Structural, optical and photoluminescence properties of K0.5Na0.5NbO3 ceramics synthesized by sol–gel reaction method
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Sol-Gel Science and Technology"
DOI: 10.1007/s10971-018-4791-y
Abstract: AbstractPotassium sodium niobate (KNN) ceramics have been prepared by sol–gel route. The effect of conventional sintering on its optical and photoluminescence properties has been studied. Optical measurements were done by reflectance measurements of the ceramics… read more here.
Keywords: temperature; knn; spectroscopy; optical photoluminescence ... See more keywords
Designing high energy storage performance BSZT-KNN ceramics
Sign Up to like & getrecommendations! Published in 2021 at "Ceramics International"
DOI: 10.1016/j.ceramint.2021.04.071
Abstract: Abstract In this paper, relaxor ferroelectric Ba0.8Sr0.2Zr0.9Ti0.1O3–Na0.5K0·5NbO3 (BSZT-KNN) ceramics were achieved by designing microstructures and adding nano-additives. The fine grains (192 nm) and relaxor behaviour of the BSZT-KNN ceramics were enhanced by utilizing the BSZT@KNN powders.… read more here.
Keywords: knn; knn ceramics; energy storage; bszt knn ... See more keywords
A comparative study of four nonlinear dynamic methods and their applications in classification of ship-radiated noise
Sign Up to like & getrecommendations! Published in 2020 at "Defence Technology"
DOI: 10.1016/j.dt.2020.11.011
Abstract: Abstract Refined composite multi-scale dispersion entropy (RCMDE), as a new and effective nonlinear dynamic method, has been applied in the field of medical diagnosis and fault diagnosis. In this paper, we first introduce RCMDE into… read more here.
Keywords: classification; knn; multi scale; ship radiated ... See more keywords
Improved optical properties of ion beam irradiated (K,Na)NbO3 thin films
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Alloys and Compounds"
DOI: 10.1016/j.jallcom.2020.153794
Abstract: Abstract In the present study, we have demonstrated the effect of swift heavy ion (SHI) irradiation on photoluminescence (PL) and time-resolved photoluminescence (TRPL) properties of potassium sodium niobate (KNN) thin films deposited on Si and… read more here.
Keywords: irradiation; thin films; knn; ion beam ... See more keywords
A compromise between piezoelectricity and transparency in KNN-based ceramics: the dual functions of Li2O addition
Sign Up to like & getrecommendations! Published in 2020 at "Journal of The European Ceramic Society"
DOI: 10.1016/j.jeurceramsoc.2020.01.029
Abstract: Abstract Transparent ceramics with good electrical performance have recently drawn broad interest as promising multifunctional materials. Here, we report that a superior transmittance (T = 75 % at 2000 nm) and good piezoelectricity (d33 ∼… read more here.
Keywords: knn; piezoelectricity transparency; compromise piezoelectricity; based ceramics ... See more keywords
Investigation of optical non-linearity of lead-free ferroelectric potassium sodium niobate (K0.35Na0.65NbO3) thin films via two-wave mixing phenomenon
Sign Up to like & getrecommendations! Published in 2021 at "Optics and Laser Technology"
DOI: 10.1016/j.optlastec.2021.107148
Abstract: Abstract In the present work, structural, morphological and optical properties of lead- free ferroelectric Potassium Sodium Niobate (K0.35Na0.65NbO3 or KNN) films (~1 µm thin), grown using pulsed laser deposition (PLD) technique at distinct substrate temperature,… read more here.
Keywords: thin films; ferroelectric potassium; probe; knn ... See more keywords
Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction
Sign Up to like & getrecommendations! Published in 2022 at "Scientific Reports"
DOI: 10.1038/s41598-022-10358-x
Abstract: Disease risk prediction is a rising challenge in the medical domain. Researchers have widely used machine learning algorithms to solve this challenge. The k-nearest neighbour (KNN) algorithm is the most frequently used among the wide… read more here.
Keywords: disease prediction; performance; disease; knn ... See more keywords
Short-Term Traffic Forecasting Using Self-Adjusting k-Nearest Neighbours
Sign Up to like & getrecommendations! Published in 2017 at "Iet Intelligent Transport Systems"
DOI: 10.1049/iet-its.2016.0263
Abstract: Short-term traffic forecasting is becoming more important in intelligent transportation systems. The k-nearest neighbour (kNN) method is widely used for short-term traffic forecasting. However, the self-adjustment of kNN parameters has been a problem due to… read more here.
Keywords: traffic; knn; term traffic; traffic forecasting ... See more keywords
Identifying Outliers in Astronomical Images with Unsupervised Machine Learning
Sign Up to like & getrecommendations! Published in 2022 at "Research in Astronomy and Astrophysics"
DOI: 10.1088/1674-4527/ac7386
Abstract: Astronomical outliers, such as unusual, rare or unknown types of astronomical objects or phenomena, constantly lead to the discovery of genuinely unforeseen knowledge in astronomy. More unpredictable outliers will be uncovered in principle with the… read more here.
Keywords: unsupervised machine; machine learning; attcae knn; cae knn ... See more keywords
Coexistence of electric polarization and magnetic ordering in acceptor doped potassium sodium niobate (KNN) ceramics
Sign Up to like & getrecommendations! Published in 2018 at "Materials Research Express"
DOI: 10.1088/2053-1591/aacf28
Abstract: Lead-free single-phase multiferroic K0.5Na0.5Nb1−xFexO3 (x = 0.02, 0.03, 0.04, 0.05) ceramics have been synthesized by solid-state reaction method to explore the simultaneous existence of ferroelectric and magnetic order. X-ray diffraction analysis of the samples confirms… read more here.
Keywords: coexistence electric; knn ceramics; knn; magnetic ordering ... See more keywords
An Integrated Novel Framework for Coping Missing Values Imputation and Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3187412
Abstract: This work presents an integrated framework for imputation of missing values and prediction of class label of unseen samples by using the best features of rule based inductive decision tree (DT) and Support Vector Machine… read more here.
Keywords: integrated novel; svm; knn; novel framework ... See more keywords