A Fuzzy-Based Model to Detect Hotspots of Air Pollutants During Heatwaves in Urban Settlements. [PDF]
Cardone B +3 more
europepmc +1 more source
POWER: Performance Optimization With Evaluated Results for HEV Battery Selection via MCDM‐TOPSIS
ABSTRACT The increasing transportation demands and environmental concerns in India necessitate the selection of optimal battery technologies for hybrid electric vehicles (HEVs). As the fifth‐largest car market globally, India faces rising vehicle demand, while the transportation sector remains a major contributor to air pollution.
Rinku Kumar Roy +5 more
wiley +1 more source
Decision-making algorithm with complex hesitant fuzzy partitioned maclaurin symmetric mean aggregation operators and SWARA method. [PDF]
Ali J, Syam MI, Al-Kenani AN.
europepmc +1 more source
A Scoping Review and Bibliometric Analysis on Smart Firefighting in Buildings and Infrastructures
ABSTRACT Smart Firefighting is a concept that has emerged within the fire engineering and fire science disciplines in recent years. It can enable informed decision making and improved fire safety. However, its scope, definition, outcomes, and value to emergency management remain unclear. To investigate this, a scoping review and a bibliometric analysis
José Antonio Morales Mere +2 more
wiley +1 more source
LPGGNet: Learning from Local-Partition-Global Graph Representations for Motor Imagery EEG Recognition. [PDF]
Zhang N, Jian H, Li X, Jiang G, Tang X.
europepmc +1 more source
ABSTRACT Heat induced delamination (HID) is a phenomenon in engineered wood products which may result in the detachment of the bonded timber lamellae before charring propagates to the bond line interphase. This study aims to correlate the thermal degradation of two 1‐c‐polyurethane adhesives at the microscale to the thermo‐hydro‐mechanical behaviour of
A. Čolić +4 more
wiley +1 more source
Overlapping community detection based on bridging structural features and fuzzy C-means. [PDF]
Wang A, Li M, Gao X, Li B, Su Z.
europepmc +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
Enhancing DBSCAN clustering with fuzzy system to improve IoT-based WBAN performance. [PDF]
Hosseinzadeh M +6 more
europepmc +1 more source

