Related references
Note: Only part of the references are listed.Role of different types of RNA molecules in the severity prediction of SARS-CoV-2 patients
Pratheeba Jeyananthan
PATHOLOGY RESEARCH AND PRACTICE (2023)
Machine Learning-Based Method for Predicting Compressive Strength of Concrete
Daihong Li et al.
PROCESSES (2023)
Gradient tree boosting and the estimation of production frontiers
Maria D. Guillen et al.
EXPERT SYSTEMS WITH APPLICATIONS (2023)
Application of Non-Destructive Test Results to Estimate Rock Mechanical Characteristics-A Case Study
Zhichun Fang et al.
MINERALS (2023)
Machine learning prediction of concrete compressive strength using rebound hammer test
Abdulkader El -Mir et al.
JOURNAL OF BUILDING ENGINEERING (2023)
Prediction of masonry prism strength using machine learning technique: Effect of dimension and strength parameters
Navaratnarajah Sathiparan et al.
MATERIALS TODAY COMMUNICATIONS (2023)
Prediction of characteristics of cement stabilized earth blocks using non-destructive testing: Ultrasonic pulse velocity and electrical resistivity
Navaratnarajah Sathiparan et al.
MATERIALIA (2023)
Effect of aggregate size, aggregate to cement ratio and compaction energy on ultrasonic pulse velocity of pervious concrete: prediction by an analytical model and machine learning techniques
Navaratnarajah Sathiparan et al.
Asian Journal of Civil Engineering (2023)
Soft computing techniques to predict the electrical resistivity of pervious concrete
Daniel Niruban Subramaniam et al.
Asian Journal of Civil Engineering (2023)
Chemistry-informed machine learning prediction of compressive strength for alkali-activated materials
Lei Zhang et al.
CONSTRUCTION AND BUILDING MATERIALS (2022)
Machine learning-enabled estimation of crosswind load effect on tall buildings
Pengfei Lin et al.
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS (2022)
A Large-Scale k-Nearest Neighbor Classification Algorithm Based on Neighbor Relationship Preservation
Yunsheng Song et al.
WIRELESS COMMUNICATIONS & MOBILE COMPUTING (2022)
Thermal comfort analysis of fired-clay brick, cement-sand block and cement stabilized earth block masonry house models
Navaratnarajah Sathiparan et al.
INNOVATIVE INFRASTRUCTURE SOLUTIONS (2022)
Electrical resistivity-Compressive strength predictions for normal strength concrete with waste steel slag as a coarse aggregate replacement using various analytical models
Nzar Shakr Piro et al.
CONSTRUCTION AND BUILDING MATERIALS (2022)
Evaluating compressive strength of concrete made with recycled concrete aggregates using machine learning approach
Van Quan Tran et al.
CONSTRUCTION AND BUILDING MATERIALS (2022)
Soft computing models to predict the compressive strength of GGBS/FA- geopolymer concrete
Hemn U. Ahmed et al.
PLOS ONE (2022)
Guide to non-destructive concrete strength assessment: Homogeneity tests and sampling plans
Eman Saleh et al.
JOURNAL OF BUILDING ENGINEERING (2022)
Prediction of physical-mechanical properties of hollow interlocking compressed unstabilized and stabilized earth blocks at different moisture conditions using ultrasonic pulse velocity
Pardhasaradhi Kasinikota et al.
JOURNAL OF BUILDING ENGINEERING (2022)
Compressive strength prediction of fly ash-based geopolymer concrete via advanced machine learning techniques
Ayaz Ahmad et al.
CASE STUDIES IN CONSTRUCTION MATERIALS (2022)
Quarry dust as river sand replacement in cement masonry blocks: Effect on mechanical and durability characteristics
Kosalya Sundaralingam et al.
MATERIALIA (2022)
Non-destructive evaluating the density and mechanical properties of ancient timber members based on machine learning approach
Zhenbo Xin et al.
CONSTRUCTION AND BUILDING MATERIALS (2022)
Investigation with Non-Destructive and Destructive Methods for Assessment of Concrete Compressive Strength
Ivan Ivanchev
APPLIED SCIENCES-BASEL (2022)
Machine learning prediction models for compressive strength of calcined sludge-cement composites
Jinrui Zhang et al.
CONSTRUCTION AND BUILDING MATERIALS (2022)
Sustainable production of cement masonry blocks with the combined use of fly ash and quarry waste
Navaratnarajah Sathiparana et al.
MATERIALIA (2022)
Compressive strength prediction of one-part alkali activated material enabled by interpretable machine learning
Syed Farasat Ali Shah et al.
CONSTRUCTION AND BUILDING MATERIALS (2022)
Effect of moisture condition on cement masonry blocks with different fine aggregates: river sand, lateritic soil and manufactured sand
Navaratnarajah Sathiparan et al.
SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES (2022)
Machine learning prediction models for compressive strength of calcined sludge-cement composites
Jinrui Zhang et al.
CONSTRUCTION AND BUILDING MATERIALS (2022)
Combined usage of acoustic emission technique and ultrasonic pulse velocity test to study crack classification in reinforced concrete structures
R. Vidya Sagar et al.
NONDESTRUCTIVE TESTING AND EVALUATION (2021)
Soft computing techniques for the prediction of concrete compressive strength using Non-Destructive tests
Panagiotis G. Asteris et al.
CONSTRUCTION AND BUILDING MATERIALS (2021)
Soft computing-based models for the prediction of masonry compressive strength
Panagiotis G. Asteris et al.
ENGINEERING STRUCTURES (2021)
Investigation of the engineering properties of cementless stabilized earth blocks with alkali-activated eggshell and rice husk ash as a binder
K. Poorveekan et al.
CONSTRUCTION AND BUILDING MATERIALS (2021)
Application of bagging ensemble model for predicting compressive strength of hollow concrete masonry prism
Ahmad Sharafati et al.
AIN SHAMS ENGINEERING JOURNAL (2021)
Relationship between ultrasonic pulse velocity and uniaxial compressive strength for cemented paste backfill with alkali-activated slag
Haiqiang Jiang et al.
NONDESTRUCTIVE TESTING AND EVALUATION (2020)
Compressive strength of earth block masonry: Estimation based on neural networks and adaptive network-based fuzzy inference system
Guanqi Lan et al.
COMPOSITE STRUCTURES (2020)
Strength prediction model considering material, ultrasonic and stress of cemented waste rock backfill for recycling gangue
Jiangyu Wu et al.
JOURNAL OF CLEANER PRODUCTION (2020)
Characterising fundamental properties of foam concrete with a non-destructive technique
Lizhao Liu et al.
NONDESTRUCTIVE TESTING AND EVALUATION (2019)
Comparison of strength and durability properties between earth-cement blocks and cement-sand blocks
Youganathan Yogananth et al.
INNOVATIVE INFRASTRUCTURE SOLUTIONS (2019)
Prediction of Rock Compressive Strength Using Machine Learning Algorithms Based on Spectrum Analysis of Geological Hammer
Qiubing Ren et al.
GEOTECHNICAL AND GEOLOGICAL ENGINEERING (2019)
Evaluating the performance of self compacting concretes made with recycled coarse and fine aggregates using non destructive testing techniques
Navdeep Singh et al.
CONSTRUCTION AND BUILDING MATERIALS (2018)
Experimental Study on Electrical Resistivity of Cement-Stabilized Lead-Contaminated Soils
Zhiguo Cao et al.
ADVANCES IN CIVIL ENGINEERING (2018)
Using non-destructive tests for estimating uniaxial compressive strength and static Young's modulus of carbonate rocks via some modeling techniques
Shekoufeh Aboutaleb et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2018)
Compressive strength evaluation by non-destructive techniques: An automated approach in construction industry
Khuram Rashid et al.
JOURNAL OF BUILDING ENGINEERING (2017)
Non-Destructive Prediction of Concrete Compressive Strength Using Neural Networks
Adnan Khashman et al.
INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE (ICCS 2017) (2017)
The scale effect on small-scale modelling of cement block masonry
Navaratnarajah Sathiparan et al.
MATERIALS AND STRUCTURES (2016)
Predicting the uniaxial compressive strength of cemented paste backfill from ultrasonic pulse velocity test
Tekin Yilmaz et al.
NONDESTRUCTIVE TESTING AND EVALUATION (2016)
Centrifuge-less dispersive liquid-liquid microextraction base on the solidification of switchable solvent for rapid on-site extraction of four pyrethroid insecticides in water samples
Lu Hu et al.
JOURNAL OF CHROMATOGRAPHY A (2016)
A review of non-destructive testing methods of composite materials
S. Gholizadeh
XV PORTUGUESE CONFERENCE ON FRACTURE, PCF 2016 (2016)
Mesh type seismic retrofitting for masonry structures: critical issues and possible strategies
Navaratnarajah Sathiparan
EUROPEAN JOURNAL OF ENVIRONMENTAL AND CIVIL ENGINEERING (2015)
Laboratory Investigations on Factors Affecting Soil Electrical Resistivity and the Measurement
Mi Zhou et al.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2015)
In situ mechanical investigation of rammed earth: Calibration of minor destructive testing
I. Lombillo et al.
CONSTRUCTION AND BUILDING MATERIALS (2014)
Assessment of Mechanical Properties and the Influence of the Addition of Sawdust in Soil-Cement Bricks Using the Technique of Ultrasonic Anisotropic Inspection
E. V. M. Carrasco et al.
JOURNAL OF MATERIALS IN CIVIL ENGINEERING (2014)
Fuzzy support vector machine based on within-class scatter for classification problems with outliers or noises
Wenjuan An et al.
NEUROCOMPUTING (2013)
QRS detection using K-Nearest Neighbor algorithm (KNN) and evaluation on standard ECG databases
Indu Saini et al.
JOURNAL OF ADVANCED RESEARCH (2013)
Investigation of Geotechnical Parameters Affecting Electrical Resistivity of Compacted Clays
G. Kibria et al.
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING (2012)
A comparative study for the concrete compressive strength estimation using neural network and neuro-fuzzy modelling approaches
Mahmut Bilgehan
NONDESTRUCTIVE TESTING AND EVALUATION (2011)
A working guide to boosted regression trees
J. Elith et al.
JOURNAL OF ANIMAL ECOLOGY (2008)
Inductive and magnetic field inspection systems for rebar visualization and corrosion estimation in reinforced and pre-stressed concrete
P. Gaydecki et al.
NONDESTRUCTIVE TESTING AND EVALUATION (2007)