Synthetic ECG signal generation using generative neural networks. by Edmond Adib, Fatemeh Afghah, John J Prevost

“…Electrocardiogram (ECG) datasets tend to be highly imbalanced due to the scarcity of abnormal cases. Additionally, the use of real patients' ECGs is highly regulated due to privacy issues. …”
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A systematic review of digital twins’ potential for citizen participation and influence in land use agenda-setting by David Adade, Walter Timo de Vries

“…The findings also reveal two ways of citizen participation: (1) providing data for developing digital twins and (2) utilising digital twins to analyse and identify key land use challenges and to push forward land use claims and proposals within a policy system.…”
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Advancing personalized diagnosis and treatment using deep learning architecture by Rahat Ullah, Nadeem Sarwar, Mohammed Naif Alatawi, Abeer Abdullah Alsadhan, Hathal Salamah Alwageed, Maqbool Khan, Aitizaz Ali

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Collaborative and privacy-preserving cross-vendor united diagnostic imaging via server-rotating federated machine learning by Hao Wang, Xiaoyu Zhang, Xuebin Ren, Zheng Zhang, Shusen Yang, Chunfeng Lian, Jianhua Ma, Dong Zeng

“…Abstract Federated Learning (FL) is a distributed framework that enables collaborative training of a server model across medical data vendors while preserving data privacy. However, conventional FL faces two key challenges: substantial data heterogeneity among vendors and limited flexibility from a fixed server, leading to suboptimal performance in diagnostic-imaging tasks. …”
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Old MacDonald and His Hackable Smartphone Application: A Security and Privacy Analysis of Android Agriculture Applications by Logan Mears, Rachel Donner, George Grispos

“…Despite the widespread use of smartphones among farmers increasing from 77% in 2021 to 82% in 2023, minimal research has examined the security and privacy implications of agricultural smartphone applications, potentially used on these devices. …”
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Security and privacy in online teaching during the COVID-19 pandemic: experiences and concerns of academics in Saudi higher education by Basmah Almekhled, Helen Petrie

“…The findings provide several key insights: Key aspects of online privacy and security for Saudi HEI academics: Saudi HEI academic’s notion of online privacy and security is about the protection of personal data, preventing unauthorized access to data and ensuring the confidentiality and integrity of data. …”
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Biometrics, e-Identity, and the Balance between Security and Privacy: Case Study of the Passenger Name Record (PNR) System by G. Nouskalis

“…The implementation of biometrics entails either the establishment of an identity or tracing a person's identity. Biometric passport data (e.g., irises, fingers, faces) can be used in order to verify a passenger's identity. …”
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Investigating the Relationship between Social Skills and Social Acceptance with Academic Performance, Considering the Mediating Role of Ethical Privacy by Taghreed Radhi Abdol Mohsin, Hassan Ghalavandi

“…Four standard questionnaires of social skills, social acceptance, respect for moral privacy, and academic performance were used for gathering data. …”
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Do Cookie Banners Respect My Browsing Privacy? Measuring the Effectiveness of Cookie Rejection for Limiting Behavioral Advertising by Mateo Ormeno, Ha Dao, Valeria Herskovic, Kensuke Fukuda

“…Online behavioral advertising (OBA) is a method within digital advertising that exploits web users’ interests to tailor ads. Its use has raised privacy concerns among researchers, regulators, and the media, emphasizing the need for a reliable mechanism to measure its prevalence. …”
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PLASMA-Privacy-Preserved Lightweight and Secure Multi-level Authentication scheme for IoMT-based smart healthcare by Hegde Manjunath, M. Karthik, Hegde Varun, Rao Rohini R., Mantoor Vinayak M., Bhat Radhakrishna

“…PLASMA’s security and key privacy are validated through the Real-Or-Random (ROR) model and simulated using the widely accepted Scyther tool. …”
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Leveraging Complex-Valued Federated Learning for Accurate and Privacy-Respectful Threat Detection Based on Millimeter-Wave Imaging by Hadi Mahdipour, Jaime Laviada, Fernando Las-Heras Andres, Mehdi Sookhak

“…This approach provides a highly accurate and privacy-preserving solution for CO detection using high-resolution MMW radar. …”
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Evaluation of privacy protection methods of public service advertising visual design in the perspective of artificial intelligence internet of things. by Xujun Tang

“…Researching the privacy protection method of public service advertising visual design is of great significance to protecting the privacy data security of public service advertising visual designers and the personal privacy of other citizens. …”
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Privacy-Preserving Federated Learning in Healthcare, E-Commerce, and Finance: A Taxonomy of Security Threats and Mitigation Strategies by Kumar Rahul, Shieh Chin-Shiuh, Chakrabarti Prasun, Kumar Ashok, Moolchandani Jhankar, Sinha Raj

“…Federated Learning (FL) transformed decentralized machine learning by allowing joint model training without mutually sharing raw data, hence being especially useful in privacy-sensitive applications like healthcare, e-commerce, and finance. …”
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Federated Deep Learning for Scalable and Privacy-Preserving Distributed Denial-of-Service Attack Detection in Internet of Things Networks by Abdulrahman A. Alshdadi, Abdulwahab Ali Almazroi, Nasir Ayub, Miltiadis D. Lytras, Eesa Alsolami, Faisal S. Alsubaei, Riad Alharbey

“…ResNet improves feature extraction, VGGNet optimises feature refining, and Swin-Transformer captures contextual dependencies, making the model sensitive to complicated attack patterns across varied network circumstances. Using the FL framework, decentralised training protects data privacy and scales and adapts across diverse IoT contexts. …”
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Harnessing Artificial Intelligence to Transform Education: Challenges and Opportunities by Ahma Greta, Kadriu Arbana

“…These include worries about algorithmic unfairness, data privacy, and teachers’ or students’ resistance to using AI-based solutions. …”
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Optimizing malicious website prediction: An advanced XGBoost-based machine learning model by Hussain Sumaira, Zada Islam, Alazab Moutaz, Alfraihi Hessa, Aldhayan Manal, Ullah Inam, Khan Mohammad Asmat Ullah

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Online fashion consumerism among women: The interplay of digital experiences and decision-making – a mediated moderated analysis by Madhura K., Niyaz Panakaje, S. M. Riha Parvin, Shakira Irfana, Mural Henrita Cutinha, Yatheen A, Rovina Sharon Soans

“…However, challenges like concerns over data privacy and difficulties in verifying review authenticity negatively affect the attitude-behavior relationship, with a moderating effect of β = -0.092. …”
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Federated Learning for Surface Roughness by Kai-Lun Cheng, Yu-Hung Ting, Wen-Ren Jong, Shia-Chung Chen, Zhe-Wei Zhou

“…This study proposes a federated learning-based real-time surface roughness prediction framework for WEDM to address issues of empirical parameter tuning and data privacy. By sharing only the model parameters, cross-machine training was enabled without exposing raw data. …”
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Applications of blockchain technology in long-term care: use cases, potentials, and barriers by Beate Steurer, Birgit Trukeschitz, Ulrike Schneider

“…Abstract Background Digitalization in long-term care (LTC) is being discussed as a means of easing pressures on care service delivery, optimizing care coordination and planning processes, and improving service quality. With its advanced data protection and process automation features, blockchain technology could help solve data security and privacy issues, especially for the implementation of assistive technologies. …”
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Teachers’ digital literacy competencies according to their age status and their level of use in classes by Gökbulut Burak, Yeniasır Mustafa, Gökbulut Özlem Dağlı

“…Digital literacy means that individuals know how to properly use digital platforms/tools both for their personal development and for solving everyday problems, mastering information technologies and being aware of issues such as legal responsibility, data protection, security and ethics. …”
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