GitHub

AIFAD - Automated Induction of Functions over Algebraic Data Types

AIFAD stands for Automated Induction of Functions over Algebraic Data Types and is an application written in OCaml that improves decision tree learning by supporting significantly more complex kinds ...
IEEE

Development and Implementation of a Direct Evaluation Solution for Fault Tree Analyses Competing With Traditional Minimal Cut Sets Methods

Abstract: Fault tree analysis (FTA) is a well-established technique to analyze the safety risks of a system. Two specific prominent FTA methods, largely applied in the aerospace field, are the ...
C&EN

Generating New Coordination Compounds via Multireference Simulations, Genetic Algorithms, and Machine Learning: The Case of Co(II) and Dy(III) Molecular Magnets

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The design of coordination compounds with target properties often requires years of ...
The Lancet

Comparison of machine learning clustering algorithms for detecting heterogeneity of treatment effect in acute respiratory distress syndrome: A secondary analysis of three ...

aDivision of Clinical and Translational Research, Division of Critical Care, Department of Anesthesia, Washington University School of Medicine, Saint Louis, MO bDepartment of Medicine, University of ...
Hacker

Embracing Coding Patterns: a Smarter Approach to Coding Interview Prep

Preparing for coding interviews can be a real challenge with developers often spending several weeks reviewing and learning new material. The truth is, that most developers never quite feel fully ...
PNAS

NeuronMotif: Deciphering cis-regulatory codes by layer-wise demixing of deep neural networks

Cis-regulatory sequences regulate the expression of nearby genes. Recently, remarkable advances in our ability to predict the function of cis-regulatory sequences have been achieved by using ...
Europe PMC

Water quality prediction in sea cucumber farming based on a GRU neural network optimized by an improved whale optimization algorithm.

Sea cucumber farming is an important part of China's aquaculture industry, and sea cucumbers have higher requirements for aquaculture water quality. This article proposes a sea cucumber aquaculture ...
Frontiers

Cotton Yield Estimation From Aerial Imagery Using Machine Learning Approaches

Estimation of cotton yield before harvest offers many benefits to breeding programs, researchers and producers. Remote sensing enables efficient and consistent estimation of cotton yields, as opposed ...
Frontiers

Application of Generalized (Hyper-) Dual Numbers in Equation of State Modeling

The calculation of derivatives is ubiquitous in science and engineering. In thermodynamics, in particular, state properties can be expressed as derivatives of thermodynamic potentials. The manual ...