IEEE

Structured Sparse mmWave 3-D SAR Imaging via Truncated-DCT and Toeplitz Matrix Methods

Abstract: High-resolution millimeter-wave (mmWave) 3-D synthetic aperture radar (SAR) imaging typically requires dense spatial sampling over large arrays or structured scanning trajectories. This ...
Hacker

Document-Term Matrix in NLP: Count and TF-IDF Scores Explained

Natural Language Processing (NLP) is a subfield of Linguistics and Computer Science that deals with processing and understanding huge volumes of unstructured text data. To leverage NLP to analyze ...
GitHub

PHP Class for handling Matrices

If you've previously been using procedural calls to functions and operations using this library, then from version 3.0 you should use MarkBaker/PHPMatrixFunctions instead (available on packagist as ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using pseudo-inverse training. Compared to other training techniques, such as stochastic gradient descent, ...
C&EN

Thermal racemization of diaryl, alkyl aryl, and dialkyl sulfoxides by pyramidal inversion

Smart citations by scite.ai include citation statements extracted from the full text of the citing article. The number of the statements may be higher than the number of citations provided by ACS ...
Visual Studio Magazine

Matrix Inverse Using Newton Iteration with C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...
ahajournals.org

Left Ventricular Hypertrophy in Aortic Stenosis: Early Cell and Matrix Regression 2 Months Post-Aortic Valve Replacement

In aortic stenosis, the myocardium responds with left ventricular hypertrophy, which is characterized by increased left ventricular mass due to cellular hypertrophy and extracellular matrix expansion.
GitHub

MatthewJA/Inverse-Reinforcement-Learning

Implements selected inverse reinforcement learning (IRL) algorithms as part of COMP3710, supervised by Dr Mayank Daswani and Dr Marcus Hutter. My final report is available here and describes the ...
IEEE

Modifications of Fully Resampled PSO in the Inverse Kinematics of Robot Manipulators

Abstract: Inverse kinematics involves calculating joint configurations for a robot manipulator to perform tasks. To solve this problem, various approaches have been proposed, including meta-heuristics ...
Frontiers

A Markov Regime Switching Model for Ultra-Short-Term Wind Power Prediction Based on Toeplitz Inverse Covariance Clustering

The rapid development of wind energy has brought a lot of uncertainty to the power system. The accurate ultra-short-term wind power prediction is the key issue to ensure the stable and economical ...
Frontiers

Oriented Neural Spheroid Formation and Differentiation of Neural Stem Cells Guided by Anisotropic Inverse Opals

Isotropic inverse opal structures have been extensively studied for the ability to manipulate cell behaviors such as attachment, migration, and spheroid formation. However, their use in regulate the ...