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Embedding models show superiority in learning representations of massive ID-type features in sparse learning scenarios such as recommendation systems (e.g., user/item IDs) and graph learning (e.g., node/edge IDs). Commodity GPUs are highly favored for ...

The study of cooperation within social dilemmas has long been a fundamental topic across various disciplines, including computer science and social science. Recent advancements in Artificial Intelligence (AI) have significantly reshaped this ...

• Survey of multi-agent cooperation: intrinsic/extrinsic motivations and strategies.
• Review of AI–human cooperation: algorithms and biases in human–AI interactions.
• AI’s role in enhancing cooperation among humans in social dilemmas.

The problem studied in this paper is the maximin share fair allocation of multiple resources in a cloud-edge collaborative computing system with bandwidth demand compression. For this problem, we propose a mechanism called maximin share fairness (...

Aspect sentiment triplet extraction is an important task in natural language processing. Previous work tends to focus on the interaction between the aspect and opinion, while ignoring the positive impact of sentiment on interaction within the triplet. In ...

Short videos turn into an important channel for public sharing, as well as they've become a fertile ground for fake news. Fake news video detection is to judge the veracity of news based on its different modal information, such as video, audio, text, ...

• VGGFACE and VGGFACE2 pre-trained models are utilized for cattle face recognition.
• A face image database of 91 cattle was constructed, consisting of 315 raw RGB face images.
• Pre-processing of RGB face images improves the model’s ...

Cattle face recognition technology is an innovative approach to herd management that allows farmers to effectively monitor the health of animals, their movement and behavior, for example, by tracking individual animals to determine which ones ...

Fair allocation is a significant research area in mathematics, economics, and artificial intelligence, involving the proportional allocation of heterogeneous goods, such as land, among several agents with varying preferences. Proportionality is ...

For a bus driver, the environment outside the bus door contains a serious visual blind spot. When a bus is parking, waiting for passengers boarding, and exiting the bus station, this blind spot requires the driver to maintain a high degree of attention. ...

Managing urban traffic dynamics is critical in Intelligent Transportation Systems (ITS), where short-term traffic prediction is vital for effective congestion management and vehicle routing. While existing centralized deep learning (DL) models have ...

The Domain Name System's (DNS) root service serves as the backbone of the entire domain name resolution system. Its stability and reliability are pivotal to ensuring the smooth functioning of the network. To gain a real-time and comprehensive ...

The sensitivity and measurement range of nitrogen-vacancy (NV) color center magnetometer are crucial for magnetic field detection as these factors directly influence the sensor's capability to detect weak magnetic fields and its applicability across ...

The increasing integration of the Internet of Health Things (IoHT) in the eHealth sector has significantly advanced the collection of Electronic Health Records (EHR). While blockchain technology offers enhanced data integrity and traceability for EHR, its ...

VOX is a UOV-like hash-and-sign signature scheme from the Multivariate Quadratic (MQ) family, which has been submitted to NIST Post-Quantum Cryptography Project, in response to NIST’s Call for Additional Digital Signature Schemes for the PQC ...

Deep learning (DL) has become essential across various computer science domains. Accurately predicting iteration time for DL models in diverse cloud data center environments is critical for making high-quality scheduling decisions. Existing approaches ...

Decentralized task offloading among cooperative edge nodes has been a promising solution to enhance resource utilization and improve users’ Quality of Experience (QoE) in edge computing. However, current decentralized methods, such as heuristics ...

Cooperation, a prosocial behavior enhancing collective rewards in multi-agent games, intricately intertwines with coordination. This study explores how interaction diversity and zero-sum gifting influence cooperation and coordination in heterogeneous ...

Data dashboards with intuitive visualizations make information more accessible and provide a more in-depth explanation. They have emerged as a crucial tool for effectively communicating pandemic information to wide-ranging audiences. However, the ...

Modern data centers deploy disaggregated storage systems (e.g., NVMe over Fabrics, NVMe-oF) for fine-grained resource elasticity and high resource utilization. A client-side writeback cache is used to absorb writes and buffer frequently accessed data, ...

The rapid collaborative optimization (CO) has an increasing demand for high-fidelity surrogate models. However, the traditional surrogate model cannot be applied to all working conditions due to the limitations of model applicability. A hybrid ...

• The rapid adaptive hybrid surrogate model is proposed to replace the FEA model.
• The weights of sub-surrogate models are adjusted by the proposed Self-attention ANN.
• A comprehensive DOE is used to ensure the quality and validity of ...

The development of efficient methods for mining information from heterogeneous information networks (HINs) has become essential for improving the accuracy of collective entity linking in the absence of third-party knowledge bases. Currently, ...