Indoor Impulsive Acoustic Source Localization Methods utilizing Sparse Signal Reconstruction Algorithms حسب unknown

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Adaptive Time-Varying Brain Source Localization حسب Al-Momani, Sajedah A.

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Reconstruction and simulation of neocortical microcircuitry حسب Khazen, Georges

"…The reconstruction uses cellular and synaptic organizing principles to algorithmically reconstruct detailed anatomy and physiology from sparse experimental data. …"
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L₂min^2/2s: Efficient Linear Reconstruction Filter for Incremental Delta-Sigma ADCs حسب Bo Wang (86769)

Machine Learning-based X-Ray Projection Interpolation for Improved 4D-CBCT Reconstruction حسب Ramesh, Jayroop

"…Respiration-correlated cone-beam computed tomography (4D-CBCT) is an X-ray-based imaging modality that uses reconstruction algorithms to produce time-varying volumetric images of moving anatomy over a cycle of respiratory motion. …"
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ECG Signal Reconstruction on the IoT-Gateway and Efficacy of Compressive Sensing Under Real-Time Constraints حسب Mohammed Al Disi (16855407)

"…Results show that both the orthogonal matching pursuit and subspace pursuit reconstruction algorithms can be executed on the platform in real time and yield optimum performance on a single A15 core at minimum frequency. …"

DoFP-ML: A Machine Learning Approach to Food Quality Monitoring Using a DoFP Polarization Image Sensor حسب Maen Takruri (10873368)

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

"…We have presented a novel scheme for detecting corners of a planner object SRM05. The core of the algorithm is based upon slope analysis. The complexity of our algorithm is linear. …"
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MLMRS-Net: Electroencephalography (EEG) motion artifacts removal using a multi-layer multi-resolution spatially pooled 1D signal reconstruction network حسب Sakib Mahmud (15302404)

"…Because the diagnosis of many neurological diseases is heavily reliant on clean EEG data, it is critical to eliminate motion artifacts from motion-corrupted EEG signals using reliable and robust algorithms. Although a few deep learning-based models have been proposed for the removal of ocular, muscle, and cardiac artifacts from EEG data to the best of our knowledge, there is no attempt has been made in removing motion artifacts from motion-corrupted EEG signals: In this paper, a novel 1D convolutional neural network (CNN) called multi-layer multi-resolution spatially pooled (MLMRS) network for signal reconstruction is proposed for EEG motion artifact removal. …"

A fast exact sequential algorithm for the partial digest problem حسب Mostafa M. Abbas (17058093)

"…The percentage of improvement is more than 75% over the best known practical algorithm for the worst case. For large numbers of inputs, our algorithm is able to solve the problem in a suitable time, while the best known practical algorithm is unable.…"

Properties of Unique Degree Sequences of 3-Uniform Hypergraphs حسب Tarsissi, Lama

"…This property makes us conjecture that the reconstruction of these hypergraphs from their degree sequences can be done in polynomial time. …"
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Evaluation of C-arm CT metal artifact reduction algorithm during intra-aneurysmal coil embolization حسب Chintalapani, Gouthami

"…These images were reconstructed without and with MAR algorithm on an offline workstation and compared using quantitative image analysis metrics. …"
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When to Graft the Incised Plate During TIP Repair? A Suggested Algorithm That may Help in the Decision-Making Process حسب Tariq O. Abbas (11247771)

Microwave brain imaging system to detect brain tumor using metamaterial loaded stacked antenna array حسب Amran Hossain (570706)

"…After that, the scattering parameters are collected, analyzed, and then processed by the Iteratively Corrected delay-multiply-and-sum algorithm to detect and reconstruct the brain tumor images. …"

An Alternating Projection Framework for Elementwise Masked Nonlinear Matrix Decomposition حسب Kulathil, Muhammed Noshin Poovan

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An Adaptive Joint Sparsity Recovery for Compressive Sensing Based EEG System حسب Hamza Djelouat (14603379)

"…In addition, the paper exploits the joint sparsity of multichannel EEG using subspace pursuit (SP) algorithm as well as a designed sparsifying basis in order to improve the reconstruction quality. …"

Brain Source Localization in the Presence of Leadfield Perturbations حسب Momin, Rabiya Nakhat

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Shuffled Linear Regression with Erroneous Observations حسب Saab, Samer S.

"…The proposed algorithm aims for per-iteration minimization of the mean square estimate error. …"
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Systems biology analysis reveals NFAT5 as a novel biomarker and master regulator of inflammatory breast cancer حسب Andrea Remo (447375)

"…</p><h3>Methods</h3><p dir="ltr">In-silico modeling and Algorithm for the Reconstruction of Accurate Cellular Networks (ARACNe) on IBC/non-IBC (nIBC) gene expression data (n = 197) was employed to identify novel master regulators connected to the IBC phenotype. …"

Enhancement of two-dimensional holographic images by resolutionimprovement through hologram aperture expansion حسب Abdel-Aal, R.E.

"…The application of the 1-D aperture expansion algorithm to 2-D holograms is demonstrated for the cases of 1-point, 2-point, and quasi-continuous objects in the presence of noise. …"
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