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A new capacitive coupler design for wireless capacitive power transfer applications
(Elsevier - Division Reed Elsevier India Pvt Ltd, 2023)
Capacitive power transfer (CPT) technology has become a promising alternative solution for wireless charging applications. This paper proposes a novel coupler design to form a resonant capacitor by inserting dielectric ...
Efficiency analysis technique with input and output satisficing approach based on Type-2 Neutrosophic Fuzzy Sets: A case study of container shipping companies
(Pergamon-Elsevier Science Ltd, 2023)
This work tries to discuss and evaluate the advantages and superiorities of the extended Efficiency Analysis Technique with Input and Output Satisficing (EATWIOS) method based on Type-2 Neutrosophic Fuzzy Numbers (T2NFNs). ...
Fresh food supplier selection for global retail chains via bipolar neutrosophic methodology
(Elsevier Sci Ltd, 2023)
Due to increases in world population, rapid urbanization, increasing environmental pollution, and poorly managed food supply chains (FSCs), supplying clean and reliable agri-food has become more critical. Furthermore, ...
Mobile crane selection in project logistics operations using Best and Worst Method (BWM) and fuzzy Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS)
(Elsevier, 2023)
Statistics on occupational accidents published by international organizations show that mobile cranes are the riskiest heavy equipment among all crane types. The most significant reason for these crane accidents is the ...
Sustainability performance analysis of micro-mobility solutions in urban transportation with a novel IVFNN-Delphi-LOPCOW-CoCoSo framework
(Pergamon-Elsevier Science Ltd, 2023)
Almost all megacities worldwide are under pressure from environmental pollution and excessive resource usage due to rapid urbanization and increasing urban population. Within this scope, micro-mobility solutions (MMSs), ...
Vulnerable populations with psychological disorders in tourism: Methodological challenges and recommended solutions for empirical research
(Elsevier Sci Ltd, 2023)
Vulnerable groups, including travel-eligible tourists with medical conditions (e.g., early- and mid-stage dementia), represent an emerging niche market in the tourism industry that has been largely overlooked in the tourism ...
A QoS-based technique for load balancing in green cloud computing using an artificial bee colony algorithm
(Taylor & Francis Ltd, 2023)
Nowadays, high energy amount is being wasted by computing servers and personal electronic devices, which produce a high amount of carbon dioxide. Thus, it is required to decrease energy usage and pollution. Many applications ...
Chemical profile, antiproliferative and antibacterial activities and docking studies of essential oil and hexane fraction of hydrosol from fresh leaf of Plectranthus amboinicus (Lour.) Spreng.
(Pergamon-Elsevier Science Ltd, 2023)
Essential oils are commonly extracted from plants by hydrodistillation in which an aqueous phase called hydrosol is obtained. Like essential oil, this by-product of distillation can be a source of natural bioactive molecules ...
Deep learning based combining rule for the estimation of vapor-liquid equilibrium
(Springer Heidelberg, 2023)
Vapor-liquid equilibrium (VLE) data plays a vital role in the design, modeling and control of process equipment. In this study, to estimate the VLE data of binary systems, a deep neural network (DNN)-based combining rule ...
Seismic Assessment and Retrofit of Pre-Northridge High Rise Steel Moment Resisting Frame Buildings with Bilinear Oil Dampers
(Mdpi, 2023)
This paper presents quantitative information on the effectiveness of seismic retrofit solutions using bilinear oil dampers for seismically deficient existing tall steel buildings. For this purpose, a benchmark 40-story ...