Results 1 to 10 of about 16,545 (157)

Predicting operative time in robotic ventral hernia repair using machine learning: a retrospective pilot study. [PDF]

Langenbecks Arch Surg
Brucchi F, Gori A, Van Campenhout I, Colpaert J, Boterbergh K, Potvlieghe P, Violante T, Rottoli M, Dionigi G, Muysoms F, Bossche BVD.   +10 more
europepmc   +1 more source

C-ViT: An Improved ViT Model for Multi-Label Classification of Bamboo Chopstick Defects. [PDF]

Sensors (Basel)
Wang W, Peng W, Zeng L, Shen Y, Zhu C, Kuang Y.   +5 more
europepmc   +1 more source

Lightweight Visual Localization of Steel Surface Defects for Autonomous Inspection Robots Based on Improved YOLOv10n. [PDF]

Sensors (Basel)
Tong J, Zhang X, Lu X, Cao H, Yao L, Gao B.   +5 more
europepmc   +1 more source

AI to Identify Strain-Sensitive Regions of the Optic Nerve Head Linked to Functional Loss in Glaucoma. [PDF]

Invest Ophthalmol Vis Sci
Chuangsuwanich T, Nongpiur ME, Braeu FA, Prasad SC, Tun TA, Thiéry A, Perera S, Ho CL, Buist M, Barbastathis G, Aung T, Girard MJA.   +11 more
europepmc   +1 more source

Quantitative Damage Detection and Evolution in Composite Structures Using Digital Image Correlation, Machine Learning, and Peridynamics. [PDF]

Materials (Basel)
Vaitkūnas T, Jasiūnienė E, Griškevičius J, Samaitis V, Griškevičius P.   +4 more
europepmc   +1 more source

Cross-Project Defect Prediction for Ansible Projects

Journal of KIISE
Sungu Lee, Sunjae Kwon, Duksan Ryu, Jongmoon Baik   +3 more
openaire   +1 more source

Analysis of Chip Electronic Components' Typical Yield in Taping Process Based on Virtual Metrology. [PDF]

Sensors (Basel)
Zhang S, Chen L, Fu J, Yang C, Chen G.
europepmc   +1 more source

A nomogram for predicting free flap necrosis in soft tissue reconstruction of lower limbs: a retrospective cohort study. [PDF]

Front Med (Lausanne)
Cheng C, Huang X, Liang H, Jiang Z.
europepmc   +1 more source

In Situ X-Ray Imaging and Machine Learning in Ultrasonic Field-Assisted Laser-Based Additive Manufacturing: A Review. [PDF]

Materials (Basel)
Fu Z, Weng Y, Deng Z, Pan J, Li A, Qin L, Wu G.   +6 more
europepmc   +1 more source

Explainable machine learning model for identifying key risk factors in congenital heart disease prediction using questionnaire data: a retrospective case-control study. [PDF]

BMC Med Inform Decis Mak
Wang Y, Li T, Chen J, Ruan J, Shu Q, Xu W, Li D.   +6 more
europepmc   +1 more source