We used the GPS estimates computed from these four algorithms with the generalized doubly robust (GDR) estimator to estimate ATEs in observational studies. We evaluated these ATE estimates in terms of bias and
The repository is a collection of open-source implementations of a variety of algorithms implemented in C and licensed under GPLv3 License. The algorithms span a variety of topics from computer science, mathematics and statistics, data science, machine learning, engineering, etc.. The implementations...
This repository is a collection of open-source implementation of a variety of algorithms implemented in C++ and licensed underMIT License. These algorithms span a variety of topics from computer science, mathematics and statistics, data science, machine learning, engineering, etc.. The implementations...
Machine learningDownscaling techniqueThis study aimed to develop and assess the feasibility of different machine learning algorithms for predicting ore production in open-pit mines based on a truck-haulage system with the support of the Internet of Things (IoT). Six machine learning algorithms, namely...
In the first step, machine learning models were used to approximate the price of agricultural commodities so that insurance algorithms could identify pricing and trend behaviors with accuracy. The static or non-stationary complicated behavior of input data can be captured by machine learning models [...
Classification of Prediabetes and Healthy Subjects in Plantar Infrared Thermal Imaging Using Various Machine Learning Algorithms 使用各种机器学习算法在足底红外热成像中对糖尿病前期和健康受试者进行分类 相关领域 糖尿病前期 鞋跟 医学 热成像 机器学习 算法 糖尿病 口腔正畸科 人工智能 数学 计算机科学 红外线...
These algorithms are adopted in many industries, particularly in sectors or applications that do not have well-defined governing equations or where the process is too complex for mathematical representation and solution. Supervised machine learning involves training a model on a defined dataset acquired ...
2.3. Advancements and Challenges in Machine Learning Applications for Hypertension Management In the study titled “Machine Learning in Hypertension Detection: A Study on World Hypertension Day Data”, supervised ML algorithms were applied to a substantial dataset collected in Italy by the SIIA (Italian...
robot, and its sensors. Here are some common algorithms and approaches used in robot path planning: 1. Search Algorithms (for static environments) Dijkstra’s Algorithm: Finds the shortest path between two points in a graph. It explores all possible routes and calculates the minimum cost from ...
Comparison of accuracy and computational performance between the machine learning algorithms for rate of penetration in directional drilling well Petroleum Research, Volume 6, Issue 3, 2021, pp. 271-282 Omid Hazbeh,…, Jamshid Moghadasi Predicting rate of penetration during drilling of deep geothermal...