IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Extensive research studies have been conducted in recent years to exploit the complementarity among multisensor (or multimodal) remote sensing data for prominent applications such as land cover mapping.
Yawogan Jean Eudes Gbodjo +4 more
doaj +1 more source
Self-Distilled Self-supervised Representation Learning
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023 WACV 23, 11 ...
Jiho Jang +5 more
openaire +2 more sources
Feasibility of Batch Reactive Distillation with Equilibrium-Limited Consecutive Reactions in Rectifier, Stripper, or Middle-Vessel Column. [PDF]
, 2011 A general overall feasibility methodology of batch reactive distillation of multireaction systems is developed to study all the possible configurations of batch reactive distillation.
Lelkes, Zoltan +9 more
core +1 more source
Dynamic models for start-up operations of batch distillation columns with experimental validation [PDF]
, 2004 The simulation of batch distillation columns during start-up operations is a very challenging modelling problem because of the complex dynamic behaviour. Only few rigorous models for distillation columns start-up are available in literature and generally
Elgue, Sébastien +5 more
core +1 more source
Practical residue curve map analysis applied to solvent recovery in non-ideal binary mixtures by batch distillation processes [PDF]
, 2006 Batch distillation inherent advantages has initiated recent search for process feasibility rules enabling the separation of azeotropic or difficult zeotropic binary mixtures thanks to the addition of an entrainer.
Joulia, Xavier +6 more
core +1 more source
Self-Distilled Representation Learning for Time Series
CoRR, 2023 Self-supervised learning for time-series data holds potential similar to that recently unleashed in Natural Language Processing and Computer Vision. While most existing works in this area focus on contrastive learning, we propose a conceptually simple yet powerful non-contrastive approach, based on the data2vec self-distillation framework.
Felix Pieper +4 more
openaire +2 more sources
Self-Distillation for Further Pre-training of Transformers
CoRR, 2022 Pre-training a large transformer model on a massive amount of unlabeled data and fine-tuning it on labeled datasets for diverse downstream tasks has proven to be a successful strategy, for a variety of vision and natural language processing tasks. However, direct fine-tuning of the pre-trained model may be suboptimal if there exist large discrepancies ...
Seanie Lee +4 more
openaire +3 more sources
Heterogeneous Extractive Batch Distillation of Chloroform - Methanol – Water : Feasibility and Experiments [PDF]
, 2008 A novel heterogeneous extractive distillation process is considered for separating the azeotropic mixture chloroform – methanol in a batch rectifying column, including for the first time an experimental validation of the process.
Gerbaud, Vincent +2 more
core +1 more source
Preliminary Design of Reactive Distillation Columns [PDF]
, 2005 A procedure that combines feasibility analysis, synthesis and design of reactive distillation columns is introduced. The main interest of this methodology lies on a progressive introduction of the process complexity.
Joulia, Xavier +3 more
core +1 more source
Identification of material and physical features of membrane distillation membranes for high performance desalination [PDF]
, 2010 In this paper, the performances of various membranes were assessed in Direct Contact Membrane Distillation (DCMD) under different feed velocities and inlet temperatures.
Ostarcevic, Eddy +7 more
core +1 more source