Results 41 to 50 of about 1,896,899 (158)

Transforming the Landscape of Drug Innovation in AI Era: AlphaFold 3 and Beyond

Exploration, EarlyView.
Traditional drug development is time‐consuming and costly, and new tools are urgently needed to improve efficiency. This perspective reviews the considerable potential of AlphaFold 3 as a next‐generation predictive tool for drug discovery, particularly in target identification and validation, hit identification and lead optimization, and personalized ...
Songlin He, Liangbin Zhou, Xiaoshuai Wang, Chenzhong Li, Cheng Jiang, Rocky S. Tuan, Zhong Alan Li   +6 more
wiley   +1 more source

Multimodal artificial intelligence in medical biotechnology: Integrating genomics, imaging, and clinical data for precision therapeutics

Precision Medical Sciences, EarlyView.
Overview of multimodal artificial intelligence (AI) for precision therapeutics. Diverse biomedical data modalities, including multi‐omics, medical imaging, digital pathology, electronic health records, wearable‐device data, and molecular information, are integrated through multimodal AI frameworks incorporating fusion strategies, foundation models ...
Gedion Mengistu Dejen
wiley   +1 more source

Toward Encrypted OPF Across Transmission and Distribution—Prospects and Open Problems of Encrypted Quadratic Programming

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT The increasing integration of distributed energy resources demands enhanced coordination between transmission system operators (TSOs) and distribution system operators (DSOs) to maintain reliable grid operation. Traditional approaches rely on hierarchical or distributed optimization schemes for power flow management, but these methods either ...
Janis Adamek, Philipp Binfet, Maísa Beraldo Bandeira, Timm Faulwasser, Moritz Schulze Darup   +4 more
wiley   +1 more source

A Comprehensive Study of Fully Homomorphic Encryption Schemes

, 2018
This article provides a comprehensive survey of:1. Homomorphic encryption schemes using public key algorithms.2. Fully homomorphic encryption (FHE) schemes.This work can be helpful as a guide to principles, properties of FHE
Mayyada Al Hammoshi (4974263), Majedah Alkharji (4974260), Hang Liu (3694)   +2 more
core   +1 more source

An Integer Fully Homomorphic Encryption Scheme with Shorter Public Key Size [PDF]

Jisuanji gongcheng, 2018
Aiming at the problem that the efficiency of the integer Fully Homomorphic Encryption(FHE) scheme is low and the public key is long,Coron’s public key compression technique is used to encryption algorithm with a quadratic form,a partial homomorphic ...
SUN Nigang,ZHU Haoran,CHEN Xuanren
doaj   +1 more source

Privacy‐Preserving Data‐Driven Distributed MPC for Heterogeneous Nonlinear Multi‐Agent Systems

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Distributed model predictive control (DMPC) is a cornerstone for coordinating multi‐agent systems, yet simultaneously ensuring data privacy, handling unknown nonlinear dynamics, and managing heterogeneous constraints remains an open challenge.
Mahmood Mazare, Hossein Ramezani
wiley   +1 more source

Frequency Shaping for Improving a Trade‐Off Between Control and Privacy Performance: Beyond Differential Privacy

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT In privacy protection of control systems, a trade‐off between control performance and privacy level is often pointed out. Our goal in this paper is to improve this trade‐off by shaping the frequency of noise added for privacy protection when the control objective is to track a reference signal, which is taken as a piece of information whose ...
Rintaro Watanabe, Yu Kawano, Nobutaka Wada, Ming Cao   +3 more
wiley   +1 more source

On Constructing a Fully Homomorphic Encryption

Труды Института системного программирования РАН, 2018
Suggested a new construction for full homomorphic encryption which doesn’t use an extra information on secret key.
A. V. Shokurov, K. V. Sergeev
doaj   +1 more source

Privacy-Preserving Feature Selection with Fully Homomorphic Encryption

Algorithms, 2022
For the feature selection problem, we propose an efficient privacy-preserving algorithm. Let D, F, and C be data, feature, and class sets, respectively, where the feature value x(Fi) and the class label x(C) are given for each x∈D and Fi∈F. For a triple (
Shinji Ono, Jun Takata, Masaharu Kataoka, Tomohiro I, Kilho Shin, Hiroshi Sakamoto   +5 more
doaj   +1 more source

Initial State Privacy of Nonlinear Systems on Riemannian Manifolds

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT In this paper, we investigate initial state privacy protection for discrete‐time nonlinear closed systems. By capturing Riemannian geometric structures inherent in such privacy challenges, we refine the concept of differential privacy through the introduction of an initial state adjacency set based on Riemannian distances.
Le Liu, Yu Kawano, Antai Xie, Ming Cao
wiley   +1 more source