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Analysis of supply chain resilience drivers in oil and gas industries during the COVID-19 pandemic using an integrated approach
(Elsevier, 06.04.2022)
articleThe COVID-19 pandemic has significantly affected the supply chains (SCs) of many industries, including the oil and gas (O&G) industry. This study aims to identify and analyze the drivers that affect the resilience level ... -
Analyzing and Quantifying the Intrinsic Distributional Robustness of CVaR Reformulation for Chance Constrained Stochastic Programs
(IEEE, 02.09.2020)
articleChance constrained program (CCP) is a popular stochastic optimization method in power system planning and operation problems. Conditional Value-at-Risk (CVaR) provides a convex approximation for chance constraints which ... -
Animals in our Lives : An Interactive Well-Being Perspective
(SAGE Publications, 18.01.2021)
articleHumans have long interacted with animals. Recently, market-based responses to societal challenges, including loneliness and mental well-being include the use of animals. Considerable research concerning consumer–animal ... -
Another look at value and momentum : volatility spillovers
(Springer, 08.04.2020)
articleThis paper examines volatility interdependencies between value and momentum returns. Using U.S. data over the period 1926–2015, we document persistent periods of low and high volatility spillovers between value and momentum ... -
Anti-Islanding Techniques for Integration of Inverter-Based Distributed Energy Resources to the Electric Power System
(IEEE, 23.01.2024)
articleThe emergence of microgrids and the increasing adoption of Distributed Generation Systems (DGS) have created an opportunity to replace traditional fossil fuels with renewable resources. Such a shift poses security and power ... -
Anticipatory Innovation Governance Model and Regional Innovation Ecosystems Supporting Sustainable Development
(AHFE International, 2023)
articleAnticipatory innovation governance describes the process of managing and directing innovation efforts anticipating the potential impacts of new emerging phenomena to deal with complex and future challenges in a systemic ... -
Antioxidant studies for animal-based fat methyl ester
(Estonian University of Life Sciences, 2014)
articleThe aim of this study was to test an antioxidant, BioSineox, for animal-based fat methyl ester, AFME, in order to determine the optimal concentration of this antioxidant for meeting the six-hour ... -
Antisipaatio - tulevaisuuden ja kompleksisuuden tuore liitto
(Gaudeamus, 19.03.2020)
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Application of artificial intelligence for overall survival risk stratification in oropharyngeal carcinoma : A validation of ProgTOOL
(Elsevier, 23.04.2023)
articleBackground In recent years, there has been a surge in machine learning-based models for diagnosis and prognostication of outcomes in oncology. However, there are concerns relating to the model’s reproducibility and ... -
Application of Artificial Neural Network-Based Tool for Short Circuit Currents Estimation in Power Systems With High Penetration of Power Electronics-Based Renewables
(IEEE, 27.02.2023)
articleThe increasing integration of Power Electronics (PE)-based renewable energy sources into the electric power system has significantly affected the traditional levels and characteristics of fault currents compared to the ... -
Application of biotechnology for the production of biomass-based fuels
(Hindawi, 23.05.2017)
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Application of creativity techniques in the creation of organizational strategies
(SAGE, 01.01.2012)
articleThe majority of studies in the field of organizational strategies have concentrated on strategy formulation, distinct from strategy implementation. Disunion of these two processes often leads to disappointing results in ... -
Application of deep dehumidification technology in low-humidity industry : A review
(Elsevier, 17.01.2024)
articleHumidity regulation plays a pivotal role in both residential and industrial environments, significantly impacting comfort, health, and process efficiency. The integration of dehumidification systems with air conditioning ... -
Application of fuzzy AHP approach to selection of organizational structure with consideration to contextual dimensions
(De Gruyter Open, 09 / 2012)
articleThe literature of organizational structure design is relatively rich along with conceptual and complex patterns. This complexity arising from the number of elements and numerous relations in addition to the nature of ... -
Application of fuzzy TOPSIS framework for selecting complex project in a case company
(Emerald, 01.09.2021)
articlePurpose This study aims to propose a method known as the fuzzy technique for order preference by similarity to ideal solution (fuzzy TOPSIS) for complex project selection in organizations. To fulfill study objectives, the ... -
Application of machine learning algorithm in the sheet metal industry : an exploratory case study
(Taylor and Francis, 03.09.2021)
articleThis study solved a practical problem in a case in the sheet metal industry using machine learning and deep learning algorithms. The problem in the case company was related to detecting the minimum gaps between components, ... -
Application of Machine Learning to GNSS/IMU Integration for High Precision Positioning on Smartphone
(The Institute of Navigation, 09 / 2022)
articleThis paper describes our solution for the Google smartphone decimeter challenge (GSDC), which was held from May to August 2022. The GSDC is a competition for improving positioning accuracy of smartphones. The global ... -
Application of Multi-Criteria Decision-Making Process to Select Waste-to-Energy Technology in Developing Countries : The Case of Ghana
(MDPI, 20.11.2021)
articleMunicipal solid waste (MSW) in the Accra region of Ghana has created the need for innovative ways to deal with waste management crises facing the city. The goal of this study is to use the analytical hierarchy process (AHP) ... -
Application of opportunistic information-gap decision theory on demand response aggregator in the day-ahead electricity market
(IEEE, 21.11.2019)
conferenceObjectThe proposed model analyzes the profit of a demand response (DR) aggregator from trading DR in the day-ahead electricity market in a way that it tends to gain profit from the favorable deviations of the uncertain parameters. ... -
Application of upscaling methods for fluid flow and mass transport in multi-scale heterogeneous media : A critical review
(Elsevier, 01.12.2021)
articlePhysical and biogeochemical heterogeneity dramatically impacts fluid flow and reactive solute transport behaviors in geological formations across scales. From micro pores to regional reservoirs, upscaling has been proven ...