Using data to reduce subjectivity in landslide susceptibility mapping

In recent years, numerous landslides on hillsides in urban and rural areas have underscored that understanding and predicting ...

New inflation tracking method reduces base-year bias, improves handling of missing prices

The new series of Consumer Price Index (CPI), used for measuring retail inflation, is going live from February 2026. The Ministry of Statistics and Programme Implementation (MoSPI) has announced ...

Simple statistical method predicts landslide risk more accurately than classic method

A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...

Computational method clarifies gene–drug links for precision cancer treatment

A paper published in Biology Methods and Protocols, indicates that a new computational method may help researchers identify ...

Chongwei Shi Advances Biostatistical Methods and Computational Biology Through Deep Learning and Statistical Shape Analysis

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
Scientific Research Publishing

MacQueen, J. (1967) Some Methods for Classification and Analysis of Multivariate Observations. Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and ...

ABSTRACT: The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in ...
Frontiers

Migraine triggers, phases, and classification using machine learning models

1 San Juan Bautista School of Medicine, Caguas, Puerto Rico, United States 2 Independent Researcher, Monmouth County, NJ, United States Background: In many countries, patients with headache disorders ...
IEEE

Coarse-to-Fine High-Order Network for Hyperspectral and LiDAR Classification

Abstract: The fusion of hyperspectral and light detection and ranging (LiDAR) data could significantly improve land-cover classification performance. Most existing feature fusion methods focus on ...