Faculty Contributions: Recent submissions
Now showing items 321-340 of 17983
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Enhancing Safety in Geological Carbon Sequestration: Supervised Machine Learning for Early Detection and Mitigation of CO2 Leakage in Injection Wells
( International Petroleum Technology Conference (IPTC) , 2024 , Conference Paper)The efficient and safe operation of CO2 injection wells during geological sequestration is crucial for successful carbon capture and storage (CCS) projects. This study explores the application of machine learning in creating ... -
Development of a Mechanistic and Data-Driven Model for Multiphase Flow Leak Detection in Pipeline
( International Petroleum Technology Conference (IPTC) , 2024 , Conference Paper)Prompt and reliable detection of pipeline leaks is vital for human safety, the economy, the environment, and corporate reputation. However, a simple mechanistic model for accurately predicting leak characteristics in ... -
Application of Machine Learning Classification Algorithms for Two-Phase Gas-Liquid Flow Regime Identification
( Society of Petroleum Engineers , 2021 , Conference Paper)This research aims to identify the best machine learning (ML) classification techniques for classifying the flow regimes in vertical gas-liquid two-phase flow. Two-phase flow regime identification is crucial for many ... -
Experimental Investigation of Early Leak Detection in Offshore Multiphase Flow Pipelines Using Non-Invasive Electrical Resistance Tomography
( Society of Petroleum Engineers , 2024 , Conference Paper)Prompt and reliable detection of pipeline leaks is vital for human safety, the economy, the environment, and corporate reputation. The objective of the current analysis is to investigate the effectiveness of noninvasive ... -
Turbulence modeling using Z-F, RSM, LES and WMLES for flow analysis in Z-Shape ducts
( American Society of Mechanical Engineers (ASME) , 2020 , Conference Paper)Turbulent flow in Z-shape duct configuration is investigated and analyzed using Reynolds Stress Model (RSM), Large Eddy Simulation (LES), ζ-f Model, and Wall-Modeled Large Eddy Simulation (WMLES). The results are validated ... -
In silico-designed antimicrobial peptide targeting MRSA and E. coli with antibacterial and antibiofilm actions
( Springer Nature , 2024 , Article)Antibiotic resistance is a paramount global health issue, with numerous bacterial strains continually fortifying their resistance against diverse antibiotics. This surge in resistance levels primarily stems from the overuse ... -
Multi-Criterial Based Feature Selection for Health Care System
( Springer , 2023 , Article)Health is the basis of a happy and successful living, and modern people have significantly benefited from medical advancements. More information is available to analyze the difficulties that affect our well-being with each ... -
Mobile payment apps filling value gaps: Integrating consumption values with initial trust and customer involvement
( Elsevier , 2022 , Article)This study aims to understand the consumption values that positively influence the adoption of mobile payment apps (MPAs). The theory of consumption values and two more constructs, initial trust (INT) and customer involvement ... -
Endodontic Applications of Propolis in Primary and Permanent Teeth: A Scoping Review of Clinical Studies.
( Kare Publishing , 2024 , Article Review)The use of propolis-based materials within endodontics to promote pulp wound healing or disinfect the root canal system has been a recent focus of scientists and clinicians. This is mainly because of the well-documented ... -
Metaverse in marketing and logistics: the state of the art and the path forward
( Emerald Publishing , 2023 , Article)Purpose: Ever since its emergence, the metaverse has presented opportunities and disruptions to every stakeholder, including individual users and organizations. This article aims to offer valuable perspectives on six ... -
The importance of investing in data, models, experiments, team science, and public trust to help policymakers prepare for the next pandemic
( Public Library of Science , 2023 , Article Review)The COVID-19 pandemic has brought about valuable insights regarding models, data, and experiments. In this narrative review, we summarised the existing literature on these three themes, exploring the challenges of providing ... -
Optimizing cancer therapy: a review of the multifaceted effects of metronomic chemotherapy
( Frontiers Media , 2024 , Article Review)Metronomic chemotherapy (MCT), characterized by the continuous administration of chemotherapeutics at a lower dose without prolonged drug-free periods, has garnered significant attention over the last 2 decades. Extensive ... -
Genomic Newborn Screening for Pediatric Cancer Predisposition Syndromes: A Holistic Approach
( MDPI , 2024 , Article Review)As next-generation sequencing (NGS) has become more widely used, germline and rare genetic variations responsible for inherited illnesses, including cancer predisposition syndromes (CPSs) that account for up to 10% of ... -
Medicinal properties of Qatari wetland plants: A review
( AkiNik Publications , 2024 , Article)For over 60,000 years, human dependence on herbal remedies has been a cornerstone of traditional medicine. However, recent times have witnessed escalating concerns about the sustainability of these practices, especially ... -
Large-eddy simulation of the flow in Z-Shape duct
( Cogent OA , 2020 , Article)A numerical study is conducted of the transient flow in a z-shape three-dimensional duct using large-eddy simulation (LES) with dynamic eddy viscosity subgrid-scale (SGS) model with a fully structured grid system. The ... -
Harvesting water from air using adsorption material - Prototype and experimental results
( Elsevier , 2021 , Article)Drinking water resources have always been limited in the gulf region of the Middle East and other desert regions around the world. In attempt to provide viable supplement, a device that harvests clean drinking water from ... -
Performance analysis of various machine learning algorithms for CO2 leak prediction and characterization in geo-sequestration injection wells
( Elsevier , 2024 , Article)The effective detection and prevention of CO2 leakage in active injection wells are paramount for safe carbon capture and storage (CCS) initiatives. This study assesses five fundamental machine learning algorithms, namely, ... -
Digital twin in energy industry: Proposed robust digital twin for power plant and other complex capital-intensive large engineering systems
( Elsevier , 2022 , Article Review)The complex future power plants require digital twin (DT) architecture to achieve high reliability, availability and maintainability at lower cost. The available research on DT for power plants is limited and lacks details ... -
Isobaric Expansion Engines Powered by Low-Grade Heat-Working Fluid Performance and Selection Database for Power and Thermomechanical Refrigeration
( Wiley-VCH Verlag , 2020 , Article)A database is developed for the most suitable working fluids for Worthington-type and Bush-type isobaric engines based on their performances for a wide range of heat source temperature, from 40 to 300 °C, and operating ... -
Single and multiphase flow leak detection in onshore/offshore pipelines and subsurface sequestration sites: An overview
( Elsevier , 2024 , Article)Leaks may occur in existing pipelines, even when designed with quality construction and appropriate regulations. The economic impact of oil spills and natural gas dispersion from leaks can be huge. Failure to detect pipeline ...