Results 91 to 100 of about 78,546 (297)

Industrial Maturity of Machine Learning Solutions Within the Food Industry

open access: yesIEEE Access
Ensuring food security is a crucial challenge becoming increasingly complex for society on a global level. Machine learning technology can help to overcome this challenge, however its successful deployment in practice is a mandatory prerequisite and ...
Laura Gradl   +2 more
doaj   +1 more source

Flexible Ag2Se‐Based Thermoelectrics: Fundamentals, Processing, and Device Applications

open access: yesAdvanced Materials, EarlyView.
Ag2Se‐based thermoelectrics are reviewed from fundamental transport mechanisms to flexible device integration. Crystal structure, defect chemistry, and band features are correlated with performance optimization strategies and scalable fabrication routes.
Jie Qin   +5 more
wiley   +1 more source

A Novel Deep Learning-Based Approach for Defect Detection of Synthetic Leather Using Gaussian Filtering

open access: yesIEEE Access
Synthetic leather is a commonly used material, especially in the clothing industry. It is employed in the production of footwear, such as shoes and boots, as well as handbags and other accessories.
Christopher Mai   +2 more
doaj   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

open access: yesAdvanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam   +6 more
wiley   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

open access: yesAdvanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Few-shot annotation correction for lightweight retinal vessel image segmentation

open access: yesFrontiers in Medicine
Retinal vessel segmentation underpins quantitative analysis in ophthalmology and is widely used for screening and diagnosis. In practice, manual annotations for thin and tortuous vessels are error-prone, yet the effect of positional label noise on ...
Huazhang Li   +6 more
doaj   +1 more source

A Hybrid Intelligence Method for Argument Mining

open access: yesJournal of Artificial Intelligence Research
Large-scale survey tools enable the collection of citizen feedback in opinion corpora. Extracting the key arguments from a large and noisy set of opinions helps in understanding the opinions quickly and accurately. Fully automated methods can extract arguments but (1) require large labeled datasets that induce large annotation costs and (2) work well ...
Michiel van der Meer   +5 more
openaire   +4 more sources

Elephant‐Skin‐Inspired Porous Cementitious Tiles with Programmable Crack Networks for Passive Cooling

open access: yesAdvanced Materials, EarlyView.
Elephant‐skin‐inspired crack networks are programmed in porous diatomaceous earth (DE)‐cement composites using substrate‐guided, stress‐concentration induced fracture. The resulting crack lattices act as capillary conduits that redistribute water, while the porous matrix stores moisture.
Qingya Huang   +5 more
wiley   +1 more source

Turning Unpredictable Biomolecule Adsorption to Controlled Corona Formation: Focus on Carbon Nanomaterials

open access: yesAdvanced Materials, EarlyView.
Controlling the protein corona formation onto carbon nanomaterials (CNMs) enhances their functionalities as platforms for cancer theranostics. Here, we reviewed the effects of the intrinsic and acquired properties of CNMs on protein corona formation, the consequent biological and toxicological outcomes, and the strategies to reshape corona formation ...
Yajuan Zou   +5 more
wiley   +1 more source

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