Abstract: This paper proposes a novel iterative gradient-based optimization approach aimed at achieving more precise and streamlined approximations for the Gaussian Q function—an essential element in ...
We derive the mathematical expectation of the projection error (Top left), visualize the graph of the error function under two distinct domains and analyze when this ...
ABSTRACT: The purpose of this study was to address the challenges in predicting and classifying accuracy in modeling Container Dwell Time (CDT) using Artificial Neural Networks (ANN). This objective ...
The climbing-image nudged elastic band (CI-NEB) method serves as an indispensable tool for computational chemists, offering insight into minimum-energy reaction paths (MEPs) by delineating both ...
ABSTRACT: To make the problems of existing high requirements of calibration tools, complex global calibration process addressed for monocular multi-view visual measurement system during measurement, ...
Abstract: In this paper, we study the computation of the rate-distortion-perception function (RDPF) for a multivariate Gaussian source assuming jointly Gaussian ...
School of Computer Science, University of Petroleum and Energy Studies (UPES), Dehradun, India This research paper introduces a family of one-dimensional S-unimodal maps based on the Gaussian function ...
The traditional analog function generator with its customary triple-threat ensemble of square, triangle, and sine waveform outputs is a familiar tool on electronics lab benches. It’s also a classical ...
pip install ./diff-gaussian-rasterization failed with an Error : file not found Processing c:\ai\dream\diff-gaussian-rasterization Preparing metadata (setup.py ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
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