An intelligent conversational agent for querying satellite manoeuvre detections: a case study by Wathsala Karunarathne, David P Shorten, Matthew Roughan

“…Moreover, our system can handle sensitive and confidential data without breaching privacy. This paper presents the results of deploying SatChat in conjunction with a particle filter based manoeuvre detection system.…”
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IoT-driven smart grid monitoring with enhanced energy routing and advanced encryption techniques by K. Perachi, S. Balaji

“…The proposed work incorporates Improved Paillier Homomorphic (IPH) based encryption scheme, which assures integrity and confidentiality of data transmitted. The outcomes of proposed smart grid system using MATLAB and FPGA controller demonstrate significant improvements by providing enhanced security and optimal routing. …”
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Revolutionizing Midwifery Education : A Scoping Review of Artificial Intelligence Methods by Harridhil Silmi, Ari Indra Susanti

“…Despite these advancements, challenges such as ethical concerns (algorithmic bias, privacy issues), poor data quality, limited AI expertise among educators, and resistance to change in traditional learning environments were noted. …”
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DIKWP-Driven Artificial Consciousness for IoT-Enabled Smart Healthcare Systems by Yucong Duan, Zhendong Guo

“…The architecture integrates wearable sensors, edge computing nodes, and cloud services to enable dynamic task orchestration and secure data fusion. For evaluation, a smart healthcare scenario for early anomaly detection (e.g., arrhythmia and fever) was implemented using wearable devices with coordinated edge–cloud analytics. …”
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The Transformative Impact of Artificial Intelligence in Healthcare: Innovations, applications, and future prospects by Shen Ruoyu

“…At the same time, the application of AI in healthcare poses a number of challenges, such as data privacy, algorithmic bias, and ethics. This study also explores the role of AI in global health, the need for policies and regulations, and the long-term impact of AI on future healthcare systems. …”
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Views on the incorporation of Geolocation Devices in Field Trips by Marta Magallón, Cristina Mercader

“…Geolocation in field trips has great potential, but it is an understudied field that needs more research and discussion to ensure data privacy.…”
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Exploring mHealth app utilization for diabetes self-management: survey insights from a northern district in Malaysia by Premaa Supramaniam, Ying-Shan Beh, Suria Junus, Philip Rajan Devesahayam

“…Users perceived the mHealth app as useful (97.5%), yet faced challenges over the app initiation, charges and data security. …”
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An AI-Based Telerehabilitation Solution to Improve Mobility in People With Multiple Sclerosis (the PLATINUMS Project): Protocol for an Implementation and Evaluation Study by Lars Hvid, Susan Coote, Massimiliano Pau, Alon Kalron

“…ResultsFunding for the PLATINUMS project was obtained in February 2024. WP2 data collection began in April 2025 across 4 European sites. …”
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Strengthening ethical oversight in genomics and biobanking: a retrospective analysis of research practices in Zimbabwe by Oppah Kuguyo, Alice Matimba, Florence Mutevedzi, Andrew Chimatira, Vasco Chikwasha, Abigail Kangwende, Lovemore Gwanzura, Paul Ndebele

“…Consent practices varied: 99(49.5%) protocols utilized specific consent, 37(18.5%) employed broad consent, and 37(18.5%) used blanket consent. Notably, 2(1%) protocols did not use consent forms, opting instead for broad or specific notifications. …”
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Blockchain enhanced smart healthcare management for chronic diseases by Shruti Saxena, Shivani Saxena, Nikunj Tahilramani, Panem Charanarur

“…Abstract Chronic diseases affect millions of people worldwide, making it a significant issue for the efficient and secure management of patient data. Most traditional chronic disease management systems fail to manage data in real time and struggle with interoperability and security issues. …”
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Hybrid-CID: Securing IoT with Mongoose Optimization by S. Merlin Sheeba, R. S. Shaji

“…After preprocessing, the Hybrid-CID framework develops a hybrid optimization algorithm to identify the intrusions from the traffic data which ensures data privacy by maintaining the reliability and integrity of IoT deployments. …”
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A Comprehensive Survey of Electric Vehicle Charging Demand Forecasting Techniques by Mamunur Rashid, Tarek Elfouly, Nan Chen

“…Meanwhile, emerging machine learning techniques bring promising prospects, yet exhibit suboptimal performance with insufficient data. Additionally, existing studies often overlook several critical areas such as overcoming data scarcity, security and privacy concerns, managing the inherent stochasticity of demand data, selecting forecasting methods for a specific feature, and developing standardized performance metrics. …”
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A secure and trustworthy blockchain-assisted edge computing architecture for industrial internet of things by Sasikumar Asaithambi, Senthilkumar Nallusamy, Jing Yang, Sunil Prajapat, Gyanendra Kumar, Pramod Singh Rathore

“…This article presents a blockchain-assisted safe data-sharing mechanism that provides security requirements in the industry using IoT. …”
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Analisis Pengaruh Kualitas Layanan Terhadap Kepuasan Pelanggan dan Loyalitas Pengguna Aplikasi Jenius Menggunakan Model E-S- Qual dan E- Recs- QUal (Studi Kasus: Pengguna Aplikasi... by Alfansya Achmad Mulyadi, Satrio Hadi Wijoyo, Hanifah Muslimah Az-Zahra

“…This study involved 100 samples of Jenius application users in Malang City. This research uses purposive sampling as a sampling technique and multiple and simple linear regression analysis as a technique in data analysis. …”
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Home Occupant Archetypes by Marco Antonio ORTIZ SANCHEZ

“…Parallelly, in-depth and semi-structured interviews were conducted, which are techniques used to gather qualitative behavioural data from the home occupants. …”
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A CAE model-based secure deduplication method by Chunbo Wang, Guoying Zhang, Hui Qi, Bin Chen

“…Abstract Cloud storage services are widely used due to their convenience and flexibility. However, the presence of a large amount of duplicate data in the cloud imposes a significant storage burden and increases the risk of privacy breaches. …”
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A Bibliometric Analysis of Publications on Surveillance and New Media Concepts in The Web of Science Database by Anıl Durmuşahmet

“…To this end, a bibliometric analysis based on quantitative data is conducted using the Web of Science (WoS) database as of June 23, 2024. …”
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Mental Health Apps Available in App Stores for Indian Users: Protocol for a Systematic Review by Seema Mehrotra, Ravikesh Tripathi, Pramita Sengupta, Abhishek Karishiddimath, Angelina Francis, Pratiksha Sharma, Paulomi Sudhir, Srikanth TK, Girish N Rao, Rajesh Sagar

“…Additionally, the apps will be reviewed for quality using the Mobile Application Rating Scale. The data analysis and synthesis strategy will incorporate descriptive statistics based on quality evaluation using the Mobile Application Rating Scale and examining the content of the apps for generating descriptive information. …”
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Toward a Domain-Overarching Metadata Schema for Making Health Research Studies FAIR (Findable, Accessible, Interoperable, and Reusable): Development of the NFDI4Health Metadata Sch... by Haitham Abaza, Aliaksandra Shutsko, Sophie A I Klopfenstein, Carina N Vorisek, Carsten Oliver Schmidt, Claudia Brünings-Kuppe, Vera Clemens, Johannes Darms, Sabine Hanß, Timm Intemann, Franziska Jannasch, Elisa Kasbohm, Birte Lindstädt, Matthias Löbe, Katharina Nimptsch, Ute Nöthlings, Marisabel Gonzalez Ocanto, Tracy Bonsu Osei, Ines Perrar, Manuela Peters, Tobias Pischon, Ulrich Sax, Matthias B Schulze, Florian Schwarz, Carolina Schwedhelm, Sylvia Thun, Dagmar Waltemath, Hannes Wünsche, Atinkut A Zeleke, Wolfgang Müller, Martin Golebiewski

“…The National Research Data Infrastructure for Personal Health Data (NFDI4Health) seeks to optimize data sharing among the clinical, epidemiological, and public health research communities while preserving privacy and ethical regulations. …”
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Dynamics of Robo-Advisory Financial Services in Saudi Arabia by Heba Gazzaz

“…The key limitations of adopting Robo-advisory services include algorithmic bias, a lack of trust and transparency, legal and regulatory issues, privacy and data security concerns, and limited financial literacy. …”
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