Results 91 to 100 of about 982,398 (277)

Application of supervised machine learning and Taylor diagrams for prognostic analysis of performance and emission characteristics of biogas-powered dual-fuel diesel engine

open access: yesInternational Journal of Renewable Energy Development
In the ongoing search for an alternative fuel for diesel engines, biogas is an attractive option. Biogas can be used in dual-fuel mode with diesel as pilot fuel.
Khac Binh Le   +3 more
doaj   +1 more source

3D (Bio) Printing Combined Fiber Fabrication Methods for Tissue Engineering Applications: Possibilities and Limitations

open access: yesAdvanced Functional Materials, EarlyView.
Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana   +2 more
wiley   +1 more source

Improved random forest algorithms for increasing the accuracy of forest aboveground biomass estimation using Sentinel-2 imagery

open access: yesEcological Indicators
A simpler, unbiased, and comprehensive random forest (RF) model is needed to improve the accuracy of aboveground biomass (AGB) estimation. In this study, data were obtained from 128 sample plots of Pinus yunnanensis forest located in Chuxiong prefecture,
Xiaoli Zhang   +11 more
doaj   +1 more source

Endocytic Programming via Porous Silicon Nanoparticles Enhances TLR4 Nanoagonist Potency for Macrophage‐Mediated Immunotherapy

open access: yesAdvanced Functional Materials, EarlyView.
Porous silicon nanoparticles (PSiNPs) reprogram macrophage endocytosis of manganese@albumin‐based TLR4 nanoagonists, driving TRIF‐biased TLR4 signaling, eliciting robust proinflammatory responses, and potentiating macrophage‐mediated immunotherapeutic effects against NSCLC.
Xiaomei Zhang   +9 more
wiley   +1 more source

The interaction between temperature and rainfall determines the probability of tropical forest fire occurrence in Hainan Island

open access: yesFrontiers in Forests and Global Change
Severe forest fires have erupted in numerous tropical regions globally, threatening carbon storage in tropical ecosystems, the survival of plant species, and human health.
Xiaohua Chen   +8 more
doaj   +1 more source

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

open access: yesAdvanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto   +8 more
wiley   +1 more source

Wood Reconfiguration Enables Broadband Blackbody in Large‐Area, Modular, Optically Welded Carbon Constructs

open access: yesAdvanced Functional Materials, EarlyView.
Wood‐based broadband blackbody is achieved by reconfiguration of wood with lignin nanoparticles prior carbonization. Neglectable reflectivity from the visible to infrared wavelengths is obtained by combining thin nanostructures originated from the wood cell walls with long‐range microcavities in the wood lumina.
Bin Zhao   +7 more
wiley   +1 more source

Monocular Road Detection Using Structured Random Forest

open access: yesInternational Journal of Advanced Robotic Systems, 2016
Road detection is a key task for autonomous land vehicles. Monocular vision-based road-detection algorithms are mostly based on machine learning approaches and are usually cast as classification problems.
Liang Xiao   +4 more
doaj   +1 more source

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

open access: yesAdvanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu   +5 more
wiley   +1 more source

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