Adaptive cooperative control of nonlinear multi-agent systems with uncertain time-varying control directions and dead-zone nonlinearity حسب Maryam Shahriari-kahkeshi (17269051)

"…In this paper, a Nussbaum function is used to deal with the unknown time-varying control directions problem and a disturbance-like term in the dead-zone description is approximated by an adaptive TSK-type fuzzy system. …"

A decoding algorithm for I-Q space-time coded systems in fadingenvironments حسب Zummo, S.A.

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Genetic Algorithm Control Strategy for Heat Pump System in Battery Electric Buses حسب Al Haddad, Rabih

"…This study proposes a genetic algorithm-based control strategy that optimizes the coefficient of performance of the HP system to decrease its energy consumption and maximize the driving range. …"
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A collaborative filtering recommendation framework utilizing social networks حسب Aamir Fareed (17019087)

Predict Student Success and Performance factors by analyzing educational data using data mining techniques حسب ATIF, MUHAMMAD

"…The research study is performed as experimental analysis and develop models from nine machine learning algorithms including KNN, Naïve Bayes, SVM, Logistic regression, Decision Tree, Random forest, Adaboost, Bagging Classifier, and voting Classifier. …"
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Smart transportation solutions for faster emergency medical services response using an enhanced whale optimization algorithm حسب Hina Gupta (21842246)

"…The results obtained using different algorithms are compared with those obtained using mWOA. …"

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. …"

Advanced Quantum Control with Ensemble Reinforcement Learning: A Case Study on the XY Spin Chain حسب Farshad Rahimi Ghashghaei (20880995)

"…<p dir="ltr">This research presents an ensemble Reinforcement Learning (RL) approach that combines Deep Q-Network (DQN) and Proximal Policy Optimization (PPO) algorithms to tackle quantum control problems. This research aims to use the complementary strengths of DQN and PPO algorithms to develop robust and adaptive control policies for noisy and uncertain quantum systems. …"

Detection of Depression in Arabic Social Media: A Comparison of Traditional and Modern Machine Learning Algorithms حسب ALSHEHHI, OMAR KHALID HAMAD

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Design of PSS and STATCOM-based damping stabilizers using genetic algorithms حسب Abido, M.A.

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On Higher-Order Iterative Learning Control Algorithm in Presence of Measurement Noise حسب Saab, Samer S.

"…Higher-Order Iterative Learning Control (HO-ILC) algorithms use past system control information from more than one past iterative cycle. …"
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Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting حسب Abdelkader Baggag (16864140)

"…The learned factors, with a graph-based temporal dependency, are then used in an autoregressive algorithm to predict the future state of the road network with a large horizon. …"

A New Penalty Function Algorithm For Convex Quadratic Programming حسب Bendaya, M.

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A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units حسب El-Amin, I.

"…The performance of the Tabu search algorithm is promising. The Tabu search algorithm solved two power system problems, 4 units and 22 units. …"
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A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units حسب Duffuaa, S. O.

"…The performance of the Tabu search algorithm is promising. The Tabu search algorithm solved two power system problems, 4 units and 22 units. …"
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Parameter Estimation Of Wiener-Hammerstein Models Via Genetic Algorithms حسب Emara-Shabaik, Husam

"…In this paper, a modified genetic algorithm is used as a procedure to solve the parameter identification problem of the nonlinear Wiener-Hammerstein models. …"
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A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network حسب Xiaofang Pan (1895950)

"…Featuring the capability of learning the correlations of time-series data, the proposed deep learning method is well-suited for extracting the valuable transient feature contained in the very beginning of the response curve. …"

Enhanced Control of Single-Stage PV-STATCOM Using Hybrid MPPT and Adaptive AHLMS for Power Quality Improvement حسب Nagwa F. Ibrahim (17334201)

The effects of data balancing approaches: A case study حسب Paul Mooijman (4453189)

"…<p dir="ltr">Imbalanced datasets affect the performance of machine learning algorithms adversely. To cope with this problem, several resampling methods have been developed recently. …"

The application of control algorithm for optimal performance of evaporatively-cooled façade system in hot dry and humid weathers حسب Albert, Al Touma

"…The optimization of the system parameters is expected to overcome the limitations of using evaporative coolers in humid countries. …"
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