Results 241 to 250 of about 39,632 (294)

Correction: Parameter-optimized generative adversarial network framework for synthetic MRI generation: fine-tuning critical variables for enhanced image fidelity. [PDF]

Front Med (Lausanne)
Arockia Selvarathinam ALXR, Anbalagan N, Srinivasu PN, Choi J, Ijaz MF.   +4 more
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

scGACL: a generative adversarial network with multi-scale contrastive learning for accurate single-cell RNA sequencing imputation. [PDF]

Brief Bioinform
Jiang Y, Zhao M, Yan J, Tang J, Guo F.
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

A Multi-Property Optimizing Generative Adversarial Network for de novo Antimicrobial Peptide Design. [PDF]

Adv Sci (Weinh)
Liu J, Cui T, Wang T, Lin L, Zeng X, Lu D, Jiao S, Wang J, Li X, Xiao S, Xie D, Wang X, Wang Y, Shang X, Niu Y, Wei Z, Peng J.   +16 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

Deep atrous context convolution generative adversarial network with corner key point extracted feature for nuts classification. [PDF]

Sci Rep
Devi MS, Jaiganesh M, Priya S, Elakkiya E.   +3 more
europepmc   +1 more source

Conditional Generative Modeling for Enhanced Credit Risk Management in Supply Chain Finance

Naval Research Logistics (NRL), EarlyView.
ABSTRACT The rapid expansion of cross‐border e‐commerce (CBEC) has created significant opportunities for small‐ and medium‐sized sellers, yet financing remains a critical challenge due to their limited credit histories. Third‐party logistics (3PL)‐led supply chain finance (SCF) has emerged as a promising solution, leveraging in‐transit inventory as ...
Qingkai Zhang, L. Jeff Hong, Houmin Yan
wiley   +1 more source

Optimized generative adversarial network for efficient resolution enhancement of 3D segmented rock tomography. [PDF]

Sci Rep
Ugolkov E, He X, Kwak H, Hoteit H.
europepmc   +1 more source

Multi‐Agent Reinforcement Learning for Joint Police Patrol and Dispatch

Naval Research Logistics (NRL), EarlyView.
ABSTRACT Police patrol units need to split their time between performing preventive patrol and being dispatched to serve emergency incidents. In the existing literature, patrol and dispatch decisions are often studied separately. We consider joint optimization of these two decisions to improve police operations efficiency and reduce response time to ...
Matthew Repasky, He Wang, Yao Xie
wiley   +1 more source