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Balancing Exploitation And Exploration Search Behavior On Nature-Inspired Clustering Algorithms by Alswaitti, Mohammed Y. T.

“…Hence, this research has proposed three enhanced frameworks, namely, Optimized Gravitational-based (OGC), Density-Based Particle Swarm Optimization (DPSO), and Variance-based Differential Evolution with an Optional Crossover (VDEO) frameworks for data clustering. …”
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Multi-sources data fusion framework for remote triage prioritization in telehealth by Salman, Omar H., A. Rasid, Mohd Fadlee, Saripan, M. Iqbal, K. Subramaniam, Shamala

“…As telemonitoring system consists of three tiers (Sensors/ sources, Base station and Server), the simulation of the MSHA algorithm in the base station is demonstrated in this paper. …”
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GMSD-based perceptually motivated non-local means filter for image denoising by Baqar, Mohtashim *, Lau, Sian Lun *

“…Further, the proposed methodology also helps in mitigating the patch jittering blur effect (PJBE) and over smoothing of denoised images as observed with conventional NLM algorithm. Experimental evaluations based on visual-quality assessment and least-square based metrics have shown that the proposed algorithm yields better denoised image estimates than the conventional NLM algorithm. …”
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Design and Implementation of Intelligent Interoperability Framework for Heterogeneous Subsystems in Smart Home Environment by Perumal, Thinagaran

“…The first algorithm, named as Framework Initialization algorithm, is developed to initialize the framework and discovering the subsystems configured in order to derive the interoperation tasks. …”
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An improved data classification framework based on fractional particle swarm optimization by Sherwani, Fahad

“…Therefore, this research proposed an improved Mutually-Optimized Fractional PSO (MOFPSO) algorithm based on fractional derivatives and small step lengths to ensure convergence to global optima by supplying a fine balance between exploration and exploitation. …”
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Programmable Spatially Variant Single Pixel Imaging Based On Compressive Sensing by Shin, Zhen Yong

“…ReconNet Moreover , outperforms the conventional CS image recovery algorithms. This shows that the pro posed SVR approach with ReconNet is more suitable than the conventional approaches for practical cases.…”
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Adapting robot kinematics for human-arm motion recognition by Chan, C.S., Liu, H., Brown, D.

“…This paper presents a novel method to the analysis of human-arm motion, in particular improving the efficiency of conventional motion recognition algorithms. Contrary to the prior art methods, this research develops a framework for human-arm motion recognition where qualitative normalised templates (QNTs) is proposed to replace the conventional approaches. …”
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Global-Local Partial Least Squares Discriminant Analysis And Its Extension In Reproducing Kernel Hilbert Space by Muhammad, Aminu

“…Thus, subspace learning techniques are employed to reduce the dimensionality of the data prior to employing other learning algorithms. Recently, there has been a lot of interest in subspace learning techniques that are based on the global and local structure preserving (GLSP) framework. …”
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Energy-efficient power allocation for downlink non orthogonal multiple access networks based on game theory and genetic algorithm / Reem Mustafa Mah’d Al Debes by Reem Mustafa , Mah’d Al Debes

“…The research leverages Artificial Intelligence (AI)-based Genetic Algorithms (GA) and game theory to address critical challenges in resource allocation. …”
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Overhead view based person counting using deep learning by Kaw, Chee Zhao

“…Third, the accurate tracking of each detected person is performed using the deep learning based tracking framework, known as DeepSORT. Lastly, the performance of the proposed system is benchmarked based on the detection accuracy, frames per second (FPS) and counting accuracy. …”
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Machine-Learning Based QoE Prediction For Dash Video Streaming by Tan, Jun Yuan

“…The aim of this project is to propose a deep-learning-based QoE prediction method. The starting point of the project is a state-of-the-art framework called DeepQoE, which encompasses three phases: feature pre-processing, representation learning and QoE predicting phase. …”
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Resource allocation technique for powerline network using a modified shuffled frog-leaping algorithm by Altrad, Abdallah Mahmoud Mousa

“…The main goal of this work is to develop a conceptual framework and mathematical model for resource allocation using Shuffled Frog-Leap Algorithm (SFLA). …”
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Adaptive-model based self-tuning generalized predictive control of a biodiesel reactor / Ho Yong Kuen by Ho, Yong Kuen

“…Traditionally, the Recursive Least Squares (RLS) algorithm was used in the Generalized Predictive Control (GPC) framework solely for model adaptation purposes. …”
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Application and evaluation of the evolutionary algorithms combined with conventional neural network to determine the building energy consumption of the residential sector by Wang G., Mukhtar A., Moayedi H., Khalilpoor N., Tt Q.

“…The primary objectives were to assess the performance of three evolutionary algorithms ? Heap-Based Optimizer (HBO), Multiverse Optimizer (MVO), and Whale Optimization Algorithm (WOA) ? …”

Development of a scalable video compression algorithm by Khalifa, Othman Omran, Issa, Sinzobakwira, Olanweraju, Rashidah Funke, Al Khazmi, El Mahdi A

“…The result shows that the managed complexity algorithm based on Lagrangian Multiplier function outperforms the normal encoder. …”
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Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh by Rawaa Dawoud Hassan, Al-Dabbagh

“…ARDE algorithm makes use of JADE strategy and the MDE_pBX parameters adaptive schemes as frameworks. …”
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Multi-criteria optimization framework for cloudlet computing in WMANs: integrating VL-WIDE and AHP for enhanced decision-making by Muwafaq, Layth, Noordin, Nor K, Othman, Mohamed, Ismail, Alyani, Hashim, Fazirulhisyam

“…The analytical hierarchy process (AHP) is incorporated to balance the relative importance of these multiple criteria based on decision-maker preferences. Comprehensive time-series evaluations demonstrate that our framework significantly outperforms conventional systems and other benchmark algorithms, with VL-WIDE and AHP achieving the lowest root mean square error (RMSE) of 16.7, a 5.1% improvement over random selection. …”
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A technical framework analysis of digital twin control algorithms for HVAC-BMS Integration and implementation challenges for Malaysian green buildings by Norazam, Nur Muhamad Afif, Mohd Noh, Hamidun, Ishak, Mohd Hafizal, Zulkefli, Nursyazwani, Jumali, Muhammad Arif, Brown, Jeffery Jep

“…MPC-based Digital Twins demonstrate superior temperature control accuracy (± 0.4 C vs. ± 1.8 C) and humidity control precision (± 2.3 % RH vs. ± 7.5 % RH) compared to conventional systems. …”
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Interactive Fuzzy Logic Interface for Enhanced Real-Time Water Quality Index Monitoring by Amar Lokman, Wan Zakiah Wan Ismail, Nor Azlina Ab Aziz, Anith Khairunnisa Ghazali

A new framework for multi-partition finite state machine low power design based on genetic algorithm by Masoumidezfouli, Seyedhossein

“…Many researchers use a variety of algorithms to optimize a solution. Among these methods is the genetic algorithm (GA)-based optimization, that technique shows a high performance to reduce FSM power consumption. …”
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