The prisoner’s dilemma game is a paradigmatic example of a plight situation in which different individuals vie for maximal payoffs. And it has been shown that interaction networks that host such individuals have an immense impact on individual ...

• We combine two and multi-person prisoner’s dilemma games.
• We explore the impact of 2-order simplicial complex network on cooperation.
• The fraction of multiplayer games is controlled by the fraction of 2-simplices.
• Cooperation ...

Human glutaminyl cyclase (hQC) inhibitors have great potential to be used as anti- Alzheimer's disease (AD) agents by reducing the toxic pyroform of β-amyloid in the brains of AD patients. The four-dimensional quantitative structure activity ...

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• Established a 4D-QSAR model for N-substituted urea/thioureas with good predictive ability.
• Designed and evaluated new N-substituted urea/thioureas as potential hQC inhibitors.
• Confirmed stability and interaction patterns with hQC ...

Due to the diversity of assessment requirements in various application scenarios for the IQA task, existing IQA methods struggle to directly adapt to these varied requirements after training. Thus, when facing new requirements, a typical approach ...

The autonomous driving system heavily depends on perception algorithms to gather crucial information about the surrounding urban environment. However, detecting small objects on busy urban roads poses a significant challenge. To overcome this ...

This thesis addresses a critical challenge in UAV navigation by investigating and mitigating the impact of magnetic interference on Inertial Navigation Systems (INS). It emphasizes the importance of accurate attitude determination for UAV flight ...

Epilepsy is one of the most common life-threatening neurological disorders in the world. The uncertain nature of seizures poses a challenge in the detection and recognition of epilepsy. Aiming at the problem of imbalance between seizure and non-...

In order to enhance the speed and performance of cervical diagnosis, we propose an improved Residual Network (ResNet) by combining pyramid convolution with depth-wise separable convolution to obtain the high-quality cervical classification. Since ...$$$$$$$$$$$$

The proliferation of artificial intelligence and edge computing has led to an increase in the deployment of proprietary deep learning models on third-party edge servers or devices to power mission-critical applications. However, this trend raises ...

• A system-algorithm jointly optimized model inference system at the edge.
• Building computational pipeline that can be adapted to underlying trusted components.
• Lightweight perturbation policy to protect against advanced privacy ...

This paper analyzes the reasons for the significant influence of Dao Lang’s songs by calculating the proportion of modernity in the lyrics of “Rakshasa Sea City” in albums such as “Mountain Songs are Lonely” and “Red Classic”, especially in “...

Cross-chain mechanism functions as typical approaches for information interaction between diverse blockchains tackling the problem of information silos in the big data era. Most of the existing cross-chain mechanisms are targeted at virtual ...

• Unmanned Aerial Vehicle (UAV) can detect rubber tree powdery mildew.
• The proposed MSA-CNN model improves the classification performance.
• Fused features perform better than single type of features.

Rubber tree powdery mildew(PM) is one of the most critical leaf diseases of rubber trees. The epidemic of this disease can seriously affect natural rubber yields and necessitates timely monitoring, especially in the early stages. In recent years, ...

• A novel full-scale hierarchical encoder-decoder network is proposed to unify the full-scale long-range semantic information and single-scale shallow details of multi-modal images.
• To comprehensively utilize the multilayer effective ...

Most existing deep learning-based infrared and visible image fusion methods always fail to consider the full-scale long-range correlation and the prior knowledge, resulting in the fused images with low-contrast salient objects and blurred edge ...

The current digital speech deletion and insertion tampering detection methods mainly employes the extraction of phase and frequency features of the Electrical Network Frequency (ENF). However, there are some problems with the existing approaches, ...

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• The ENF fluctuation super vector is extracted for audio tampering detection.
• An end-to-end DNN is designed for deletion and insertion tampering detection.
• Experiments have verified that the proposed method outperforms the SOTA ...

Advances in high-throughput single-cell RNA sequencing (scRNA-seq) technology have provided more comprehensive biological information on cell expression. Clustering analysis is a critical step in scRNA-seq research and provides clear knowledge of the cell ...

Weakly supervised image segmentation approaches in the literature usually achieve high segmentation performance using tight bounding box supervision and decrease the performance greatly when supervised by loose bounding boxes. However, compared ...

• This work develops weakly supervised image segmentation beyond tight bounding boxes.
• It proposes a multiple instance learning strategy based on polar transformation.
• A weighted smooth maximum approximation is introduced for the bag ...

The one-class classification (OCC) problem has always been a popular topic because it is difficult or expensive to obtain abnormal data in many practical applications. Most of OCC methods focused on monomodal data, such as support vector data description (...

To solve the problem of inaccurate classification results of current educational resource classification methods, a MOOC micro-class resource classification method based on improved decision tree algorithm is proposed. Firstly, adaptive reconstruction ...

Securing Internet of Vehicles (IoVs) systems against common threats such as false message injection remains challenging, and one typical approach is to deploy trust management solutions. In this work, we propose a Consensus-Adaptive Trust management (CAT) ...

For the power generation prediction of traditional hydropower stations, most of them only use time series prediction and neglect to study the spatial topological relationship of hydropower stations in the river basin, so that it is difficult to fully ...

Mountain is the most traditional tourism destination in China. On the basis of analyzing the particularity and its spatial differentiation of human-environment relationship in mountain tourism destination, this paper conducts empirical analysis in Yulong ...