Datasets

subject: Computer Science

Total is 303 Results
32-digit values of the first 100 recurrence coefficients for the bimodal weight function with parameter ε=1

10.4231/R7BK19B6

Walter Gautschi ORCID logo

01/03/2017

32-digit values of the first 100 recurrence coefficients for the weight function w(x)=exp[-(x^2-1)^2/(4*ε)] on [-Inf,Inf], ε=1

Computer Science Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions

32-digit values of the first 100 recurrence coefficients for the bimodal weight function with parameter ε=.02

10.4231/R7319SWH

Walter Gautschi ORCID logo

01/03/2017

32-digit values of the first 100 recurrence coefficients for the weight function w(x)=exp[-(x^2-1)^2/(4*ε)] on [-Inf,Inf], ε=.02

Computer Science Mathematics Modification algorithms for orthogonal polynomials Orthogonal polynomials Walter Gautschi Archives weight functions

Longitudinal password data set varying with policy

10.4231/R72V2D12

Brian Curnett , Melissa J. Dark

06/02/2015

The data set included the participants' identification number (USER ID), the participants' assigned password policy identification number (POLICY ID), and seven iterations of passwords (PASSWORD 1-7).

Computer Science Longitudinal Study Password Analysis Password Policies Passwords Real-World Passwords

Scripts for a discrete top-down Markov problem in approximation theory

10.4231/R74Q7RX0

Walter Gautschi ORCID logo

10/04/2016

Matlab scripts for a discrete top-down Markov problem in approximation theory

approximation theory Computer Science Mathematics polynomials Walter Gautschi Archives

Localization of Urban Trees across the USA with Generative AI

10.4231/7AK0-1P48

Adnan Firoze ORCID logo , Akshaj Uppala , Bedrich Benes ORCID logo , Brady Hardiman , Daniel Aliaga , Lindsay Darling , Raymond Yeh , Songlin Fei ORCID logo

12/12/2023

We use deep learning to provide a novel solution to map all trees on both public and private lands across 330 United States (U.S.) cities. This repository contains the dataset and code base.

Computer Science Computer Vision Ecology Pattern Recognition urban forestry urban tree

DRSP-Sim: A Simulator for Ride-sharing with Pooling: Joint Matching,Pricing, Route Planning, and Dispatching

10.4231/GDFY-5A56

Bharat Bhargava ORCID logo , Marina Haliem ORCID logo , Vaneet Aggarwal ORCID logo

08/31/2021

Significant development of ride-sharing services presents a plethora of opportunities to transform urban mobility by providing personalized and convenient transportation while ensuring the efficiency of large-scale ride pooling.

Computer Science Deep Q-Network Deep Reinforcement Learning ridesharing Route Planning shared mobility Vehicle Dispatching Vehicle Routing

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