Papers FLUE
“FLUE” 태그가 달린 논문 17편 · 필터 해제
InspectionV3: Enhancing Tobacco Quality Assessment with Deep Convolutional Neural Networks for Automated Workshop Management
The problems that tobacco workshops encounter include poor curing, inconsistencies in supplies, irregular scheduling, and a lack of oversight, all of which drive up expenses and worse quality. Large quantities make manua…
FLUEManagementSchedulingSpecificityLow carbon optimal scheduling of integrated energy system considering waste heat utilization under the coordinated operation of incineration power plant and P2G
In order to improve energy utilization and reduce carbon emissions, this paper presents a comprehensive energy system economic operation strategy of Incineration power plant Power-to-gas (P2G) with waste heat recovery. F…
FLUESchedulingFLUE: Federated Learning with Un-Encrypted model weights
Federated Learning enables diverse devices to collaboratively train a shared model while keeping training data locally stored, avoiding the need for centralized cloud storage. Despite existing privacy measures, concerns …
Federated LearningFLUEmodelClosed-loop Identification of a MSW Grate Incinerator using Bayesian Optimization for Selecting Model Inputs and Structure
The creation of low-order dynamic models for complex industrial systems is complicated by disturbances and limited sensor accuracy. This work presents a system identification procedure that uses machine learning methods …
Bayesian OptimizationFLUEData-Efficient French Language Modeling with CamemBERTa
Recent advances in NLP have significantly improved the performance of language models on a variety of tasks. While these advances are largely driven by the availability of large amounts of data and computational power, t…
Dependency ParsingFLUELanguage ModelingLanguage Modelling+4WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain
Pre-trained language models have shown impressive performance on a variety of tasks and domains. Previous research on financial language models usually employs a generic training scheme to train standard model architectu…
FLUELanguage ModelingLanguage ModellingCommon human diseases prediction using machine learning based on survey data
In this era, the moment has arrived to move away from disease as the primary emphasis of medical treatment. Although impressive, the multiple techniques that have been developed to detect the diseases. In this time, ther…
FLUEJGLUE: Japanese General Language Understanding Evaluation
To develop high-performance natural language understanding (NLU) models, it is necessary to have a benchmark to evaluate and analyze NLU ability from various perspectives. While the English NLU benchmark, GLUE, has been …
FLUENatural Language UnderstandingTranslationRobust economic MPC of the absorption column in post-combustion carbon capture through zone tracking
Several studies have reported the importance of optimally operating the absorption column in a post-combustion CO2 capture (PCC) plant. It has been demonstrated in our previous work how economic Model Predictive Control …
FLUEModel Predictive ControlDynamic Prediction Model for NOx Emission of SCR System Based on Hybrid Data-driven Algorithms
Aiming at the problem that delay time is difficult to determine and prediction accuracy is low in building prediction model of SCR system, a dynamic modeling scheme based on a hybrid of multiple data-driven algorithms wa…
feature selectionFLUEPredictionTime Series+1Estimation of excess air coefficient on coal combustion processes via gauss model and artificial neural network
It is no doubt that the most important contributing cause of global efficiency of coal fired thermal systems is combustion efficiency. In this study, the relationship between the flame image obtained by a CCD camera and …
FLUEUtilization of the simulated flue gas on the cultivation of Chlorella protothecoides
In recent years, fossil-based fuels have been used to supply the energy needs of the world. Fossil-based fuels induce accumulation of the atmospheric CO2 which causes global warming. One of CO2 source is flue gas emissio…
FLUEBARThez: a Skilled Pretrained French Sequence-to-Sequence Model
Inductive transfer learning has taken the entire NLP field by storm, with models such as BERT and BART setting new state of the art on countless NLU tasks. However, most of the available models and research have been con…
FLUENatural Language UnderstandingOrangeSumSelf-Supervised Learning+2FlauBERT : des mod\`eles de langue contextualis\'es pr\'e-entra\^\in\'es pour le fran\ccais (FlauBERT : Unsupervised Language Model Pre-training for French)
Les mod{\`e}les de langue pr{\'e}-entra{\^\i}n{\'e}s sont d{\'e}sormais indispensables pour obtenir des r{\'e}sultats {\`a} l{'}{\'e}tat-de-l{'}art dans de nombreuses t{\^a}ches du TALN. Tirant avantage de l{'}{\'e}norme…
FLUELanguage ModelingLanguage ModellingFlauBERT: Unsupervised Language Model Pre-training for French
Language models have become a key step to achieve state-of-the art results in many different Natural Language Processing (NLP) tasks. Leveraging the huge amount of unlabeled texts nowadays available, they provide an effi…
FLUELanguage ModelingLanguage Modellingmodel+4Developing an ANFIS PSO Model to Estimate Mercury Emission in Combustion Flue Gases
Accurate prediction of mercury content emitted from fossil fueled power stations is of utmost important for environmental pollution assessment and hazard mitigation. In this paper, mercury content in the output gas of po…
FLUEReal-Time Boiler Control Optimization with Machine Learning
In coal-fired power plants, it is critical to improve the operational efficiency of boilers for sustainability. In this work, we formulate real-time boiler control as an optimization problem that looks for the best distr…
BIG-bench Machine LearningFLUE