Results 251 to 260 of about 5,380,268 (331)

Localized Query Attack Toward Transformer-Based Visible Object Detectors. [PDF]

Sensors (Basel)
Wang Y, Li A, Yang Z, Liu X.
europepmc   +1 more source

Preparing for Tomorrow's Teamwork: Insights From eSports on How Human Expertise Shapes Training Needs for AI‐Integrated Work

Journal of Organizational Behavior, EarlyView.
ABSTRACT As organizations increasingly adopt human‐AI teams (HATs), understanding how to enhance team performance is paramount. A crucially underexplored area for supporting HATs is training, particularly helping human teammates to work with these inorganic counterparts.
Caitlin M. Lancaster, Christopher Flathmann, Jennifer Hsu, Nathan J. McNeese, Thomas A. O'Neill, Eduardo Salas   +5 more
wiley   +1 more source

Toward Adversarial Robustness Network Intrusion Detection Based on Multi-Model Ensemble Approach. [PDF]

Sensors (Basel)
Le TT, Cho J, Shin D, Kim H.
europepmc   +1 more source

Unlocking Value Co‐Creation in IoT Platforms: Insights From a Collaborative Manufacturing Case

Strategic Change, EarlyView.
ABSTRACT This study examines value co‐creation in IoT platform ecosystems through a case study of the collaborative manufacturing platform E‐LINK. We explore the evolution of platform data capabilities, user interactions, value creation, and the mechanisms that connect them.
Huayao Zhang, Junjie Wu, George Lodorfos, Mingyao Sun, Mickaël Naulleau   +4 more
wiley   +1 more source

Threats and vulnerabilities in artificial intelligence and agentic AI models. [PDF]

Front Artif Intell
Radanliev P, Santos O, Maple C.
europepmc   +1 more source

From Real to Artificial: How Profile Image Realism Shapes Warmth, Competence, and Trade Outcomes in Swapping Platforms

Psychology &Marketing, EarlyView.
ABSTRACT This research investigates how value transparency and profile image realism jointly shape consumers' perceptions and trade behavior in Consumer‐to‐Consumer (C2C) swapping platforms. Across three studies, we examine whether realistic profile images enhance perceived warmth and competence, thereby fostering trade intentions under different ...
Sarah (Sa'arah) Alhouti, Louvins Pierre, Xiexin (Leah) Liu   +2 more
wiley   +1 more source

Query-Efficient Hard-Label Attack: A Prior-Guided Adam Ray Search Optimization. [PDF]

Sensors (Basel)
Ding T, Xu X, Xuan Q, Yu H, Ma C.
europepmc   +1 more source

Denoising of ASL Data Using Deep Learning Priors Generated From Distribution Remapping

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop an effective deep learning (DL)–based method to denoise arterial spin labeling (ASL) data. Methods Conventional DL–based ASL denoising methods often suffer from overfitting and poor generalization when training data are limited.
Ziyang Xu, Rong Guo, Ziwen Ke, Yudu Li, Yibo Zhao, Wen Jin, Ruihao Liu, Ziyu Meng, Yao Li, Zhi‐Pei Liang   +9 more
wiley   +1 more source

Large language models perpetuate bias in palliative care: Development and analysis of the Palliative Care Adversarial Dataset (PCAD). [PDF]

PLOS Digit Health
Akhras N, Antaki F, Mottet F, Nguyen O, Sawhney S, Bajwah S, Davies JM.   +6 more
europepmc   +1 more source

Enhancing Rock Strength Prediction and Features Selection by Coupling Well Log Data and Deep Learning Approaches in Reservoir Geomechanics

International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT Accurate rock strength parameters play a vital role in petroleum and mining operations for sustainable drilling activities, and wellbore stability analysis. This study investigates the applicability of deep learning techniques for assessing data‐driven models, and to conduct parametric sensitivity examination for feature attributes ranking to ...
Mohammad Islam Miah, Md. Shakil Rahaman, Travis Wiens   +2 more
wiley   +1 more source