Results 51 to 60 of about 116,535 (291)
Image_4_Potassium deficiency diagnosis method of apple leaves based on MLR-LDA-SVM.jpeg
, 2023 IntroductionAt present, machine learning and image processing technology are widely used in plant disease diagnosis. In order to address the challenges of subjectivity, cost, and timeliness associated with traditional methods of diagnosing potassium ...
Jing Wang (6206297) +7 more
core +1 more source
Investigating the Low‐Temperature Phase Stability of the Binary Ta–W System
Advanced Engineering Materials, EarlyView.Atomistic simulations show that the binary Ta–W system forms ordered intermetallic phases, B2‐TaW and D03‐TaW3, as 0 K ground states. Configurational entropy, however, lowers the free energy of the disordered bcc solid solution, which becomes the stable phase above about 400 K.
Klemens Lechner +7 more
wiley +1 more source
Table_1_Potassium deficiency diagnosis method of apple leaves based on MLR-LDA-SVM.xlsx
, 2023 IntroductionAt present, machine learning and image processing technology are widely used in plant disease diagnosis. In order to address the challenges of subjectivity, cost, and timeliness associated with traditional methods of diagnosing potassium ...
Jing Wang (6206297) +7 more
core +1 more source
Advanced Functional Materials, EarlyView.Cell therapies typically rely on cold‐chain logistics and cryopreservation, limiting access and compromising cell quality. Here, a dual‐chamber device separates an oxygen‐supplying chamber from a hyaluronic acid cargo chamber, sustaining oxygen delivery for over 70 h and enabling ambient‐temperature shipment.
Daniel A. Domingo‐Lopez +9 more
wiley +1 more source
Czech Journal of Food Sciences, 2019 Fruit samples were analysed to investigate the suitability of Fourier transform near infrared spectroscopy (FT-NIR) for the rapid discrimination of elderberry genotypes.
Virág Csorba +3 more
doaj +1 more source
A new LDA formulation with covariates
Communications in Statistics - Simulation and Computation, 2023 The Latent Dirichlet Allocation (LDA) model is a popular method for creating mixed-membership clusters. Despite having been originally developed for text analysis, LDA has been used for a wide range of other applications. We propose a new formulation for the LDA model which incorporates covariates.
Gilson Y. Shimizu +2 more
openaire +3 more sources
, 2018 Topic modeling with latent Dirichlet allocation using Gibbs ...
Andreas Grivas +4 more
core +1 more source
“Smelltronics”—From Gas to Smell Sensing
Advanced Materials, EarlyView.The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono +7 more
wiley +1 more source
Entity Profiling to Identify Actor Involvement in Topics of Social Media Content
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2020 The efficiency of using social media affected modern society's nature and communication; they are more interested in talking through social media than meeting in the real world.
Puji Winar Cahyo, Muhammad Habibi
doaj +1 more source
A LDA-Based Social Media Data Mining Framework for Plastic Circular Economy [PDF]
The mass production of plastic waste has caused an urgent worldwide public health crisis. Although government policies and industrial innovation are the driving forces to meet this challenge, trying to understand public attitudes may improve the ...
Kambhampati, Chandrasekhar +5 more
core +1 more source