making the implications of design choices challenging to predict. Design features in such systems may trigger unexpected behaviors or result in ...

• CDCM tool introduction to aid in informed design of system interactions.
• CDCM architecture separates code from models for flexible configurations.
• CDCM case studies on building degradation and lunar habitats.
• CDCM highlights ...

Link prediction on heterogeneous graph is helpful to improve real network information, promote the development of recommendation system and explore potential correlation. Some existing models and methods have proved that mining the structure and ...

In the development and research process of traditional Chinese medicine, the identification and analysis of Chinese medicinal materials is an important link in quality control and inspection. The identification and quantitative analysis of effective ...

We propose an end-to-end generative adversarial network that allows for controllable ink wash painting generation from sketches by specifying the colors via color hints. To the best of our knowledge, this is the first study for interactive Chinese ink ...

In this article, an imitation learning framework is innovatively developed for robot skills learning in violin bowing. The introduction of dynamic movement primitives (DMPs) to model motion addresses issues such as the uncertainty in changing string ...

Domain Name System (DNS) tunnels, used by attackers to transmit sensitive information through plaintext DNS protocols, have garnered significant attention. In addressing the security concerns of DNS, the Internet Engineering Task Force (IETF) introduced ...

Point cloud registration is a critical task in various 3D applications. Supervised approaches are restricted by the difficulty and cost of acquiring ground-truth annotations. Thus, unsupervised point cloud registration has emerged as a promising ...

The manta ray foraging optimization algorithm (MRFO) is a recently proposed meta-heuristic algorithm that mimics the foraging process of manta rays. It has yielded good outcomes in solving some optimization problems because its mechanism is clear,...

• A novel manta ray foraging optimization NIFMRFO with three improved strategies is proposed.
• The execution efficiency of NIFMRFO is demonstrated by time complexity analysis.
• The performance of NIFMRFO is verified by the CEC2017 test ...

Representation learning assumes that real-world data is generated by a few se-mantically meaningful generative factors (i.e., sources of variation) and aims to discover them in the latent space. These factors are expected to be causally disentangled, ...

Remote Access Trojan (RAT) poses a significant risk in today’s network environment. These malware are commonly employed by hacking groups to monitor victims’ activities and illicitly obtain sensitive personal information from targeted computers. ...$$$$

We replicate 469 anomaly variables similar to those studied by Hou et al. (2020) using Chinese A-share data and a reliable testing procedure with mainboard breakpoints and value-weighted returns. We find that 83.37% of the anomaly variables do not ...

In software development, it is common for programmers to copy-paste or port code snippets and then adapt them to their use case. This scenario motivates the code adaptation task – a variant of program repair which aims to adapt variable identifiers in a ...

Real-time train scheduling is essential for passenger satisfaction in urban rail transit networks. This paper focuses on real-time train scheduling for urban rail transit networks considering uncertain time-dependent passenger origin-destination demands. ...

• We propose a graph-based auxiliary balanced classifier head that is attached to the existing SSL to construct an end-2-end learning framework for efficient label propagation in CISSL.
• We propose a simple yet effective flexible ...

Semi-supervised learning (SSL) has witnessed resounding success in many standard class-balanced benchmark datasets. However, real-world data often exhibit class-imbalanced distributions, which poses significant challenges for existing SSL ...

In the era of Big Data, web automation is frequently used by data scientists, domain experts, and programmers to complete time-consuming data collection tasks. However, developing web automation scripts requires familiarity with a programming language ...

Multi-Exposure Image Fusion (MEF) is a simple and effective solution to obtain high dynamic range images by integrating important information from a series of low dynamic range source images with different exposure levels. Despite promising ...

Micro-expression (ME) is a kind of facial muscle movement spontaneously, which can reflect people’s real emotions and be widely used in psychological treatment, suspect interrogation and other fields. However, the intensity and duration of ME pose ...