The PrintOpinion

Science lost something when it stopped asking ‘why’. It’s now high-tech animal husbandry

We surrendered our attention to the feed. We surrendered our memory to the search engine. We surrendered our solitude to the ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Frontiers

A novel reinforcement learning framework-based path planning algorithm for unmanned surface vehicle

Unmanned surface vehicles (USVs) nowadays have been widely used in ocean observation missions, helping researchers to monitor climate change, collect environmental data, and observe marine ecosystem ...
IEEE

Euclidean Direction Search Algorithm Based on Maximum Correntropy Criterion

Abstract: The Euclidean direction search (EDS) algorithm can reduce the complexity by avoiding the matrix inversion operation. However, it may fail to work in impulsive environments. To address this ...
IEEE

A Fast Approximate Check Polytope Projection Algorithm for ADMM Decoding of LDPC Codes

Abstract: Simplifying the Euclidean projection onto check polytope is an efficient way to reduce the computational complexity of alternating direction method of multipliers (ADMM) decoding algorithm ...
Frontiers

Improved Feature Point Pair Purification Algorithm Based on SIFT During Endoscope Image Stitching

Endoscopic imaging plays a very important role in the diagnosis and treatment of lesions. However, the imaging range of endoscopes is small, which may affect the doctors' judgment on the scope and ...
Scientific Research Publishing

A Study on Forecasting the Default Risk of Bond Based on XGboost Algorithm and Over-Sampling Method ()

1 Investment Bank Department, Chengdu Agricultural and Commercial Bank, Chengdu, China. 2 School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, China.
Scientific Research Publishing

Implementation of Manifold Learning Algorithm Isometric Mapping ()

In dealing with high-dimensional data, such as the global climate model, facial data analysis, human gene distribution and so on, the problem of dimensionality reduction is often encountered, that is, ...
GitHub

DTC: Deep Temporal Clustering

This is a Keras implementation of the Deep Temporal Clustering (DTC) model, an architecture for joint representation learning and clustering on multivariate time ...