Results 41 to 50 of about 113,608 (319)

Study of biomorphological features of tulips (Tulipa L.) in the forcing crop

open access: yesОвощи России, 2020
Relevance. Morphological features of 10 sorts of tulips in the conditions of early-spring forcing explored. An assessment of the influence of tulip bulb preplanting on the rate of plant growth and development as well as final product yield (cut flowers ...
I. N. Voronchikhina   +6 more
doaj   +1 more source

Prospects for the use of selective disintegration as a preparation of plant raw materials for extraction

open access: yesНовые технологии, 2019
The article studies the main aspects of the process of preparation for the extraction of target components from plant materials. The extraction process implies the use of traditional technology using a distillation process, and the extraction process ...
N. V. Sterekhova, Z. A. Meretukov
doaj   +1 more source

Separation of n-hexane - ethyl acetate mixture by azeotropic batch distillation with heterogeneous entrainers [PDF]

open access: yes, 2005
In this article, a systematic study of the separation of the n-hexane - ethyl acetate mixture with an entrainer by heterogeneous azeotropic batch distillation is performed.
Joulia, Xavier   +4 more
core   +1 more source

To Distill or Not to Distill? On the Robustness of Robust Knowledge Distillation

open access: yesProceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Arabic is known to present unique challenges for Automatic Speech Recognition (ASR). On one hand, its rich linguistic diversity and wide range of dialects complicate the development of robust, inclusive models. On the other, current multilingual ASR models are compute-intensive and lack proper comprehensive evaluations. In light of these challenges, we
Abdul Waheed   +2 more
openaire   +2 more sources

Deep learning-based prediction of velocity and temperature distributions in metal foam with hierarchical pore structure

open access: yesGreen Chemical Engineering
Constrained by the substantial computational time required for numerical simulation, a deep learning technique is applied to investigate fluid flow and heat transfer processes in metal foam with a hierarchical pore structure.
Yixiong Lin   +6 more
doaj   +1 more source

ISP Distillation

open access: yesIEEE Open Journal of Signal Processing, 2023
Nowadays, many of the images captured are `observed' by machines only and not by humans, e.g., in autonomous systems. High-level machine vision models, such as object recognition or semantic segmentation, assume images are transformed into some canonical image space by the camera \ans{Image Signal Processor (ISP)}.
Eli Schwartz   +2 more
openaire   +3 more sources

Vapour reactive distillation process for hydrogen production by hi decomposition from hi-i2-h2o solutions [PDF]

open access: yes, 2008
In this contribution, a sequential and hierarchical approach for the feasibility analysis and the preliminary design of reactive distillation columns is extended to systems involving vapour phase chemical reaction and is successfully applied to the HI ...
X. Joulia   +11 more
core   +1 more source

Distillation Operations: Methods, Operational and Design Issues [PDF]

open access: yes, 2023
Distillation is one of the oldest and most common methods for the purification of liquids. It has been used for centuries to concentrate dilute alcoholic beverages and to obtain perfumes from fruits and flowers.
Kiran, Patil
core   +1 more source

The integrated microfluidic photocatalytic planar reactor under continuous operation

open access: yesFrontiers in Chemical Engineering
An integrated microfluidic planar reactor is essential for achieving efficient and enhanced photocatalytic water treatment. Optimization of catalysts is an area of intense study owing to the need to enhance the performances of microreactors.
Xue-hui Ge   +13 more
doaj   +1 more source

Online Distillation with Continual Learning for Cyclic Domain Shifts [PDF]

open access: yes, 2023
peer reviewedIn recent years, online distillation has emerged as a powerful technique for adapting real-time deep neural networks on the fly using a slow, but accurate teacher model.
Houyon, Joachim   +8 more
core   +1 more source

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