Results 181 to 190 of about 43,297 (342)

Evaluation of teaching effect factors based on probabilistic language set. [PDF]

Sci Rep
Song X, Zhang Y, Chang X, Xiao J, Feng X, Zhao Z.   +5 more
europepmc   +1 more source

A Difference-Index Based Ranking Bilinear Programming Approach to Solving Bimatrix Games with Payoffs of Trapezoidal Intuitionistic Fuzzy Numbers [PDF]

, 2013
Deng-Feng Li, Jie Yang
openalex   +1 more source

What is “accuracy”? Rethinking machine learning classifier performance metrics for highly imbalanced, high variance, zero‐inflated species count data

Limnology and Oceanography: Methods, EarlyView.
Abstract Machine learning has opened the door for the automated sorting (classification) of images, holograms and acoustic backscatters of individual plankton, invertebrates, fish and marine mammals. However, this field is complicated by decades of paradoxically promising reports of classifier performance that do not correlate with real‐world uptake of
Bianca M. Owen, James R. Tweedley, Navid R. Moheimani, Chris S. Hallett, Jeffrey J. Cosgrove, Leopold P. O. Silberstein   +5 more
wiley   +1 more source

Evaluating corporate high performance work systems via an intelligent model using complex T spherical fuzzy CoCoSo method. [PDF]

Sci Rep
Liu C.
europepmc   +1 more source

Dynamic Retinal Pathology in Glaucoma Progression Revealed by High‐Resolution Functional Imaging in Vivo

Laser &Photonics Reviews, EarlyView.
In this work, we investigated the dynamic retinal pathology of glaucoma from onset to late stages through longitudinal in vivo high‐resolution imaging in a silicone oil‐induced ocular hypertension (SOHU) glaucoma mouse model. We developed an optimized adaptive optics two‐photon excitation fluorescence microscopy (AO‐TPEFM) technique for morphological ...
Yiming Fu, Pham Binh Minh, Sicong He, Yingzhu He, Zhongya Qin, Ting Xie, Jianan Qu   +6 more
wiley   +1 more source

A multi-dimensional evaluation model for power enterprise procurement performance based on fuzzy analytic hierarchy process and TOPSIS integration. [PDF]

Sci Rep
Zhao H, Song S, Lv X, Bao Y.
europepmc   +1 more source

Yager Index and Ranking for Interval Type-2 Fuzzy Numbers

, 2018
Juan Carlos Figueroa–García, Y. Chalco-Cano, H. Román-Flores   +2 more
openalex   +2 more sources

Computer Vision Analysis for Objective Motor Assessment in Parkinson's Disease: A Retrospective Study

Movement Disorders Clinical Practice, EarlyView.
Abstract Background The Movement Disorder Society‐Unified Parkinson's Disease Rating Scale‐Part III (MDS‐UPDRS‐III) is subjective and insensitive to subtle changes in patients with Parkinson's disease (PD). Computer vision (CV) can extract objective kinematics from routine outpatient videos, potentially augmenting the accuracy of the motor assessment ...
Pasquale Maria Pecoraro, Luca Marsili, Antonio Cannavacciuolo, Kevin R. Duque, Jesus Abanto, Jennifer Sharma, Jennifer Scheler, Heba A. Deraz, Lauren Wingler, Vincenzo Di Lazzaro, Alberto J. Espay, Lazzaro di Biase, Matteo Bologna   +12 more
wiley   +1 more source

Einstein aggregation operators for multicriteria group decision making in uncertain environments using cubic picture fuzzy sets. [PDF]

Sci Rep
Tanoli MNK, Rafique K, Mahmood Z, Abdalla NSE, Popa IL, Kumar A.   +5 more
europepmc   +1 more source

Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery

Med Research, EarlyView.
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu, Sanchit Arora, Dinesh Kumar, Ashish Kumar Agrawal   +3 more
wiley   +1 more source