Results 211 to 220 of about 274,129 (290)

The role of cardiac acoustic biomarkers in monitoring patients with heart failure: A systematic literature review

open access: yesESC Heart Failure, Volume 12, Issue 2, Page 980-997, April 2025.
Abstract Heart failure (HF) creates a considerable clinical, humanistic and economic burden on patients and caregivers as well as on healthcare systems. To attenuate the significant burden of HF, there is a need for enhanced management of patients with HF.
Javed Butler   +8 more
wiley   +1 more source

Assembly theory and its relationship with computational complexity. [PDF]

open access: yesNpj Complex
Kempes CP   +6 more
europepmc   +1 more source

AI‐driven circular economy optimization in waste management: A review of current evidence

open access: yesEnvironmental Progress &Sustainable Energy, EarlyView.
Abstract The integration of artificial intelligence (AI) and machine learning (ML) in waste management has the potential to significantly advance circular economy objectives by enhancing efficiency, reducing waste, and optimizing resource recovery. However, realising these benefits depends on addressing significant technical, economic, and systemic ...
David Bamidele Olawade   +3 more
wiley   +1 more source

Appraising Policies Through Social Multi‐Criteria Evaluation: Lessons From a Systematic Review of Applications

open access: yesEuropean Policy Analysis, EarlyView.
ABSTRACT In response to renewed interest in analytical tools that address complex policy problems and move beyond linear‐rational approaches in policy appraisal, Social Multi‐Criteria Evaluation (SMCE) integrates participatory approaches with multi‐criteria analysis (MCA), thereby incorporating specialised knowledge and diverse social values and ...
Egle Basyte Ferrari
wiley   +1 more source

Unsupervised clustering of electroclinical features in temporal lobe epilepsy: A data‐driven approach

open access: yesEpileptic Disorders, EarlyView.
Abstract Objective To identify clinically meaningful patterns in ictal electroclinical features of focal epilepsy using a data‐driven, unsupervised learning approach, and to assess whether such patterns can localize and lateralize the epileptogenic zone (EZ) more accurately than conventional electroclinical interpretation.
Maria Vlachou   +8 more
wiley   +1 more source

Real‐Time Data‐Driven Fault Diagnosis of Photovoltaic Arrays Using an Edge‐Server Machine‐Learning Framework

open access: yesEnergy Science &Engineering, EarlyView.
A real‐time, data‐driven framework detects and classifies photovoltaic array faults using edge sensing and server‐side machine learning. Ensemble tree models achieve near‐perfect accuracy with low latency, enabling practical, low‐cost deployment for reliable PV monitoring and intelligent maintenance.
Premkumar Manoharan   +4 more
wiley   +1 more source

Estimation of substitution and indel rates via <i>k</i>-mer statistics. [PDF]

open access: yesAlgorithms Bioinform
Hera MR   +3 more
europepmc   +1 more source

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