Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
A MAGDM approach based on dual hesitant Q-rung orthopair fuzzy Dombi norm with Hamy mean operators and its application. [PDF]
Ma X, Wang M, Qin H, Wei Q, Li T.
europepmc +1 more source
Comprehensive Feasibility Study of Solar Power Plants
ABSTRACT The global transition to solar energy is frequently impeded by high project failure rates, largely due to feasibility assessments that emphasize geographic and economic aspects while overlooking critical technical, environmental, and socio‐administrative dimensions.
Seyyed Mohammad Hadi Mohammadi +2 more
wiley +1 more source
A complex circular intuitionistic fuzzy decision framework for evaluating sustainable agriculture strategies under uncertainty. [PDF]
Yu Y.
europepmc +1 more source
Ranking and Similarity Measures of Interval-Valued Pentagonal Fuzzy Numbers
Ajay Minj, T. Pathinathan
openalex +1 more source
Research on Precise Identification of Rock Strength Based on Bolt Drilling Parameters
Drilling detection test platform. ABSTRACT During roadway excavation, the presence of weak interlayers and fractured rock masses significantly affects roof stability. To achieve timely and effective roadway support, it is crucial to identify and predict different rock types based on drilling signals from roof bolters.
Qiang Zhu +4 more
wiley +1 more source
Evaluating Pancreatic Cancer Treatment Strategies Using a Novel Polytopic Fuzzy Tensor Approach. [PDF]
Bilal M +3 more
europepmc +1 more source
A New Approach For Ranking Of Generalized Trapezoidal Fuzzy Numbers
Amit Kumar +3 more
openalex +1 more source
A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets
ABSTRACT This study introduces a realized volatility fuzzy time series (RV‐FTS) model that applies a fuzzy c‐means clustering algorithm to estimate time‐varying c$$ c $$ latent volatility states and their corresponding membership degrees. These memberships are used to construct a fuzzified volatility estimate as a weighted average of cluster centroids.
Shafqat Iqbal, Štefan Lyócsa
wiley +1 more source
Decision theoretic fuzzy modelling for product quality and design evaluation of basketballs using deck of cards strategy. [PDF]
Zhu A.
europepmc +1 more source

