Results 41 to 50 of about 6,286 (230)
This paper illustrates a knowledge‐augmented dual‐track AI framework for advanced superalloy design. First, Large Language Models translate metallurgical heuristics into explicit rules to rapidly prune a vast compositional search space. Subsequently, LLM‐distilled priors safely guide a reinforcement learning agent during autonomous process optimization,
Jian Yao +9 more
wiley +1 more source
Vanilla is one of the export commodities with a relatively high economic value. One of the problems with vanilla cultivation is the health of vanilla seedlings.
Dwi Erwin Kusbianto +4 more
doaj +1 more source
Convolutional neural network (CNN)-based models are widely used in human movement decoding based on surface electromyography. However, they capture only the spatial information of the surface electromyography and lack prior knowledge of the system ...
Anyuan Zhang +3 more
doaj +1 more source
Adaptive Responses of Tropical Crops: A Multi‐Scale Omics Integrated Perspective
Tropical crops integrate genomic, morphological, physiological, and ecological adaptations to thrive under extreme and variable environments. This review highlights how natural selection, domestication, and breeding shape stress resilience, resource‐use strategies, and productivity in sugarcane, banana, cassava, rubber and oil palm, offering new routes
Peilin Wang +11 more
wiley +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Interpretable Short‐Term Electric Load Forecasting
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola +6 more
wiley +1 more source
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou +5 more
wiley +1 more source
SIFAT FISIOKIMIA DAN AROMA EKSTRAK VANILI
The curing process of vanilla beans from dried vanilla to vanilla extract would give added value to vanilla products. Aroma and taste in vanilla extract depend on variety of plants, cultivation methods, and curing process. Indonesian vanilla extract tend
Dwi Setyaningsih +2 more
doaj
Integrating machine learning, deep learning, and image analysis for seed species classification
Abstract Premise The growing demand for wildflower seeds in ecological restoration requires reliable species identification, yet current market products often contain heterogeneous species. As seed identification is labor‐intensive and requires advanced botanical knowledge, we evaluated multiple segmentation and classification approaches to determine ...
Jonathan Ashworth +6 more
wiley +1 more source
Fermentation enhances nutritional & techno‐functional properties of plant protein. Three distinct stages of fermentation impact on different aspects of plant protein. Fermentation induces flavors modulation through new organic compounds formation. Plant protein fermentation improves their utility in food applications.
Disha +3 more
wiley +1 more source

