Results 61 to 70 of about 1,338 (191)

Several plant self‐incompatibility systems may be controlled by atypical receptor–ligand interactions

The Plant Journal, Volume 126, Issue 1, April 2026.
SUMMARY Self‐incompatibility (SI) is the single most important mechanism utilized by flowering plants to avoid self‐fertilization, thus preventing inbreeding and promoting outcrossing. Many plant SI systems are genetically controlled by a multi‐allelic S‐locus, containing two tightly linked genes that encode the female and male S‐determinants.
Zongcheng Lin, Maurice Bosch, Vernonica E. Franklin‐Tong   +2 more
wiley   +1 more source

Building an Intelligent Cardiovascular System Platform: Embedding Artificial Intelligence across All Facets of Cardiovascular Medicine

Advanced Intelligent Systems, Volume 8, Issue 3, March 2026.
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong, Xingwei Zhao, Qiuting Li, Yang Yu, Chunxiang Zhang   +4 more
wiley   +1 more source

Privacy Protection Optimization in Federated Learning [PDF]

ITM Web of Conferences
Federated learning has emerged as a promising distributed machine learning paradigm that enables collaborative model training while preserving data privacy.
Zhou Xinyi
doaj   +1 more source

Towards Enhancing Healthcare Data Privacy: Integrating BioClinicalBERT With Polyalphabetic Cipher for Entity Recognition and Anonymization

Engineering Reports, Volume 8, Issue 3, March 2026.
This study presents a dual‐layered anonymization model combining BioClinicalBERT and polyalphabetic cipher to accurately identify and protect sensitive healthcare data. It achieves strong F1 scores while maintaining data utility, enabling privacy‐preserving clinical research compliant with GDPR and HIPAA regulations.
Deblina Mazumder Setu, Tania Islam, Md Maklachur Rahman, Samrat Kumar Dey   +3 more
wiley   +1 more source

Smart Waste, Smarter World: Exploring Waste Types, Trends, and Tech‐Driven Valorization Through Artificial Intelligence, Internet of Things, and Blockchain

Sustainable Development, Volume 34, Issue S2, Page 132-153, March 2026.
ABSTRACT Global municipal solid waste generation is projected to exceed 3.8 billion tonnes annually by 2050. This makes the need for smart, inclusive, and scalable waste valorization systems more urgent than ever. This review critically explores the shift from conventional waste management to intelligent, technology‐driven solutions aligned with ...
Segun E. Ibitoye, Amit K. Ball, Raul V. Rodriguez, Olalekan A. Olayemi, Peplluis Esteva, Peter O. Omoniyi, Isaac K. Adegun, Rasheedat M. Mahamood, Esther T. Akinlabi   +8 more
wiley   +1 more source

A survey of optimization techniques for bootstrapping algorithms in FHE

Cybersecurity
Fully Homomorphic Encryption (FHE) enables arbitrary computation on encrypted data without decryption, making it a cornerstone of privacy-preserving outsourcing, such as cloud computing.
Tianyu Li, Zhiwei Wang, Lutan Zhao, Ruida Wang, Qingyun Niu, Xianhui Lu, Dan Meng, Rui Hou   +7 more
doaj   +1 more source

A hybrid approach of homomorphic encryption and differential privacy for privacy preserving classification

International Journal of Applied Mathematics Electronics and Computers, 2020
Privacy preserving data mining is a substantial research area that aims at protecting the privacy of individuals while enabling to perform data mining techniques. In this study, we propose a secure protocol that fulfils the privacy restriction by combining homomorphic encryption with differential privacy and integrate this protocol into Holte’s One ...
Ezgi Zorarpacı, Selma Ayşe Özel
openaire   +3 more sources

A Hybrid Encryption Framework for Secure and Real‐Time Vehicular Communications

SECURITY AND PRIVACY, Volume 9, Issue 2, March/April 2026.
ABSTRACT The rapid expansion of Vehicular Ad Hoc Networks (VANETs) has amplified concerns regarding data security, integrity, and privacy. This paper presents SECURIDE, a Secure Intelligent Data Exchange for Connected Vehicles that provides a comprehensive encryption–decryption framework for safeguarding multimedia data and communication channels in ...
Muhammad Usama, Muhammad Usman Hadi
wiley   +1 more source

Secure and efficient two-party ECDSA signature scheme

Tongxin xuebao, 2021
To solve the easy disclosure of signature private key and excessive concentration of signature rights, a secure and efficient two-party ECDSA signature scheme was proposed for the blockchain based network trading systems.By pre-computing one-time pad ...
Jing WANG, Libing WU, Min LUO, Debiao HE
doaj   +2 more sources

Federated Learning and 5G/6G‐Based Internet of Medical Things (IoMT): Applications, Key Enabling Technologies, Open Issues and Future Research Directions

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
This review examines the integration of federated learning (FL) in the Internet of Medical Things (IoMT), enhanced by 5G/6G technologies, to improve healthcare systems with decentralized data processing, enhanced privacy, reduced latency, and efficient resource utilization, while addressing emerging challenges and future research directions.
Abdul Ahad, Kazi Istiaque Ahmed, Farhan Ullah, Muhammad Aman Sheikh, Mohammad Tahir, Mohammad Hayajneh, Ivan Miguel Pires   +6 more
wiley   +1 more source