Results 211 to 220 of about 507,216 (286)

Cellpose+, a Morphological Analysis Tool for Feature Extraction of Stained Cell Images

Advanced Intelligent Discovery, EarlyView.
We introduce Cellpose plus, a morphological and geometrical analysis tool for feature extraction of stained cell images built over Cellpose, a state‐of‐the‐art cell segmentation framework. We also introduce a dataset of DAPI and FITC stained cells to which our new method is applied.
Israel A. Huaman, Fares D. E. Ghorabe, Sofya S. Chumakova, Alexandra A. Pisarenko, Alexey E. Dudaev, Tatiana G. Volova, Galina A. Ryltseva, Sviatlana A. Ulasevich, Ekaterina I. Shishatskaya, Ekaterina V. Skorb, Pavel S. Zun   +10 more
wiley   +1 more source

Combined impact of semantic segmentation and quantitative structure modelling of Southern pine trees using terrestrial laser scanning. [PDF]

Sci Rep
Xia J, Martin TA, Peter GF, Brock KM, Atkins JW, Gitzendanner MA, Bueno I, Calders K, Corte APD, Hudak AT, Schlickmann MB, Andreu MG, Hamamura C, Klauberg C, Silva CA.   +14 more
europepmc   +1 more source

Sequentially Perfect and Uniform One-Factorizations of the Complete Graph [PDF]

, 2005
Jeffrey H. Dinitz, Peter J. Dukes, Douglas R. Stinson   +2 more
openalex   +1 more source

In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR

Advanced Intelligent Discovery, EarlyView.
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley   +1 more source

Validation of a novel EC and PPD-based decision tree model for tuberculosis screening in Tibetan adolescent students. [PDF]

Front Med (Lausanne)
Hong W, Xu Y, Wen L, Zhou Y, Huang C.
europepmc   +1 more source

On the Number of Perfect Matchings and Hamilton Cycles in $\epsilon$-Regular Non-bipartite Graphs [PDF]

, 2000
Alan Frieze
openalex   +1 more source

Designing Memristive Materials for Artificial Dynamic Intelligence

Advanced Intelligent Discovery, EarlyView.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source

An explainable and efficient deep learning framework for EEG-based diagnosis of Alzheimer's disease and frontotemporal dementia. [PDF]

Front Med (Lausanne)
Khan W, Khan MS, Qasem SN, Ghaban W, Saeed F, Hanif M, Ahmad J.   +6 more
europepmc   +1 more source

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

Advanced 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

HGLER: A hierarchical heterogeneous graph networks for enhanced multimodal emotion recognition in conversations. [PDF]

PLoS One
Zhou Q.
europepmc   +1 more source