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Found 8 papers, 1 papers with code
Explore-Construct-Filter: An Automated Framework for Rich and Reliable API Knowledge Graph Construction
The API Knowledge Graph (API KG) is a structured network that models API entities and their relations, providing essential semantic insights for tasks such as API recommendation, code generation, and API misuse detection.
From Exploration to Revelation: Detecting Dark Patterns in Mobile Apps
While some studies targeted at automated detection, they are constrained to static patterns and still necessitate manual app exploration.
DBF-Net: A Dual-Branch Network with Feature Fusion for Ultrasound Image Segmentation
To address this, we introduce UBBS-Net, a dual-branch deep neural network that learns the relationship between body and boundary for improved segmentation.
FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models
The rapid development of generative AI is a double-edged sword, which not only facilitates content creation but also makes image manipulation easier and more difficult to detect.
SGCE-Font: Skeleton Guided Channel Expansion for Chinese Font Generation
Numerical results show that the mode collapse issue suffered by the known CycleGAN can be effectively alleviated by equipping with the proposed SGCE module, and the CycleGAN equipped with SGCE outperforms the state-of-the-art models in terms of four important evaluation metrics and visualization quality.
Ion-beam-assisted characterization of quinoline-insoluble particles in nuclear graphite
A much higher concentration of QI particles in NBG-18 than IG-110 was characterized and is suggested to be responsible for the smaller maximum dimensional shrinkage of NBG-18 than IG-110 during irradiation.
Applied Physics
MAX Phase Zr2SeC and Its Thermal Conduction Behavior
The elemental diversity is crucial to screen out ternary MAX phases with outstanding properties via tuning of bonding types and strength between constitutive atoms.
Materials Science
Learning to Localize: A 3D CNN Approach to User Positioning in Massive MIMO-OFDM Systems
In this paper, we consider the user positioning problem in the massive multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) system with a uniform planner antenna (UPA) array.
