Search Results - (( panel estimation methods algorithm ) OR ( parameter destination a algorithm ))

Robust estimation methods for fixed effect panel data model having block-concentrated outliers by Abu Bakar @ Harun, Nor Mazlina

“…The Ordinary Least Squares (OLS) is the commonly used method to estimate the parameters of fixed effect panel data model. …”
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Implementation of a modified incremental conductance MPPT algorithm with direct control based on a fuzzy duty cycle change estimator using dSPACE by Radjai, T., Rahmani, L., Mekhilef, Saad, Gaubert, J.P.

“…A controlled Cuk DC-DC converter was implemented and connected to a SunTech STP085B PV panel to verify the accuracy of the proposed method. …”
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Performance analyses of various photovoltaic power plant based on local spectral irradiances in Malaysia using genetic algorithm by Lim, Song Wei

“…Besides, the genetic algorithm has showed that it is an effective and efficient way to perform estimation of optimal tilt angle and orientation angle for solar sites with genetic algorithm as it is able to produce correct and accurate result in a short amount of time.…”
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Modeling and analysis of the impact of information and communication technology on household consumption expenditure in different regions by Fan, Chaozhi, Law, Siong Hook, Ibrahim, Saifuzzaman, Naseem, N. A. M.

“…Based on the panel data of cities and towns in China, by using the generalized estimation method of a dynamic panel, through the construction of regional household consumption expenditure evaluation models, optimize the impact evaluation algorithm of household consumption expenditure in different regions, standardize critic indicators, and build the impact modeling of household consumption expenditure in combination with relevant algorithms such as the Engel coefficient. …”
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A robust parameter estimation approach based on stochastic fractal search optimization algorithm applied to solar PV parameters by Rezk H., Babu T.S., Al-Dhaifallah M., Ziedan H.A.

Modelling of multi-robot system for search and rescue by Poy, Yi Ler

“…The PSO algorithm functions as a global path planner, determining the complete path for each robot, whereas a sensor-based obstacle avoidance algorithm serves as a local planner to avoid collision with dynamic obstacles during navigation. …”
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Artificial Bee Colony for Minimizing the Energy Consumption in Mobile Ad Hoc Network by Tareq, M., Abed, S.A., Sundararajan, E.A.

“…The aim of this paper is to find the best possible route from the source to the destination based on a method inspired by the searching behaviour of bee colonies, i.e. artificial bee colony (ABC) algorithm. …”
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Analysis and evaluation of various aspects of solar radiation in the Palestinian territories by Ismail M.S., Moghavvemi M., Mahlia T.M.I.

“…Calculations of the optimized tilt and surface azimuth angles on monthly, seasonal and yearly basis were conducted, with the genetic algorithm being used for this purpose. Different PV tracking methods were also evaluated, taking into account the annual energy production. …”

Multi-objective optimization of stand-alone hybrid renewable energy system by genetic algorithm by Nejad, Mohsen Fadaee

“…Among these methods, Genetic Algorithm and Particle Swarm Optimization are known as two most effective methods for HRESs. …”
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Analysis and evaluation of various aspects of solar radiation in the Palestinian territories by Ismail, M.S., Moghavvemi, Mahmoud, Mahlia, T.M.I.

“…Calculations of the optimized tilt and surface azimuth angles on monthly, seasonal and yearly basis were conducted, with the genetic algorithm being used for this purpose. Different PV tracking methods were also evaluated, taking into account the annual energy production. …”
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Panel regression method to analyse the stock market returns due to Covid-19 / Nur Mardziah Aziz Jaafar and Noraini Noordin by Aziz Jaafar, Nur Mardziah, Noordin, Noraini

“…This study aimed to determine the aftereffects of COVID-19 pandemic outbreaks on stock markets by measuring the correlation between market returns and daily growth of total new and death cases of COVID-19. Panel regression methods, namely pooled ordinary least square and fixed-effect methods were used in this study where the dependent variable is stock market returns and independent variables were i) daily growth new death cases COVID-19 ii) natural algorithm market capitalisation iii) Brent Crude Oil Price from January 2, 2020, until March 31, 2020. …”
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Review of Network on Chip Architectures by Hussin, Fawnizu Azmadi, Hamid, Nor Hisham

“…The packet traverses along these nodes to reach the destination using routing algorithm. Conclusion: In this paper, NoC architectures are reviewed using different parameters, detail information is also provided for these parameters. …”
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A genetic approach for gateway placement in wireless mesh networks by Awadallah, Hashim, Hassan Abdalla Hashim, Aisha

“…Thus, finding near optimal solution is essential to improve the net operation. This paper proposes a novel approach to solve this problem using Genetic Algorithm (GA) to achieve a near optimal solution, considering the number of IGs and the number of hops that the packet traverses between the IG and the source/ destination MR (MR-IG). …”
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Comparison of DSR, AODV and DSDV routing protocols in mobile ad-hoc networks: A survey by Abdala, Tarek Mosbah, Dasalla, Valeriano A., Daud, Nasarudin

“…A mobile ad hoc network (MANET) is a collection of mobile nodes that is connected through a wireless medium forming rapidly changing topologies.Mantes are infrastructure less and can be set up anytime, anywhere.We have conducted survey of protocol properties of various MANET routing algorithms and analyzed them.The routing algorithms considered are classified into three categories proactive (table driven) , reactive (on demand) and Hybrid protocol.The algorithms considered are Dynamic Source Routing (DSR), Ad-hoc On-Demand Distance Vector Routing (AODV) and Destination sequence Vector (DSDV) have been proposed to solve the multi hop routing problem in Ad-hoc networks.The comparison among three routing protocols are based on the various protocol property parameters such as Routing overhead, packet delivery ratio, end-to-end delay, path optimality, and throughput are some metrics commonly used in the comparisons.…”
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Performance comparison between genetic algorithm and ant colony optimization algorithm for mobile robot path planning in global static environment / Nohaidda Sariff by Sariff, Nohaidda

“…In both global and local PP systems, a mobile robot should be able to navigate effectively until it reaches a destination without colliding with any obstacles within an environment. …”
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Collision avoidance mechanisms using artificial potential field for UAVs by Abdul Azis, Fadilah, Tan, Jie Sim, Md Ghazaly, Mariam, Mohamad Hanif, Noor Hazrin Hany

“…The developed simulation framework serves as a reproducible platform for benchmarking and future algorithmic extensions. …”
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Analysis On QOS Parameters To Predict Http Response by A.Rahman, Khairulnizam

“…Therefore, the real live world web service label data uses to evaluate the focus parameters using classification machine learning algorithms to process the data. …”
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Improving resource management with multi-instance broker scheduling algorithm in hierarchical grid computing by Yahaya, Bakri

“…Multi-Instance Broker Scheduling Algorithm (MiBSA) has been proposed as a new scheduling algorithm to get rid of the drawback from the iHLBA algorithm. …”
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Relay suitability based routing protocol for video streaming in vehicular ad-hoc network by Omar Abdulmaged, Hammood

“…The RESP estimates the geographic advancement and link stability of a vehicle towards its destination in the small region. …”
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Sequential and parallel multiple tabu search algorithm for multiobjective urban transit scheduling problems by Uvaraja, Vikneswary

“…Then, timetabling process is performed to identify a set of departure times at both origin and destination based on predefined parameters. …”
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