Search Results - (( variable information access algorithm ) OR ( java application reoptimize algorithm ))
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Building norms-adaptable agents from Potential Norms Detection Technique (PNDT)
Published 2023Short Survey -
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Forecasting and Trading of the Stable Cryptocurrencies With Machine Learning and Deep Learning Algorithms for Market Conditions
Published 2023“…The digital market trend is rapidly expanding due to key characteristics like decentralization, accessibility, and market diversity enabled by blockchain technology. …”
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ANALYSIS OF PERFORMANCE PARAMETERS FOR WIRELESS NETWORK USING SWITCHING MULTIPLE ACCESS CONTROL METHOD
Published 2023“…Therefore, this work discusses the effectiveness of the developed approach to minimize the cell packet losses and network traffic overload in wireless ATM. Three control access is processed; polling, token passing, and reservation algorithms for collision avoidance. …”
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Machine Learning Classifications of Multiple Organ Failures in a Malaysian Intensive Care Unit
Published 2025“…The feature selection shows respiratory rate and mean arterial pressure (MAP) as the most important variables using chi-square test while insulin and fraction of oxygenated hemoglobin are the most important predictors by the mutual information test. ? …”
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Providing dynamic TXOP for QoS support of video transmission in IEEE 802.11e WLANs
Published 2015“…The proposed scheduling algorithm has been evaluated using simulation with different variability level video streams. …”
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Google the earth: what's next?
Published 2010“…As imagery has become more accessible and more affordable in recent years, there is also a growing convergence of imagery and geographic information system (GIS) applications. …”
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Adaptive multi-polling scheduler for QoS support of video transmission in IEEE 802.11e WLANs
Published 2016“…In this paper, we present a dynamic TXOP assignment algorithm called adaptive multi-polling TXOP scheduling algorithm (AMTXOP) for supporting the video traffics transmission over IEEE 802.11e wireless networks. …”
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Recommendation System Model For Decision Making in the E-Commerce Application
Published 2024thesis::doctoral thesis -
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Estimating Forest Aboveground Biomass Density Using Remote Sensing and Machine Learning : A RSME Approach
Published 2025“…The model's strong predictive performance (R2 = 0.77) implies that the independent variables accounted for 77% of the variability in the AGB. …”
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Enhanced Taguchi�s T-method using angle modulated Bat algorithm for prediction
Published 2023Article -
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