Results 71 to 80 of about 1,173,800 (295)

Microenvironment Modulation‐Based Nanomaterial‐Loaded Hydrogel Dressings for Diabetic Foot Ulcers: Research Progress and Future Perspectives

open access: yesAdvanced Materials Interfaces, EarlyView.
xx xx. ABSTRACT Diabetic foot ulcer (DFU) is a chronic complication of diabetes, primarily caused by hyperglycemia, peripheral vascular disease, and neuropathy. Characterized by persistent hyperglycemia, impaired perfusion, inflammation, and infection, DFUs pose significant challenges to healing and are associated with high morbidity and amputation ...
Tang Yuqing   +5 more
wiley   +1 more source

The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure

open access: yes, 2018
Many modern machine learning classifiers are shown to be vulnerable to adversarial perturbations of the instances. Despite a massive amount of work focusing on making classifiers robust, the task seems quite challenging.
Diochnos, Dimitrios I.   +2 more
core   +1 more source

Recent Advances on Thermochromic Inks for Security Applications

open access: yesAdvanced Materials Technologies, EarlyView.
Thermochromic security inks have garnered interest in recent years as security elements for authentication, information encryption, and anti‐counterfeiting. This review outlines different types of thermochromic materials, how they have been developed as functional inks, and how advancements in property enhancement, sustainability, and printing ...
Duarte B. Oliveira   +5 more
wiley   +1 more source

Crystal Ball: From Innovative Attacks to Attack Effectiveness Classifier

open access: yesIEEE Access, 2022
Android OS is one of the most popular operating systems worldwide, making it a desirable target for malware attacks. Some of the latest and most important defensive systems are based on machine learning (ML) and cybercriminals continuously search for ...
Harel Berger   +3 more
doaj   +1 more source

Is Deep Learning Safe for Robot Vision? Adversarial Examples against the iCub Humanoid

open access: yes, 2017
Deep neural networks have been widely adopted in recent years, exhibiting impressive performances in several application domains. It has however been shown that they can be fooled by adversarial examples, i.e., images altered by a barely-perceivable ...
Biggio, Battista   +5 more
core   +1 more source

High‐Throughput 3D Matrigel‐based Droplet Microfluidics for Single‐Cell Function‐to‐Omics Analysis of Cytotoxic Immune Cells in Solid Tumor Interactions

open access: yesAdvanced Materials Technologies, EarlyView.
A 3D Matrigel‐based droplet microfluidics platform that allows physiologically relevant analysis of single immune‐tumor interactions in solid tumors. By integrating real‐time functional imaging with fluorescence‐activated droplet sorting and RNA sequencing, the system links immune cytotoxic behavior to transcriptomic profiles, providing a scalable ...
Christina Sharkey   +6 more
wiley   +1 more source

An Improved Approach towards Multi-Agent Pursuit–Evasion Game Decision-Making Using Deep Reinforcement Learning

open access: yesEntropy, 2021
A pursuit–evasion game is a classical maneuver confrontation problem in the multi-agent systems (MASs) domain. An online decision technique based on deep reinforcement learning (DRL) was developed in this paper to address the problem of environment ...
Kaifang Wan   +5 more
doaj   +1 more source

An Evasion Attack against ML-based Phishing URL Detectors

open access: yes, 2020
Background: Over the year, Machine Learning Phishing URL classification (MLPU) systems have gained tremendous popularity to detect phishing URLs proactively. Despite this vogue, the security vulnerabilities of MLPUs remain mostly unknown. Aim: To address
Babar, M. Ali, Gaire, Raj, Sabir, Bushra
core  

Multimodal Actuation and Environment Adaptive Strategies of Bio‐Inspired Micro/Nanorobots in Precision Medicine

open access: yesAdvanced Robotics Research, EarlyView.
An introduction for multidrive and environment‐adaptive micro/nanorobotics: design and fabrication strategies, intelligent actuation, and their applications. Various intelligent actuation approaches—magnetic, acoustic, optical, chemical, and biological—can be synergistically designed to enhance flexibility and adaptive behavior for precision medicine ...
Aiqing Ma   +10 more
wiley   +1 more source

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