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Found 12 papers, 2 papers with code
Machine Learning Optimized Orthogonal Basis Piecewise Polynomial Approximation
We show that, using this regularization approach, Chebyshev basis performs better than power basis for all relevant optimizers in the combined approximation and continuity optimization setting and demonstrate usability of the presented approach within the electronic cam domain.
Topological Data Analysis in smart manufacturing processes -- A survey on the state of the art
Topological Data Analysis (TDA) is a mathematical method using techniques from topology for the analysis of complex, multi-dimensional data that has been widely and successfully applied in several fields such as medicine, material science, biology, and others.
Closing the Loop: Testing ChatGPT to Generate Model Explanations to Improve Human Labelling of Sponsored Content on Social Media
To improve annotation accuracy and, thus, the detection of sponsored content, we propose using chatGPT to augment the annotation process with phrases identified as relevant features and brief explanations.
An Architecture for Deploying Reinforcement Learning in Industrial Environments
Industry 4. 0 is driven by demands like shorter time-to-market, mass customization of products, and batch size one production.
An OPC UA-based industrial Big Data architecture
It buffers and preprocesses the information for the purpose of harmonizing and providing a holistic state space of a factory, as well as mappings to the current state of a production site.
A Mini Review on the utilization of Reinforcement Learning with OPC UA
However, since RL and OPC UA are from different fields, there is a need for researchers to bridge the gap between the two technologies.
$\mathcal{C}^k$-continuous Spline Approximation with TensorFlow Gradient Descent Optimizers
Our experiments show that the problem solution is feasible using TensorFlow gradient tapes and that AMSGrad and SGD show the best results among available TensorFlow optimizers.
CSRX: A novel Crossover Operator for a Genetic Algorithm applied to the Traveling Salesperson Problem
These symmetries are general and not limited to or tailored to TSP specifically.
Improvements for mlrose applied to the Traveling Salesperson Problem
In this paper we discuss the application of Artificial Intelligence (AI) to the exemplary industrial use case of the two-dimensional commissioning problem in a high-bay storage, which essentially can be phrased as an instance of Traveling Salesperson Problem (TSP).
Understanding Emails and Drafting Responses -- An Approach Using GPT-3
Providing computer systems with the ability to understand and generate natural language has long been a challenge of engineers.
Statistical Topological Data Analysis - A Kernel Perspective
We consider the problem of statistical computations with persistence diagrams, a summary representation of topological features in data.
A Stable Multi-Scale Kernel for Topological Machine Learning
Topological data analysis offers a rich source of valuable information to study vision problems.
