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السجلات المعروضة 8081 -- 8090 من 8256
Porous beta titanium alloy coated with a therapeutic biopolymeric composite to improve tribomechanical and biofunctional balance
(
Elsevier
, 2023 , Article)
Tooth loss is common in patients struggling with dental cavities, periodontal diseases, and tumors, as well as those who abuse tobacco or drugs. In this scenario, dental implants have become the primary treatment option ...
Optimizing Clinical Workflow Using Precision Medicine and Advanced Data Analytics
(
MDPI
, 2023 , Article)
Precision medicine—of which precision prescribing is a core component—is becoming a new frontier in today’s healthcare. Both artificial intelligence (AI) and machine learning (ML) have the potential to enhance our understanding ...
“Is percutaneous extraction of gallstones safe and effective in high-risk patients? Evidence from a systematic review”
(
Elsevier
, 2022 , Article)
Gallstone disease in high-risk patients presents a management dilemma as cholecystectomy is often not performed due to their co-morbidities. Alternatively, such patients can be managed by percutaneous removal of gallstones. ...
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 ...
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 ...
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 ...
Horizontal Two-Phase Flow Regime Identification with Machine Learning Classification Models
(
International Petroleum Technology Conference (IPTC)
, 2022 , Conference Paper)
This paper presents a follow-up study to Manikonda et al. (2021), which identified the best machine learning (ML) models for classifying the flow regimes in vertical gas-liquid two-phase flow. This paper replicates their ...
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 ...
Experimental analysis of water evaporation losses in cooling towers using filters
(
Elsevier
, 2020 , Article)
Water evaporation losses in cooling towers account for considerable amount of fresh water consumption, which calls for proven and economically viable technologies to address this problem. The use of filters mounted on to ...
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 ...