I'm all ears! Listening to software developers on putting GDPR principles into software development practice [0.03%]
洗耳恭听！倾听软件开发者在将《通用数据保护条例》原则付诸实践方面的意见
Abdulrahman Alhazmi,Nalin Asanka Gamagedara Arachchilage
Abdulrahman Alhazmi
Previous research has been carried out to identify the impediments that prevent developers from incorporating privacy protocols into software applications. No research has been carried out to find out why developers are not able to develop ...
Luis A Castro,Jose Bravo
Luis A Castro
Forecasting major impacts of COVID-19 pandemic on country-driven sectors: challenges, lessons, and future roadmap [0.03%]
COVID-19大流行对国家主导部门的重大影响预测：挑战、教训及未来前景
Saket Kumar,Rajkumar Viral,Vikas Deep et al.
Saket Kumar et al.
The pandemic caused by the coronavirus disease 2019 (COVID-19) has produced a global health calamity that has a profound impact on the way of perceiving the world and everyday lives. This has appeared as the greatest threat of the time for ...
Correction to: Diagnosis and combating COVID-19 using wearable Oura smart ring with deep learning methods [0.03%]
Correction to：利用Oura智能戒指和深度学习方法诊断和对抗COVID-19
M Poongodi,Mounir Hamdi,Mohit Malviya et al.
M Poongodi et al.
[This corrects the article DOI: 10.1007/s00779-021-01541-4.]. © Springer-Verlag London Ltd., part of Springer Nature 2021.
Published Erratum
Personal and ubiquitous computing. 2022;26(1):37. DOI:10.1007/s00779-021-01553-0 2022
Enhanced BB84 quantum cryptography protocol for secure communication in wireless body sensor networks for medical applications [0.03%]
增强型BB84量子密钥分发协议在医疗应用无线体域网中的安全通信研究
Anusuya Devi V,Kalaivani V
Anusuya Devi V
Wireless body sensor network (WBSN) is an interdisciplinary field that could permit continuous health monitoring with constant clinical records updates through the Internet. WBAN is a special category of wireless networks. Coronavirus disea...
Correction to: The early warning research on nursing care of stroke patients with intelligent wearable devices under COVID-19 [0.03%]
Correction to：“新冠肺炎疫情期间基于智能可穿戴设备的卒中患者护理早期预警研究
Fengxia Li,Zhimin Tao,Ruiling Li et al.
Fengxia Li et al.
[This corrects the article DOI: 10.1007/s00779-021-01520-9.]. © Springer-Verlag London Ltd., part of Springer Nature 2021.
Published Erratum
Personal and ubiquitous computing. 2023;27(3):781. DOI:10.1007/s00779-021-01537-0 2023
Luis A Castro,Laura S Gaytán-Lugo,Pedro C Santana-Mancilla et al.
Luis A Castro et al.
Prediction of muscular paralysis disease based on hybrid feature extraction with machine learning technique for COVID-19 and post-COVID-19 patients [0.03%]
基于机器学习技术的混合特征提取的肌无力疾病预测（用于新冠肺炎和后遗症患者）
Prabu Subramani,Srinivas K,Kavitha Rani B et al.
Prabu Subramani et al.
Many Coronavirus disease 2019 (COVID-19) and post-COVID-19 patients experience muscle fatigues. Early detection of muscle fatigue and muscular paralysis helps in the diagnosis, prediction, and prevention of COVID-19 and post-COVID-19 patien...
What investors say is what the market says: measuring China's real investor sentiment [0.03%]
投资者口中的市场真相：量化中国股市的真实投资者情绪
Yunchuan Sun,Xiaoping Zeng,Siyu Zhou et al.
Yunchuan Sun et al.
This paper describes a novel approach to measure individual investor sentiment using text-based analysis of millions of posts extracted from Chinese financial online forums. We describe how we built a database of more than 200 million stock...
Diagnosis and combating COVID-19 using wearable Oura smart ring with deep learning methods [0.03%]
基于深度学习的Oura智能戒指诊断和对抗新冠肺炎疫情研究
M Poongodi,Mounir Hamdi,Mohit Malviya et al.
M Poongodi et al.
Since the coronavirus (COVID-19) outbreak keeps on spreading all through the world, scientists have been crafting varied technologies mainly focusing on AI for an approach to acknowledge the difficulties of the epidemic. In this current wor...