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. …"

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. …"
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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. …"
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Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory حسب Nadia Rasheed (22997257)

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. …"
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Deep Learning-Based Coding Strategy for Improved Cochlear Implant Speech Perception in Noisy Environments حسب Billel Essaid (22047578)

"…These processes begin with capturing speech in analog form and applying signal processing algorithms to ensure compatibility with devices like cochlear implants (CIs). …"

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. …"
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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. …"
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Design of acoustic absorbing metasurfaces using a data-driven approach حسب Hamza Baali (14603380)

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On the Optimization of Band Gaps in Periodic Waveguides حسب Jamil Renno (14070771)

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Learning-Based Space-Time Adaptive Processing حسب El Khatib, Alaa

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Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review حسب Francisco Monteiro-Guerra (16864122)

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Nonlinear analysis of shell structures using image processing and machine learning حسب M.S. Nashed (16392961)

"…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …"

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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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\. …"
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Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices حسب Khawam, Yahya Bader

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CNN and HEVC Video Coding Features for Static Video Summarization حسب Issa, Obada

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

"…This work also provides a recursive algorithm that generates the appropriate learning gain functions that meet the arbitrary high precision output tracking objective. …"
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Novel algorithms for accurate DNA base-calling حسب Mohammed, Omniyah Gul

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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. …"
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