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Branch outage simulation based contingency screening by gravitational search algorithm
(Praise Worthy Prize Srl, 2012)
Power systems contingency analysis is an important issue for electric power system operators. This paper performs branch outage simulation based contingency screening using a bounded network approach. Local constrained ...
An Adaptive Affinity Matrix Optimization for Locality Preserving Projection via Heuristic Methods for Hyperspectral Image Analysis
(IEEE-Inst Electrıcal Electronıcs Engıneers Inc, 2019)
Locality preserving projection (LPP) has been often used as a dimensionality reduction tool for hyperspectral image analysis especially in the context of classification since it provides a projection matrix for embedding ...
Energy-Efficient Resources Allocation with Millimeter-Wave Massive MIMO in Ultra Dense HetNets by SWIPT and CoMP
(Institute of Electrical and Electronics Engineers Inc., 2021)
Ultra-dense HetNets (UDN)-based Millimeter-Wave (mmWave) massive MIMO is considered a promising technology for 5th generation (5G) wireless communications systems since it can offer massively available bandwidth and improve ...
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 ...
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 ...
Solution approaches for the bi-objective Skiving Stock Problem
(Pergamon-Elsevier Science Ltd, 2023)
The Skiving Stock Problem (SSP) aims to determine an optimal plan for producing as many large objects as possible by combining small items. The skiving process may need different considerations depending on the production ...
A YARN-based Energy-Aware Scheduling Method for Big Data Applications under Deadline Constraints
(Springer, 2022)
Hadoop is a distributed framework for processing big data. One of the critical parts of Hadoop is YARN, which carries out scheduling and resource management. A scheduling algorithm should consider multiple objectives. ...
A New Decision-Making Method for Service Discovery and Selection in the Internet of Things Using Flower Pollination Algorithm
(Springer, 2022)
The Internet of Things (IoT) enables intelligent and heterogeneous things to access the Internet and subsequently interact and share info. A service management methodology is required by growing IoT applications and the ...