In this paper, we compared five crack detection algorithms using terrestrial laser scanner (TLS) point clouds. The methods are developed based on common cloud processing knowledge in along- and across-track profiles, surface fitting or local pointwise features, with without machine learning. area volume were calculated from the points detected by algorithms. completeness, correctness, F1 score ...

Traffic prediction is an important technique for network link capacity planning. Supervised Variational Auto-Encoder (SVAE), a deep learning technique, suitable approach the The problem with SVAE that mean absolute value error (MAPE) decreases when correlation between feature vector and traffic probability distribution function (PDF) low. In this paper, we propose to increase by analytically ob...

Solving the problem of stem contour extraction maize is difficult under open field conditions, and diameter cannot be measured quickly nondestructively. In this paper, at small large bell stages was object study. An adaptive threshold segmentation algorithm based on color space model proposed to obtain in field. Firstly, 2D images were captured with an RGB-D camera. Then, processed by hue satur...

Salt lakes on the Tibetan Plateau (TP) are rich in lithium (Li), boron (B) and other mineral resources, accurate assessment of content spatial distribution brine those salt is important to guide development utilization their resources. There few studies estimating TP due lack situ investigation data. This study introduced an intelligent prediction model combining a feature selection algorithm w...

Higher Education Institutions are required to invent means and tools to meet the increasing demand of students’ enrolment. ELearning is one of these potential means which indicates that the issue of the quality of eLearning models is essential. A developed two-stage, Multi-Input-Single-Output SCeQLM a eLearning quality model has been reviewed. SCeLQM is based on ten Critical Success Factors, CS...

In India, the first confirmed case of novel corona virus (COVID-19) was discovered on January 30, 2020. The number cases is increasing day by day, and it crossed 21,53,010 August 9, this paper, a hybrid forecasting model has been proposed to determine for upcoming 10 days based earlier found in India. adaptive neuro-fuzzy inference system (ANFIS) mutation-based Bees Algorithm (mBA). meta-heuris...

background: water is considered as the main source of life but water resources are limited and nonrenewable. different factors have caused groundwater to decrease. therefore, modeling and predicting groundwater level is of great importance. methods: monthly groundwater level data of about 20 years (october 1991 to february 2012) from the hamadan-bahar plain, west of iran were used based on peiz...

solar radiation data play an important role in solar energy relevant researches. these data are not available for some locations due to the absence of the meteorological stations. therefore, solar radiation data have to be predicted by using solar radiation estimation models. this study presents an integrated artificial neural network (ann) approach for estimating solar radiation potential over...