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Volume 1 | Issue 1 | January

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  Paper Title: You can download the Published Paper, e-Certificate(s) and Confirmation letter by logging into your account at AUTHOR'S HOME HERE WE GO FOR THIRD ROW

  Author Name(s): JATIN R PATEL, JATIN R PATEL, JATIN R PATEL, JATIN R PATEL, JATIN R PATEL

  Published Paper ID: - IJCSP1234567

  Register Paper ID - 210985

  Publisher Journal Name: IJPUBLICATION, IJCSPUB

  DOI Member ID: 10.6084/m9.doi.one.IJCSP1234567 and DOI :

  Author Country : N, India, - , -, - , | Research Area: Science and Technology

Published Paper URL: viewfull.php?&p_id=IJCSP1234567
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  Your Paper Publication Details:

  Title: YOU CAN DOWNLOAD THE PUBLISHED PAPER, E-CERTIFICATE(S) AND CONFIRMATION LETTER BY LOGGING INTO YOUR ACCOUNT AT AUTHOR'S HOME HERE WE GO FOR THIRD ROW

 DOI (Digital Object Identifier) :

 Pubished in Volume: 1  | Issue: 1  | Year: 1

 Publisher Name : IJCSPUB | www.ijcspub.org | ISSN : 2250-1770

 Subject Area: Science and Technology

 Author type: N

 Pubished in Volume: 1

 Issue: 1

 Pages: 1

 Year: 1

 Downloads: 236

  E-ISSN Number: 2320-2882

 Abstract

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  Paper Title: PREDICTION OF GROUND PROPERTIES USING MACHINE LEARNING TECHNIQUES

  Author Name(s): Yeruva Ramana Reddy

  Published Paper ID: - IJCSP11A1004

  Register Paper ID - 213060

  Publisher Journal Name: IJPUBLICATION, IJCSPUB

  DOI Member ID: 10.6084/m9.doi.one.IJCSP11A1004 and DOI :

  Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology

Published Paper URL: viewfull.php?&p_id=IJCSP11A1004
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  Title: PREDICTION OF GROUND PROPERTIES USING MACHINE LEARNING TECHNIQUES

 DOI (Digital Object Identifier) :

 Pubished in Volume: 1  | Issue: 1  | Year: January 2011

 Publisher Name : IJCSPUB | www.ijcspub.org | ISSN : 2250-1770

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 1

 Issue: 1

 Pages: 12-15

 Year: January 2011

 Downloads: 43

  E-ISSN Number: 2320-2882

 Abstract

According to this paper's principal objective, machine learning (ML) approaches may be used to forecast ground characteristics accurately. Geotechnical engineering relies heavily on soil shear strength as one of its primary design criteria. Geotechnical constructions are safe because of the soil's sturdiness. A foundation's shear strength impacts its deformation capacity, lateral loads, and bearing wall. This work studies the prospect of using the Random Forest (RF) algorithm, a well-known machine learning approach, to evaluate the ground's unconfined compressive strength (UCS). The UCS is among the most critical mechanical properties of soil. There has been a dramatic rise in the use of machine learning (ML) methods in numerous scientific domains during the last decade [1]. Ground information is becoming more readily accessible, both remotely and locally. Open-source approaches are making it easier to analyze that data using a machine learning approach. This technique is because there are so many publications that it is hard to manually evaluate all of the articles that pertain to the use of machine learning in soil science without first narrowing down a narrative the review of how ML is applied to a particular research subject [1]. The goal of this study is to evaluate the use of ML methods in geotechnical engineering with the help of an ML algorithm to predict ground properties.


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 Keywords

Machine learning, ground properties, Random Forest, Geological Investigation, Soil Cohesion, Excavation, Civil Engineering

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  Paper Title: AN EMPIRICAL STUDY ON THE EFFECT OF SPATIAL VARIABILITY OF BLOCK-TYPE CEMENT-TREATED GROUND ON THE BEARING CAPACITY OF FOUNDATION UNDER INCLINED LOAD

  Author Name(s): Yeruva Ramana Reddy

  Published Paper ID: - IJCSP11A1003

  Register Paper ID - 213004

  Publisher Journal Name: IJPUBLICATION, IJCSPUB

  DOI Member ID: 10.6084/m9.doi.one.IJCSP11A1003 and DOI :

  Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology

Published Paper URL: viewfull.php?&p_id=IJCSP11A1003
Published Paper PDF: download.php?file=IJCSP11A1003
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  Title: AN EMPIRICAL STUDY ON THE EFFECT OF SPATIAL VARIABILITY OF BLOCK-TYPE CEMENT-TREATED GROUND ON THE BEARING CAPACITY OF FOUNDATION UNDER INCLINED LOAD

 DOI (Digital Object Identifier) :

 Pubished in Volume: 1  | Issue: 1  | Year: January 2011

 Publisher Name : IJCSPUB | www.ijcspub.org | ISSN : 2250-1770

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 1

 Issue: 1

 Pages: 8-11

 Year: January 2011

 Downloads: 39

  E-ISSN Number: 2320-2882

 Abstract

The primary purpose of this work is to undertake an empirical investigation to determine the impact that the spatial variability of block-type cement-treated soil has on the load-carrying capacity of foundations when subjected to inclined loads. In engineering structures, non-homogeneity of concrete characteristics due to spatial variability is an essential property. Analyzing it may be quite valuable in determining the location of damaged regions and determining the resiliency of a building. For the first step of the investigation, Non-destructive Testing (NDT) was used on laboratory concrete slabs outside an existing bridge [1]. As a result, the spatial variability of many NDT methods was measured at three levels: point (repeatability), local (local variation), and worldwide. DCM soils have a wide range of strengths, so the performance of DCM soil-improved buildings is very unclear. This process may lead to unanticipated points of failure and specific collapse locations that are not considered during the designing phase. In contrast to a gaussian distribution, DCM ground hardness is spatially interconnected. Many researchers have reported on various projects' spatial correlation lengths determined for DCM soil strength. There are multiple ways that the qualities of DCM soil are linked, and the claimed correlation lengths range from 0 to 12 m[1]. Such correlation lengths are minuscule compared to the proportions of a typical barrier. DCM soil's strength qualities might fluctuate over time within a single project, leading to isolated zones of low and high strength. Soft clayey soils stabilized, and their bearing capacity increased by using deep mixing procedures. Determining the bearing capacity for design may be complicated because the cement-treated ground exhibits geographic heterogeneity in its shear strength. Under inclining load situations, this research examines the dependability of block-type cement-treated foundations. The shear strength of the undrained soil is modeled as a random field with two distinguishing features: a log-normal dispersion and a spatial correlation strength.


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 Keywords

Spatial Variability, block-type cement-treated ground, DCM soil strength, NDT methods, bearing capacity, incline load

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  Paper Title: THE STUDY OF ELECTRO-CHEMICAL BEHAVIOUR OF METALS IN WATER IRRADIATED BY HIGH INTENSITY ULTRASONIC FIELD

  Author Name(s): Dr. Anurag Saxena

  Published Paper ID: - IJCSP11A1002

  Register Paper ID - 211839

  Publisher Journal Name: IJPUBLICATION, IJCSPUB

  DOI Member ID: 10.6084/m9.doi.one.IJCSP11A1002 and DOI :

  Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology

Published Paper URL: viewfull.php?&p_id=IJCSP11A1002
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  Title: THE STUDY OF ELECTRO-CHEMICAL BEHAVIOUR OF METALS IN WATER IRRADIATED BY HIGH INTENSITY ULTRASONIC FIELD

 DOI (Digital Object Identifier) :

 Pubished in Volume: 1  | Issue: 1  | Year: January 2011

 Publisher Name : IJCSPUB | www.ijcspub.org | ISSN : 2250-1770

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 1

 Issue: 1

 Pages: 6-7

 Year: January 2011

 Downloads: 101

  E-ISSN Number: 2320-2882

 Abstract

THE STUDY OF ELECTRO-CHEMICAL BEHAVIOUR OF METALS IN WATER IRRADIATED BY HIGH INTENSITY ULTRASONIC FIELD


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THE STUDY OF ELECTRO-CHEMICAL BEHAVIOUR OF METALS IN WATER IRRADIATED BY HIGH INTENSITY ULTRASONIC FIELD

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  Paper Title: POST-COLONIALISM

  Author Name(s): Dr. M. Nagesh

  Published Paper ID: - IJCSP11A1001

  Register Paper ID - 211684

  Publisher Journal Name: IJPUBLICATION, IJCSPUB

  DOI Member ID: 10.6084/m9.doi.one.IJCSP11A1001 and DOI : http://doi.one/10.1729/Journal.29041

  Author Country : Indian Author, India, 560092 , Sahkarnagar , 560092 , | Research Area: Science and Technology

Published Paper URL: viewfull.php?&p_id=IJCSP11A1001
Published Paper PDF: download.php?file=IJCSP11A1001
Published Paper PDF: http://www.ijcspub.org/papers/IJCSP11A1001.pdf

  Your Paper Publication Details:

  Title: POST-COLONIALISM

 DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.29041

 Pubished in Volume: 1  | Issue: 1  | Year: January 2011

 Publisher Name : IJCSPUB | www.ijcspub.org | ISSN : 2250-1770

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 1

 Issue: 1

 Pages: 1-5

 Year: January 2011

 Downloads: 122

  E-ISSN Number: 2320-2882

 Abstract


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POST-COLONIALISM

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