Results 301 to 310 of about 1,221,513 (328)
This work introduces a multiplexed imaging platform that integrates nanoplasmonic sensing with fluorescence microscopy for concomitant monitoring of extraspheroid secretions and intraspheroid features over extended periods with spatiotemporal resolution.
Saeid Ansaryan+7 more
wiley +1 more source
Advancing semantic segmentation: Enhanced UNet algorithm with attention mechanism and deformable convolution. [PDF]
Sahragard E, Farsi H, Mohamadzadeh S.
europepmc +1 more source
On the Usability of Reactive Programming APIs: A Mixed Evaluation
ABSTRACT Context Reactive Programming (RP) provides powerful abstractions for managing asynchronous and event‐driven behaviors, but its APIs are often perceived as complex and difficult to use, particularly due to their reliance on functional programming concepts. Objective This study investigates the usability of two prominent JavaScript RP libraries,
Carlos Zimmerle, Kiev Gama
wiley +1 more source
A hybrid attention multi-scale fusion network for real-time semantic segmentation. [PDF]
Ye B, Xue R, Wu Q.
europepmc +1 more source
Abstract Digital technology applications such as three‐dimensional printers offer novel avenues for automating the construction of concrete structures. The process of 3D printing concrete structures involves designing in an office setting and printing on‐site.
Abdulkadir Ozalp, Alper Aldemir
wiley +1 more source
Semantic Segmentation of CT Liver Structures: A Systematic Review of Recent Trends and Bibliometric Analysis : Neural Network-based Methods for Liver Semantic Segmentation. [PDF]
Delmoral JC, R S Tavares JM.
europepmc +1 more source
Distributed AutoML framework for multi‐objective optimization of concrete crack segmentation models
Abstract Monitoring cracks in concrete surfaces is essential for structural safety. While machine vision techniques have received significant interest in this domain, selecting optimal models and tuning hyperparameters remain challenging. This paper proposes a Distributed Automated Machine Learning (AutoML) framework for efficiently designing and ...
Armin Dadras Eslamlou+3 more
wiley +1 more source
ABSTRACT Multi‐purpose large language models (LLMs), a subset of generative artificial intelligence (AI), have recently made significant progress. While expectations for LLMs to assist systems engineering (SE) tasks are paramount; the interdisciplinary and complex nature of systems, along with the need to synthesize deep‐domain knowledge and ...
Taylan G. Topcu+3 more
wiley +1 more source
LDMP-RENet: Reducing intra-class differences for metal surface defect few-shot semantic segmentation. [PDF]
Zhang J, Ding H, Wu Z, Peng M, Liu Y.
europepmc +1 more source
Reinforcement learning (RL) has found applications across diverse domains; however, it grapples with challenges when formulating reward functions and exhibits low exploration efficiency. Recent studies leveraging large language models (LLMs) have made strides in addressing these issues.
Shinya Masadome, Taku Harada
wiley +1 more source