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. …"

Optimized Load-Scheduling Algorithm for CubeSat's Electric Power System Management Considering Communication Link حسب Bayan Hussein (16904856)

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

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

Monitoring Bone Density Using Microwave Tomography of Human Legs: A Numerical Feasibility Study حسب Alkhodari, Mohanad Ahmed

"…This study was performed using an in-house finite-element method contrast source inversion algorithm (FEM-CSI). …"
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Correlation Clustering via s-Club Cluster Edge Deletion حسب Makarem, Norma

الموضوعات: "…Cluster analysis -- Data processing…"
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Heuristic Algorithm for Obtaining Approximate Optimum Stratification With Mixture of Ratio and Product Estimators حسب S. E. H. Rizvi (22052105)

Energy utilization assessment of a semi-closed greenhouse using data-driven model predictive control حسب Farhat Mahmood (15468854)

"…The proposed model predictive control framework is flexible and can be applied to other greenhouse systems by tuning the model on the new data set.…"

A Secure and Decentralized Blockchain Based EV Energy Trading Model Using Smart Contract in V2G Network حسب Atif Iqbal (5504636)

Calibration of building model based on indoor temperature for overheating assessment using genetic algorithm: Methodology, evaluation criteria, and case study حسب Mutasim Baba, Fuad

"…This methodology includes a variance-based sensitivity analysis to determine building parameters that significantly influence indoor air temperatures, the Multi-Objective Genetic Algorithm to calibrate different rooms simultaneously based on the significant param eters identified by the sensitivity analysis, and new evaluation criteria to achieve a high-accuracy calibrated model. …"
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Large language models for code completion: A systematic literature review حسب Rasha Ahmad Husein (19744756)

Evaluation of Aerosol Optical Depth and Aerosol Models from VIIRS Retrieval Algorithms over North China Plain حسب Jun Zhu (84054)

"…The VIIRS Environmental Data Record data (VIIRS_EDR) is produced operationally by NOAA, and is based on the MODIS atmospheric correction algorithm. …"

Design of adaptive arrays based on element position perturbations حسب Dawoud, M.M.

"…The main advantage of using this technique over the other commonly used methods is that the amplitudes and phases of the array elements can be used mainly to steer the main beam towards the desired signal. …"
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Delay Optimization in LoRaWAN by Employing Adaptive Scheduling Algorithm With Unsupervised Learning حسب Zulfiqar Ali (117651)

الموضوعات:

A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method حسب Amit Kumar Balyan (18288964)

"…Due to a limited training dataset, an ML-based IDS generates a higher false detection ratio and encounters data imbalance issues. To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …"

Fault-Tolerant Network Topologies for Datacenters حسب Attia, Heba Mahmoud Helal

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

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Label dependency modeling in Multi-Label Naïve Bayes through input space expansion حسب PKA Chitra (21749216)

"…To accommodate the heterogeneity of the expanded input space, we refine the likelihood parameters of iMLNB using a joint density function, which is adept at handling the amalgamation of data types. We subject our enhanced iMLNB model to a rigorous empirical evaluation, utilizing six benchmark datasets. …"

On the periodic hierarchical Chinese postman problem حسب Muhammed Emre Keskin (19457413)