Enhancing geotechnical damage detection with deep learning: a convolutional neural network approach [0.03%]
基于卷积神经网络的地质灾害损伤识别研究增强
Thabatta Moreira Alves de Araujo,Carlos André de Mattos Teixeira,Carlos Renato Lisboa Francês
Thabatta Moreira Alves de Araujo
Most natural disasters result from geodynamic events such as landslides and slope collapse. These failures cause catastrophes that directly impact the environment and cause financial and human losses. Visual inspection is the primary method...
Decoding Bitcoin: leveraging macro- and micro-factors in time series analysis for price prediction [0.03%]
解密比特币：基于宏观和微观因素的时间序列分析价格预测方法研究
Hae Sun Jung,Jang Hyun Kim,Haein Lee
Hae Sun Jung
Predicting Bitcoin prices is crucial because they reflect trends in the overall cryptocurrency market. Owing to the market's short history and high price volatility, previous research has focused on the factors influencing Bitcoin price flu...
Linghong Kuang,Kunliang Si,Jing Zhang
Linghong Kuang
A social network is a platform that users can share data through the internet. With the ever-increasing intertwining of social networks and daily existence, the accumulation of personal privacy information is steadily mounting. However, the...
Machine learning and natural language processing to assess the emotional impact of influencers' mental health content on Instagram [0.03%]
基于机器学习和自然语言处理评估Instagram上意见领袖的心理健康内容的情感影响
Noemi Merayo,Alba Ayuso-Lanchares,Clara González-Sanguino
Noemi Merayo
Background: This study aims to examine, through artificial intelligence, specifically machine learning, the emotional impact generated by disclosures about mental health on social media. In contrast to previous research, ...
Classification of imbalanced ECGs through segmentation models and augmented by conditional diffusion model [0.03%]
基于分割模型和条件扩散模型增强的心电图不平衡分类
Jinhee Kwak,Jaehee Jung
Jinhee Kwak
Electrocardiograms (ECGs) provide essential data for diagnosing arrhythmias, which can potentially cause serious health complications. Early detection through continuous monitoring is crucial for timely intervention. The Massachusetts Insti...
Increasing the explainability and success in classification: many-objective classification rule mining based on chaos integrated SPEA2 [0.03%]
基于混沌集成SPEA2的多目标分类规则挖掘：提高可解释性和分类正确率
Suna Yildirim,Bilal Alatas
Suna Yildirim
Classification rule mining represents a significant field of machine learning, facilitating informed decision-making through the extraction of meaningful rules from complex data. Many classification methods cannot simultaneously optimize bo...
Comparative analysis of BERT and FastText representations on crowdfunding campaign success prediction [0.03%]
BERT与FastText表征在众筹项目成功预测中的比较分析
Hakan Gunduz
Hakan Gunduz
Crowdfunding has become a popular financing method, attracting investors, businesses, and entrepreneurs. However, many campaigns fail to secure funding, making it crucial to reduce participation risks using artificial intelligence (AI). Thi...
Mechanical fault diagnosis of high voltage circuit breaker using multimodal data fusion [0.03%]
基于多模态数据融合的高压断路器机械故障诊断方法研究
Tianhui Li,Yanwei Xia,Xianhai Pang et al.
Tianhui Li et al.
A high voltage circuit breaker (HVCB) plays a crucial role in current smart power system. However, the current research on HVCB mainly focuses on the convenience and efficiency of mechanical structures, ignoring the aspect of their fault di...
Comprehensive analysis of clustering algorithms: exploring limitations and innovative solutions [0.03%]
全面分析聚类算法：探讨限制与创新解决方案
Aasim Ayaz Wani
Aasim Ayaz Wani
This survey rigorously explores contemporary clustering algorithms within the machine learning paradigm, focusing on five primary methodologies: centroid-based, hierarchical, density-based, distribution-based, and graph-based clustering. Th...
Key derivation function: key-hash based computational extractor and stream based pseudorandom expander [0.03%]
密钥导出函数：基于键哈希的计算提取器和流式的伪随机扩展器
Chai Wen Chuah,Nur Ziadah Harun,Isredza Rahmi A Hamid
Chai Wen Chuah
The key derivation function is a specific cryptographic algorithm that transforms private string and public strings into one or more cryptographic keys. The cryptographic keys are essential for protecting electronic data during transmission...