Results 201 to 210 of about 7,756 (262)

Salient object detection dataset with adversarial attacks for genetic programming and neural networks. [PDF]

Data Brief
Olague M, Olague G, Pineda R, Ibarra-Vazquez G.   +3 more
europepmc   +1 more source

When Communication Enables Catastrophe: Nuclear Risk and the Short Lifetimes of Technological Civilizations

Risk Analysis, Volume 46, Issue 9, September 2026.
ABSTRACT The Fermi paradox may partly reflect technological self‐destruction acting as a Great Filter during post‐industrial development. Because the empirical record consists of a single civilization observed over an eighty‐year nuclear age, the exercise reported here is best understood as a structured, historically anchored scenario analysis rather ...
Vincenzo Alfano
wiley   +1 more source

Auto encoder-based defense mechanism against popular adversarial attacks in deep learning. [PDF]

PLoS One
Ashraf SN, Siddiqi R, Farooq H.
europepmc   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, Volume 2, Issue 4, August 2026.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Predicting Progression From Mild Cognitive Impairment to Alzheimer's Dementia With Adversarial Attacks. [PDF]

IEEE J Biomed Health Inform
Baytas IM.
europepmc   +1 more source

Ag/Ag2S Nanoparticle‐Based In‐Materio Lightweight Cryptographic System for IoT Edge Security

Advanced Intelligent Systems, Volume 8, Issue 8, August 2026.
This work presents a nanomaterial‐based in materio encryption method that directly transforms analog signals through nonlinear Ag/Ag2S nanoparticle networks. By exploiting the inherently nonuniform characteristics that arise from random arrangement of nanoparticles as a unique security key, the approach produces highly complex encrypted waveforms ...
Hiroki Tabata, Yuma Yamashita, Yusuke Nakaoka, Oradee Srikimkaew, Muzhen Xu, Yuki Usami, Shunsuke Araki, Hirofumi Tanaka   +7 more
wiley   +1 more source

Adversarial Attacks on Intrusion Detection Systems in In-Vehicle Networks of Connected and Autonomous Vehicles. [PDF]

Sensors (Basel)
Aloraini F, Javed A, Rana O.
europepmc   +1 more source

Early identification of vascular cognitive impairment from a multimodal perspective: a combined diagnosis from targeted cognitive assessments, imaging biomarkers, and molecular fluid biomarkers to ecological behavioral characteristics

Alzheimer's &Dementia, Volume 22, Issue 8, August 2026.
Abstract Vascular cognitive impairment (VCI), the second leading cause of dementia, is characterized by heterogeneous pathophysiology and a potentially reversible early phase, underscoring the need for timely identification. This review synthesizes advances across four complementary domains – targeted cognitive assessments, imaging biomarkers ...
Wenqi Song, Xiaoqun Liu, Tianrui Yu, Yuanyuan Xiang, Peijie Fu, Moxin Wu, Xiaoping Yin, Xiaorong Zhang, Zhiying Chen   +8 more
wiley   +1 more source

Deep Learning Framework for Financial Fraud Detection: Systematic Feature Engineering and Comparative Evaluation of Neural Architectures

Engineering Reports, Volume 8, Issue 8, August 2026.
A comprehensive deep learning fraud detection framework combining advanced feature engineering and optimized neural architectures achieves near‐perfect discrimination (ROC‐AUC ≈0.999) and 97.5% fraud detection at 1% false positives, demonstrating strong real‐time deployment potential and substantial economic benefit for financial transaction systems ...
Vahid Azarvand, Parvin Azhdari, Arman Beitollahi   +2 more
wiley   +1 more source

Defense against adversarial attacks: robust and efficient compressed optimized neural networks. [PDF]

Sci Rep
Kraidia I, Ghenai A, Belhaouari SB.
europepmc   +1 more source