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• We propose a new fractional-order moments named as FRSBFMS.
• We integrate FRSBFMS and quaternion theory to develop QFrSBFMs.
• The rotation invariance and parameter α are discussed in detail.

Moment and moment invariants as effective feature descriptors have been widely applied in image analysis, pattern recognition and computer vision applications. Scholars have demonstrated that fractional-order orthogonal moments outperform their ...

The tasks of view synthesis and decoupling dynamic objects from the static environment for monocular scenes are both long-standing challenges in CV and CG. Most of the previous NeRF-based methods rely on implicit representation, which require additional ...

Emotion recognition aims to discern the emotional state of subjects within an image, relying on subject-centric and contextual visual cues. Current approaches typically follow a two-stage pipeline: first localize subjects by off-the-shelf detectors, then ...

Fine-tuning pre-trained large language models (LLMs) helps various downstream tasks, but brings serious privacy leaks when relying on large amounts of data for training. Differentially private stochastic gradient descent (DPSGD) has been designed ...

Pancreatic cancer does not show specific symptoms, which makes the diagnosis of early stages difficult with established image-based screening methods and therefore has the worst prognosis among all cancers. Although endoscopic ultrasonography (...

• A semi-supervised network is designed to classify and segment pancreatic mass.
• Saliency-aware contrastive loss is introduce to capture unlabeled data features.
• Attention modules are proposed to classify and segment pancreatic ...

Cloud file sharing (CFS) in cloud storage is one of the essential tools for enterprises to improve their core competitiveness. In the sharing process, user dynamic management and players/readers abuse has always been a problem that needs to be ...

• Prevent malicious encryptors. We use the feature of uniform distribution of hash output to hash random numbers, which makes it impossible to embed the random trapdoor.
• Dynamic management of users. We incorporate puncture encryption ...

With the rapid development of IoT technology, various computation-intensive and latency-sensitive tasks have emerged in large numbers, which impose higher requirements on the processing efficiency of the tasks. In this paper, by fusing mobile ...

In recent years, China has entered an aging society [1]. As they age, the elderly experience a continuous decline in vision. The decrease in the transmittance of the elderly lens and the size of the pupil leads to a weakened sensitivity to light [...

In recent years, learning-based approaches have demonstrated significant promise in addressing intricate navigation tasks. Traditional methods for training deep neural network navigation policies rely on meticulously designed reward functions or ...

According to a series of guiding documents on overseas asset management of central enterprises, led by the Guiding Opinions on Strengthening the Prevention and Control of Overseas Integrity Risks of Central Enterprises, issued by the Discipline ...

The presence of microparticle viruses significantly impacts the quality of silkworm seeds for domestic sericulture, making their exclusion from detection in silkworm seed production crucial. Traditional methods for detecting microparticle viruses ...

In recent years, neural topic modeling has increasingly raised extensive attention due to its capacity on generating coherent topics and flexible deep neural structures. However, the widely used Dirichlet distribution in shallow topic models is ...

Bug reproduction stands as a pivotal phase in software development, but the absence of configuration information emerges as the main obstacle to effective bug reproduction. Since configuration options generally control critical branches of the software, ...

In recent years, along with the development and application of 5G technology, the field of industrial Internet has been rapidly developed. Accompanied by massive heterogeneity and unstructured data, it may cause the traditional relatively closed network ...

Graph random walk sampling is becoming increasingly important with the widespread popularity of graph applications. It aims to capture the desirable graph properties by launching multiple walkers to collect feature paths. However, previous research ...

The wide application of edge cloud computing in the Internet of Vehicles (IoV) provides lower latency, more efficient computing power, and more reliable data transmission services for vehicle applications. Realistic vehicle applications ...

With the widespread data collection and processing, privacy-preserving machine learning has become increasingly important in addressing privacy risks related to individuals. Support vector machine (SVM) is one of the most elementary learning ...

With the increasing prevalence of microservice technology, the architectural flexibility and scalability of software systems have witnessed notable advancements. However, this progress has also brought about a challenge in meeting the frequent ...

With the utilization of edge servers, cloud-native microservice systems are gradually evolving to the network edge, and large-scale distributed microservice systems in cloud-edge environments are emerging. Due to the limited resources of edge ...

The prevalence and severity of software configuration-induced issues have driven the design and development of a number of detection and diagnosis techniques. Many of these techniques need to perform static taint analysis on configuration-related ...