Results 241 to 250 of about 4,252,197 (332)

Asphalt concrete pavements of bridges under thermal stress

open access: diamond, 2020
Ilya Grishm, R. A. Kayumov, G. P. Ivanov
openalex   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Utilizing Data Imbalance to Enhance Compound–Protein Interaction Prediction Models

open access: yesAdvanced Intelligent Systems, EarlyView.
This research paper introduces FilmCPI, a sequence‐based model for predicting compound–protein interactions. It uniquely leverages data imbalance between proteins and compounds to improve performance. FilmCPI outperforms baseline models across multiple datasets and demonstrates strong transferability to unseen protein families without increasing ...
Wei Lin, Chi Chung Alan Fung
wiley   +1 more source

Robotic Environmental Monitoring Using Gelatin Hydrogels as a Biodegradable Adhesive

open access: yesAdvanced Intelligent Systems, EarlyView.
Gelatin‐based hydrogels are presented as a robust, biodegradable, and water‐soluble method of adhesion for robotic environmental monitoring. Factors affecting the adhesion strength are characterized, and the hydrogel is tested on different materials with varying surface roughness.
Christian Geckeler   +2 more
wiley   +1 more source

Analyzing two different data processing strategies for monitoring concrete structures using ultrasonic pulse velocity

open access: diamond, 2012
Alexandre Lorenzi   +3 more
openalex   +2 more sources

Forecasting Research Trends Using Knowledge Graphs and Large Language Models

open access: yesAdvanced Intelligent Systems, EarlyView.
When research trends can be anticipated, academia and industry are able to allocate limited resources more effectively and accelerate innovation. By constructing knowledge graphs using large language models, this study analyzes the time evolution of nuclear materials research concepts and suggests a data‐driven approach of forecasting research trends ...
Maciej Tomczak   +7 more
wiley   +1 more source

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