Results 121 to 130 of about 9,112 (254)

All-Optical Diffractive Operators for Rapid, Computer-Free Morphological Transformations. [PDF]

Nanophotonics
Sun Y, Wang F, Han J, Qu G, Zhang Z, Wei Y, Yang C, Ruan Q, Wang S, Wei H, Huang C, Guan J, Hu J.   +12 more
europepmc   +1 more source

Differentiable Variable Fonts

Computer Graphics Forum, EarlyView.
Abstract Typography is an essential component of visual communication. Editing and animating text appearance for graphic designs, title sequences, commercials, and logos remain highly skilled tasks requiring detailed, hands‐on efforts from pro artists. Automating these challenging manual workflows requires balancing the competing goals of maintaining a
Kinjal Parikh, Danny M. Kaufman, David I.W. Levin, Alec Jacobson   +3 more
wiley   +1 more source

Lower limb and feet wound image dataset. [PDF]

Data Brief
Nayeem MD, Rifat MSH, Nisita NJ, Islam MM, Rahman MS.   +4 more
europepmc   +1 more source

ReTrace: Interactive Visualizations for Reasoning Traces of Large Reasoning Models

Computer Graphics Forum, EarlyView.
Abstract Recent advances in Large Language Models have led to Large Reasoning Models, which produce step‐by‐step reasoning traces. Such traces may offer insight into how models think, improving explainability and clarifying the underlying process. These traces, however, are often verbose and complex, making them cognitively demanding to comprehend ...
L. Felder, J. Miller, M. Wallinger, S. G. Kobourov, C. Chen   +4 more
wiley   +1 more source

Vision-Language Models for Transmission Line Fault Detection: A New Approach for Grid Reliability and Optimization. [PDF]

J Imaging
Yu R, Mai L, Weng Y, Cui Q, Xu G, Ren P.
europepmc   +1 more source

Multi‐angle, cross‐domain fusion strategy enhances automated insect identification and hierarchical categorization: a case study on assassin bugs (Hemiptera: Reduviidae)

Cladistics, EarlyView.
Abstract Automated insect identification systems hold significant value for biodiversity monitoring, pest management, citizen science initiatives and systematic studies, particularly in an era of declining expertise in insect taxonomy. However, current deep learning approaches often rely on standardized specimen photos from limited‐angles and ...
Xinkai Wang, Huaiyu Liu, Zhuo Chen, Yisheng Zhao, Yingqi Liu, Haoyang Xiong, Yuange Duan, Fang Song, Wanzhi Cai, Xuankun Li, Hu Li   +10 more
wiley   +1 more source

Advanced CNN Deep Learning Model for Diabetic Retinopathy Classification. [PDF]

J Biomed Phys Eng
Sadek NA, Al-Dahan ZT, Rattan SA, Hussein AF, Geraghty B, Kazaili A.   +5 more
europepmc   +1 more source

What Are Computer‐Assisted Methods Achieving in Fine‐Needle Aspiration Cytology of the Pancreas? A Systematic Review and Meta‐Analysis

Cytopathology, EarlyView.
This meta‐analysis demonstrates high diagnostic accuracy of computer‐assisted methods in pancreatic EUS‐FNA cytology (AUC 0.92–0.96) and supports an integrated, cytopathologist‐led workflow in which artificial intelligence functions as an adjunct to diagnostic interpretation and on‐site evaluation (ROSE). Created in BioRender. Mohamed Mirzan, A. (2026)
Al‐Amaan Mohamed Mirzan, Roberto Dina
wiley   +1 more source

Effects of Image Degradation on Deep Neural Network Classification of Scaphoid Fracture Radiographs: Comparison Study of Different Noise Types. [PDF]

JMIR Med Inform
Lin C, Yoon AP, Wang CW, Chao T, Chung KC, Kuo CF.   +5 more
europepmc   +1 more source

A Survey on Content Aware Image Resizing Methods

KSII Transactions on Internet and Information Systems, 2020
Ankit Garg, Ashish Negi
openaire   +1 more source