Adaptive model for rate of penetration prediction based on the dynamic correlation of influencing factors [0.03%]
基于影响因素动态相关性的钻进速度预测自适应模型
Yonggang Deng,Xiaojing Zhou,Zixuan Feng et al.
Yonggang Deng et al.
Introduction: Accurately predicting the rate of penetration (ROP) is a critical benchmark for evaluating operational efficiency in drilling operations, and it is necessary to optimize the drilling parameters and construct...
Application of artificial intelligence in cervical cytology: a systematic review of deep learning models, datasets, and reported metrics [0.03%]
人工智能在宫颈细胞学中的应用：深度学习模型、数据集和报告指标的系统性回顾
Miguel Angel Valles-Coral,Lloy Pinedo,Ciro Rodríguez et al.
Miguel Angel Valles-Coral et al.
Introduction: The use of artificial intelligence (AI) in cervical cytology has increased substantially due to the need for automated tools that support the early detection of precancerous lesions. ...
Privacy protection method for ADS-B air traffic control data based on convolutional neural network and symmetric encryption [0.03%]
基于卷积神经网络与对称加密的ADS-B航电数据隐私保护方法
Changsheng Ma,Ruchun Jia,Jing Lou et al.
Changsheng Ma et al.
Introduction: ADS-B (Automatic Dependent Surveillance-Broadcast) is a key surveillance technology in modern air traffic management, which broadcasts real-time aircraft information such as position, speed, and altitude for...
Transparent and trustworthy CyberSecurity: an XAI-integrated big data framework for phishing attack detection [0.03%]
透明且可信的网络安全：一种基于大数据框架的概念验证方案以检测网络钓鱼攻击
Muhammad Nauman,Hafiz Muhammad Usman Akhtar,Huseyn Gorbani et al.
Muhammad Nauman et al.
Introduction: The exponential growth of heterogeneous, high-velocity CyberSecurity data generated by modern digital infrastructures presents both opportunities and challenges for threat detection, especially against incre...
Time series forecasting for bug resolution using machine learning and deep learning models [0.03%]
基于机器和深度学习模型的缺陷修复时间序列预测研究
Lerina Aversano,Martina Iammarino,Antonella Madau et al.
Lerina Aversano et al.
Predicting bug fix times is a key objective for improving software maintenance and supporting planning in open source projects. In this study, we evaluate the effectiveness of different time series forecasting models applied to real-world d...
Yves Philippe Rybarczyk,Niralkumar Hemantbhai Dave,Tobias Isaac Tapia-Flores et al.
Yves Philippe Rybarczyk et al.
Introduction: This study investigates the bidirectional causal interplay between PM2.5 and relative humidity (RH) in Quito, Ecuador. Focusing on a high-altitude city with complex terrain, the objective is to understand po...
Posterior averaging with Gaussian naive Bayes and the R package RandomGaussianNB for big-data classification [0.03%]
基于高斯朴素贝叶斯的大数据分类及其R语言实现RandomGaussianNB包
Patchanok Srisuradetchai
Patchanok Srisuradetchai
RandomGaussianNB is an open-source R package implementing the posterior-averaging Gaussian naive Bayes (PAV-GNB) algorithm, a scalable ensemble extension of the classical GNB classifier. The method introduces posterior averaging to mitigate...
Detecting anti-forensic deepfakes with identity-aware multi-branch networks [0.03%]
基于身份的多分支网络用于检测反取证深度换脸伪造视频
Mingyu Zhu,Jun Long
Mingyu Zhu
Deepfake detection systems have achieved impressive accuracy on conventional forged images; however, they remain vulnerable to anti-forensic or adversarial samples deliberately crafted to evade detection. Such samples introduce imperceptibl...
Unequal access in a digital age: women's digital exclusion and socioeconomic inequalities in Vietnam [0.03%]
数字经济时代的机会不均等：越南女性的数字排斥与经济社会不平等
Chi Thi Lan Pham,Quyen Thi Tu Bui,Anh Ha Le et al.
Chi Thi Lan Pham et al.
Introduction: Access to information and communication technologies (ICTs) and the skills to use them are essential for inclusive development and digital participation. As Vietnam accelerates its digital transformation, en...
Robust contactless fingerprint authentication using dolphin optimization and SVM hybridization [0.03%]
基于海豚优化和支持向量机的鲁棒无接触指纹认证方法
Jenisha Rachel,Ezhilmaran Devarasan
Jenisha Rachel
The field of contactless fingerprint (CLFP) recognition is rapidly evolving, driven by its potential to offer enhanced hygiene and user convenience over traditional touch-based systems without compromising security. This study introduces a ...