Real Time Determination of Rheological Properties of Spud Drilling Fluids Using a Hybrid Artificial Intelligence Technique

Time Determination ◽

Communications in Computer and Information Science - Applied Computing to Support Industry: Innovation and Technology ◽

Prediction of Compressive Strength of High-Performance Concrete: Hybrid Artificial Intelligence Technique

10.1007/978-3-030-38752-5_26 ◽

2020 ◽

pp. 323-335 ◽

Author(s):

Mohammed Majeed Hameed ◽

Mohamed Khalid AlOmar

Keyword(s):

Artificial Intelligence ◽

Compressive Strength ◽

High Performance ◽

High Performance Concrete ◽

Real-time determination of rheological properties of high over-balanced drilling fluid used for drilling ultra-deep gas wells using artificial neural network

Journal of Natural Gas Science and Engineering ◽

10.1016/j.jngse.2020.103224 ◽

2020 ◽

Vol 77 ◽

pp. 103224 ◽

Author(s):

Ibrahim Gomaa ◽

Salaheldin Elkatatny ◽

Abdulazeez Abdulraheem

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Rheological Properties ◽

Real Time ◽

Drilling Fluid ◽

Gas Wells ◽

Time Determination ◽

Artificial Neural

The prediction of damage condition for light structures with Hybrid Artificial Intelligence technique

IABSE Symposium Report ◽

10.2749/222137808796106288 ◽

2008 ◽

Vol 94 (9) ◽

pp. 63-70

Author(s):

Norhaslinda Yasmin Osman

Keyword(s):

Artificial Intelligence ◽

Damage Condition ◽

Determination of eccentric deposition thickness on offshore horizontal pipes by gamma-ray densitometry and artificial intelligence technique

Applied Radiation and Isotopes ◽

10.1016/j.apradiso.2020.109221 ◽

2020 ◽

Vol 165 ◽

pp. 109221

Author(s):

Tâmara P. Teixeira ◽

Marcelo C. Santos ◽

Caroline M. Barbosa ◽

William L. Salgado ◽

Roos Sophia F. Dam ◽

...

Keyword(s):

Artificial Intelligence ◽

Gamma Ray ◽

Horizontal Pipes ◽

Deposition Thickness ◽

Leadership, Innovation and Entrepreneurship as Driving Forces of the Global Economy - Springer Proceedings in Business and Economics ◽

Implementation of Hybrid Artificial Intelligence Technique to Detect Covert Channels Attack in New Generation Internet Protocol IPv6

10.1007/978-3-319-43434-6_15 ◽

2016 ◽

pp. 173-190 ◽

Author(s):

Abdulrahman Salih ◽

Xiaoqi Ma ◽

Evtim Peytchev

Keyword(s):

Artificial Intelligence ◽

Internet Protocol ◽

Covert Channels ◽

New Generation ◽

Multibiometric Personal Identification based on Hybrid Artificial Intelligence Technique using Serial Mode Architecture

International Journal of Computer Applications ◽

10.5120/15305-3686 ◽

2014 ◽

Vol 87 (18) ◽

pp. 1-7

Author(s):

Laheeb M.Alzoubiady ◽

Ibrahim A. Saleh

Keyword(s):

Artificial Intelligence ◽

Personal Identification ◽

Serial Mode ◽

A Novel Hybrid Artificial Intelligence Technique for Colpitts Oscillator Design

Journal of Control Automation and Electrical Systems ◽

10.1007/s40313-013-0084-4 ◽

2013 ◽

Vol 25 (1) ◽

pp. 10-21 ◽

Cited By ~ 3

Author(s):

Mohamad Ghazali B. Ameer Amsa ◽

A. M. Aibinu ◽

M. J. E. Salami

Keyword(s):

Artificial Intelligence ◽

Colpitts Oscillator ◽

Artificial Intelligence Technique to Real-Time Based on Selective Harmonic Elimination in Modified Multilevel Inverter

Journal of Engineering and Applied Sciences ◽

10.36478/jeasci.2019.9692.9700 ◽

2019 ◽

Vol 14 (24) ◽

pp. 9692-9700

Author(s):

Mohammed Rasheed ◽

Rosli Omar ◽

Marizan Sulaiman ◽

Wahidah Abd Halim ◽

Moataz M.A. Alakkad Majeda

Keyword(s):

Artificial Intelligence ◽

Real Time ◽

Multilevel Inverter ◽

Harmonic Elimination ◽

Selective Harmonic Elimination ◽

Artificial intelligence technique based Reactive Power Planning incorporating FACTS Controllers in Real Time Power Transmission System

2014 IEEE 2nd International Conference on Electrical Energy Systems (ICEES) ◽

10.1109/icees.2014.6924136 ◽

2014 ◽

Author(s):

Kallippatti Ramsamy Vadivelu ◽

G. Venkata Marutheswar

Keyword(s):

Artificial Intelligence ◽

Real Time ◽

Reactive Power ◽

Power Transmission ◽

Transmission System ◽

Power Transmission System ◽

Facts Controllers ◽

Reactive Power Planning ◽

An Iot based system for magnify air pollution monitoring and prognosis using hybrid artificial intelligence technique

Environmental Research ◽

10.1016/j.envres.2021.112576 ◽

2021 ◽

pp. 112576

Author(s):

Abdulmohsen Almalawi ◽

Asif Irshad Khan ◽

Ali Alkhathlan ◽

Adil Fahad ◽

Fawaz Jaber Alsolami ◽

...

Keyword(s):

Artificial Intelligence ◽

Air Pollution ◽

Pollution Monitoring ◽

Air Pollution Monitoring ◽