Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
Large language model-based multiagent collaboration for abstract screening toward automated systematic reviews. [PDF]
Akinseloyin O, Jiang X, Palade V.
europepmc +1 more source
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li +7 more
wiley +1 more source
Education Research: Entrustable Professional Activities for General Neurology Advanced Practice Providers: Results of a Modified Delphi Consensus Process. [PDF]
Harrison DS +5 more
europepmc +1 more source
ABSTRACT Objective Eating disorders (EDs) are severe and complex psychiatric illnesses, with adolescence and young adulthood representing particularly vulnerable periods for onset, relapse and disruptions in treatment. The transition from Child and Adolescent Mental Health Services (CAMHS) to Adult Mental Health Services (AMHS) is especially complex ...
Maria Livanou +19 more
wiley +1 more source
Advancing cyberbullying detection in low-resource languages: a transformer- stacking framework for Bengali. [PDF]
Hoque MN +4 more
europepmc +1 more source
Bioinspired Crossmodal Tactile Sensory Nerve for High‐Accurate Object Recognition
An artificial crossmodal sensory neuron system (ACSNS) that combines a complementary memristor with high‐sensitivity pressure–temperature bimodal sensors, which integrate tactile perception, information storage, and neuromorphic computing. With the aid of machine learning, this ACSNS presents an improved accuracy of 96.67% in recognizing temperatures ...
Delu Chen +8 more
wiley +1 more source
ABSTRACT Nature‐based solutions (NBS) for climate adaptation encompass a range of approaches that work with nature to increase resilience to climate change while providing ecological, economic and social co‐benefits. These solutions have frequently been put forward for application in urban contexts, such as the creation of urban forests, but can ...
Anita Vollmer +2 more
wiley +1 more source
From predefined indicators to a management dashboard for heart failure telemonitoring: a modified nominal group technique approach in Portuguese hospitals. [PDF]
Miranda R +3 more
europepmc +1 more source
For the Few, Not the Many: Tracing the Residualist and Compensatory Nature of British Energy Support
ABSTRACT Drawing on extensive documentary analysis, this article traces the evolution of British energy policy support since World War II. It analyses shifts in policy design through two interpretive lenses: eligibility (residualist vs. universalist) and function (compensatory vs. preventive).
T. M. Croon +4 more
wiley +1 more source

