Technology index

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Forecasting construction price index using artificial intelligence models: Support vector machines and radial basis function neural network

The results of this study would be useful in quickly and accurately predicting CPI to the management agencies, investors, construction contractors to pre-plan the construction investment costs. This will also help in suitably adjusting changing construction cost with time.

11p viengfa 28-10-2024 2 2 Download

Estimation of California Bearing Ratio of soils using Random Forest based machine learning

In this study, the Machine Learning (ML) approach has been adopted using Random Forest (RF) model to estimate the CBR of the soil based on 10 input parameters such as Plasticity Index (PI), Liquid Limit (LL), Silt Clay content (SC), Fine Sand content (FS), Coarse sand content (CS), Optimum Water Content (OWC), Organic content (O), Plastic Limit (PL), Gravel content (G), and Maximum Dry Density (MDD), which can be easily determined in the laboratory.

14p viengfa 28-10-2024 6 2 Download

Locational and firm-level determinants of total factor productivity in Vietnamese manufacturing

Total factor productivity (TFP) has received much attention from both academics and policy makers in the past decade, as it promises an answer to the question of sustainable growth in the context of limited inputs. This article examines the TFP of manufacturing companies in Vietnam and the factors at the firm level, in addition to locational drivers, especially at the provincial level, that drive the change in TFP.

9p viyuhi 26-03-2025 5 1 Download
Comparison of the different ways of the ball bond work index determining

This paper was carried out with the purpose of reviewing, classifying and testing the existing methods for determination the Bond Ball Mill Index.

15p lucastanguyen 01-06-2020 25 3 Download
Yield gap analysis through front line demonstration in castor

Front line demonstration is an effective and appropriate tool to demonstrate recommended technologies among the farmers. Krishi Vigyan Kendra, JAU, Amreli conducted 30 demonstrations on castor during 2015-16 to 2017-18 in the villages of Amreli district. The study found, the yield of castor in IT under irrigated conditions ranges from 25.70 to 27.85 q/ha whereas in FP it ranges between 19.45 to 22.31 q/ha. The per cent increase in yield with IP over FP was recorded in the range of 18.5 to 32.1%. The extension gap and technological index were ranging from 4.1 to 6.3 q/ha and 2.2 to 4.

5p gaocaolon5 14-06-2020 26 2 Download