470 results on '"Tariq, Zeeshan"'
Search Results
2. Towards Rapid Prediction of Nuclear Magnetic Resonance-Based Bimodal Porosities: An Example from the Middle Eastern Carbonate Reservoir
3. The use of FreeStyle libre improves glycaemic control along with reducing diabetes burden and hospital admissions in a socially deprived Northwest English population
4. Development of functional textile via microencapsulation of peppermint oils: a novel approach in textile finishing
5. Machine learning accelerated approach to infer nuclear magnetic resonance porosity for a middle eastern carbonate reservoir
6. Doublet huff and puff: A new technology for efficient geological CO[formula omitted] sequestration and stable geothermal recovery
7. Mining complex business processes for compliance checking and end-state prediction
8. An encoder-decoder ConvLSTM surrogate model for simulating geological CO2 sequestration with dynamic well controls
9. Physics-informed machine learning for reservoir management of enhanced geothermal systems
10. High carrier mobility ZrSSe/SnX (X=S, Se, S2, Se2) vdW heterostructures for photocatalytic overall water splitting: A first-principles study
11. Two-dimensional CrSe2/GaN heterostructures for visible-light photocatalysis with high utilization of solar energy
12. Enhancing wettability prediction in the presence of organics for hydrogen geo-storage through data-driven machine learning modeling of rock/H2/brine systems
13. Estimation of heterogeneous permeability using pressure derivative data through an inversion neural network inspired by the Fast Marching Method
14. Numerical investigations and evaluation of a puga geothermal reservoir with horizontal wells using a fully coupled thermo-hydro-geomechanical model (THM) and EDAS associated with AHP
15. A Durable Response to Osimertinib in an Elderly Patient With EGFR T790M Positive Metastatic Non–Small-Cell Lung Cancer After Progression on Erlotinib
16. Spatial–temporal prediction of minerals dissolution and precipitation using deep learning techniques: An implication to Geological Carbon Sequestration
17. Morphologically Divergent Development of SnS Photocatalysts from Under-Utilized Ionic Precursors of SILAR Process
18. Machine Learning Approaches for Compressibility Factor Prediction at High- and Low-Pressure Ranges
19. Early Prediction of Complex Business Processes Using Association Rule Based Mining
20. Type-I/Type-II Transition of MoSe2/g-GaN van der Waals heterostructures mediated by biaxial strain and electric field for overall water splitting
21. Predicting wettability of mineral/CO2/brine systems via data-driven machine learning modeling: Implications for carbon geo-sequestration
22. Predicting the efficiency of bare silica-based nano-fluid flooding in sandstone reservoirs for enhanced oil recovery through machine learning techniques using experimental data
23. Improving Water-Based Drilling Mud Performance Using Biopolymer Gum: Integrating Experimental and Machine Learning Techniques
24. Prediction of Foam Rheology Models Parameters Utilizing Machine Learning Tools
25. Incorporation of nanoparticles in silk fibroin solution: Toward water‐stable silk fibroin films possessing silk I structure
26. Electroanalytical investigation of quantum-dot based deposition of metal chalcogenides on g-C3N4 for improved photochemical performance
27. Novel Two-Dimensional MC2N4 (M = Cr, Mo, W) Monolayers for Overall Water Splitting with High Visible-Light Absorption
28. Ionic liquids as completion fluids to mitigate formation damage
29. AI-driven foam rheological model based on HPHT foam rheometer experiments
30. Machine learning approach to predict the dynamic linear swelling of shales treated with different waterbased drilling fluids
31. Lost circulation mitigation using modified enzyme induced calcite precipitation technique
32. Data-driven machine learning approach to predict mineralogy of organic-rich shales: An example from Qusaiba Shale, Rub’ al Khali Basin, Saudi Arabia
33. A systematic review of data science and machine learning applications to the oil and gas industry
34. Evolving strategies for shear wave velocity estimation: smart and ensemble modeling approach
35. Graphitic carbon nitride–manganese oxide nanoflowers as promising T1 magnetic resonance imaging contrast material
36. An Event-Level Clustering Framework for Process Mining Using Common Sequential Rules
37. Recent Developments in Group II-VI Based Chalcogenides and Their Potential Application in Solar Cells
38. Vanadium Dichalcogenides-Based 2D Nanomaterials for Batteries
39. Two dimensional graphitic carbon nitride Nanosheets as prospective material for photocatalytic degradation of nitrogen oxides
40. Vanadium oxide–carbon composites and their energy storage applications
41. Contributors
42. Gas adsorption and reserve estimation for conventional and unconventional gas resources
43. List of contributors
44. Predicting Interfacial Tension in CO2/Brine Systems: A Data-Driven Approach and Its Implications for Carbon Geostorage
45. Prediction of Pure Mineral-H2-Brine Wettability Using Data-Driven Machine Learning Modeling: Implications for H2 Geo-Storage
46. A Data-Infused Methodology for Estimating Swelling Potential in Shales Exposed to Various Completion Fluids
47. Machine Learning accelerated Phase Flash Calculation for CO2–Brine System considering Capillarity Effect
48. Big Data Analysis Using Unsupervised Machine Learning: K-means Clustering and Isolation Forest Models for Efficient Anomaly Detection and Removal in Complex Lithologies
49. Prediction of NMR T2 Macro- and Micro-Porosity with Machine Learning Techniques: Considering the constraints of ECS Lithology Classification
50. Fractured Geothermal Reservoir Using CO2 as Geofluid: Numerical Analysis and Machine Learning Modeling
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.