Results 121 to 130 of about 196,483 (296)

AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing

Advanced Materials, EarlyView.
This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee, Moon‐Jo Kim, DongEung Kim, Chan Ho Moon, Seojoon Bang, Hyeong Seok Kang, Ju Yeong Gwon, Jong Hwa Seo, Junhyub Jeon, Junhyuk Son, Munwon Lim, Minho Kang, Dong Yun Lee, Donghyun Lim, Jung‐Hoon Park, Gi Doo Cha, Soo‐Hong Lee, Tae‐Sik Jang, Kisuk Yang, Yunho Jeong, Youngho Eom, Hyun‐Do Jung   +21 more
wiley   +1 more source

Advanced reference crop evapotranspiration prediction: a novel framework combining neural nets, bee optimization algorithm, and mode decomposition

Applied Water Science
Various critical applications, spanning from watershed management to agricultural planning and ecological sustainability, hinge upon the accurate prediction of reference evapotranspiration (ETo).
Ahmed Elbeltagi, Okan Mert Katipoğlu, Veysi Kartal, Ali Danandeh Mehr, Sabri Berhail, Elsayed Ahmed Elsadek   +5 more
doaj   +1 more source

Evaluating Pavement Cracks with Bidimensional Empirical Mode Decomposition

EURASIP Journal on Advances in Signal Processing, 2008
Crack evaluation is essential for effective classification of pavement cracks. Digital images of pavement cracks have been analyzed using techniques such as fuzzy set theory and neural networks.
Nii Attoh-Okine, Albert Ayenu-Prah
doaj   +1 more source

An Atomic‐Level Bimetallic MOF Platform Overcoming the Stability‐Performance Tradeoff for Laser Propulsion

Advanced Materials, EarlyView.
This work introduces an atomic‐level engineered bimetallic MOF Platform that resolves the inherent trade‐off between environmental stability and propulsion efficiency. By integrating robust Fe‐O bonds for hydrolysis resistance and enabling d‐orbital charge transfer (Fe3+→Cu2+) for enhanced photothermal conversion, the design achieves a highly durable ...
Senlin Rao, Gang Tang, Shizhuo Zhang, Gary J. Cheng   +3 more
wiley   +1 more source

Improving seismic signal classification of different ground activities with advanced AI and signal processing techniques

Discover Geoscience
This study presents a comparative framework for seismic signal classification based on adaptive decomposition and Hilbert spectral analysis. A self-recorded vibration dataset containing approximately 4,500 one-second segments of pedestrian, bicycle, and ...
Abdul Moiz, Mohsin Jadoon, Sohaib Ahmad, Arshad Iqbal, Muhammad Bilal Qureshi   +4 more
doaj   +1 more source

Enhanced hybrid CEEMDAN-GMDH regression model for forewarning sucking pests in cotton crops of Coimbatore, Tamil Nadu

Journal of Agrometeorology
Effective pest management relies on early and accurate forecasting, yet current models struggle to capture regional specific complex relationship between weather conditions and pest incidence.
N. NARANAMMAL, S. R. KRISHNA PRIYA, NAVEENA. K.   +2 more
doaj   +1 more source

Optical Detection and Modeling of Lithium Deposition on Copper Current Collectors

Advanced Materials Interfaces, EarlyView.
ABSTRACT Understanding lithium (Li) deposition on copper (Cu) substrates is essential for improving the performance and lifetime of zero–excess lithium metal batteries. In this study, Li deposition was investigated under realistic coin–cell conditions using complementary scanning electron microscopy and laser scanning microscopy. A semi–automatic image
Tjark T. K. Ingber, Len Kimms, Martin Winter, Andreas Heuer, Diddo Diddens   +4 more
wiley   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

Advanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding, Danny E. P. Vanpoucke, Yunus T. Aksoy, Tobias Corthouts, Maria R. Vetrano, Wim Deferme   +5 more
wiley   +1 more source

Detrending And Denoising With Empirical Mode Decompositions

, 2004
Publication in the conference proceedings of EUSIPCO, Viena, Austria ...
Flandrin, Patrick, Gonçalves, Paulo, Rilling, Gabriel   +2 more
openaire   +2 more sources

Simultaneous Measurement of Thermal Expansion and Thermo‐Optic Effect in Solids Using Terahertz Spectroscopy

Advanced Optical Materials, EarlyView.
Thermal expansion and the thermo‐optic effect in solids are closely coupled, reflecting concurrent changes in mass density and polarizability. Using echo‐resolved THz spectroscopy, we simultaneously determine sub‐micrometer thermal expansion and complex refractive index changes of MgO and Al2O3 from 10–325 K. The analysis yields both the coefficient of
Nicolas S. Beermann, Andreas Gebauer, Savio Fabretti, Wentao Zhang, Hassan A. Hafez, Dmitry Turchinovich   +5 more
wiley   +1 more source