Enhanced classification prostate cancer based on generative adversarial networks and integrated deep learning with vision transformer models. [PDF]
Salama WM, Aly MH.
europepmc +1 more source
Integrating multimodal data and machine learning for entrepreneurship research
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley +1 more source
Backdoor Training Paradigm in Generative Adversarial Networks. [PDF]
Wang H, Cheng F.
europepmc +1 more source
Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning
Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo +2 more
wiley +1 more source
Synthetic Orthopantomography Image Generation Using Generative Adversarial Networks for Data Augmentation. [PDF]
Waqas M +5 more
europepmc +1 more source
Organizing across cognitive asymmetry in human–AI collaboration: A study of perfume creation
Abstract Research Summary As organizations increasingly adopt generative AI (GenAI), they face a strategic challenge: not only deciding which tasks AI should perform, but also how to organize the integration of human and AI efforts to produce viable solutions.
Tomoko Yokoi +3 more
wiley +1 more source
Generative adversarial networks: multiparametric, multiregion super-resolution MRI in predicting lymph node metastasis in rectal cancer. [PDF]
Wu Y +7 more
europepmc +1 more source
Physical Unclonable Function Based on 3D‐NAND Flash Array Structure With Multi‐Chip Implementation
Physical unclonable function (PUF) based on a 3D‐NAND flash array is proposed, featuring a multi‐chip structure and a massive challenge–response pair (CRP) capacity. The presented utilizes intrinsic string current variations experimentally verified across eight fabricated 48 × 24 NAND flash arrays.
Hwiho Hwang +4 more
wiley +1 more source
Principal component conditional generative adversarial networks for imbalanced ECG classification enhancement. [PDF]
Tang C.
europepmc +1 more source
Geometry‐Encoded Programmable Mechanics in Single‐Material Dual‐Phase Metamaterials
Inspired by the unique soft‐hard heterogeneous architecture of nacre, this study proposes a novel class of dual‐phase (DP) metamaterials. The DP metamaterials exhibit programmable nonlinear mechanical responses, tailored failure processes, and enhanced energy absorption by systematically varying the spatial coding patterns of soft‐hard unit cells ...
Miao Zhao +6 more
wiley +1 more source

