Results 1 to 10 of about 551 (224)

Generative Adversarial Networks for Intrusion Detection Systems: A Comprehensive Survey of Applications, Challenges, and Research Directions. [PDF]

Arab J Sci Eng
Alauthman M, Aslam N, Al-Qerem A, Aldweesh A, Sureephong P.   +4 more
europepmc   +1 more source

Deep learning-empowered crop breeding: intelligent, efficient and promising. [PDF]

Front Plant Sci, 2023
Wang X, Zeng H, Lin L, Huang Y, Lin H, Que Y.   +5 more
europepmc   +1 more source

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

Bridging domain gaps in agricultural 3D point cloud classification using adversarial domain adaptation. [PDF]

Sci Rep
Fatima Z, Zardari S, Tanveer MH.
europepmc   +1 more source

Whole-genome polymorphisms and relatedness of rice varieties circulating in the Mediterranean market. [PDF]

Sci Rep
Rodrigues HM, Vieira MB, Barros PM, Oliveira MM.   +3 more
europepmc   +1 more source

RAUM-GANs: a multi-layer GAN-enhanced framework for accurate multiple sclerosis lesion segmentation in MRI. [PDF]

Sci Rep
Alsayat A, Mostafa AM, Elmezain M, Alamri M, Alruwaili M, Alkhomsan MN, Alshammeri M, Ezz M, Alharbi S, Mostafa E, Said W.   +10 more
europepmc   +1 more source

Enhancing buckwheat maturity classification with generative adversarial networks for spectroscopy data augmentation. [PDF]

Front Plant Sci
Wang H, Che X, Nan J, Miao Y, Wang Y, Zhang W, Li F, Han J.   +7 more
europepmc   +1 more source

DU-Net-L: an effective and lightweight segmentation model for alfalfa images that integrates the strengths of DeepLabV3+ and U-Net. [PDF]

aBIOTECH
Tian W, Chong K, Zhang J.
europepmc   +1 more source

A machine-learning-powered spectral-dominant multimodal soft wearable system for long-term and early-stage diagnosis of plant stresses. [PDF]

Sci Adv
Jiang Q, Zhao X, Zhao T, Li W, Ye J, Dong X, Wang X, Liu Q, Ding H, Ye Z, Chen X, Wu Z.   +11 more
europepmc   +1 more source

Deep Learning in Precision Agriculture: Artificially Generated VNIR Images Segmentation for Early Postharvest Decay Prediction in Apples. [PDF]

Entropy (Basel), 2023
Stasenko N, Shukhratov I, Savinov M, Shadrin D, Somov A.   +4 more
europepmc   +1 more source