Clear Sky Science – Articles (en)

MACHINE LEARNING ARTICLES

A clinical machine learning model for 1-year functional outcome prediction in acute ischemic stroke: temporal validation across evolving guidelines

A systematic assessment of regional landslide risk under typhoon rainfall: a case study of Taishun, Zhejiang, China in September 2016

Advanced channel estimation in OTFS and NOMA using deep bayesian gaussian processes and compressive sensing

Soil classification in the Sudan Savanna using sentinel products and topographic information with machine learning models

Machine learning reveals disruptive nutrient pollution shifts in Chinese rivers to 2100

Prediction of acute kidney injury in patients with acute pesticide poisoning using the PKIP score

Classification of anterior cruciate ligament injury profiles through running analysis: a machine learning approach

Association between total dietary sugar intake and gallstones in Americans

Machine learning-based prediction of compressive and flexural strength of wheat straw reinforced sustainable gypsum composites

Predicting surgical outcome in drug-resistant epilepsy by combining interictal biomarkers within a machine learning framework

Advanced simulation and numerical evaluation of pharmaceutical solubility estimation under supercritical processing using artificial intelligence computations

Physically-based modelling for retrospective detection of archaeological proxies (cropmarks)

AI-driven optimization of hydrogen storage in porous carbon adsorbents

Enhancement of cryptography algorithms for security of cloud-based IoT with machine learning models

Distinct 72-hour fluid balance trajectories are associated with 28-day mortality in a multicenter cohort of sepsis patients

Machine learning predicts sepsis deterioration trajectories

Development of a pKa predictor (pKaLearn) by leveraging teaching experience to improve machine learning

Estimation of surface PM2.5 over the Indo-Gangetic Basin using MERRA-2 reanalysis and machine learning

PrimerAST: A predictive machine learning tool for primer design and quality assessment

An explainable AI-driven hybrid feature selection approach for coronary artery disease diagnosis

Explainable machine learning for long-term cardiovascular disease risk prediction in Chinese middle-aged and older adults: a 9-year longitudinal cohort study with web-based risk calculator

Seismic detection using submarine cable polarization signals with machine learning

Machine learning discovers new champion codes

Prediction of depressive episodes based on clinical features, cognitive characteristics, inflammation-related proteins, and EEG data

Machine learning-based predictive models and subtypes patterns in peripheral blood of schizophrenia based on a machine learning computational framework

A Sensor based turning dataset for data-driven surface roughness estimation

A multi dataset validation model for hybrid feature selection in wind energy maximum power point tracking systems

Wearable sensor big data analysis reveals spatiotemporal injury patterns in professional tennis players

A scalable hybrid computational intelligence framework with bio inspired optimization for high dimensional malicious URL inference

Discovery of key surface electromyography features during walking for discerning high and low muscle mass using machine learning analysis

A cost-sensitive multiclass machine learning framework for postoperative neurosurgical triage (Neuro-TACTIC)

Machine learning approach for adult age estimation using dental characteristics on panoramic radiographs

Temporal Learning with Dynamic Range (TLDR) for modeling recurrent exposure and treatment outcomes

A machine learning-derived biological age model for liver grafts provides a superior assessment of aging compared to chronological age in transplantation

A novel nowcasting (estimation) model based on an adaptive network neutrosophic hesitant fuzzy inference system (ANNHFIS): a case study of Istanbul

AI-driven data-efficient estimation of partition functions in disordered materials

A stacking ensemble with Pareto optimization for scalable electricity theft detection via hybrid data repair and lightweight deployment

Optimizing crop selection for sustainable agriculture: a compound ensemble approach integrating machine learning and IoT-based sensors

Structural and lithological controls on landfill site suitability in Tenth of Ramadan City, Egypt using remote sensing and machine learning

Ancient architecture image classification with progressive stacking pseudoinverse learning

Machine learning modelling of a nonlinear environmental index with sensitivity analysis for groundwater assessment

SIGMAformer: a spatiotemporal Gaussian mixture correlation transformer for global weather forecasting

Mechanical properties analysis of geopolymer concrete based on the sugarcane bagasse ash using machine learning

A sample model for applying feature selection and machine learning techniques to estimate and manage crayfish populations

Feature reduction using swarm optimization and random forest classifiers for early diabetes risk prediction

Assessment of artificial intelligence-based control algorithms to be implemented in an affordable transradial myoelectric prosthesis

Development and validation of an interpretable prediction model for the risk of unplanned reoperation in patients underwent intracranial tumor surgery

Assessment of thermally induced strength loss in alkali-activated concrete through ensemble regression models

A predictive model for PICC-related thrombosis in sepsis patients using XGBoost algorithm

High-resolution phage-host assignment through key proteins using large language models

A disease-agnostic approach to ensemble learning for infectious disease forecasting

Amino acid composition drives aggregation during peptide synthesis

Proactive fault prediction in marine diesel engines using multivariate machine learning

Medium -term monitoring and machine learning-based forecasting of drought dynamics in Iran

A proof-of-concept machine learning model for short-term suicide risk stratification in depressed youth

Predicting household cooking fuel choice in sub-Saharan Africa using supervised machine learning analysis of DHS data from 28 countries

Multimodal models for skin cancer classification using clinical freetext and dermatoscopic images

An end-to-end framework for reactivity in heterogeneous catalysis

Eye tracking and machine learning to assess cognitive impairment in post-COVID-19 patients

A practical ML framework for biomass torrefaction analysis and simulator deployment

CNN-LSTM model optimized by improved sparrow search algorithm for oil well production prediction

Optimizing charge discharge cycles using QPPONet-enabled hybrid learning framework for energy management and safety in electric vehicles

Accelerating discovery of MOFs for hydrogen storage via machine learning in energy related applications

Global crop suitability datasets for 17 crops under present (2024) and future climate scenarios (2041–2100)

A GWAS–machine learning framework reveals protein-synthesis pathway signals for yield in Theobroma cacao after population-structure correction

A machine learning-based classification method for SynRM faults

Predicting skeletal fluorosis severity using machine learning across diverse fluoride-exposed populations in China

Detection of sample swapping in anti-doping investigations using machine learning

Explainable artificial intelligence for early Alzheimer’s diagnosis using enhanced grey relational features and multimodal data

Altitude-resolved prediction of roadside air pollution using UAV measurements and machine learning

Assessment of a 40-year-old induction motor using hybrid diagnostic and AI-based predictive techniques

Detecting chromatin state alterations in PBMCs associated with Type 2 Diabetes Mellitus

Disambiguation of multiple nutrient deficiency stresses in coconut using compositional nutrient diagnostic norms powered by machine learning algorithms

Detection and classification of chromosomes with sister chromatid cohesion defects using object detection models

Land-use controls on soil organic carbon dynamics across Amazonian ecosystems, Brazil

Coronary artery disease diagnosis with signal processing and machine learning of heart sound signals: a systematic review

Readability assessment of English translations of Chinese classics: a study based on XGBoost and BP neural networks

Routine blood tests and machine learning identify complications in high myopia

AI-driven prediction of consumer liking of coffee from sensory data

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

Deployment of a machine learning-based predictive system for childhood diarrhea in Sub-Saharan Africa

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

Global 0.25-degree gridded Snow water equivalent data derived from machine learning using in-situ measurements

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