Deep learning decodes species-specific codon usage signatures in Brassica from coding sequences. [PDF]
Sci RepShahzad A, Arfan M, Khalid N.
europepmc +1 more source
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 +4 more
wiley +1 more source
A note on the hardness results for the labeled perfect matching problems in bipartite graphs [PDF]
, 2007 Jérôme Monnot
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Perfect Matchings via Uniform Sampling in Regular Bipartite Graphs
, 2008 Ashish Goel +2 more
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An explainable and efficient deep learning framework for EEG-based diagnosis of Alzheimer's disease and frontotemporal dementia. [PDF]
Front Med (Lausanne)Khan W +6 more
europepmc +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advanced Intelligent Discovery, EarlyView.Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
Perfect state transfer in integral circulant graphs
, 2009 Milan Bašić +2 more
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An EEG-network-metric based approach to real-time trust inference in human-autonomy teaming. [PDF]
Front NeuroergonBales G +5 more
europepmc +1 more source
A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons
Advanced Intelligent Discovery, EarlyView.We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam +5 more
wiley +1 more source
An improved linear bound on the number of perfect matchings in cubic graphs
, 2009 Louis Esperet +3 more
openalex +1 more source