Titlebook: Quality, Reliability, Security and Robustness in Heterogeneous Systems; 19th EAI Internation Victor C.M. Leung,Hezhang Li,Zhaolong Ning Con

神圣将军

Optimal Design of Hydraulic Fracturing Simulation Experiments for In-Situ Stress Measurementd injection rate, respectively) and to determine the corresponding rock fracturing value (.). This indicates a good distribution uniformity of experimental points. Additionally, this study validated the efficiency and suitability of the experimental method in establishing a fracture pressure correct

concubine

Sentiment Analysis Based on Social Media - Early Stress and Depression Detectionttention mechanisms. In the context of user information, we extract relevant details and directly incorporate them into a deep learning model based on bidirectional GRU (Gated Recurrent Unit) and MLP (Multi-Layer Perceptron). Concurrently, to address the challenge of imbalanced depression datasets,

lipoatrophy

Automatic Depression Detection Using Attention-Based Deep Multiple Instance Learningle is used to process a fixed-length visual and vocal segments to extract temporal representations of instances, and the AD-MIL module is used to aggregate the obtained temporal representations for individual subject predictions. Compared with current benchmarks, our experiments demonstrate that our

察觉

Analysis of Factors Related to Anxiety and Depression in Medical Studentsubgroups have a higher prevalence of anxiety or depression. Employing statistical analysis, the relationships between various factors and the occurrence of psychological disorders are examined. Through differential analysis, factors with a stronger correlation to psychological disorders are identifi

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Structural Health Monitoring of Carbon Fiber Composite Lamination Using Electrical Resistanceto the monitoring of large planar materials, as well as to applications in important areas such as aerospace. In making further comparisons, it can be seen that the 5 mm thin layer of carbon fiber is more sensitive in the process of self-sensing, while the change in resistance is more noticeable whe

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impale

DECS: A Decentralized and Efficient Cross-Chain Scheme in IoT Systemross-chain data signatures across multiple chains, which leads to a reduced storage burden on the blockchain. Furthermore, we introduce a reputation update algorithm that leverages network latency and cross-chain operation metrics to automatically update node reputation scores via smart contracts. E

诱拐

Extraction of Frequently Active Areas of Ships Based on Advanced Grid Density Peak Clusteringty areas to obtain multi-temporal and spatial granularity ship frequent activity areas. Experimental results show that this method can extract frequent motion are-as more accurately than traditional methods, and better reflect the ship’s navigation rules.

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