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السجلات المعروضة 10301 -- 10310 من 10431
How eco-efficient are electric vehicles across Europe? A regionalized life cycle assessment-based eco-efficiency analysis
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John Wiley and Sons Ltd
, 2021 , Article)
Sustainable transportation is at the hearth of the United Nation's Sustainable Development Goals (SDGs) and is directly linked to many SDGs including SDG3 (good health and well-being), SDG11 (sustainable cities and societies), ...
Phase-I monitoring of high-dimensional covariance matrix using an adaptive thresholding LASSO rule
(
Elsevier
, 2020 , Article)
High-dimensional variability monitoring and diagnosing is of great prominence for the quality improvement and cost reduction. Most of the existing control charts are mainly based on the assumption that the in-control ...
Modeling the Impact of Weather Conditions on Pedestrian Injury Counts Using LASSO-Based Poisson Model
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Springer Science and Business Media Deutschland GmbH
, 2021 , Article)
Statistical models for measuring the impact of adverse weather conditions on pedestrian injuries are of great importance for enhancing road safety measures. The development of these models in the presence of high collinearity ...
Doxorubicin conjugates: a practical approach for its cardiotoxicity alleviation
(
Taylor & Francis
, 2024 , Article)
Introduction: Doxorubicin (DOX) emerges as a cornerstone in the arsenal of potent chemotherapeutic agents. Yet, the clinical deployment of DOX is tarnished by its proclivity to induce severe cardiotoxic effects, culminating ...
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
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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 ...