Výsledky vyhľadávania - "Murtaza, Nadir"

Artificial intelligence evaluation of nature based flood resilience in hilly terrain.

Autori: Mabrouk, Abdelkader Inam, Inamullah Qureshi, Muhammad Zeeshan a ďalší

Zdroj: Scientific Reports; 10/10/2025, Vol. 15 Issue 1, p1-22, 22p

Predmety: ARTIFICIAL intelligence, RANDOM forest algorithms, GREEN infrastructure, FLOOD damage prevention, HYDROLOGICAL research, SUPPORT vector machines, FLOOD forecasting, ALTITUDES

Impact of floating debris on houses during floods and vegetation-based mitigation.

Autori: Pasha, Ghufran Ahmed Asghar, Muhammad Murtaza, Nadir a ďalší

Zdroj: Proceedings of ICE: Water Management; Apr2025, Vol. 178 Issue 2, p126-141, 16p

Predmety: SPECIFIC gravity, FLOW velocity, SUSTAINABLE communities, TORQUE, WATER depth

Korporácia: UNITED Nations

Numerical Investigation of Flow Around Partially and Fully Vegetated Submerged Spur Dike.

Autori: Iqbal, Sohail Haider, Rizwan Pasha, Ghufran Ahmed a ďalší

Zdroj: Water (20734441); Feb2025, Vol. 17 Issue 3, p435, 23p

Predmety: COMPUTATIONAL fluid dynamics, SEDIMENTATION & deposition, RIVER conservation, WATERSHEDS, STRESS concentration

Mitigating Scour at Bridge Abutments: An Experimental Investigation of Waste Material as an Eco-Friendly Solution.

Autori: Murtaza, Nadir Khan, Zaka Ullah Khedher, Khaled Mohamed a ďalší

Zdroj: Water (20734441); Nov2023, Vol. 15 Issue 21, p3798, 26p

Predmety: BRIDGE abutments, FROUDE number, MARBLE

Assessing Dyke and Moat systems for hydrodynamic reduction in super-critical flow: a laboratory and ANN approach.

Autori: Murtaza, Nadir Pasha, Ghufran Ahmed Khan, Zaka Ullah a ďalší

Zdroj: Innovative Infrastructure Solutions; 12/26/2024, Vol. 10 Issue 1, p1-18, 18p

Laboratory investigation of flow behavior in an open channel with emerged porous rigid and flexible vegetation.

Autori: Iqbal, Kashif Ghani, Usman Pasha, Ghufran Ahmed a ďalší

Zdroj: Journal of Hydrodynamics; Dec2024, Vol. 36 Issue 6, p1181-1199, 19p

Advanced Prediction Models for Scouring Around Bridge Abutments: A Comparative Study of Empirical and AI Techniques.

Autori: Khan, Zaka Ullah Khan, Diyar Murtaza, Nadir a ďalší

Zdroj: Water (20734441); Nov2024, Vol. 16 Issue 21, p3082, 30p

Predmety: ARTIFICIAL neural networks, FUZZY neural networks, ARTIFICIAL intelligence, BRIDGE abutments, FLOW velocity

Impact of dyke and vegetation on fluid force and moment reduction under sub and supercritical flow conditions.

Autori: Murtaza, Nadir Pasha, Ghufran Ahmed Khan, Zaka Ullah a ďalší

Zdroj: Physics of Fluids; Oct2024, Vol. 36 Issue 10, p1-19, 19p

Predmety: HYDRAULIC jump, TORQUE, FLOW velocity, VEGETATION dynamics, FROUDE number

Effectiveness of Collars and Hooked-Collars in Mitigating Scour around Different Abutment Shapes.

Autori: Khan, Zaka Ullah Ahmed, Afzal Valyrakis, Manousos a ďalší

Zdroj: Water (20734441); Sep2024, Vol. 16 Issue 17, p2550, 29p

Predmety: BRIDGE failures, FROUDE number, REGRESSION analysis, SENSITIVITY analysis, SEDIMENTS

Computational analysis of fluid dynamics in open channel with the vegetated spur dike.

Autori: Iqbal, Sohail Siddique, Muhammad Hamza, Ali a ďalší

Zdroj: Innovative Infrastructure Solutions; 8/9/2024, Vol. 9 Issue 9, p1-15, 15p

Sloping Perspectives: Investigating Flow Hydrodynamics in Vegetated Open-Channels under Varying Bed Slope.

Autori: Murtaza, Nadir Pasha, Ghufran Ahmed Murtaza, Ahmed a ďalší

Zdroj: Technical Journal of University of Engineering & Technology Taxila; 2024 Special Issue, p626-638, 13p

Predmety: ARTIFICIAL neural networks, STANDARD deviations, SUM of squares, FROUDE number, ECOSYSTEM dynamics