Results 211 to 220 of about 5,384,791 (287)

Residual-guided hybrid framework for adversarially robust deep learning-based network intrusion detection. [PDF]

PLoS One
Saha S, Pervaiz MA, Rahman MS, Ahmmed S, Maua J.   +4 more
europepmc   +1 more source

Using art history to explore society's changing connections with agriculture

PLANTS, PEOPLE, PLANET, EarlyView.
Food insecurity is a looming challenge that especially affects those least fortunate. Consumer food choices have a substantial impact on the sustainability of current food systems. Here, we use art as a lens through which to consider our contemporary and historical relationship to one of the world's most crucial crops, the potato, in the context of the
Edward F. Hill‐King, Martin R. McAinsh, Michael R. Roberts   +2 more
wiley   +1 more source

AER-DCWGAN: Adversarial Encoder-Regularized Dual-Conditional Wasserstein GAN for Imbalanced Network Intrusion Detection. [PDF]

Sensors (Basel)
Wang M, Yang Y, Gao M, Yuan J.
europepmc   +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

From Pixel Modification to Generative Synthesis: A Survey of Deep Learning for Image Data Hiding. [PDF]

J Imaging
Janok M, Forgáč R, Hluchý L.
europepmc   +1 more source

Automatic insect identification, counting, and monitoring techniques: a review

Pest Management Science, EarlyView.
Automated insect monitoring increasingly integrates optical, acoustic, infrared, radar, electrostatic, and biosensing technologies with artificial intelligence. No single approach is universally optimal; reliable deployment depends on task‐specific validation, representative datasets, robustness under field conditions, energy autonomy, connectivity ...
Mariano González García, Juan Carlos Noguera Polania, Rosana González Combarros, José Ignacio López Sánchez   +3 more
wiley   +1 more source

Privacy-preserving and robust mouse dynamics authentication using hybrid transformer-CNN and federated learning. [PDF]

Front Artif Intell
Sasikumar K, Nagarajan S.
europepmc   +1 more source

Beyond Initial Adoption: How Lean Six Sigma Is Sustained, Adapted, and Used in the U.S. Textile and Apparel Industry

Quality and Reliability Engineering International, EarlyView.
ABSTRACT This study examines how Lean Six Sigma (LSS) currently functions in the U.S. textile and apparel industry after years of adoption and use. Moving beyond isolated project‐level evidence, this study investigates whether LSS has been implemented as an organizational capability and integrated into the corporate culture, adapted to textile‐specific
Alireza Vahedi Fakhr, A. Blanton Godfrey, Warren J. Jasper   +2 more
wiley   +1 more source

Artificial intelligence in lumbar radiography: bridging deep learning and clinical practice in low-resource environments. [PDF]

BMJ Health Care Inform
Wang YL, Huang S, Lee KC, Cheng CM.
europepmc   +1 more source

Neural Network‐Based Runtime Monitoring and Control for Unknown Nonlinear Systems

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Real‐time system monitoring and stabilization become especially challenging when the system dynamics are unknown. This article introduces a novel design for monitoring and stabilizing unknown nonlinear systems with measurement noise. The design utilizes a generic modelling framework by decomposing the system into a known tunable linear ...
Jianglin Lan, Xianxian Zhao, Ron Patton
wiley   +1 more source