Embedded software - Wikipedia
functions of embedded software are initiated/controlled via a human interface, but through machine-interfaces instead. Manufacturers build embedded software
functions of embedded software are initiated/controlled via a human interface, but through machine-interfaces instead. Manufacturers build embedded software
Welcome to Turn 16 --- ##Introduction The ruins under Ak-Sanal, were investigated by the gods and many mortals alike. They found text, some golden orbs and a divine machine. Teruna makes ready to t...
Redux state machine for the Computable Protocol (⭐ 6)
Manual code reviews and static code analyzers are the traditional mechanisms to verify if source code complies with coding policies. However, these mechanisms are hard to scale. We formulate code compliance assessment as a machine learning (ML) probl...
The beginning of the rainy season and the occurrence of dry spells in West Africa is notoriously difficult to predict, however these are the key indicators farmers use to decide when to plant crops, having a major influence on their overall yield. Wh...
The Grinch (2000) - After the Grinch lights the Whoville Christmas tree on fire, they immediately pull out a spare tree that is already decorated. Hilarious. Contact- After the first machine is destr...
political theory: "As a totality, the state is body and soul, a homo artificialis, and, as such, a machine. It is a manmade product ... the soul thereby
A project to develop a machine learning model to explore features as it relates to testicular germ cell cancer (⭐ 0)
Data and code for the paper "Remote Sensing-Based Measurement of Living Environment Deprivation - Improving Classical Approaches with Machine Learning", by Dani Arribas-Bel, Jorge Patiño and Juanca Duque (⭐ 14)
Machine Learning Based on Responsible Gaming (⭐ 0)
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The Turing Test: Human or Not? Can a machine truly mimic human interaction? Alan Turing proposed the Imitation Game in 1950. This concept remains a digital challenge today. The goal remains …
Analysis of financial earnings data and forecasting earnings surprises utilizing machine learning. (⭐ 8)
This paper examines the use of artificial neural network approach in identifying the origin of clove buds based on metabolites composition. Generally, large data sets are critical for accurate identification. Machine learning with large data sets lea...
MindWave is an open-source project designed for beginners to learn about data science, machine learning, deep learning, and reinforcement learning algorithms using Python. The project offers a platform for implementing relevant algorithms, with open-source too…
Medical Imaging Deep Learning library to train and deploy 3D segmentation models on Azure Machine Learning (⭐ 578)
Recent work on fairness in machine learning has focused on various statistical discrimination criteria and how they trade off. Most of these criteria are observational: They depend only on the joint distribution of predictor, protected attribute, fea...
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