Results 151 to 160 of about 137,342 (261)
A Clique-Based Separator for Intersection Graphs of Geodesic Disks in [Formula: see text]. [PDF]
Aronov B, de Berg M, Theocharous L.
europepmc +1 more source
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source
A fuzzy graph theoretic approach to face shape recognition using cubic outerplanar structures. [PDF]
Jaisankar D, Ramalingam S, Zegeye GB.
europepmc +1 more source
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley +1 more source
An Euler Graph-Based Path Planning Method for Additive Manufacturing Thin-Walled Cellular Structures of Continuous Fiber-Reinforced Thermoplastic Composites. [PDF]
Liu G +7 more
europepmc +1 more source
Monotonic Representations of Outerplanar Graphs as Edge Intersection Graphs of Paths on a Grid
Eranda Çela, Elisabeth Gaar
openalex +1 more source
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta +3 more
wiley +1 more source
A fuzzy soft planar graph with application in image segmentation. [PDF]
Khan WA +5 more
europepmc +1 more source
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
IRN2Vec: A representation learning model for road network intersections by integrating geospatial attributes and travel behaviors. [PDF]
Yang X.
europepmc +1 more source

