Results 271 to 280 of about 948,152 (383)

A modified fuzzy C-means method for segmenting MR images using non-local information

, 2016
Yuan Feng, Hao Guo, Hongmiao Zhang, Chungang Li, Lining Sun, Sasa Mutic, Songbai Ji, Yanle Hu   +7 more
openalex   +2 more sources

Multimodal Strategy for Efficient Semi‐Transparent Perovskite Solar Cells and Modules with Record Indoor Performance

Advanced Energy Materials, EarlyView.
A multimodal strategy creates efficient semi‐transparent perovskite solar cells with a record 4.29% light utilization efficiency and 22.41% indoor performance. This approach enables the first scalable 30 x 30 cm2 semi‐transparent solar module, highlighting its potential for building‐integrated and indoor photovoltaics.
Siming Huang, Shanyue Hou, Yuting Wang, Yinheng Ren, Yujie Wo, Jingdong Xu, Jinzhao Qin, Galyam Sanfo, Zahra Albu, Kai Qiu, Himal Muwanwella, Iona Hill, Yuelong Huang, Rebecca L. Milot, Xiang Liu, Muhammad Tariq Sajjad, Mojtaba Abdi‐Jalebi   +16 more
wiley   +1 more source

Marker-controlled watershed algorithm and fuzzy C-means clustering machine learning: automated segmentation of glioblastoma from MRI images in a case series. [PDF]

Ann Med Surg (Lond)
Ghaderi S, Mohammadi S, Ghaderi K, Kiasat F, Mohammadi M.   +4 more
europepmc   +1 more source

Possibility Fuzzy C-Means Clustering for Expression Invariant Face Recognition

, 2014
Aruna Bhat
openalex   +1 more source

Climate Change Mitigation in the Dairy Sector: Uncovering Heterogeneity Through Eco‐Efficiency Clubs

Agribusiness, EarlyView.
ABSTRACT Combining climate change goals with economic targets is crucial for the dairy sector, which is a significant contributor to agricultural greenhouse gas (GHG) emissions worldwide. In this paper, we assess economic and climate change implications of dairy production with panel data of Irish dairy farms from 2013 to 2021.
Doris Läpple, Christian Stetter, Cathal Buckley   +2 more
wiley   +1 more source

Hybrid improved fuzzy C-means and watershed segmentation to classify Alzheimer’s using deep learning

Esraa H. Ali, Sawsan Sadek, Zaid F. Makki   +2 more
openalex   +2 more sources

The Role of Actual and Purported Origin in e‐Commerce Wine Pricing: Evidence From Italian and French Names on Labels

Agribusiness, EarlyView.
ABSTRACT The origin of a product, if associated with good quality, can contribute to building a positive collective reputation, leading to a potential price premium. However, it is conceivable that a producer markets a product by evoking symbols, images, words, and values typical of places other than where it was designed or produced, creating a ...
Annalisa Caloffi, Amir Maghssudipour, Gianluca Stefani   +2 more
wiley   +1 more source

SEGMENTASI AREA GIGI MENGGUNAKAN FUZZY C-MEANS

, 2019
Hardian Oktavianto, Izzati Muhimmah, Taufiq Hidayat   +2 more
openalex   +2 more sources

Mapping the Innovation DNA of Agribusiness Firms: A Multi‐Method Analysis of Strategic Capabilities and Performance

Agribusiness, EarlyView.
ABSTRACT Innovation is essential for competitiveness in agribusiness facing dynamic environments. This study examines how market orientation, marketing, relational, and social capabilities influence innovation performance. Using data from 751 Spanish firms and a multi‐method approach that integrates Structural Equation Modeling (PLS‐SEM), Necessary ...
Beatriz Corchuelo Martínez‐Azúa, Alvaro Dias   +1 more
wiley   +1 more source

Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution

Advanced Intelligent Discovery, EarlyView.
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren, Qian Jiang, Xin Jin, Puming Wang, Xing Chu, Shaowen Yao, Shengfa Miao   +6 more
wiley   +1 more source