Binary-NeRV: Hybrid-Precision Weights Binarization for Efficient Neural Video Representation by Shanableh, Tamer

“…However, the high computational cost and full-precision storage of NeRV limit its practicality for resource-constrained and embedded platforms. …”
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Comparison of techniques for testing web applications. (c2005) by Sahyoun, Marie Joseph

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Efficient experimental design for uncertainty reduction in gene regulatory networks by Roozbeh Dehghannasiri (5725805)

“…We then estimate the approximate expected remaining MOCU at a lower computational cost using the reduced networks.</p><h3>Conclusions</h3><p dir="ltr">Simulation results based on synthetic and real gene regulatory networks show that the proposed approximate method has close performance to that of the optimal method but at lower computational cost. …”

A novel linear time corner detection algorithm by Sarfraz, M.

“…The experiments show that this method leads to good quality results and robustness to noise with low computational cost.…”
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Robust Kalman filter and smoother for errors-in-variables model with observation outliers based on Least-Trimmed-Squares by ALMutawa, Jaafar

“…However, the uniform sampling method has a high computational cost and may lead to biased estimate, therefore we apply the subsampling method. …”
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Adjoint sensitivity analysis of nonlinear distortion in radio frequency circuits by Tannir, Dani

“…In this paper, we propose an efficient and robust method for computing the sensitivity of IP3 using adjoint moments with minimal additional computational cost.…”
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Sensitivity analysis of X-parameters using the harmonic balance derivative first moment by Kassis, Marco T.

“…The proposed method is evaluated in comparison to brute force perturbation in terms of accuracy and computational cost.…”
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Computation of intermodulation distortion in RF MEMS variable capacitor circuits using moments by Tannir, Dani A.

“…As a result, the moments method becomes a general multi-domain simulation method for quantifying nonlinear intermodulation distortion, while presenting significant computational cost reduction over harmonic balance-based methods.…”
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Fast fractal stack: fractal analysis of computed tomography scans of the lung by Costa, Alceu Ferraz

“…Additionally, the FFS extraction algorithm is efficient, with a computational cost linear with respect to input image size.…”
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Attack-Specific Feature Selection for Anomaly Detection in Software-Defined Networks by Abbas, Nadine

“…These selected features can then be used to train the model which reduces the computational cost of modeling while keeping the high performance of the model. …”
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Secure and Robust Deep Learning Using Homomorphic Encryption and Adversarial Approach for Image Classification by Abbass, Ali

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Motion-Based Gait Recognition for Recognizing People in Traditional Gulf Clothing by Towheed, Mohammad Asif

“…In comparison to an existing method, it is shown that the proposed method results in much more accurate recognition results yet at a higher computational cost.…”
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An efficient second order ImEx scheme for the shallow water model in low Froude regime by Lteif, Ralph

“…To minimize the computational cost associated with solving linear systems, a fully segregated approach is used. …”
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Effect of local grid refinement on performance of scale-resolving models for simulation of complex external flows by ElCheikh, Amne

“…In the simulation of flow over urban-like obstacles, it is crucial to accurately resolve the flow characteristics with reasonable computational cost. Therefore, Large Eddy Simulations on non-uniform grids are usually employed. …”
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Numerical and experimental investigation of utilizing the porous media model for windbreaks CFD simulation by Ahmed Osama Mahgoub (17052393)

“…Numerical simulation of the airflow through windbreaks is challenging as modeling of the exact geometry needs large computational power. The computational cost can be reduced by modeling the windbreaks using the porous media model. …”

STEM: spatial speech separation using twin-delayed DDPG reinforcement learning and expectation maximization by Muhammad Salman Khan (7202543)

“…Its perceptual evaluation of speech quality (PESQ) score is 0.55 points better than a self-supervised learning (SSL) model and almost equivalent to the diffusion models at computational cost and training data which is many folds lesser than required by these algorithms. …”

On the protection of power system: Transmission line fault analysis based on an optimal machine learning approach by Md. Sihab Uddin (17542488)

“…The comparison demonstrates that the proposed model outperforms other existing techniques in terms of accuracy, computational cost, and response speed.</p><h2>Other Information</h2> <p> Published in: Energy Reports<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.egyr.2022.07.163" target="_blank">https://dx.doi.org/10.1016/j.egyr.2022.07.163</a></p>…”

Mixed Coded RF/FSO EH-Based Communication System Subject to Multiuser Interference and Residual Hardware Impairments by Souad Labghough (17983759)

“…As a consequence, the decoding method used in this investigation was shown to be adequate for the SWIPT/TS-assisted RF/FSO-coded AF cooperative communication system, requiring excellent accuracy while having a low computational cost.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" 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/access.2023.3309555" target="_blank">https://dx.doi.org/10.1109/access.2023.3309555</a></p>…”

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

“…The proposed approach can quickly and accurately predict the mechanical behaviour of the structure using a fraction of the computational cost. All created data and source codes are openly available.…”

LightEnsemble-Guard: An Optimized Ensemble Learning Framework for Securing Resource-Constrained IoT Systems by Muhammad Usama Tanveer (22225360)

“…Our method achieves a high detection accuracy of 99.55%, with strong precision, recall, and F1-score, while maintaining a low computational cost of just 22.23 seconds. To ensure robustness, we conducted 5-fold cross-validation and ROC curve evaluations, confirming the model’s reliability and generalizability. …”