Results 241 to 250 of about 196,804 (296)

T-Fuzzy Structure on JU-Algebra. [PDF]

open access: yesF1000Res
Hunie Gelaw S, Alaba BA, Taye MA.
europepmc   +1 more source

Operation properties and δ-equalities of complex fuzzy sets

open access: bronze, 2009
Guangquan Zhang   +4 more
openalex   +1 more source

Enhanced Embolic Signal Analysis through Ensemble Deep Learning Techniques Utilizing Transfer Learning and Layer Freezing Strategies

open access: yesAdvanced Intelligent Systems, EarlyView.
A 10‐convolutional neural network ensemble using transfer learning and layer freezing analyzes 400 Doppler‐ultrasound spectrograms to distinguish speckle, artifact, and ESs. Soft and hard voting drive performance to 96.7% accuracy and 96.5% F1, highlighting a practical route for early embolus detection and stroke‐risk mitigation.
M. Ikbal Karadeli   +3 more
wiley   +1 more source

Empowering Biomedical Research with Foundation Models in Computational Microscopy: A Systematic Review

open access: yesAdvanced 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

Quantifying Printing Quality for Printed Electrodes via Deep Learning and Spatial Association: Empowering Process Optimization

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes a method to quantify the printing quality of roll‐to‐roll gravure‐printed electronics by combining deep learning and spatial association analysis. The proposed approach enables real‐time objective evaluation of printing quality, and optimizes process conditions through response surface methodology. It significantly enhances printing
Juhuhn Kim   +6 more
wiley   +1 more source

A Memristive Associative Learning Circuit for Fault‐Tolerant Multi‐Sensor Fusion in Autonomous Vehicles

open access: yesAdvanced Intelligent Systems, EarlyView.
A memristor‐based associative learning circuit is presented for real‐time, fault‐tolerant sensor fusion in autonomous systems. The circuit mimics biological learning to recognize driving scenarios even with missing or degraded sensor inputs. Its low‐power, analog architecture enables robust decision‐making across diverse conditions, offering a ...
Kapil Bhardwaj   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy