Results 41 to 50 of about 201 (165)
Even Harmonious Labelings of Disconnected Graphs [PDF]
University of Minnesota M.S. thesis. May 2015. Major: Applied and Computational Mathematics. Advisor: Joseph Gallian. 1 computer file (PDF); v, 72 pages.A graph $G$ with $q$ edges is called \textit{graceful} if there is an injection from the vertices of $
Stewart, Danielle
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Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
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
Fuzzy EOQ Model with Trapezoidal and Triangular Functions Using Partial Backorder [PDF]
EOQ fuzzy model is EOQ model that can estimate the cost from existing information. Using trapezoid fuzzy functions can estimate the costs of existing and trapezoid membership functions has some points that have a value of membership . TR ̃C value results
Elis Ratna Wulan, Elis +1 more
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A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons
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
ADVANCES IN MACHINE LEARNING AND INTEGRATED CIRCUITS FOR SMART ASSISTIVE TECHNOLOGIES [PDF]
Thesis (Ph.D.)--Michigan State University. Electrical and Computer Engineering - Doctor of Philosophy, 2024Assistive technologies have emerged as powerful tools for assessing physical health and wellness through monitoring physiological parameters such ...
Ashoori, Ehsan
core +2 more sources
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Rotulações próprias por gap : variantes de arestas e de vértices [PDF]
Orientadores: Christiane Neme Campos, Rafael Crivellari Saliba SchoueryDissertação (mestrado) - Universidade Estadual de Campinas, Instituto de ComputaçãoResumo: Uma rotulação própria é uma atribuição de valores numéricos aos elementos de um grafo, que ...
Santos, Celso Aimbiré Weffort, 1990-
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When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
A random Hall-Paige conjecture
A complete mapping of a group $G$ is a bijection $\phi\colon G\to G$ such that $x\mapsto x\phi(x)$ is also bijective. Hall and Paige conjectured in 1955 that a finite group $G$ has a complete mapping whenever $\prod_{x\in G} x$ is the identity in the ...
Müyesser, Alp, Pokrovskiy, Alexey
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