Results 251 to 260 of about 341,830 (324)

Effect of Ammonium Polyphosphate/Silicate Content on the Postfire Mechanics of Epoxy Glass‐Fiber Composites Using Facile Chocolate Bar‐Inspired Structures

Fire and Materials, Volume 49, Issue 3, Page 329-346, April 2025.
ABSTRACT This study investigates the postfire mechanical properties of epoxy glass‐fiber reinforced composites (EP GFRCs) using increasing concentrations of ammonium polyphosphate (APP) and inorganic silicate (InSi) to modify the char and fire residue.
Sruthi Sunder, Maria Jauregui Rozo, Sneha Inasu, Dietmar Meinel, Bernhard Schartel, Holger Ruckdäschel   +5 more
wiley   +1 more source

PERANCANGAN GUI MATLAB UNTUK KEAMANAN CITRA RGB MENGGUNAKAN ALGORITMA ACM DAN METODE LSB DALAM BERBAGAI UKURAN

Molina Olivia Odja, Andre Dugarai Sam De Yosep, Samy Y. Doo   +2 more
openalex   +2 more sources

An Experimental Investigation on the Impact of Burner Height and Location on the Characteristics of Externally Venting Flames

Fire and Materials, EarlyView.
ABSTRACT Fire sources in actual compartment fires exhibit a predominantly uneven spatial distribution. In this context, the impact of the height and location of the fire source, as well as the heat release rate (HRR) of the fire, on the thermal characteristics of Externally Venting Flames (EVF) is experimentally investigated.
Dionysios I. Kolaitis, Andrianos E. Koklas   +1 more
wiley   +1 more source

A Survey of Crop Disease Recognition Methods Based on Spectral and RGB Images. [PDF]

J Imaging
Zheng H, Wang H, Dong H, Qian Y.
europepmc   +1 more source

Hyperspectral Imaging Combined With Image Fusion Features and Machine Learning to Discriminate Different Origins, Grades, and Shelf‐Life of Oranges

Food Safety and Health, EarlyView.
This study verified that it is feasible to distinguish oranges of different origins, grades and shelf lives by using hyperspectral technology. It covers spectral, image and graph technologies, as well as machine learning and deep learning models. ABSTRACT This study reports the first application of hyperspectral feature fusion technology combined with ...
Honghui Xiao, Hao Hu, Hanyi Mei, Hao Deng, Yongzhi Zhang, Jing Nie, Hao Wu, Karyne M. Rogers, Yuwei Yuan, Chunlin Li   +9 more
wiley   +1 more source

Introducing OpenTextile-NIR: Near-infrared hyperspectral imaging and photography dataset for optical identification of textiles. [PDF]

Data Brief
Sormunen T, Mahlamäki E, Mäkelä SM, Mäkelä M.   +3 more
europepmc   +1 more source

Human appreciation of flower colours as cultural ecosystem service in grasslands: A methodological approach

Grassland Research, EarlyView.
This literature‐based method estimates human appreciation of flower colours on target grasslands. Step 1: search literature sources (floristic surveys, national floras, web datasets and preference studies). Step 2: flower trait extraction (flower colour and area, flowering period and human colour appreciation scale).
Marco Bianchini, Matteo Francioni, Giulio Tesei, Marina Allegrezza, Paride D'Ottavio   +4 more
wiley   +1 more source

Analysis of a Fiber-Coupled RGB Color Sensor for Luminous Flux Measurement of LEDs. [PDF]

Sensors (Basel)
Turos LZ, Csernáth G.
europepmc   +1 more source

Identifying Venous Insufficiency in Head and Neck Reconstruction Flaps Using Machine Learning and Deep Learning Methods

Head &Neck, EarlyView.
ABSTRACT Background Venous insufficiency is a major cause of flap failure in head and neck reconstruction. AI provides a reliable, convenient solution for early detection. Methods Clinical data and postoperative flap photos of head and neck cancer patients (2018–2024) at our center were retrospectively collected, categorized into normal and venous ...
Yurong He, Jugao Fang, Lizhen Hou, Zufei Li, Shizhi He, Yanming Zhao, Qijia Li, Rongjia Li, Xiaoyu Shi, Jiayi Yang, Qi Zhong   +10 more
wiley   +1 more source

A High‐Capacity and Ultrastable All‐Solid‐State Lithium Battery Made by Coupling Glass‐Ceramic Electrolyte With Glassy Electrode

Interdisciplinary Materials, EarlyView.
This work developed the first “glassy” batteries, which synergistically integrated glass‐ceramic electrolytes with glassy electrodes. These glassy batteries delivered superior electrochemical performance, attributed to the “Structural Affinity Compatibility” mechanism.
Kai Zheng, Zhenjing Jiang, Chengwei Gao, Zhitao Shan, Jiayan Zhang, Lanxiang Chen, Tianci Ren, Yanfei Zhang, Yuanzheng Yue   +8 more
wiley   +1 more source