Results 51 to 60 of about 3,496 (169)

Personalisation‐Privacy Paradox: Systematic Review and Survey Evidence on Personal Data Stores

Expert Systems, Volume 43, Issue 7, July 2026.
ABSTRACT The personalisation–privacy paradox captures the tension between using personal data for personalised services and respecting individuals' privacy. This study adopts a holistic research framework to clarify the paradox's core challenges, review existing approaches, and examine a user‐centric solution.
Ming‐Wei Hsu, Glenn Parry, Irene Ng
wiley   +1 more source

The Wire Is Not the Territory: Understanding Representational Drift in Olfaction With Dynamical Systems Theory

Topics in Cognitive Science, Volume 18, Issue 3, July 2026.
Abstract Representational drift is a phenomenon of increasing interest in the cognitive and neural sciences. While investigations are ongoing for other sensory cortices, recent research has demonstrated the pervasiveness in which it occurs in the piriform cortex for olfaction.
Ann‐Sophie Barwich, Gabriel J. Severino   +1 more
wiley   +1 more source

Multi-identity Fully Homomorphic Encryption Scheme Supporting Threshold Decryption

工程科学与技术, 2019
In order to solve the problem that traditional identity-based fully homomorphic encryption schemes can only perform homomorphic operations and access control on ciphertexts under the same identity, a multi-identity fully homomorphic encryption scheme was
Xiaoyuan YANG, Guangsheng TU, Yongjun KONG, Tanping ZHOU   +3 more
doaj  

Shift-Type Homomorphic Encryption and Its Application to Fully Homomorphic Encryption

, 2012
This work addresses the characterization of homomorphic encryption schemes both in terms of security and design. In particular, we are interested in currently existing fully homomorphic encryption (FHE) schemes and their common structures and security.
Armknecht, Frederik, Katzenbeisser, Stefan, Peter, Andreas   +2 more
openaire   +3 more sources

Machine Learning‐Driven Prediction of Microplastic Aging Processes and Environmental Risk Assessment Across Multi‐Media Systems

Advanced Science, Volume 13, Issue 36, 29 June 2026.
This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu, Xinran Qiu, Xing Li, Tianhuan Yang, Xuetao Guo, Hao Qiu, Peng Zhang   +6 more
wiley   +1 more source

Comparative AI‐Based Framework for Name‐Based Demographic Inference in the Indian Subcontinent

Engineering Reports, Volume 8, Issue 6, June 2026.
A multi‐task framework of five AI models (SVM, XGBoost, LightGBM, BiLSTM, and XLM‐RoBERTa) infers nationality, religion, and gender from personal names across seven Indian subcontinent countries. Character‐level TF‐IDF with SVM achieves the highest accuracy: 83.23% for nationality, 92.94% for religion, and 92.67% for gender across 7581 names.
Sherin Sultana, Zaed Bin Monir Atib, Md. Omur Faruk Redoy, Md. Ataur Rahman, Mohammad Shorif Uddin, Md. Tarek Habib   +5 more
wiley   +1 more source

Radiomics: Current Applications and Future Directions

MedComm, Volume 7, Issue 6, June 2026.
Radiomics enables high‐throughput extraction of quantitative imaging features to decode tumor phenotypes across solid tumors. This panoramic review summarizes its technical pipeline, standardization strategies, pan‐cancer clinical applications, and translational bottlenecks.
Jiangbo Shao, Meng Wei, Ke Li, Guangchao Lv, Kai Liu, Ye Guo   +5 more
wiley   +1 more source

Dynamic Pipeline Scheduling for Hybrid Edge Collaboration in Multi‐Modal LLM Inference

Artificial Intelligence for Engineering, Volume 2, Issue 2, Page 180-194, June 2026.
A hybrid edge‐collaboration paradigm is proposed that combines in‐device NPU/DLA–GPU co‐inference with across‐device model‐parallel pipelines to accelerate Multi‐modal Large Language Model inference. A UCB‐based dynamic scheduling algorithm maximizes system throughput while meeting latency constraints, achieving significant speedups over single‐device ...
He Li
wiley   +1 more source

Data security for internet plus in public cloud

Dianxin kexue, 2017
“Internet plus” has given birth to many new economic forms and business models,the public cloud faces a serious security challenges.The security of public cloud data was studied and the research ideas were put forward.Firstly,the concept of homomorphic ...
Yongjian WANG, Aibo SONG, Yawei YE, Haibo JIANG   +3 more
doaj   +2 more sources

Secure federated learning via neural cryptography with homomorphic operations

Discover Artificial Intelligence
This study examines neural cryptography with homomorphic operations as an alternative secure aggregation method for federated learning (FL). It proposes a novel neural cryptographic system supporting homomorphic addition on fixed-point encrypted data ...
Espen Sele, Ferhat Ozgur Catak, Jungwon Seo, Murat Kuzlu   +3 more
doaj   +1 more source