Clear Sky Science – Articles (en)

MACHINE LEARNING ARTICLES

A robust audio zero watermarking scheme using multi feature fingerprints and machine learning

An interpretable IGWO-MKRVM model for predicting excavation damaged zone thickness of drift

Accelerating supercritical pharmaceutical formulation via interpretable data-driven prediction of drug solubility

Integrated cortical-cognitive signatures identified by machine learning enable early detection of MCI in type 2 diabetes

Machine learning assisted single-molecule sensing towards standard-free quantification of per- and polyfluoroalkyl carboxylic acids

Machine learning and the role of the vaginal and fecal microbiome in miscarriage: a matched case-control study

Assessing the impact of groundwater abstraction and concrete dam fractures on saltwater intrusion using numerical modeling and interpretable machine learning

A multi-step short-term photovoltaic power prediction model based on an improved whale migration algorithm

Interpretable machine learning with SHAP predicts honest behavior from personality traits and physiological data

An ensemble hybrid and explainable AI (XAI) framework for zero false-positive islanding detection in distribution networks

A selective machine learning algorithm for severe periodontitis labeling from questionnaire data

Individualized treatment effects of CPAP on secondary cardiovascular outcomes in non-sleepy obstructive sleep apnea patients

Leveraging multimodal machine learning for accurate risk identification of intimate partner violence

A thinking innovation strategy based Northern goshawk optimizer enhanced extreme learning machine for bankruptcy prediction problems

Clinically interpretable nomogram combining body composition and clinicopathological features for one year survival prediction in advanced solid tumors

Hybrid knowledge- and data-driven modelling for robust spike detection and sorting in human C-fiber microneurography

Machine-learning prediction and risk stratification of 12-month cognitive decline in Alzheimer’s disease using routine clinical and MRI data

A bimodal dataset for diabetes research

Large-scale modeling for housing condition prediction using machine learning algorithms

A crystal graph to vector approach for predicting magnetic properties

Machine learning-based prediction and identification of determinants of teenage pregnancy in ten East African countries

Machine learning-based method for determining regional parameters of the HSS model: a case study of Qingdao, China

Integration of machine learning and microstructural characterization for strength forecasting with silica fume and M-sand for sustainable concrete

Interpretable predictive model for listed companies ESG greenwashing based on XGBoost and SHAP

Label-free multiphoton microscopy and machine learning for recognition of hepatocellular carcinoma

Machine learning identifies distinct movement control impairment clusters in patients with chronic neck pain

Machine learning-based identification of abnormal functional connectivity in obesity across different metabolic states

Reconstructing fine-scale 3D wind fields with terrain-informed machine learning

Physics-guided estimation of freight vehicle loading status using digital tachograph data

Opportunistic screening data for early prediction of GDM in Northern Chinese women: a multicenter machine learning study

Logistics equipment condition monitoring and prediction based on digital twin and machine learning

Identifying key gait features in stroke patients using wearable inertial sensors and supervised and unsupervised machine learning

Predicting circRNA subcellular localization by fusing circRNA sequence and network information

Modeling nursing care tasks in simulated emergency scenarios: insights for clinical training and practice

Hybrid prediction system for reliable multi-seasonal sustainable energy generation under meteorological and environmental volatility

Machine learning framework for multidimensional assessment of urban quality of life

Functional near-infrared spectroscopy identifies neural biomarkers of burnout in active-duty Police officers

Real-time eructation event prediction in livestock using head vibrations and machine-learning in an IoT wearable device

A pipeline leakage detection method for boiler energy operation system using enhanced SVM-based acoustic emission technology

Enhanced forecasting of friction and cohesion of augmented unsaturated soil with nanostructured quarry fines (NQF) addition

AMR-GNN: a multi-representation graph neural network framework to enable genomic antimicrobial resistance prediction

Fragmentomic liquid biopsy enables early breast cancer detection, molecular subtyping and lymph node assessment

Quantum-annealed machine learning discovers ductile, high strength and corrosion-resistant high-entropy alloy

A Benchmark Dataset for Machine Learning Surrogates of Pore-Scale CO2-Water Interaction

Early risk stratification of acute kidney injury severity in patients with acute myocardial infarction and diabetes using machine learning

Objective assessment of familiarity in music using imagery and EEG-based machine learning

A hybrid machine learning approach for reliably predicting surface roughness in CNC turning operations

Hybrid transformer and physics-informed neural operator for correcting TEMPO NO2 biases over North America

Advanced sensor systems and machine learning for pipeline integrity management: a review of corrosion monitoring and prediction strategies

Enhanced cervical cancer diagnosis using a novel Bayesian fusion ensemble method with explainable AI

Supervised information gain-based feature selection for multimodal physiological signals in stress prediction

Diagnosis model of early malignant pulmonary nodules based on clinical laboratory data

Respiratory sound analysis in a rabbit tracheomalacia model

Harnessing machine learning to explore influencing mechanism in the dual pro-environmental intention-behavior gap

GC–IMS-based analysis of serum volatile organic compounds for diagnosis of gastric cancer

Performance of the 12-lead ECG in predicting short- and long-term risk of sudden cardiac death

Machine-learning guided search for phonon-mediated superconductivity in boron and carbon compounds

Advancing operational global aerosol forecasting with machine learning

Source identification of sudden water pollution events in the Dongliao River using a hybrid machine learning framework

HyMSS-GAD: a hybrid multi-stage framework for multi-view graph anomaly detection with structural, contextual, and geometric reasoning

Evaluation of the level of responsibility in pedestrian crashes using machine learning algorithms

Domain features-informed two-step machine learning: accelerating the search for superlubric heterostructures

A novel stacking ensemble model for predicting discharge coefficient of submerged multi parallel radial gates

Assessment of Lasso and Ridge models for soil swelling potential prediction

Identifying neuromuscular and mental fatigue in elite youth table tennis players using machine learning

AI-augmented geothermal model for scalable energy uncertainties in buildings

Novel universal domain-centric method for protein classification

Multi task learning based early prediction model for antibiotic resistance using multi institutional cohort data

Hybrid feature selection and classification model using high-dimensional data based on a metaheuristic algorithm for brain cancer diagnosis

Integration of circulating tumor DNA data enhances lung cancer prediction in patients with COPD

Slope stability prediction via TrAdaBoost transfer learning: integrating physics and data into a double-driven framework

Spectral characterization and severity assessment of rice brown planthopper damage using multivariate models

Development and multicenter validation of an explainable machine learning diagnostic criteria for pediatric abdominal sepsis

Model generalization paradigms for predicting viral particles and evaluating removal efficiencies in anaerobic membrane bioreactor plants

Image-to-molecule benchmarking dataset with fractal pattern and hierarchical morphology recognition

An integrated physics-guided machine learning approach for predicting asphalt concrete fracture parameters

BERT-spaCy hybrid NLP and blockchain-enhanced adaptive CTI for IOC extraction and threat prediction

Mixture of experts extra tree-based sEMG hand gesture recognition

An integrated multi-hazard assessment using machine learning in the complex terrains of Northern Pakistan

Explainable machine learning prediction of tracheostomy after craniotomy for supratentorial intracerebral hemorrhage

A dataset for machine learning model to convective initiation detection and nowcasting over southeastern China

Predicting infected pancreatic necrosis in acute pancreatitis using machine learning models and feature selection

Integrative ensemble learning framework for forecasting controlled drug release based on Raman spectral signatures

Predicting FOX gene candidates for oxic nitrogen fixation using multi-omic machine learning and comparative bioinformatics

Machine learning algorithm reveals neurodevelopmental signatures of combined family income and neighborhood disadvantage in adolescents

Machine learning estimation of FVIII pharmacokinetic parameters in Chinese children with severe Hemophilia A

Dataset for Comprehensive Analysis of Desiccation Cracks in Soils

Multi criteria optimization of FDM process parameters for NylonAF80 filaments using CRITIC CoCoSo and machine learning approaches

A transformer–XGBoost based model to fault diagnosis for CPR1000

Gear fault diagnosis of wind turbine drivetrains using multi-source information fusion and ensemble learning in a simulation bench study

Quantum-augmented graph differential geometry enhances accuracy in protein-protein interaction prediction

Constraint optimization and key factor analysis based vehicle emergency braking strategy generator

Machine learning-based Direct Normal Irradiance (DNI) forecasting using satellite data for Concentrated Solar Power (CSP) plants with Thermal Energy Storage (TES)

Search for thermodynamically stable ambient-pressure superconducting hydrides in the GNoME database

Surrogate modelling of corrosion inhibition finite element simulations using machine learning

A novel hybrid model for species distribution prediction of soil-transmitted helminthiasis (STH) under soil temperature conditions using Random Forest and Particle Swarm Optimization Algorithm

Machine learning analysis of s-EASIX for predicting 30-day mortality in sepsis patients from MIMIC-IV

Integrating machine learning techniques for critical node identification in complex networks

Development and validation of machine learning models for diagnosing hepatocellular carcinoma risk and survival in patients with diabetic cirrhosis

Imputation methods for serologic biomarkers in inflammatory bowel disease

Integrated pixel-wise remote sensing and explainable machine learning for natural hydrogen exploration in southeastern part of Pricaspian Basin, Western Kazakhstan

Estimation of liquefaction-induced settlement of shallow foundation by machine learning with imbalanced data

Evaluation of standard, black-box, and bayesian RSM-SVR models in the semi-arid area of south-eastern Iran for predicting soil chemical properties

Predicting rates of cognitive and functional decline in Alzheimer’s disease and mild cognitive impairment

Applying machine-learning and deep-learning to predict depression from brain MRI and identify depression-related brain biology

Machine learning integration of serial blood biomarkers enhances cognitive decline prediction in early Parkinson’s disease

Molecular sensory science combined with machine learning for exploring key odor-active compounds and aging-feature compounds of Shanxi aged vinegar

Soil microbiome prediction using traditional machine learning and deep learning models

Interpretable machine learning models using peripheral blood biomarkers for diagnosis and prognosis of glottic laryngeal squamous cell carcinoma

A surrogate-based inverse design framework for targeted diameter control of electrospun nanofibers

Exploring the Impact of Physical Activity Metrics on Calorie Consumption: A Machine Learning Approach Combined with SHAP Analysis

Comparative assessment of machine learning models for polymer solution viscosity prediction in enhanced oil recovery

A neuroimaging functional connectivity signature of emotional conflict monitoring predicting cognitive decline in type 2 diabetes

Intelligent techniques for predictive analytics in Agile software development

Global solar energy potential forecasting through machine learning and deep learning models

Wheat yield prediction using integrated optical and radar remote sensing with machine learning across key phenological stages

Machine learning approaches to predict the risk of tuberculosis among household contacts of index TB patients in Central Ethiopia

AI-driven image processing framework for high-accuracy detection and characterization of vacancies in 2D materials

A machine learning framework reveals key drivers of cytokine responses in a healthy human cohort

An evaluation of machine learning for soil analysis in internet of things-enabled smart farming