Results 221 to 230 of about 45,384 (296)

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

open access: yesDeep Underground Science and Engineering, EarlyView.
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

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

open access: yesDeep Underground Science and Engineering, EarlyView.
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]

open access: yesNeurol Educ
Harrison DS   +5 more
europepmc   +1 more source

Co‐Producing the Transition to Eating Disorder Youth Intervention: Experience‐Based Co‐Design Workshops Supporting Young People in Transition

open access: yesInternational Journal of Eating Disorders, EarlyView.
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

Bioinspired Crossmodal Tactile Sensory Nerve for High‐Accurate Object Recognition

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
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

Nature‐Based Solutions for Climate Adaptation: Review of Barriers to Adoption and Guidelines for Policymakers

open access: yesEnvironmental Policy and Governance, EarlyView.
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

For the Few, Not the Many: Tracing the Residualist and Compensatory Nature of British Energy Support

open access: yesEnvironmental Policy and Governance, EarlyView.
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

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