Flood prediction using machine learning models: Literature review
Floods are among the most destructive natural disasters, which are highly complex to model.
The research on the advancement of flood prediction models contributed to risk reduction …
The research on the advancement of flood prediction models contributed to risk reduction …
Artificial Neural Networks in the domain of reservoir characterization: A review from shallow to deep models
Abstract Nowadays Machine Learning approaches are getting popular in almost all the
domains of Engineering Applications. One such widely used approach is Artificial Neural …
domains of Engineering Applications. One such widely used approach is Artificial Neural …
Rock strength prediction in real-time while drilling employing random forest and functional network techniques
The rock unconfined compressive strength (UCS) is one of the key parameters for
geomechanical and reservoir modeling in the petroleum industry. Obtaining the UCS by …
geomechanical and reservoir modeling in the petroleum industry. Obtaining the UCS by …
Machine learning accelerated approach to infer nuclear magnetic resonance porosity for a middle eastern carbonate reservoir
Carbonate rocks present a complicated pore system owing to the existence of intra-particle
and interparticle porosities. Therefore, characterization of carbonate rocks using …
and interparticle porosities. Therefore, characterization of carbonate rocks using …
Fuzzy logic-driven and SVM-driven hybrid computational intelligence models applied to oil and gas reservoir characterization
This work demonstrates the capabilities of two hybrid models as Computational Intelligence
tools in the prediction of two important oil and gas reservoir properties, viz., porosity and …
tools in the prediction of two important oil and gas reservoir properties, viz., porosity and …
Slope stability analysis using artificial intelligence techniques
S Suman, SZ Khan, SK Das, SK Chand - Natural Hazards, 2016 - Springer
Natural and man-made soil slope failures are complex phenomena and cause serious
hazards in many countries of the world. As a result, public and private property is damaged …
hazards in many countries of the world. As a result, public and private property is damaged …
[책][B] Functional equations in applied sciences
E Castillo, A Iglesias, R Ruiz-Cobo - 2004 - books.google.com
The book provides the reader with the different types of functional equations that s/he can
find in practice, showing, step by step, how they can be solved. A general methodology for …
find in practice, showing, step by step, how they can be solved. A general methodology for …
Prediction of maximum dry density and unconfined compressive strength of cement stabilised soil using artificial intelligence techniques
The soft soil that has not enough in situ bearing capacity needs proper stabilization before
any construction can be done on this soil. Cement stabilization has been found to be an …
any construction can be done on this soil. Cement stabilization has been found to be an …
An improved predicted model for BDS ultra-rapid satellite clock offsets
The satellite clocks used in the BeiDou-2 satellite navigation System (BDS) are Chinese self-
developed Rb atomic clocks, and their performances and stabilities are worse than GPS and …
developed Rb atomic clocks, and their performances and stabilities are worse than GPS and …
Hybrid computational models for the characterization of oil and gas reservoirs
T Helmy, A Fatai, K Faisal - Expert Systems with Applications, 2010 - Elsevier
The process of combining multiple computational intelligence techniques to build a single
hybrid model has become increasingly popular. As reported in the literature, the …
hybrid model has become increasingly popular. As reported in the literature, the …