Public Health Using Social Network Analysis During the COVID-19 Era: A Systematic Review by Stanislava Gardasevic, Aditi Jaiswal, Manika Lamba, Jena Funakoshi, Kar-Hai Chu, Aekta Shah, Yinan Sun, Pallav Pokhrel, Peter Washington

“…We highlight the ethical concerns related to the use of social media data, such as privacy and consent, underscoring the potential of integrating ethical SNA with more inclusive, human-centered practices to enhance the effectiveness and community buy-in of emerging computational public health efforts.…”
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Quantum proof biometric authentication framework using binary lattices and homomorphic encryption for secure cancelable templates by S. Aarthi, K. Geetha, N. Sasikaladevi

“…The genuine and impostor distributions in the extensive data sets were used to validate the above authentication thresholds that were chosen through empirical testing. …”
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A Decentralized Framework for the Detection and Prevention of Distributed Denial of Service Attacks Using Federated Learning and Blockchain Technology by Mao-Hsiu Hsu, Chia-Chun Liu

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Acceptance and perceived usefulness of digital health services in the management of chronic urticaria: a survey of patients and physicians by Michael Hindelang, Alexander Zink, Johannes Knitza, Robert Darkow, Martin Welcker, Tilo Biedermann, Susann May, Felix Muehlensiepen

“…Key barriers to adoption were identified, including concerns over data privacy, limitations in technical infrastructure, and a lack of awareness of available digital health solutions. …”
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Using Artificial Intelligence to Predict Customer Satisfaction with E-Payment Systems during the COVID-19 Pandemic by Samer H. Atawneh, Nawaf N. Hamadneh, Jamil J. Jaber, S. Al Wadi, Waqar A. Khan

“…Descriptive analytical approach of a sample of 1,025 people living in Saudi Arabia was used to answer the study questions and test its hypotheses. …”
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Improving Transformer Performance for French Clinical Notes Classification Using Mixture of Experts on a Limited Dataset by Thanh-Dung Le, Philippe Jouvet, Rita Noumeir

“…The MoE-Transformer addresses the dual challenges of effective training with limited data and low-resource computation suitable for in-house hospital use. …”
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Insights From Art Therapists on Using AI-Generated Art in Art Therapy: Mixed Methods Study by Fereshtehossadat Shojaei, Fatemehalsadat Shojaei, John Osorio Torres, Patrick C Shih

“…ResultsThe study began in August 2023, with data collection involving 10 participants taking place in October 2023. …”
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A Non-Invertible Secure Template Generation Using AES Encrypted MCC and Random Triangle Projection by Mohd Imran, Mohammad Sarosh Umar, Furkan Ahmad

“…In recent years, due to the exponential growth in the applicability of biometric authentication systems, it has become essential to address the privacy and security concerns of user biometric information. …”
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Real-Time Acoustic Scene Recognition for Elderly Daily Routines Using Edge-Based Deep Learning by Hongyu Yang, Rou Dong, Rong Guo, Yonglin Che, Xiaolong Xie, Jianke Yang, Jiajin Zhang

“…Traditional acoustic scene monitoring systems that rely on cloud computing are limited by data transmission delays and privacy concerns. Hence, this study proposes an acoustic scene recognition system that integrates edge computing with deep learning to enable real-time monitoring of elderly individuals’ daily activities. …”
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A Reference Model of GaaP Readiness Indexes Using Systematic Review and Meta-Synthesis Method by Sayyed Mahdi Razavi, Sahar Kousari, Roozbeh Balounejad Nouri, Fatemeh Saghafi

“…This is a qualitative study and a systematic review of the literature in which the meta-synthesis method is used to analyze and analyze the data extracted from selected sources. …”
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Advanced Machine Learning and Deep Learning Approaches for Estimating the Remaining Life of EV Batteries—A Review by Daniel H. de la Iglesia, Carlos Chinchilla Corbacho, Jorge Zakour Dib, Vidal Alonso-Secades, Alfonso J. López Rivero

“…This systematic review presents a critical analysis of advanced machine learning (ML) and deep learning (DL) approaches for predicting the remaining useful life (RUL) of electric vehicle (EV) batteries. …”
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Design of an Improved Model for Smart Grid Pricing Using ST-GNN-PNet and MAD-RL-StackelNet by Jalit S. A., Warkad S. B., Rane P. R., Bonde S. V.

“…However, current pricing models fail to capture spatio-temporal load behavior, consumer heterogeneity, and externalities like emissions. Privacy constraints also hinder granular data collection, causing revenue loss. …”
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Distance caregiving using smart home technologies: balancing ethical priorities in family decision-making by only children by Yi Jiao Angelina Tian, Michael Dunn, Silke Schicktanz, Julian Savulescu, Tenzin Wangmo

“…We used the applied thematic analysis methodology to analyze the data. …”
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The Ways of Using Social Media for Health Promotion Among Adolescents: Qualitative Interview and Focus Group Study by Elizabeth Zimmermann, Samuel Tomczyk

“…In addition, 5 individual interviews with boys were carried out to balance gender representation, as boys were less vocal in group settings. Data were analyzed using content analysis with a combined deductive-inductive coding approach in MAXQDA software, achieving high intercoder reliability (Cohen κ=0.93). …”
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Automated Digital Safety Planning Interventions for Young Adults: Qualitative Study Using Online Co-design Methods by Jonah Meyerhoff, Sarah A Popowski, Tanvi Lakhtakia, Emily Tack, Rachel Kornfield, Kaylee P Kruzan, Charles J Krause, Theresa Nguyen, Kevin Rushton, Anthony R Pisani, Madhu Reddy, Kimberly A Van Orden, David C Mohr

“…Young adult participants also shared 3 key technological needs of an automated intervention: (1) transparency about how the intervention functions, the kinds of actions it does and does not take, the limits of confidentiality, and the role of human oversight within the program; (2) strong privacy practices—data security around how content within the intervention and how private data created by the intervention would be maintained and used was extremely important to young adult participants given the sensitive nature of suicide-related data; and (3) usability, convenience, and accessibility were particularly important to participants—this includes having an approachable and engaging message tone, customizable message delivery options (eg, length, number, content focus), and straightforward menu navigation. …”
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Evaluation of the predictors of tooth loss using artificial intelligence-based machine learning approach: A retrospective study by Amit Rajabhau Pawar, Sankari Malaiappan, Pradeep Kumar Yadalam, P R Ganesh

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Robust Color Image Encryption Scheme Based on RSA via DCT by Using an Advanced Logic Design Approach by Khalid Kadhim Jabbar, Fahmi Ghozzi, Ahmed Fakhfakh

“…On the other hand, images are used in many procedures. Therefore, preventing unauthorized access to image data is crucial by encrypting images to protect sensitive data or privacy. …”
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Secure Latency-Aware Task Offloading Using Federated Learning and Zero Trust in Edge Computing for IoMT by Waleed Almuseelem

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Secure and intelligent 5G-enabled remote patient monitoring using ANN and Choquet integral fuzzy VIKOR by Seelammal Chinnaperumal, Muthusamy Periyasamy, Amel Ali Alhussan, Subhash Kannan, Doaa Sami Khafaga, Sekar Kidambi Raju, Marwa M. Eid, El-Sayed M. El-kenawy

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A Denoising Diffusion Probabilistic Model-Based Human Respiration Monitoring Method Using a UWB Radar by Ping Wang, Haoran Liu, Xiusheng Liang, Zhenya Zhang

“…This paper proposes a denoising diffusion probabilistic model (DDPM)-based human respiration monitoring method using an ultra-wideband (UWB) radar, where the localization calculation of the target based on the respiration-motion energy ratio, maximum ratio combining (MRC), and principal component analysis (PCA) are included for data enhancement. …”
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