Results 111 to 120 of about 10,881 (265)

Aplikasi Metode Ground Penetrating Radar Terhadap Pola Retakan Di Bendungan Batu Tegi Lampung

open access: yesWahana Fisika: Jurnal Penelitian Fisika dan Terapannya, 2016
Munculnya retakan pada urugan bendungan Batu Tegi Lampung sangat mengganggu keselamatan diwilayah tersebut. Dalam hal ini perlunya dilakukan investivigasi terhadap retakan – retakan yang muncul dipermukaan urugan bendungan.
Somantri Aji, Pulung Arya, Mimin Iryanti
doaj  

Enhanced Linear Sampling Method for GPR Imaging

open access: yes, 2016
In this paper we consider the electromagnetic inverse scatting problem for GPR application. The reconstruction of the shape of buried dielectric objects is obtain using the well-known non iterative inverse technique entitled Linear Sampling Method (LSM).
Liu, Xiang   +4 more
openaire   +1 more source

Advantages of low‐glycaemic‐index carbohydrates in regulating glycaemic response of energy bar: A review

open access: yesJournal of the Science of Food and Agriculture, EarlyView.
Abstract Energy bars are widely consumed functional foods among athletes and physically active consumers who require convenient sources of sustained energy. Their carbohydrate composition, particularly the type and ratio of digestible sugars such as glucose, fructose and sucrose, strongly influences glycaemic index (GI), postprandial blood glucose ...
Raju Sasikumar   +8 more
wiley   +1 more source

GPR METHOD AS A NON-DESTRUCTIVE METHOD FOR SUBGRADE MONITORING

open access: yesDorogi і mosti, 2019
Ivan Kravets   +2 more
openaire   +1 more source

Sundman‐Like Transformations and the NRT Nonlinear Schrödinger Equation

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT We present a new generalization of the well‐known power‐type Sundman transformation, involving not only powers of the function but also of its derivative, along with its inverse. Our aim is to explore the use of such transformations in the derivation of solutions of ordinary differential equations and in the study of their properties.
P. R. Gordoa   +3 more
wiley   +1 more source

Enhancing Rock Strength Prediction and Features Selection by Coupling Well Log Data and Deep Learning Approaches in Reservoir Geomechanics

open access: yesInternational Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT Accurate rock strength parameters play a vital role in petroleum and mining operations for sustainable drilling activities, and wellbore stability analysis. This study investigates the applicability of deep learning techniques for assessing data‐driven models, and to conduct parametric sensitivity examination for feature attributes ranking to ...
Mohammad Islam Miah   +2 more
wiley   +1 more source

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