Results 161 to 170 of about 161,462 (303)
AI‐based tools enable rapid characterization of bacterial ultrastructure in low‐dose cryogenic transmission electron microscopy. The envelope thickness tool quantifies membrane thickness and anisotropy. The flagella module analyzes filament morphology and detects cell‐flagella contacts.
Sita Sirisha Madugula +10 more
wiley +1 more source
State reliability analysis methods for nonlinear systems integrating adaptive entropy weighted grey relation and Dempster-Shafer's Theory. [PDF]
Gou L, Zhang J, Qi L, Wen L.
europepmc +1 more source
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
wiley +1 more source
Unsupervised machine learning in sleep research: a scoping review. [PDF]
Biedebach L +6 more
europepmc +1 more source
The systematic design of memristor‐based neural network is provided by analog conductance state parameters to accurately emulate the software‐based high‐resolution weight at discrete device level. The requirement of discrete analog conductance of memristor device is measured as ≈50 states with nonlinearity value of ≈0.142 within the deviation range of ...
Jingon Jang, Yoonseok Song, Sungjun Park
wiley +1 more source
A neuro-fuzzy model for evaluating and predicting computational thinking skills of students. [PDF]
Filiz A.
europepmc +1 more source
During lengthy minimally invasive surgeries, fatigue can cause surgeon tremor and poor endoscopic coordination. This study proposes a robot‐assisted endoscopic adjustment system. It employs a lightweight instrument detection model and a hierarchical multiconstraint controller for visual servoing.
Zijie Yang +5 more
wiley +1 more source
An Explainable Fuzzy Framework for Assessing Preeclampsia Classification. [PDF]
Salinas M +6 more
europepmc +1 more source
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
Bridging spatiotemporal wildfire prediction and decision modeling using transformer networks and fuzzy inference systems. [PDF]
Dubey P, Dubey P.
europepmc +1 more source

