Results 171 to 180 of about 128,746 (262)

Data augmentation-based enhanced fingerprint recognition using deep convolutional generative adversarial network and diffusion models [PDF]

Yukai Liu
openalex   +1 more source

Artificial intelligence strategies for predicting kinase inhibitor resistance: A comprehensive review of methods, challenges, and future perspectives

Journal of Intelligent Medicine, EarlyView.
Abstract Kinase inhibitors are essential in targeted cancer therapy, yet resistance often emerges through secondary mutations, activation of compensatory signaling pathways, or drug‐efflux mechanisms. Artificial intelligence (AI) provides a workflow‐based strategy rather than a list of unrelated tools for predicting and addressing kinase‐inhibitor ...
Faris Hassan, Mohanad Ali Deifallah, Alaa Zaghloul, Rania Elgohary   +3 more
wiley   +1 more source

Generative adversarial networks: multiparametric, multiregion super-resolution MRI in predicting lymph node metastasis in rectal cancer. [PDF]

Insights Imaging
Wu Y, Jiang T, Liu H, Shi S, Singh A, Wang Y, Xie J, Li X.   +7 more
europepmc   +1 more source

Forensic sketch-to-photo transformation with improved Generative Adversarial Network (GAN)

Bhargavi Jangam, Ashwin Bharatha, Tagore Lavishetty, Muhammad Rehan   +3 more
openalex   +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

Synthetic Orthopantomography Image Generation Using Generative Adversarial Networks for Data Augmentation. [PDF]

Int Dent J
Waqas M, Hasan S, Ghori AF, Alfaraj A, Faheemuddin M, Khurshid Z.   +5 more
europepmc   +1 more source

Seismic processing prediction with a generative adversarial network

Jaime Andres Collazos Gonzalez
openalex   +1 more source

Generative adversarial networks in medical image reconstruction: A systematic literature review

Jabbar Hussain, Magnus Båth, Jonas Ivarsson   +2 more
openalex   +1 more source

Optical Coherence Tomography for High‐Precision Industrial Inspection in Industry 4.0: Advances, Challenges, and Future Trends

Laser &Photonics Reviews, EarlyView.
This review examines how optical coherence tomography transforms industrial inspection by delivering real‐time, micrometer‐resolution, depth‐resolved imaging. It surveys applications across display manufacturing, thin films, microelectronics, laser processing, and coatings, evaluates performance against conventional techniques, and highlights emerging ...
Nipun Shantha Kahatapitiya, Sm Abu Saleah, Daewoon Seong, Naresh Kumar Ravichandran, Sangyeob Han, Ruchire Eranga Wijesinghe, Mansik Jeon, Jeehyun Kim   +7 more
wiley   +1 more source

Backdoor Training Paradigm in Generative Adversarial Networks. [PDF]

Entropy (Basel)
Wang H, Cheng F.
europepmc   +1 more source