Results 31 to 40 of about 283 (220)

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

open access: yesAdvanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu   +16 more
wiley   +1 more source

Accelerating firmware vulnerability detection through directed reaching definition analysis

open access: yesICT Express
The Internet of Things (IoT) has transformed industries like smart grids and homes. However, firmware security is a growing concern due to vulnerabilities like command execution and buffer overflows.
Kai Chen   +4 more
doaj   +1 more source

Highly Efficient and Environmentally Stable Radiative Cooling Fabric: Integrating Photoluminescence and Hierarchical Core–Shell Fibers

open access: yesAdvanced Science, EarlyView.
A scalable radiative cooling fabric engineered with a multi‐layer assembly core–shell structure and integrated photoluminescent materials is reported. The fabric exhibits remarkable environmental stability, including UV resistance, mechanical durability, hydrophobicity, stain resistance, thermal stability, and flame retardancy, demonstrating its ...
Hongtao Liu   +8 more
wiley   +1 more source

CraftFuzz: Generating Precise Requests for PHP Web Vulnerability Validation

open access: yesApplied Sciences
Web applications have become a crucial part of modern society’s infrastructure, and vulnerabilities in them can lead to significant social and economic losses.
Jiazhen Zhao   +4 more
doaj   +1 more source

Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning

open access: yesAdvanced Science, EarlyView.
We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng   +5 more
wiley   +1 more source

Effective Seed Scheduling for Directed Fuzzing with Function Call Sequence Complexity Estimation

open access: yesApplied Sciences
Directed grey-box fuzzers focus on testing specific target code. They have been utilized in various security applications, such as reproducing known crashes and identifying vulnerabilities resulting from incomplete patches.
Xi Peng   +4 more
doaj   +1 more source

Triple‐Mode Ferroelectric Thin‐Film Transistor for Hybrid Electrical–Optical Reservoir Computing

open access: yesAdvanced Science, EarlyView.
A triple‐mode ferroelectric thin‐film transistor is developed by integrating Si3N4/HZO/IGZO layers to realize three independent memory modes: electric long‐term, electric short‐term, and optical short‐term. This single‐device architecture functions as both a reservoir and readout layer, achieving 92.43% MNIST accuracy. It offers a fully hardware‐based,
Hyeonho Lee   +9 more
wiley   +1 more source

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

open access: yesAdvanced Science, EarlyView.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source

PathFuzzer: Sensitive Information Flow Path-Guided Fuzzing for Intent Vulnerabilities in Android Applications

open access: yesIET Information Security
Intent vulnerabilities pose a significant threat as they allow attackers to exploit unverified intent messages, leading to sensitive data leaks, privilege escalations, or unauthorized actions that compromise user privacy and system security.
Zhanhui Yuan   +4 more
doaj   +1 more source

DAG-Guided Active Fuzzing: A Deterministic Approach to Detecting Race Conditions in Distributed Cloud Systems

open access: yesApplied Sciences
The rapid expansion of distributed cloud platforms introduces critical security challenges, specifically non-deterministic race conditions like Time-of-Check to Time-of-Use (TOCTOU) vulnerabilities.
Hongyi Zhao   +3 more
doaj   +1 more source

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