Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Machine Learning, Deep Learning and Statistical Analysis for forecasting building energy consumption—A systematic review
The building sector accounts for 36% of the total global energy usage and 40% of
associated Carbon Dioxide emissions. Therefore, the forecasting of building energy …
associated Carbon Dioxide emissions. Therefore, the forecasting of building energy …
Artificial neural networks for photonic applications—from algorithms to implementation: tutorial
This tutorial–review on applications of artificial neural networks in photonics targets a broad
audience, ranging from optical research and engineering communities to computer science …
audience, ranging from optical research and engineering communities to computer science …
Hyperparameter tuning for machine learning algorithms used for arabic sentiment analysis
Machine learning models are used today to solve problems within a broad span of
disciplines. If the proper hyperparameter tuning of a machine learning classifier is …
disciplines. If the proper hyperparameter tuning of a machine learning classifier is …
BIM-supported automatic energy performance analysis for green building design using explainable machine learning and multi-objective optimization
Supported by the combination of the advanced BIM technique with intelligent algorithms, this
paper develops a systematic framework using explainable machine learning and multi …
paper develops a systematic framework using explainable machine learning and multi …
A novel stacked generalization ensemble-based hybrid LGBM-XGB-MLP model for Short-Term Load Forecasting
This paper proposes an effective computing framework for Short-Term Load Forecasting
(STLF). The proposed technique copes with the stochastic variations of the load demand …
(STLF). The proposed technique copes with the stochastic variations of the load demand …
Advances in solar forecasting: Computer vision with deep learning
Renewable energy forecasting is crucial for integrating variable energy sources into the grid.
It allows power systems to address the intermittency of the energy supply at different …
It allows power systems to address the intermittency of the energy supply at different …
A novel MRI diagnosis method for brain tumor classification based on CNN and Bayesian Optimization
M Ait Amou, K **a, S Kamhi, M Mouhafid - Healthcare, 2022 - mdpi.com
Brain tumor is one of the most aggressive diseases nowadays, resulting in a very short life
span if it is diagnosed at an advanced stage. The treatment planning phase is thus essential …
span if it is diagnosed at an advanced stage. The treatment planning phase is thus essential …
Multi-objective optimization for energy-efficient building design considering urban heat island effects
Building energy performance (BEP) associated with climate change and urban heat island
effects (UHI) play an important role in urban sustainable development. To predict and …
effects (UHI) play an important role in urban sustainable development. To predict and …
[HTML][HTML] The role of machine learning and design of experiments in the advancement of biomaterial and tissue engineering research
Optimisation of tissue engineering (TE) processes requires models that can identify
relationships between the parameters to be optimised and predict structural and …
relationships between the parameters to be optimised and predict structural and …
Multivariate stacked bidirectional long short term memory for lithium-ion battery health management
Prognostics and health management (PHM) will ensure the safe and reliable operation of
the battery systems. The remaining useful life (RUL) prediction as one of the major PHM …
the battery systems. The remaining useful life (RUL) prediction as one of the major PHM …