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Queue Management Performance Evaluation of REM, GRED, and DropTail Algorithms by Khudhur, Fadi Hani

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Data dissemination in VANETs using clustering and probabilistic forwarding based on adaptive jumping multi-objective firefly optimization by Hamdi, Mustafa Maad, Audah, Lukman, Rashid, Sami Abduljabbar

“…For this purpose, firefly was selected, which is a type of meta-heuristic search algorithm. …”
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Sustainable energy planning for cost minimization of autonomous hybrid microgrid using combined multi-objective optimization algorithm by Ahmed Mohamed, Ahmed Haidar, Adila, Fakhar, Andreas, Helwig

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Land Use Changes in Jeli, Kelantan by Muhammad Firdaus Abdul Karim

“…Land use change percentage and urban land expansion index (SI) are selected algorithm in this study. The overall accuracy assessment ranged from 61.39% to 92.05% which is moderate to accurate. …”
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A comparative study and simulation of object tracking algorithms by Ji, Yuanfa, Yin, Pan, Sun, Xiyan, Kamarul Hawari, Ghazali, Guo, Ning

“…The algorithms using convolution features and multi-features fusion algorithms have more advantages in tracking accuracy than the algorithm using a single feature, but the tracking speed will also drop rapidly. …”
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High Viscous Fluid Transport Model by Tan, Ming Chai

“…The results obtained was analyzed and compared with the high viscous fluid flow model developed from the mathematical equations. A solution algorithm was built to solve for the mathematical model. …”
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A high-performance control scheme for photovoltaic pumping system under sudden irradiance and load changes by Talbi, Billel, Krim, Fateh, Rekioua, Toufik, Mekhilef, Saad, Laib, Abdelbaset, Belaout, Abdesslam

“…The proposed algorithm is based on a current control approach of the boost converter with a model predictive current controller to select the optimal control action. …”
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Indoor occupancy detection using machine learning and environmental sensors / Akindele Segun Afolabi ... [et al.] by Afolabi, Akindele Segun, Akinola, Olubunmi Adewale, Odetoye, Oyinlolu Ayomidotun, Adetiba, Emmanuel

“…In this paper, three algorithms were developed: the first was for outlier removal from features, the second was for feature selection, and the third was for partial-features-availability-aware ML model selection. …”
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Energy balancing mechanisms for decentralized routing protocols in wireless sensor networks by Saleh, Ahmed Mohammed Shamsan

“…Finally, we propose Self-Decision Route Selection scheme which is an improvement of the Hop-based Spanning Tree (HST) algorithm that is used in some routing protocols such as AODV and DSR. …”
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Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks by Ukasyah bin Mahamod

An In-depth Study of Ankle-Foot Orthosis Dynamics Modeling: Leveraging Non-Parametric Approach Via Artificial Neural Networks by Annisa, Jamali, Aida Suriana, Abdul Razak, Shahrol, Mohamaddan

“…Subsequently, the model structure was chosen, followed by parameter estimation through the selected algorithm. Lastly, the models underwent a thorough validation process, which included evaluating their performance using mean-squared error (MSE) and correlation tests. …”
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Meta-heuristic approaches for reservoir optimisation operation and investigation of climate change impact at Klang gate dam by Lai, Vivien Mei Yen

“…Consequently, seeking managing of reservoir optimisation operations had always been at the forefront and to improve managing, algorithms have had been presented over the past few decades, beginning with conventional algorithms, followed by heuristic algorithms, and finally, the meta-heuristic algorithms (MHAs). …”
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Energy Management Strategies for Optimal Hybrid Microgrid Configuration in the Smart Village Context by Fakhar, Adila

“…The hybrid energy management algorithm-based the PLC signal was developed using the MATLAB. …”
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Blind Source Separation Using Two-Dimensional Nonnegative Matrix Factorization In Biomedical Field by Toh, Cheng Chuan

“…Blind Source Separation (BSS) refers to the statistical technique of separating a mixture of underlying source signals.BSS denotes as a phenomena and separation on mixed heart-lung sound is one of its example.The challenge of this research is to separate the separate lung sound and heart sound from mixed heart-lung sound.A clear lung sound for diagnosis purpose able to be obtained after separating the mixed heart-lung sound.In biomedical field,lung information is precious due to it has been provided for respiratory diagnosis.However,the interference of heart sound towards lung sound will generate ambiguity and it will lead to drop down the accuracy of diagnosis.Thus,a clean lung sound is needed to increases the accuracy of diagnosis.One of the ways for non-invasive respiratory diagnosis for obtaining lung information is through extracting lung sound from mixed heart-lung sound by using Two-Dimensional Nonnegative Matrix Factorization (NMF2D) algorithm.This method is based on cocktail party effect in which it refers to human brain able to selectively listen to target among a cacophony of conversations and background noise and this considered as a difficult task to machine.Therefore, duplication on cocktail party effect into machine is used to separate the mixed heart-lung sound.This research presents a novel approach NMF2D algorithm in which a suitable model for signal mixture that accommodated the reverberations and nonlinearity of the signals.The objectives of this research are focusing on investigating the useful signal analysis algorithms,defining a new technique of signal separability,designing and developing novel methods for BSS. …”
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A broadband cooperative relay-based system for power line communication by Aiyelabowo, O. P.

“…Objective function for maximizing and minimizing the direct and cooperative transmission power was developed for optimal power ratio. The optimal power allocation (OPA) algorithm allocates one-third and two-third of the transmitted power (Pt) to the source and relay modems, direct and cooperative transmissions respectively. …”
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Tunable Sub-Nanosecond Ultra Wideband Narrow Pulse Generator For Microwave Imaging by Zalzala, Ali Mahdi Jaafar

“…The aforementioned pulse data has been simulated in a locally developed image reconstruction algorithm (EDAS) to detect hypothetical objects and the resultant images show significant quality enhancement in comparison to a Gaussian pulse (or its derivative) with an equivalent duration. …”
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