Efficient use of binned data for imputing univariate time series data [0.03%]
箱型离散数据的有效利用以进行单变量时间序列插补
Jay Darji,Nupur Biswas,Vijay Padul et al.
Jay Darji et al.
Time series data are recorded in various sectors, resulting in a large amount of data. However, the continuity of these data is often interrupted, resulting in periods of missing data. Several algorithms are used to impute the missing data,...
Equitable differential privacy [0.03%]
公平差分隐私
Vasundhara Kaul,Tamalika Mukherjee
Vasundhara Kaul
Differential privacy (DP) has been in the public spotlight since the announcement of its use in the 2020 U.S. Census. While DP algorithms have substantially improved the confidentiality protections provided to Census respondents, concerns h...
Data science's cultural construction: qualitative ideas for quantitative work [0.03%]
数据科学的文化建构：定性思想与定量工作
Philipp Brandt
Philipp Brandt
Introduction: "Data scientists" quickly became ubiquitous, often infamously so, but they have struggled with the ambiguity of their novel role. This article studies data science's collective definition on Twitter. ...
The development and application of a novel E-commerce recommendation system used in electric power B2B sector [0.03%]
一种新型电子商务推荐系统在电力b2b领域的应用与发展研究
Wenjun Meng,Lili Chen,Zhaomin Dong
Wenjun Meng
The advent of the digital era has transformed E-commerce platforms into critical tools for industry, yet traditional recommendation systems often fall short in the specialized context of the electric power industry. These systems typically ...
Technologies and main functionalities of the telemonitoring application reCOVeryaID [0.03%]
康复应用远程监控技术及主要功能特色分析——RECOVERYAID项目案例研究
Daniela D&#x;Auria,Fabio Bettini,Selene Tognarelli et al.
Daniela D&#x;Auria et al.
The COVID-19 pandemic has highlighted the need to take advantage of specific and effective patient telemonitoring platforms, with specific reference to the constant monitoring of vital parameters of patients most at risk. Among the various ...
Julie Anne Holanda Azevedo,Demostenis Ramos Cassiano,Bruno Vieira Bertoncini
Julie Anne Holanda Azevedo
This paper aims to evaluate the driving style effects, through the construction of driving cycles, on the polluting gases, in the context of urban freight transportation. For this, the method used was the construction of cycles through the ...
Beyond surveillance: privacy, ethics, and regulations in face recognition technology [0.03%]
超越监视：面部识别技术中的隐私、伦理和规范问题
Xukang Wang,Ying Cheng Wu,Mengjie Zhou et al.
Xukang Wang et al.
Facial recognition technology (FRT) has emerged as a powerful tool for public governance and security, but its rapid adoption has also raised significant concerns about privacy, civil liberties, and ethical implications. This paper critical...
Efficient enhancement of low-rank tensor completion via thin QR decomposition [0.03%]
基于Thin QR分解的低秩张量补全算法改进
Yan Wu,Yunzhi Jin
Yan Wu
Low-rank tensor completion (LRTC), which aims to complete missing entries from tensors with partially observed terms by utilizing the low-rank structure of tensors, has been widely used in various real-world issues. The core tensor nuclear ...
Patchanok Srisuradetchai,Korn Suksrikran
Patchanok Srisuradetchai
The k-nearest neighbors (KNN) regression method, known for its nonparametric nature, is highly valued for its simplicity and its effectiveness in handling complex structured data, particularly in big data contexts. However, this method is s...
Negar Etemadyrad,Yuyang Gao,Sai Manoj Pudukotai Dinakarrao et al.
Negar Etemadyrad et al.
With the increasing popularity of Graph Neural Networks (GNNs) for predictive tasks on graph structured data, research on their explainability is becoming more critical and achieving significant progress. Although many methods are proposed ...