Results 131 to 140 of about 101,601 (232)

A Machine Learning Approach to Predict Functional Performance From Measurable Protein Structural Characteristics: A Screening Tool for Protein Ingredient Quality

open access: yesProteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT The food industry is witnessing the emergence of specialized protein‐based functional ingredients for the use as gelling, thickening, and/or emulsifying agents in various food applications. Different sources of protein including species and cultivars, as well as variable processing conditions affect the protein's structural characteristics ...
Ronit Mandal   +3 more
wiley   +1 more source

Machine‐learning approaches for characterizing the raindrop size distributions in Western Pacific tropical cyclones

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Long‐term disdrometer observations are utilized to derive Z–R relationships for ‐the Western Pacific tropical cyclones. A hybrid moment‐based approach is employed to determine the interrelationships among pairs of gamma distribution parameters. Enhanced estimates of rainfall rate and slope parameter are obtained using machine‐learning techniques ...
Jayalakshmi Janapati   +5 more
wiley   +1 more source

An Interpretable TCN– Transformer Framework for Lithium‐Ion Battery State of Health Estimation Using SHAP Analysis

open access: yesQuality and Reliability Engineering International, EarlyView.
ABSTRACT Accurate state of health (SOH) estimation of Li‐ion batteries is essential for ensuring safety, reliability, and prolonging battery lifespan in energy storage systems and electric vehicles. This study proposes a hybrid temporal convolutional network (TCN)–transformer framework that effectively captures both short‐term temporal dynamics and ...
Fusen Guo   +6 more
wiley   +1 more source

POIESIS: a phase III study of add-on navtemadlin in JAK inhibitor-naïve myelofibrosis patients with a suboptimal response to ruxolitinib. [PDF]

open access: yesFuture Oncol
Vachhani P   +13 more
europepmc   +1 more source

A CNN Approach for Simultaneous Spatiotemporal Fault Interpretation

open access: yesQuality and Reliability Engineering International, EarlyView.
ABSTRACT Convolutional Neural Networks (CNNs) have emerged as one of the most effective tools for image analysis. In this study, we propose a custom‐designed CNN architecture to construct a process control scheme based on image data. The product image is partitioned into equal‐sized grids, each comprising three channels: (i) reference image, (ii ...
Hamed Sabahno
wiley   +1 more source

How AI and Digital Technologies Can Enhance Sustainable Livestock Manure Management: An Overview From Treatment to Distribution

open access: yesSustainable Development, EarlyView.
ABSTRACT Sustainable livestock manure management sits at the nexus of climate, nutrient circularity and water quality. This review explores how artificial intelligence (AI) and digital platforms are used across four management stages, that is, treatment, storage, valorisation and distribution, and figures out where integration fails to deliver ...
Zhan Shi   +3 more
wiley   +1 more source

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