Results 151 to 160 of about 5,285 (267)
Development of a fuzzy comprehensive evaluation system for the effect evaluation of sprint training - based on AHP and entropy weight method. [PDF]
Song P.
europepmc +1 more source
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley +1 more source
Intimate partner violence during lockdown in Tuscany, Italy: Economic or confinement-related shocks? [PDF]
Bettio F, Tavares FF, Ticci E.
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
Using fuzzy logic and mathematical models to predict the financial efficiency of industrial enterprises. [PDF]
Dong Y.
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
Transfer learning with fuzzy decision support for multi-class lung disease classification: performance analysis of pre-trained CNN models. [PDF]
Yadav NL, Singh S, Kumar R, Nishad DK.
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
A neuro-fuzzy model for evaluating and predicting computational thinking skills of students. [PDF]
Filiz A.
europepmc +1 more source
This article proposes NIRGB‐GS, a multimodal 3DGS variant that enables reliable 3D reconstruction and normal‐light novel‐view synthesis for extremely low‐light scenes by fusing paired near‐infrared and noisy RGB captures. High‐SNR near‐infrared modality and modality‐specific appearance encoding together resolve the issues of unstable pose/geometry ...
Chengyun Yang +3 more
wiley +1 more source

