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 under MIT License. These algorithms span a variety of topics from computer science, mathematics and statistics, data science, machine learning, engineering, etc.. The implementations...
Several machine learning algorithms have been used such as Neural Networks, random forests, linear regression to compare which provides the best possible recommendations for a user. Specifically, a weighted social interaction network is first mapped to represent the interactions among social users ...
In this work, in situ weather data and module temperature are used to train different machine learning algorithms and predict the module's back temperature, and then the power produced by the PV module. A ten-days dataset was utilized for the training, cross-validation, and testing of differen...
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...
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 ...
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 [...
Using machine learning algorithms for predicting bridge vertical deflection Machine learning (ML) is being increasingly used to ease structural health monitoring and management of bridges. Therefore, the main objective of this stud... H Ha,ME Dam,VM Le,... - Proceedings of the ICE - Engineering...
This repository is a collection of open-source implementation of a variety of algorithms implemented in C++ and licensed under MIT License. These algorithms span a variety of topics from computer science, mathematics and statistics, data science, machine learning, engineering, etc.. The implementations...