Results 171 to 180 of about 20,099 (291)

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

open access: yesDeep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li   +4 more
wiley   +1 more source

Sustainable Live Sound Monitoring and Classification System Enabled by a Triboelectric Nanogenerator and Machine Learning Techniques

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A high‐performance Triboelectric Nanogenerator (TENG) acoustic sensor using polyimine/graphite polypropylene (PI/GP) was developed for real‐time, sustainable sound monitoring and classification. The self‐powered device delivers 25.67 μW output power, 92.7% accuracy with MobileNet V1, and powers a wireless transmission circuit, demonstrating dual ...
Majid Haji Bagheri   +8 more
wiley   +1 more source

How Changing Narratives About the Future Shape Policymaking for the Long Term

open access: yesEuropean Policy Analysis, EarlyView.
ABSTRACT How can we explain decisions by governments to engage in policy investments—accepting short‐term costs in return for anticipated gains in the longer term—after previously sustaining the status quo? Our article examines the role of narratives in changing expectations about the future as a key driver of intertemporal policymaking. In light of an
Pieter Tuytens, Charlotte Haberstroh
wiley   +1 more source

Synthesis, Structural, Dielectric, Electrical, and Magnetic Characterization of Dysprosium Orthoferrite Nanoparticles. [PDF]

open access: yesACS Omega
Yadav A   +10 more
europepmc   +1 more source

Covariance Structure Modeling of Engineering Demand Parameters in Cloud‐Based Seismic Analysis

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Probabilistic seismic demand modeling aims to estimate structural demand as a function of ground motion intensity—a critical stage in seismic risk assessment. Although many models exist to describe the structural demand, few consider the covariance among engineering demand parameters, potentially overlooking a key factor in improving the ...
Archie Rudman   +3 more
wiley   +1 more source

Integrating Remote Sensing and Machine Learning for Enhanced Surface Urban Heat Island Analysis and Its Impact on Building Energy Demand

open access: yesEnergy Science &Engineering, EarlyView.
Satellite (MODIS) mapping links Urban Heat Island (UHI) intensity to city‐scale energy demand—higher daytime cooling demand and altered nighttime heating demand—supporting targeted mitigation and planning. ABSTRACT This study examines the surface urban heat island (SUHI) effect on building energy consumption in Tehran from 1998 to 2024, utilizing MODIS
Rasool Maroofiazar, Ali Maboudi Reveshti
wiley   +1 more source

An Energy Efficient Memory Cell for Quantum and Neuromorphic Computing at Low Temperatures. [PDF]

open access: yesNano Lett
Han Y   +9 more
europepmc   +1 more source

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