Machine learning rediscovers equations governing ocean biogeochemistry

Climate and ocean models use a series of equations to represent complex natural processes. However, the equations used in ...
IEEE

Channel State Information-Based Ranging for Underwater Acoustic Sensor Networks

Abstract: Received signal strength (RSS)-based ranging is a promising distance estimation approach in underwater acoustic sensor networks (UASNs). However, the multipath-rich underwater environment ...
IEEE

Using Linearizing Sets to Solve Multivariate Quadratic Equations in Algebraic Cryptanalysis

Abstract: In this paper we describe a class of cryptographic guess-and-determine attacks which is based on the notion of a linearizing set. A linearizing set-based ...
GitHub

Theory of Functional Connections (TFC)

The tfc Python module is designed to help you quickly and easily apply the Theory of Functional Connections (TFC) to optimization problems. For more information on the code itself and code-based ...
GitHub

Various implementations of the classical SIR model in Julia

The model equations are as follows. $$ \begin{align*} \dfrac{\mathrm dS}{\mathrm dt} &= -\frac{\beta c S I}{N}, \\ \dfrac{\mathrm dI}{\mathrm dt} &= \frac{\beta c S I ...
Nature

Developmental changes in exploration resemble stochastic optimization

Human development is often described as a ‘cooling off’ process, analogous to stochastic optimization algorithms that implement a gradual reduction in randomness over time. Yet there is ambiguity in ...
C&EN

An Optimization Approach Coupling Preprocessing with Model Regression for Enhanced Chemometrics

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Chemometric methods are broadly used in the chemical and biochemical sectors.
C&EN

Optimization and Uncertainty Quantification Method for Reservoir Stimulation through Carbonate Acidizing

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Frontiers

Optimization of Refill Friction Stir Spot Welded AA2024-T3 Using Machine Learning

Spot welds were produced with two 100 mm × 25.4 mm plates and an overlap length of 25.4 mm, as shown in Figure 3. The welding process was performed using an RPS 100 RFSSW equipment (Harms-Wende, ...
Scientific Research Publishing

Performance Prediction of a Reverse Osmosis Desalination System Using Machine Learning ()

One of the major challenges that membrane manufacturers, commercial enterprises and the scientific community in the field of membrane-based filtration or reverse osmosis (RO) desalination have to deal ...
Frontiers

Multi-Scale Surface Roughness Optimization Through Genetic Algorithms

Artificial intelligence is changing perspectives of industries about manufacturing of components, introducing emerging techniques such as additive manufacturing technologies. These techniques can be ...