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 ...
YOLOv8's advancements in tuberculosis identification from chest images [0.03%]
基于胸部影像的肺结核识别中YOLOv8的应用进展
Mohamudha Parveen Rahamathulla,W R Sam Emmanuel,A Bindhu et al.
Mohamudha Parveen Rahamathulla et al.
Tuberculosis (TB) is a chronic and pathogenic disease that leads to life-threatening situations like death. Many people have been affected by TB owing to inaccuracy, late diagnosis, and deficiency of treatment. The early detection of TB is ...
MedT5SQL: a transformers-based large language model for text-to-SQL conversion in the healthcare domain [0.03%]
MedT5SQL：医疗领域基于变换器的大规模语言模型文本到SQL转换
Alaa Marshan,Anwar Nais Almutairi,Athina Ioannou et al.
Alaa Marshan et al.
Introduction: In response to the increasing prevalence of electronic medical records (EMRs) stored in databases, healthcare staff are encountering difficulties retrieving these records due to their limited technical exper...
Source-free domain adaptation for semantic image segmentation using internal representations [0.03%]
无源域适应的语义图像分割内部控制表示方法
Serban Stan,Mohammad Rostami
Serban Stan
Semantic segmentation models trained on annotated data fail to generalize well when the input data distribution changes over extended time period, leading to requiring re-training to maintain performance. Classic unsupervised domain adaptat...
Toward the design of persuasive systems for a healthy workplace: a real-time posture detection [0.03%]
迈向健康工作环境的劝说系统设计：实时姿态检测研究
Grace Ataguba,Rita Orji
Grace Ataguba
Persuasive technologies, in connection with human factor engineering requirements for healthy workplaces, have played a significant role in ensuring a change in human behavior. Healthy workplaces suggest different best practices applicable ...