Academic Articles & Research Papers

Towards personalized and lifestyle-inspired soil management: lessons from the gut microbiome.

Can the exposome help solve the alcohol and cancer mystery?

Crack identification and detection in mine boreholes using deep learning: A case study of hexi coal mine.

Amplified MS2 labeling reveals heterogeneous dynamics of RNA granules in the live murine brain ex vivo.

The influence of arm swing constraint on thigh kinematics, heart rate response, and perceived exertion during the two-minute step test.

An explainable machine learning framework for cross-dataset chronic kidney disease risk prediction using hybrid data balancing.

Ensemble frequency ratio-maximum entropy landslide susceptibility modelling for climate‑resilient road corridors in Bocas del Toro and Chiriquí, Panama.

Integrating Multisource Target Evidence with Machine-Learning Potency Prediction for Alzheimer’s Disease Drug Discovery.

Combined heat and salinity stress accelerates oxidative injury and ABA-mediated stress response in cucumber seedlings.

Diffusion tensor imaging for rehabilitation and prevention of lumbar degenerative diseases: a narrative review.

A paradigm shift toward explainable and federated intelligence for brain tumor MRI analysis.

Modeling Lombard Effects in Voice Disorders Using Daily-Life Monitoring of Ambient Noise and Voice Acoustics.

An adaptive energy management and control framework for long-endurance UAV missions in dynamic environments: A reproducible simulation study.

Development of a SCGP-CGAN framework for bidirectional H&E–Masson’s Trichrome Virtual Staining.

Availability-Aware Multitask Learning for Robust Clinical Prediction from Incomplete Electronic Health Records

This study presents NORIA, an availability-aware multitask learning framework for clinical prediction from incomplete electronic health records (EHRs). We analyzed a public dataset of 77,724 patients and 107 numerical features. To prevent t...

Machine learning and data-driven prediction of pore pressure from geophysical logs: A case study for the Mangahewa gas field, New Zealand

Pore pressure is an essential parameter for establishing reservoir conditions, geological interpretation and drilling programs. Pore pressure prediction depends on information from various geophysical logs, seismic, and direct down-hole pre...

The Microbiome Composition of a Man's Penis Predicts Incident Bacterial Vaginosis in His Female Sex Partner With High Accuracy

Background: We determined the predictive accuracy of penile bacteria for incident BV in female sex partners. In this prospective cohort, we enrolled Kenyan men aged 18–35 and their female sex partners aged 16 and older. We assessed BV at ba...

Some results of the digital analysis of the semantic similarity of audiovisual translation texts (based on the films directed by Denis Villeneuve)

The article analyses different translation versions of science fiction films directed by Denis Villeneuve with the aim of determining their semantic similarity through NLP analysis. There are four groups of metrics used in text analysis: se...

Evaluating early predictive performance of machine learning approaches for engineering change schedule – A case study using predictive process monitoring techniques

By applying machine learning algorithms, predictive business process monitoring (PBPM) techniques provide an opportunity to counteract undesired outcomes of processes. An especially complex variation of business processes is the engineering...

Towards Neural‐Network‐Based Optical Temperature Sensing of Semiconductor Membrane External Cavity Laser

Abstract A machine‐learning (ML) non‐contact method to determine the temperature of a laser gain medium via its laser emission with a trained few‐layer neural‐network (NN) model is presented. The training of the feed‐forward NN enables the ...