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Solution of Lossless Broadband Matching Problems via Insertion Loss Method
(Institute of Electrical and Electronics Engineers Inc., 2021)
In this work, lossless broadband matching problem with complex generator and load impedances is solved via insertion loss method that is used to design filters with purely resistive generator and load impedances. In the ...
Fast Immune System Inspired Hypermutation Operators for Combinatorial Optimisation
(Institute of Electrical and Electronics Engineers Inc., 2021)
Various studies have shown that immune system inspired hypermutation operators can allow artificial immune systems (AIS) to be very efficient at escaping local optima of multimodal optimisation problems. However, this ...
Optimum utilization of on-demand manufacturing and laser polishing in existence of supply disruption risk
(Elsevier, 2022)
3D printing has moved from being a rapid prototyping tool to an additive manufacturing method within the last decade. Additive manufacturing can satisfy the need in dire situations where spare parts distribution is an issue ...
Machine Learning Applications in Internet-of-Drones: Systematic Review, Recent Deployments, and Open Issues
(Assoc Computing Machinery, 2023)
Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) has lately cropped up due to high adjustability ...
Applications of ML/DL in the management of smart cities and societies based on new trends in information technologies: A systematic literature review
(Elsevier, 2022)
The goal of managing smart cities and societies is to maximize the efficient use of finite resources while enhancing the quality of life. To establish a sustainable urban existence, smart cities use some new technologies ...
A comprehensive and systematic literature review on the big data management techniques in the internet of things
(Springer, 2023)
The Internet of Things (IoT) is a communication paradigm and a collection of heterogeneous interconnected devices. It produces large-scale distributed, and diverse data called big data. Big Data Management (BDM) in IoT is ...
A new service recommendation method for agricultural industries in the fog-based Internet of Things environment using a hybrid meta-heuristic algorithm
(Pergamon-Elsevier Science Ltd, 2022)
Regardless of public perceptions of the agricultural techniques, the fact is that the current agriculture industry is more data-driven, accurate, and intelligent than before. Therefore, novel technologies such as fog ...
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 ...
Cascaded H-bridge multilevel inverters optimization using adaptive grey wolf optimizer with local search
(Springer, 2021)
With the transformation of transmission and distribution grids into smart grids that are more dominated by renewable energy, power electronics-based inverters that can improve power quality are becoming more visible. In ...
The Arithmetic Optimization Algorithm for Optimal Energy Resource Planning
(IEEE, 2021)
This study presents a new formulation regarding optimal placement and sizing of multi-type distributed generations (DGs) and energy storage systems (ESSs) to enhance the reliability of a radial distribution system and to ...