Results 81 to 90 of about 186,854 (267)

Privacy Protection of Sensitive Bioinformation Based on Event Cameras

open access: yes中国工程科学
进入大数据时代后,互联网应用和信息服务全面普及,大量的个人敏感生物信息被收集整理,导致隐私泄露风险增加;事件相机作为新型的生物启发式传感器,具有低延迟、高动态、无纹理等特性,可为解决数据端隐私保护问题提供全新的技术途径,也因其光敏工作原理而适用于家庭监控等私人场景。本文从大数据时代的隐私泄露问题、事件相机在隐私保护中的优势两方面,深入分析了事件相机用于隐私保护的研究背景;系统梳理了基于人脸模板的隐私保护、基于去识别的隐私保护、基于点云混沌加密的隐私保护等传统的敏感生物信息隐私保护方法,包括行人重识别 ...
Shen Yanqing   +4 more
doaj   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

open access: yesAdvanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang   +2 more
wiley   +1 more source

Visual Localization Method for Unmanned Aerial Vehicles in Urban Scenes Based on Shape and Spatial Relationship Matching of Buildings

open access: yesRemote Sensing
In urban scenes, buildings are usually dense and exhibit similar shapes. Thus, existing autonomous unmanned aerial vehicle (UAV) localization schemes based on map matching, especially the semantic shape matching (SSM) method, cannot capture the ...
Yu Liu, Jing Bai, Fangde Sun
doaj   +1 more source

A Co-Point Mapping-Based Approach to Drivable Area Detection for Self-Driving Cars

open access: yesEngineering, 2018
The randomness and complexity of urban traffic scenes make it a difficult task for self-driving cars to detect drivable areas. Inspired by human driving behaviors, we propose a novel method of drivable area detection for self-driving cars based on fusing
Ziyi Liu, Siyu Yu, Nanning Zheng
doaj   +1 more source

The application of artificial intelligence in EUS

open access: yesEndoscopic Ultrasound
Abstract Artificial intelligence (AI) is an epoch-making technology, among which the 2 most advanced parts are machine learning and deep learning algorithms that have been further developed by machine learning, and it has been partially applied to assist EUS diagnosis.
Zhang, Deyu   +7 more
openaire   +2 more sources

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

open access: yesAdvanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara   +8 more
wiley   +1 more source

Balancing Accuracy and Efficiency: HWBENet for Water Body Extraction in Complex Rural Landscapes

open access: yesRemote Sensing
The accurate and timely extraction of water bodies from high-resolution remote sensing imagery is vital for environmental monitoring, yet segmenting small, scattered, and irregularly shaped water bodies in complex rural landscapes remains a persistent ...
Pengyu Lei, Jiang Zhang, Jizheng Yi
doaj   +1 more source

Applicable algebra and artificial intelligence [PDF]

open access: yesAnnals of Mathematics and Artificial Intelligence, 2009
Julio Rubio 0001, Werner M. Seiler
openaire   +3 more sources

Toward Knowledge‐Based Workflows: A Semantic Approach to Atomistic Simulations for Mechanical and Thermodynamic Properties

open access: yesAdvanced Engineering Materials, EarlyView.
Knowledge‐based atomistic workflows are presented for mechanical and thermodynamic properties. By coupling modular simulations with ontology‐aligned metadata and provenance, Fe case studies on elastic behavior, defects, thermal properties, and Hall–Petch strengthening reveal how FAIR, queryable, and reusable simulation data can be generated. Mechanical
Abril Azócar Guzmán   +5 more
wiley   +1 more source

Influence of Geometric Design on Mechanical Performance of Auxetic Metastructure

open access: yesAdvanced Engineering Materials, EarlyView.
Strategic geometric reinforcement transforms auxetic performance. This study evaluates 3D‐printed arrowhead metastructures, revealing that a modified design with local ring reinforcement suppresses premature failure to achieve superior energy absorption and structural efficiency.
Muhammad Gulzari   +3 more
wiley   +1 more source

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