Results 151 to 160 of about 176,906 (321)
Control Law for Two-Process Flexible Manufacturing Systems Modeled Using Petri Nets
MathematicsThe deadlock control problem in flexible manufacturing systems (FMSs) has received much attention in recent years. The formalism of the Petri net is employed to effectively model, analyze, and control deadlocks in an FMS case study.
Yang Yang +3 more
doaj +1 more source
Advanced Intelligent Systems, EarlyView.The integration of foundation models into computational microscopy revolutionizes biomedical research by enhancing imaging resolution, accelerating data analysis, and enabling real‐time biological interpretation. This systematic review critically examines recent advancements, highlights translational challenges, and discusses the transformative ...
Di Ding +5 more
wiley +1 more source
A Consistent Semantics of Self-adjusting Computation [PDF]
, 2007 Umut A. Acar, M. Blume, Jacob Donham
openalex +1 more source
Improving Long‐Term Glucose Prediction Accuracy with Uncertainty‐Estimated ProbSparse‐Transformer
Advanced Intelligent Systems, EarlyView.Wearable devices collect blood glucose and other physiological data, which serve as inputs to the prediction model. After data embedding, a structure utilizing ProbSparse self‐attention and a one‐step generative head within a Transformer‐based model is introduced, which is concurrently designed for deployment on edge devices, enabling real‐time ...
Wei Huang +5 more
wiley +1 more source
Generative Adversarial Network-Based Lightweight High-Dynamic-Range Image Reconstruction Model
Applied SciencesThe generation of High-Dynamic-Range (HDR) images is essential for capturing details at various brightness levels, but current reconstruction methods, using deep learning techniques, often require significant computational resources, limiting their ...
Gustavo de Souza Ferreti +2 more
doaj +1 more source
Advanced Intelligent Systems, EarlyView.A novel medical image segmentation framework that integrates an enhanced Particle Swarm Optimization (EE‐PSO) into DeepLabV3+ to optimize feature selection. By dynamically identifying key channels in the atrous spatial pyramid pooling module, the method improves segmentation performance, achieving mIoU gains of 2.7% on Alzheimer's and 2.8% on brain ...
Alireza Norouziazad +8 more
wiley +1 more source
Computational semantics in clinical text supplement. [PDF]
Biomed Inform Insights, 2013 Pestian JP.
europepmc +1 more source
Some fundamental algebraic tools for the semantics of computation
, 1984 Joseph A. Goguen, R. M. Burstall
openalex +1 more source
Advanced Intelligent Systems, EarlyView.This article introduces EndoARSS, a novel multitask learning framework that combines surgical activity recognition and semantic segmentation for endoscopic surgery. Utilizing the foundation model with novel modules like task efficient shared low‐rank adapters and spatially aware multiscale attention, EndoARSS can effectively tackle challenges in ...
Guankun Wang +5 more
wiley +1 more source
Stagewise Accelerated Stochastic Gradient Methods for Nonconvex Optimization
MathematicsFor large-scale optimization that covers a wide range of optimization problems encountered frequently in machine learning and deep neural networks, stochastic optimization has become one of the most used methods thanks to its low computational complexity.
Cui Jia, Zhuoxu Cui
doaj +1 more source