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Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space

Advanced Intelligent Discovery, EarlyView.
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla, Ellis Crabtree, Fredrick Michael, Yayue Pan, Jida Huang   +4 more
wiley   +1 more source

A hierarchical deep learning framework with doubly regularized loss for robust malware detection and family categorization. [PDF]

Sci Rep
Abed Alsaedi S, Alwateer M, Helal Alharbi N, Magdy Balaha H, M Aboelnaga M, Badawy M, A Elhosseini M.   +6 more
europepmc   +1 more source

Identification of plant-parasitic nematode genera in turfgrass using deep learning algorithms. [PDF]

Sci Rep
Rangarajan V, Shahoveisi F, Waldo BD, Jafari S.   +3 more
europepmc   +1 more source

HydroPredictor a hybrid machine learning model for addressing data scarcity in groundwater prediction. [PDF]

Sci Rep
Elmotawakkil A, Moumane A, Zahi A, Sadiki A, Karkouri JA, Batchi M, Bhagat SK, Enneya N.   +7 more
europepmc   +1 more source

Intelligent strength training for football players using resnext optimized by upgraded chimp optimization algorithm. [PDF]

Sci Rep
Zhang W, Zhang Y.
europepmc   +1 more source

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Grid search in hyperparameter optimization of machine learning models for prediction of HIV/AIDS test results

International Journal of Computer Applications, 2021
In this work, we propose hyperparameters optimization using grid search to optimize the parameters of eight existing models and apply the best parameters to predict the outcomes of HIV tests from the Ethiopian Demographic and Health Survey (EDHS), HIV ...
Daniel Mesafint Belete, M. D. Huchaiah
semanticscholar   +1 more source