Improved scatter search algorithm for predicting all-atoms protein structures using charmm22 energy model. (c2010) حسب Ghalayini, Iman Adnan

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Prediction of EV Charging Behavior Using Machine Learning حسب Shahriar, Sakib

"…Using data-driven tools and machine learning algorithms to learn the EV charging behavior can improve scheduling algorithms. …"
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An Effective Hash Based Assessment and Recovery Algorithm for Healthcare Systems حسب Boukhari, Bahia

"…Finally, the experimental results prove the improvements provided by our hash based algorithm over previously suggested models.…"
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GenDE: A CRF-Based Data Extractor حسب Kayed, Mohammed

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Intelligent Fusion of Deep Features for Improved Waste Classification حسب Kashif Ahmad (12592762)

الموضوعات:

Forecasting the nearly unforecastable: why aren’t airline bookings adhering to the prediction algorithm? حسب Saravanan Thirumuruganathan (11038038)

"…The resulting model achieves an 89% predictive accuracy using historical data. …"

Deploying model obfuscation: towards the privacy of decision-making models on shared platforms حسب Sadhukhan, Payel

"…The implementation nuances involve data and model sharing among allies and partners working on the same domain. …"
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Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment حسب Farhat Mahmood (15468854)

"…First, an analytical model based on mass and energy balance and a data-driven model based on an artificial neural network is developed, and their prediction performance is compared. …"

Scatter search for protein structure prediction. (c2008) حسب Kehyayan, Christine Houry

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Predicting Dropouts among a Homogeneous Population using a Data Mining Approach حسب BILQUISE, GHAZALA

"…Our research relies solely on pre-college and college performance data available in the institutional database. Our research reveals that the Gradient Boosted Trees is a robust algorithm that predicts dropouts with an accuracy of 79.31% and AUC of 88.4% using only pre-enrollment data. …"
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Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications حسب Daoud, Mohammad Sh.

"…This paper introduces a comprehensive survey of a new population-based algorithm so-called gradient-based optimizer (GBO) and analyzes its major features. …"
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A utility-based algorithm for joint uplink/downlink scheduling in wireless cellular networks حسب Saad, Walid

"…In this work, we propose a utility-based joint uplink/downlink scheduling algorithm suitable for wireless services involving pairwise communication among mobile users. …"
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A Deployment Optimization Model for Wimax Base-Stations حسب Aboualmal, Abdulhadi Mahmoud

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Estimating Construction Project Duration Using a Machine Learning Algorithm حسب Nasr, Joshua

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Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks حسب Najam Us Sahar Riyaz (22927843)

"…At the same time, virtual sample augmentation and genetic algorithm feature selection elevate sparse data performance, raising k-nearest neighbor models from R² = 0.05 to 0.99 in a representative thiophene set. …"

A Novel Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model حسب Md. Nazmul Islam Shuzan (16888827)

New algorithm based active method to eliminate stick-slip vibrations in drill string systems حسب Fourat Zribi (21347900)

"…In this paper, a novel adaptive sliding mode (SM) controller is proposed to eliminate stick slip in drill string systems. This proposed algorithm has a more robust capacity than existing 1st-order SM schemes in the literature regarding the robustness to parametric uncertainties, variations in weight on bit (WOB), variations in reference velocity and measurement noise. …"

The Use of Microwave Tomography in Bone Healing Monitoring حسب Alkhodari, Mohanad Ahmed

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Sample intelligence-based progressive hedging algorithms for the stochastic capacitated reliable facility location problem حسب Nezir Aydin (8355378)

"…We present the effectiveness of the developed integrated approaches, Sampling Based Progressive Hedging Algorithm (SBPHA) and Discarding SBPHA (d-SBPHA), over the pure strategies (i.e. …"

Heuristic Algorithm for Obtaining Approximate Optimum Stratification With Mixture of Ratio and Product Estimators حسب S. E. H. Rizvi (22052105)