Results 131 to 140 of about 131,919 (331)

Multi‐Dimensional Conductive Nanocomposites for Flexible Electronics

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Multi‐dimensional conductive nanocomposites integrate 0D, 1D, and 2D nanomaterials through spatial structure regulation and interface engineering, achieving “1 + 1 > 2” synergistic effects. By leveraging 0D filling to reduce contact resistance, 1D bridging to construct continuous conductive paths, and 2D supporting to enhance mechanical stability ...
Tianyu Wang   +12 more
wiley   +1 more source

Modeling availability of a multistate geothermal power plants through fuzzy universal generating function

open access: yesDiscover Applied Sciences
A mathematical model for the availability analysis of a Geothermal power plant using the concept of Fuzzy Universal Generating Function (FUGF) is presented. The study aims to quantify the availability of Geothermal power plant (GTPP). It has been done by
Amit Kumar, Pramod Yelam
doaj   +1 more source

Licensed Commoning and the Authoritarian Commons: Governing Participation in China's Community Gardens

open access: yesEnvironmental Policy and Governance, EarlyView.
ABSTRACT China's environmental governance transition combines intensified vertical accountability and performance‐based management with expanding calls for public participation. However, despite growing demand for civic engagement, there remains limited understanding of how participatory environmental initiatives are structured and governed in practice.
Linjun Xie, Mengqi Shao, Gaohan Deng
wiley   +1 more source

Decoding epilepsy's molecular blueprint: Machine learning unravels transcriptomic subtypes and regulatory networks

open access: yesEpilepsia, EarlyView.
Abstract Objective Drug‐resistant epilepsy (DRE) affects approximately one‐third of patients with epilepsy. The molecular heterogeneity underlying DRE remains poorly defined, largely due to limited access to resected brain tissue and substantial genetic diversity.
Yanping Weng   +11 more
wiley   +1 more source

A Direct Method to Compare Bipolar LR Fuzzy Numbers

open access: yesAdvances in Fuzzy Systems, 2018
We propose a new method for ordering bipolar fuzzy numbers. In this method, for comparison of bipolar LR fuzzy numbers, we use an extension of Kerre’s method being used in ordering of unipolar fuzzy numbers.
Reza Ghanbari   +2 more
doaj   +1 more source

Fuzzy interval net present value [PDF]

open access: yes
In this paper we conjugate the operative usability of the net present value with the capability of the fuzzy and the interval approaches to manage uncertainty. Our fuzzy interval net present value can be interpreted, besides the usual present value of an
Marco Corazza, Silvio Giove
core  

Smart Solar Power Site Selection Through a Hybrid Computational Framework of Neuro‐Fuzzy With Genetic Algorithm Optimization

open access: yesEnergy Science &Engineering, EarlyView.
Solar Power plants at various locations a: Pavagada SPP, Karnataka b: Bhadla SPP, Rajasthan c: West Bengal Solar Park ABSTRACT This paper presents a new neuro‐fuzzy multi‐criteria decision‐making (MCDM) framework designed to optimize the selection of solar power plant (SPP) sites across India.
Rajkumari Malemnganbi Devi   +8 more
wiley   +1 more source

Disturbance‐Resilient Voltage/Power‐Quality Management for Islanded Inverters Using Self‐Tuning Type‐3 Fuzzy Controller

open access: yesEnergy Science &Engineering, EarlyView.
An adaptive fuzzy controller using an interval type‐3 fuzzy logic system replaces the SMC switching term to mitigate chattering while preserving global stability for islanded inverters. Simulations show lower THD, greater robustness to disturbances and parameter variations, and improved voltage‐tracking accuracy, with applicability to other uncertain ...
Man‐Wen Tian   +7 more
wiley   +1 more source

Identifying Faults in Power Transformers Based on Machine‐Learning Algorithms Compared With Other Techniques

open access: yesEnergy Science &Engineering, EarlyView.
General framework of ensemble learning technique for transformer fault diagnostics compared with traditional dissolved gas analysis methods. ABSTRACT This paper implemented a comprehensive variety of modern machine‐learning techniques, which were demonstrated to be effective in handling complex tabular data, generating accurate predictions, and ...
Osama E. Gouda   +3 more
wiley   +1 more source

Fault Detection and Classification in Five‐Level Reduced Device Count Multilevel Inverter Using Fuzzy Logic System

open access: yesEnergy Science &Engineering, EarlyView.
A fuzzy logic–based diagnostic framework for a reduced device count multilevel inverter to accurately detect and classify open‐circuit faults. ABSTRACT The reliable performance of multilevel inverters (MLIs) is critical to the advancement of power electronic systems used in renewable energy conversion, microgrid operation, and electric vehicle ...
Niraj Kumar Dewangan   +4 more
wiley   +1 more source

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