www.reddit.com/r/interesting/comments/1nsbjig/store_owner_uses_fog_machine_to_stop_thieves_from/
Store Owner Uses Fog Machine To Stop Thieves From Robbing Their Store ?
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github.com/CuriousDrive/BookStores
CuriousDrive/BookStores
BookStores is a Blazor Server app using ASP.NET Core as back-end service and MSSQL for database. It has code samples for Authentication, Authorization, DataGrid, Database operations....and much. Please follow the intrsuctions to set it up on your machine. (⭐ 3…
arxiv.org/abs/2107.14109v1
Digital Twin As A Cost Reduction Method
Many fields have been affected by the introduction of concepts such as sensors, industry 4.0, internet of things, machine learning and artificial intelligence in recent years. As a result of the interaction of cyber physical systems with these concep...
arxiv.org/abs/2311.04518v1
Towards Democratizing AI: A Comparative Analysis of AI as a Service Platforms an…
Recent AI research has significantly reduced the barriers to apply AI, but the process of setting up the necessary tools and frameworks can still be a challenge. While AI-as-a-Service platforms have emerged to simplify the training and deployment of...
arxiv.org/abs/2406.11598v2
Understanding "Democratization" in NLP and ML Research
Recent improvements in natural language processing (NLP) and machine learning (ML) and increased mainstream adoption have led to researchers frequently discussing the "democratization" of artificial intelligence. In this paper, we seek to clarify how...
github.com/kb22/Heart-Disease-Prediction
kb22/Heart-Disease-Prediction
The project involves training a machine learning model (K Neighbors Classifier) to predict whether someone is suffering from a heart disease with 87% accuracy. (⭐ 266)
arxiv.org/abs/1103.0890v2
Efficient Multi-Template Learning for Structured Prediction
Conditional random field (CRF) and Structural Support Vector Machine (Structural SVM) are two state-of-the-art methods for structured prediction which captures the interdependencies among output variables. The success of these methods is attributed t...
arxiv.org/abs/2602.16762v1
Attending to Routers Aids Indoor Wireless Localization
Modern machine learning-based wireless localization using Wi-Fi signals continues to face significant challenges in achieving groundbreaking performance across diverse environments. A major limitation is that most existing algorithms do not appropria...
en.wikipedia.org/wiki/Linear_bounded_automaton
Linear bounded automaton - Wikipedia
In computer science, a linear bounded automaton (plural linear bounded automata, abbreviated LBA) is a restricted form of Turing machine. A linear bounded
github.com/mitmedialab/PersonalizedMultitaskLearning
mitmedialab/PersonalizedMultitaskLearning
Code for performing 3 multitask machine learning methods: deep neural networks, Multitask Multi-kernel Learning (MTMKL), and a hierarchical Bayesian model (HBLR). (⭐ 133)
arxiv.org/abs/2104.04601v1
The Effect of Sport in Online Dating: Evidence from Causal Machine Learning
Online dating emerged as a key platform for human mating. Previous research focused on socio-demographic characteristics to explain human mating in online dating environments, neglecting the commonly recognized relevance of sport. This research inves...
www.reddit.com/r/seojobs/comments/1msqsw0/sem_seo_specialist_intermediatesenior_index/
SEM & SEO Specialist (Intermediate/Senior) ~ Index ~ Remote (Canada)
------- JOB DESCRIPTION DETAILS ----\ \ \ Company Description\ \ \ \ Index is an artificial intelligence company specializing in web marketing services and solutions using the latest machine learning ...
github.com/OpenGreekAndLatin/patrologia_latina-dev
OpenGreekAndLatin/patrologia_latina-dev
Machine-corrected versions of selections of the Patrologia Latina. (⭐ 25)
arxiv.org/abs/2002.08575v1
Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network
Herb recommendation plays a crucial role in the therapeutic process of Traditional Chinese Medicine(TCM), which aims to recommend a set of herbs to treat the symptoms of a patient. While several machine learning methods have been developed for herb r...
arxiv.org/abs/2102.04721v1
Classification of Imbalanced Credit scoring data sets Based on Ensemble Method w…
In the era of big data, the utilization of credit-scoring models to determine the credit risk of applicants accurately becomes a trend in the future. The conventional machine learning on credit scoring data sets tends to have poor classification for...
en.wikipedia.org/wiki/Crystal_habit
Crystal habit - Wikipedia
crystal habits". Archived from the original on 2017-07-07. Retrieved 2009-04-06. Crystal Habit Archived 2009-04-12 at the Wayback Machine "Habit". Archived
arxiv.org/abs/1802.08338v2
Application of Multivariate Data Analysis to machine power measurements as a mea…
Modern manufacturing industries are increasingly looking to predictive analytics to gain decision making information from process data. This is driven by high levels of competition and a need to reduce operating costs. The presented work takes data i...
github.com/abeisgoat/tf-jam
abeisgoat/tf-jam
Tensor Jam: Shooting Hoops with Machine Learning (⭐ 267)
arxiv.org/abs/2501.08632v1
Towards Intelligent Active Particles
In this book chapter we describe recent applications of artificial intelligence and in particular machine learning to active matter systems. Active matter is composed of agents, or particles, that are capable of propelling themselves. While biologica...
github.com/asavinov/intelligent-trading-bot
asavinov/intelligent-trading-bot
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering (⭐ 1629)