Results 201 to 210 of about 651,530 (378)
Some new operations on fuzzy soft sets and their applicationsin decision-making
Ajoy Kanti Das +2 more
openalex +2 more sources
Self‐Sensing Artificial‐Muscle‐Empowered Humanlike Perception, Interaction, and Positioning
The proposed self‐sensorized artificial muscle (SSAM) can sense its length change as small as 0.01 mm via a seamlessly integrated multi‐segment induction coil. The SSAM provides accurate length information regardless of its loadings, driving pressure, or muscle design, adequate for robust data‐driven feedback control.
Houping Wu +6 more
wiley +1 more source
A fuzzy graph theoretic approach to face shape recognition using cubic outerplanar structures. [PDF]
Jaisankar D, Ramalingam S, Zegeye GB.
europepmc +1 more source
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley +1 more source
Evaluating the swimming technique analysis: a multi-criteria decision approach using hesitant bipolar fuzzy with a GRA approach. [PDF]
Li Q, Yin J.
europepmc +1 more source
This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari +6 more
wiley +1 more source
A novel algorithm for model uncertainty reduction in trapezoidal fuzzy fault tree risk assessment. [PDF]
Zhang Y, Zhao L, Zhang T, Li W.
europepmc +1 more source
Bijective Interval-Valued Fuzzy Soft Set with its Operations [PDF]
Ke Гонг, Panpan Wang, Zhi Hui Qi
openalex +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

