Dynamic Ensemble Selection for EEG Signal Classification in Distributed Data Environments by Małgorzata Przybyła-Kasperek, Jakub Sacewicz

“…This study presents a novel approach to EEG signal classification in distributed environments using dynamic ensemble selection. In scenarios where data dispersion arises due to privacy constraints or decentralized data collection, traditional global modelling is impractical. …”
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Shopping Data for Population Health Surveillance: Opportunities, Challenges, and Future Directions by Alisha Suhag, Romana Burgess, Anya Skatova

“…This paper explores the potential of loyalty card data to strengthen public health surveillance across 4 key behavioral risk domains: diet, alcohol, tobacco, and over-the-counter medication use. …”
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Comprehensive testing of large language models for extraction of structured data in pathology by Bastian Grothey, Jan Odenkirchen, Adnan Brkic, Birgid Schömig-Markiefka, Alexander Quaas, Reinhard Büttner, Yuri Tolkach

“…While recent studies show promise in using advanced language models for structuring pathology data, they primarily rely on proprietary models, raising cost and privacy concerns. …”
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SHARE: An ethical framework for equitable data sharing in Caribbean health research by Michael H. Campbell, Natalie S. Greaves

“…Using the SHARE framework can support regionally relevant and culturally responsive work already underway in the region and further develop capacity for intentional sharing and (re)use of Caribbean health data.…”
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Blockchain and NFT-Based Solution for Genomic Data Management, Sharing, and Monetization by Ahmad Musamih, Khaled Salah, Raja Jayaraman, Samer Ellaham, Mohammed Omar, Ibrar Yaqoob

“…In this paper, we propose a blockchain and NFT-based solution that addresses the challenges of managing, sharing, and monetizing genomic data while preserving privacy using Threshold Cryptography and Fully Homomorphic Encryption (FHE). …”
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A big data analysis algorithm for massive sensor medical images by Sarah A. Alzakari, Nuha Alruwais, Shaymaa Sorour, Shouki A. Ebad, Asma Abbas Hassan Elnour, Ahmed Sayed

“…The smart sensor-based big data analysis recommendation system has significant privacy and security concerns when using sensor medical images for suggestions and monitoring. …”
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Generating and evaluating synthetic data in digital pathology through diffusion models by Matteo Pozzi, Shahryar Noei, Erich Robbi, Luca Cima, Monica Moroni, Enrico Munari, Evelin Torresani, Giuseppe Jurman

“…Abstract Synthetic data is becoming a valuable tool for computational pathologists, aiding in tasks like data augmentation and addressing data scarcity and privacy. …”
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Efficient unpaired data validation and aggregation protocol in industrial Internet of things by MA Rong, FENG Tao

“…Within the context of an IIoT environment based on elliptic curve cryptography, homomorphic encryption was emploied to safeguard data privacy and a verification key management scheme was introduced, facilitating secure and efficient unpaired verification. …”
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Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges by Mohsen Marjani, Fariza Nasaruddin, Abdullah Gani, Ahmad Karim, Ibrahim Abaker Targio Hashem, Aisha Siddiqa, Ibrar Yaqoob

“…However, such data are not useful without analytic power. Numerous big data, IoT, and analytics solutions have enabled people to obtain valuable insight into large data generated by IoT devices. …”
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A Web-Based Application for Smart City Data Analysis and Visualization by Panagiotis Karampakakis, Despoina Ioakeimidou, Periklis Chatzimisios, Konstantinos A. Tsintotas

“…Smart cities are urban areas that use contemporary technology to improve citizens’ overall quality of life. …”
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A COMPREHENSIVE REVIEW OF GENERATIVE ARTIFICIAL INTELLIGENCE APPLICATIONS IN DATA VISUALIZATION by Luong Thi Minh Hue*, Nguyen The Vinh, Nguyen Van Viet, Nguyen Huu Khanh, Nguyen Kim Son, Duong Thuy Huong

“…Using natural language to generate visual representations of data (NL2VIS) is emerging as a promising research direction, driven by the rapid development of Generative AI (GenAI). …”
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PCR and Bio-signature for data confidentiality and integrity in mobile cloud computing by Sreeja Cherillath Sukumaran, Mohammed Misbahuddin

“…Mobile Cloud Computing (MCC) allows users more possibilities to access services conveniently. But data security and privacy issues still act as barriers for adoption to cloud technology when dealing with confidential data. …”
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A Remedy for Heterogeneous Data: Clustered Federated Learning with Gradient Trajectory by Ruiqi Liu, Songcan Yu, Linsi Lan, Junbo Wang, Krishna Kant, Neville Calleja

“…Federated Learning (FL) has recently attracted a lot of attention due to its ability to train a machine learning model using data from multiple clients without divulging their privacy. …”
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Trusted access control mechanism for data with blockchain-assisted attribute encryption by Chang Liu, Dong Wang, Da Li, Shaoyong Guo, Wenjing Li, Xuesong Qiu

“…Ciphertext policy attribute-based encryption (CP-ABE) model is widely used in cloud data sharing scenarios, but there are problems such as privacy leakage of access policy, irrevocability of user or attribute, key escrow, and trust bottleneck. …”
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An Artificial Intelligence Pipeline for Hepatocellular Carcinoma: From Data to Treatment Recommendations by Zhang X, Yang L, Liu C, Yuan X, Zhang Y

“…However, challenges such as data quality, standardization, and privacy remain. …”
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Financial equality through technology: Do perceived risks deter Indian women from sustained use of mobile payment services? by Priyanka Yadav, Abhishek Kumar, Saroj Kumar Mishra, Khyati Kochhar

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Securing the metaverse: Machine learning–based perspectives on risk, trust, and governance by Krishnashree Achuthan, Sasangan Ramanathan, Raghu Raman

“…The rapid expansion of the metaverse presents significant cybersecurity and privacy challenges, requiring structured, data-driven analysis. …”
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C-mixture and multi-constraints based genetic algorithm for collaborative data publishing by Yogesh R. Kulkarni, T. Senthil Murugan

“…In order to apply the proposed privacy measure to privacy preserving data publishing, a new algorithm called, CPGEN is developed using genetic algorithm and multi-objective constraints. …”
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A novel ε-sensitive correlation indistinguishable scheme for publishing location data. by Wang Bin, Zhang Lei, Zhang Guoyin

“…So the published data had to be disposed to protect the privacy. In order to cope with this problem, a number of algorithms based on the strategy of k-anonymity were proposed, but this is not enough for the privacy protection, as the correlation between the sensitive region and the background knowledge can be used to infer the real location. …”
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New frontiers in migration statistics: a narrative review on big data’s role by Ahmad Wali Ahmad Yar, Tuba Bircan

“…However, its use remains largely experimental, with key concerns around data access, representativeness, privacy, and the integration with official statistics. …”
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