An Insight on the Timely Diagnosis of Diabetic Retinopathy Using Traditional and AI-Driven Approaches by Malaika Asif, Fasih Ur Rehman, Zoya Rashid, Altaf Hussain, Alina Mirza, Waqar Shahid Qureshi

Get full text

Artificial Intelligence in Education: Analysis and Assessment of Legal Knowledge Using AI Tools by Anvar J. Khurramov, Mavluda A. Axmedshaeva, Fiyuza A. Mukhitdinova, Gulnora A. Xudayberdiyeva, Shahnoza S. Almosova, Makhmud M. Makhamatov, Sherzod R. Khayitov

“…The study examined ethical concerns such as algorithmic bias, transparency, and student privacy, as well as legal dimensions related to consent, data protection, and institutional responsibility. …”
Get full text

OPPORTUNITIES AND RISKS OF USING AI-BASED APPLICATIONS IN RESEARCH:  THE CASE OF UKRAINIAN UNIVERSITIES by Oleksandra Borodiyenko, Iryna Drach, Nataliia Bazeliuk, Olha Petroye, Iryna Reheilo, Oleksandr Bazeliuk, Olena Slobodianiuk

“…However, respondents did not express major concerns regarding ethical issues like data privacy, ghost authorship, or dishonesty and irresponsibility in the use of AI systems. …”
Get full text

Provider Perspectives on the Use of Mental Health Apps, and the BritePath App in Particular, With Adolescents at Risk for Suicidal Behavior: Qualitative Study by Frances Lynch, Julie Cavese, Lucy Fulton, Nancy Vuckovic, David Brent

“…Analyses identified 4 key themes related to mental health apps: (1) almost all providers viewed mental health apps as an adjunct to, rather than a replacement for, psychotherapy visits; (2) most providers were concerned about the cost of apps and youth access to them; (3) providers noted the challenge of maintaining patient engagement with apps over time; and (4) providers were concerned about patient privacy, in terms of both data shared with app developers and data privacy within families. …”
Get full text

Can open source large language models be used for tumor documentation in Germany?—An evaluation on urological doctors’ notes by Stefan Lenz, Arsenij Ustjanzew, Marco Jeray, Meike Ressing, Torsten Panholzer

Get full text

AI-Driven Leadership in Educational Policy: A Systematic Literature Review by Dean Collin Langeveldt

“…It highlights the role of Artificial Intelligence (AI) in making data-driven decisions easier. Policymakers can use AI to improve resources, curriculum, and policy choices. …”
Get full text

Research on insider threat detection based on personalized federated learning and behavior log analysis by Xiaoyun Ye, Faqin Luo, Huangrongbin Cui, Jinlong Wang, Xiaoyun Xiong, Wencui Zhang, Jiawei Yu, Wenhao Zhao

“…Drawing on the DeepInsight concept, we convert different data types into image formats for use with Convolutional Neural Networks (CNNs) to train insider threat detection models. …”
Get full text

FedDB: A Federated Learning Approach Using DBSCAN for DDoS Attack Detection by Yi-Chen Lee, Wei-Che Chien, Yao-Chung Chang

Get full text

Decentralized Infrastructure for Digital Notarizing, Signing, and Sharing Documents Securely Using Microservices and Blockchain by Irimia Cosmin-Iulian, Iftene Adrian

Get full text

Leveraging dual‐blockchain collaboration for logistics supply chain supervision by Licheng Lin, Senshan Pan, Pujie Jing, Xiangmei Song

“…Current blockchain‐based LSC features distributed structure and data privacy requirements, hindering the supervision of logistics transactions. …”
Get full text

Controlled quantum authentication confidential communication protocol for smart healthcare by Yefeng He, Jiaqiang Fan, Yichi Zhang

“…In this process, it is essential to ensure the legal identity of both parties to the communication and to protect patient privacy data from unlawful interception and tampering. …”
Get full text

Diabetes: Non-Invasive Blood Glucose Monitoring Using Federated Learning with Biosensor Signals by Narmatha Chellamani, Saleh Ali Albelwi, Manimurugan Shanmuganathan, Palanisamy Amirthalingam, Anand Paul

“…To address these challenges, this study proposes a federated learning (FL)-based solution that enables multiple healthcare organizations to collaboratively train a global model without sharing raw patient data, thereby enhancing model performance while ensuring data privacy and security. …”
Get full text

A scoping review by I Gusti Ayu Tirtayani, I Made Wardana, Putu Yudi Setiawan, I Gst. Ngr. Jaya Agung Widagda K

“…However, challenges such as data privacy concerns, algorithmic biases, and the need for greater transparency are also noted. …”
Get full text

TraceTogether contact tracing: a Smart Nation innovation by Michael Motet Hansen, Bharat Dahiya

“…While the TraceTogether app demonstrated efficient crisis response, challenges remain regarding data privacy, digital divide, and long-term scalability. …”
Get full text

BLE Signal Processing and Machine Learning for Indoor Behavior Classification by Yi-Shiun Lee, Yong-Yi Fanjiang, Chi-Huang Hung, Yung-Shiang Huang

“…This study proposes a Bluetooth Low Energy (BLE)-enabled indoor positioning and behavior recognition system, integrating machine learning techniques to support sustainable and privacy-preserving health monitoring. Key optimizations include: (1) a vertically mounted Data Collection Unit (DCU) for improved height positioning, (2) synchronized data collection to reduce discrepancies, (3) Kalman filtering to smooth RSSI signals, and (4) AI-based RSSI analysis for enhanced behavior recognition. …”
Get full text

Mitigating Sinkhole Attacks in MANET Routing Protocols using Federated Learning HDBNCNN Algorithm by Sherril Sophie Maria Vincent

Get full text

Utilizing Artificial neural networks (ANN) to regulate Smart cities for sustainable Urban Development and Safeguarding Citizen rights by Zhen Kuang, Junyu Su, Ahmad Latifian, Sanli Eshraghi, Alireza Ghafari

“…However, as cities become increasingly interconnected and data-dependent, concerns related to data privacy and security, as well as citizen participation and representation, have surfaced. …”
Get full text

Lithium-Ion Battery State of Health Degradation Prediction Using Deep Learning Approaches by Talal Alharbi, Muhammad Umair, Abdulelah Alharbi

“…Traditional centralized deep learning models have shown promising results, but they raise concerns related to data privacy, as data needed to be collected and trained on a single node. …”
Get full text

Semiotic Analysis of the Advertisement “iPhone 15 Face ID” Using Peirce’s Theory by Fairuz Khalisha, R. Myrna Nur Sakinah, Andang Saehu

“…This research aimed at analyzing how Apple’s Face ID technology is represented in the advertisement “iPhone 15 Face ID” using Charles Sanders Peirce’s semiotic theory. This study highlights how Peirce’s semiotic elements—icon, index, and symbol—are employed to emphasize privacy, personalization, and innovation in the iPhone 15 advertisement. …”
Get full text

Secure gray image sharing framework with adaptive key generation using image digest by C. Nithya, C. Lakshmi, K. Thenmozhi, M. V. Harshavardhan, R. Kumaran, Padmapriya Velupillai Meikandan, Hemalatha Mahalingam, Rengarajan Amirtharajan

“…Abstract In the constantly changing digital age where instant information sharing is shared globally, the content’s safe delivery and privacy management have become necessary. Mainly, information in multimedia data becomes massive in networks, and sharing such data becomes vital and vulnerable. …”
Get full text