Estimating compressive strength of modern concrete mixtures using computational intelligence: A systematic review
The mixture proportioning of conventional concrete is commonly established using
regression analysis of experimental data. However, such traditional empirical procedures …
regression analysis of experimental data. However, such traditional empirical procedures …
A systematic review and assessment of concrete strength prediction models
M Nithurshan, Y Elakneswaran - Case Studies in Construction Materials, 2023 - Elsevier
Abstract In Civil Engineering field, the compressive strength of concrete is a key parameter
to design concrete structures and evaluate existing structures. Conventionally the …
to design concrete structures and evaluate existing structures. Conventionally the …
Two-level approach for no-reference consumer video quality assessment
J Korhonen - IEEE Transactions on Image Processing, 2019 - ieeexplore.ieee.org
Smartphones and other consumer devices capable of capturing video content and sharing it
on social media in nearly real time are widely available at a reasonable cost. Thus, there is a …
on social media in nearly real time are widely available at a reasonable cost. Thus, there is a …
A novel one-dimensional cnn with exponential adaptive gradients for air pollution index prediction
Air pollution is one of the world's most significant challenges. Predicting air pollution is
critical for air quality research, as it affects public health. The Air Pollution Index (API) is a …
critical for air quality research, as it affects public health. The Air Pollution Index (API) is a …
Prediction of drilling rate of penetration (ROP) using hybrid support vector regression: A case study on the Shennongjia area, Central China
Rate of penetration (ROP) prediction is crucial for the optimization and control in drilling
process due to its vital role in maximizing the drilling efficiency. This paper proposes a novel …
process due to its vital role in maximizing the drilling efficiency. This paper proposes a novel …
How can renewable hydrogen compete with diesel in public transport? Robust design optimization of a hydrogen refueling station under techno-economic and …
Heavy-duty transport represents nearly 6% of the greenhouse gas emissions in Europe.
Renewable hydrogen is a potential option to decarbonize heavy-duty transport, such as …
Renewable hydrogen is a potential option to decarbonize heavy-duty transport, such as …
Improving grasshopper optimization algorithm for hyperparameters estimation and feature selection in support vector regression
High-dimensionality is one of the major problems which affect the quality of the classification
and prediction modeling. Support vector regression has been applied in several real …
and prediction modeling. Support vector regression has been applied in several real …
Prediction of laying hen house odor concentrations using machine learning models based on small sample data
In laying hen farm, odor measurement and reduction are necessary for clean environment
management and human/animal health care. However, limited quantitative data and …
management and human/animal health care. However, limited quantitative data and …
Toward faster operational optimization of cascaded MSMPR crystallizers using multiobjective support vector regression
Mixed-suspension mixed-product removal (MSMPR) crystallization process is critical for
optimal separation and purification operations in pharmaceutical and fine chemical …
optimal separation and purification operations in pharmaceutical and fine chemical …
Predicting the evolution of static yield stress with time of blended cement paste through a machine learning approach
Predicting the static yield stress (τ 0 S) is relevant to design innovative concrete
technologies. This paper evaluated three machine learning methods to choose the most …
technologies. This paper evaluated three machine learning methods to choose the most …