Results 51 to 60 of about 4,981 (200)

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

Energy 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, Benjamin A. Shimray, Ingudam Chitrasen Meitei, Khelchandra Thongam, Shuma Adhikari, Anuradha Laishram, Subir Datta, Ahmed Al Mansur, Taha Selim Ustun   +8 more
wiley   +1 more source

𝒌 – Graceful Labeling of Triangular Type Grid Graphs 𝑫𝒏(𝑷𝒎) and 𝑳 – Vertex Union of 𝑫𝒏(𝑷𝒎)

, 2023
W. K. M. Indunil, A. A. I. Perera
openalex   +2 more sources

Coupled Fluid–Structure–Acoustic Analysis of Flow‐Induced Noise Control Using an Elastic Baffle in a Micro Channel

Energy Science &Engineering, EarlyView.
This research explores how fluid flow, structural movement, and sound interact in an elastic baffle system. Using a numerical approach based on the finite element method, the study analyzes how noise and vibrations change with different baffle configurations. The findings reveal that shortening the baffle by half reduces noise transmission by 9%, while
Tohid Adibi, Seyed Esmail Razavi, Shams Forruque Ahmed, Khashayar Fardnia, Aydin Qheydarpoor, Hammad Alotaibi   +5 more
wiley   +1 more source

Design of a Hydroelectronic Solar‐Tracking System for Solar Panels

Energy Science &Engineering, EarlyView.
A prototype of a passive solar‐tracking system utilizing buoyant force based on water level was developed, and its MATLAB/Simulink model was implemented. This study is expected to encourage researchers to design solar‐tracking mechanisms using metals with different thermal expansion coefficients, air, oil, and other fluids. ABSTRACT This study presents
Ufuk Süğürtin, Türker Fedai Çavuş
wiley   +1 more source

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

Energy 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, Nourhan Ramadan, Matti Lehtonen, Mohamed M. F. Darwish   +3 more
wiley   +1 more source

Probabilistic Distributed Algorithm for Uniform Election in Triangular Grid Graphs [PDF]

, 2013
El Mehdi, Ismail Hind, Abdelaaziz El
openalex   +1 more source

Unsteady Flow Behavior and Radial Force Analysis of a Side Channel Pump Under Different Blade Tip Cutting Angles Using Computational Fluid Dynamics

Energy Science &Engineering, EarlyView.
The Radial Force (RF) distribution under different cutting angles is presented in Figure 1. Generally, the distribution of RF displays divergence across different flow conditions. The pattern of force distribution reveals a total of 24 peaks, which corresponds to the number of blades of the impeller of the SCP.
Kofi Asamoah Adu‐Poku, Desmond Appiah, Fan Zhang, Chen Ke   +3 more
wiley   +1 more source

The Air Flow Analysis of Coffee Plantation Based on Crops Planting Pattern of the Triangular Grid and Shackle of Wheel graphs by using a Finite Volume Method [PDF]

, 2017
Dafik Dafik, Muhammad Nurrohim, Arif Fatahillah, Moch. Avel Romanza P, Susanto Susanto   +4 more
openalex   +1 more source

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source

Research progress on the use of the optical coherence tomography system for the diagnosis and treatment of central nervous system tumors

Ibrain, Volume 11, Issue 1, Page 3-18, Spring 2025.
With the advantages of high‐resolution imaging, efficient image acquisition, intraoperative real‐time detection, and radiation‐free and noninvasive characteristics, optical coherence tomography (OCT) provides accurate diagnosis and effective intraoperative guidance for the minimally invasive diagnosis and treatment of central nervous system (CNS ...
Jiuhong Li, Ziba Ayi, Gonggong Lu, Haibo Rao, Feilong Yang, Jing Li, Jiachen Sun, Junlin Lu, Xulin Hu, Si Zhang, Xuhui Hui   +10 more
wiley   +1 more source