Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms حسب Md Ferdous Wahid (13485799)

"…<p dir="ltr">Pressure gradient (PG) in liquid-liquid flow is one of the key components to design an energy-efficient transportation system for wellbores. This study aims to develop five robust machine learning (ML) algorithms and their fusions for a wide range of flow patterns (FP) regimes. …"

Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques حسب Abu Zitar, Raed

"…Nowadays, learning-based modeling methods are utilized to build a precise forecast model for renewable power sources. …"
احصل على النص الكامل

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

"…Ensemble schemes such as Gaussian process regression with simple averaging and gradient boosting regressors fortified by permutation feature importance improve robustness in noisy or multi-alloy environments. 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 discrete-time learning control algorithm حسب Saab, Samer S.

"…A discretized version of the D-type learning control algorithm is presented for a MIMO linear discrete-time system. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

A stochastic iterative learning control algorithm with application to an induction motor حسب Saab, Samer S.

"…A recursive optimal algorithm, based on minimizing the input error covariance matrix, is derived to generate the learning gain matrix of a P-type ILC for linear discrete-time varying systems with arbitrary relative degree. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

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

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Discrete-time learning control algorithm for a class of nonlinear systems حسب Saab, Samer S.

"…Applies a discrete-time learning algorithm to a class of discrete-time varying nonlinear system. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Teaching–learning-based optimization algorithm: analysis study and its application حسب Abualigah, Laith

"…The teaching–learning-based optimization (TLBO) algorithm is a novel nature-based optimization approach that has attracted a lot of interest from researchers because of its great capacity to handle optimization problems. …"
احصل على النص الكامل

A discrete-time stochastic iterative learning control algorithm for a class of nonlinear systems حسب Saab, S. S.

"…This article presents a stochastic algorithm that computes the learning gain matrix of a “D-type iterative learning control (ILC) algorithm for a class of discrete-time varying nonlinear systems with linear input/output actions having relative degree one. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

A discrete-time learning control algorithm for a class of linear time-invariant systems حسب Saab, Samer S.

"…A discretized version of the D-type learning control algorithm is presented for a MIMO linear discrete-time system. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text حسب M. Ghoniem , Rania

"…The previously published research on Arabic ontology learning from text falls into three categories: developing manually hand-crafted rules, using ordinary supervised/unsupervised machine learning algorithms, or a hybrid of these two approaches. …"
احصل على النص الكامل
احصل على النص الكامل

Learning control algorithms for tracking "slowly" varying trajectories حسب Saab, Samer S.

"…This is due to the requirement that all learning algorithms assume that a desired output is given a priori over the time duration t /spl isin/ ~0,T\. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Selection of the learning gain matrix of an iterative learning control algorithm in presence of measurement noise حسب Saab, Samer S.

"…The state function does not need to satisfy a Lipschitz condition. This work also provides a recursive algorithm that generates the appropriate learning gain functions that meet the arbitrary high precision output tracking objective. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Robustness and convergence rate of a discrete‐time learning control algorithm for a class of nonlinear systems حسب Saab, Samer S.

"…In this paper, we apply a discrete‐time learning algorithm to a class of discrete‐time varying nonlinear systems with affine input action and linear output having relative degree one. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Multiclass feature selection with metaheuristic optimization algorithms: a review حسب Abu Zitar, Raed

"…For this reason, this paper presents a systematic survey of literature for solving multiclass feature selection problems utilizing metaheuristic algorithms that can assist classifiers selects optima or near optima features faster and more accurately. …"
احصل على النص الكامل

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

احصل على النص الكامل

Optimal selection of the forgetting matrix into an iterative learning control algorithm حسب Saab, Samer S.

"…A recursive optimal algorithm, based on minimizing the input error covariance matrix, is derived to generate the optimal forgetting matrix and the learning gain matrix of a P-type iterative learning control (ILC) for linear discrete-time varying systems with arbitrary relative degree. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Exploring Semi-Supervised Learning Algorithms for Camera Trap Images حسب Sajun, Ali Reza

"…A Master of Science thesis in Computer Engineering by Ali Reza Sajun entitled, “Exploring Semi-Supervised Learning Algorithms for Camera Trap Images”, submitted in August 2022. …"
احصل على النص الكامل

A Novel Genetic Algorithm Optimized Adversarial Attack in Federated Learning for Android-Based Mobile Systems حسب Faria Nawshin (21841598)

"…</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Transactions on Consumer Electronics<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/tce.2025.3577905" target="_blank">https://dx.doi.org/10.1109/tce.2025.3577905</a></p>…"

Leveraging Machine and Deep Learning Algorithms for hERG Blocker Prediction حسب Syed Mohammad (21075689)

"…In summary, the current study provides a machine learning framework for computation cardiotoxicity assessment by analysis of the hERG blocker concentration cut-offs using different fingerprints at multiple thresholds.…"