Results 121 to 130 of about 791,112 (289)
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley +1 more source
Generating functions and duality for integer programs
Discrete Optimization, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
Ruehr's Identities With Two Additional Parameters
, 2016 We present generalizations of Ruehr’s identities with two additional parameters. We prove the claimed results by two di?erent proof methods, namely combinatorially and mechanically.
Kılıç, Emrah, Arıkan, Talha
core
Exploiting Edge Semantics in Job Shop Scheduling Problem With Heterogeneous Graph Transformers
Advanced Intelligent Systems, EarlyView.A heterogeneous graph transformer (HGT) is introduced for reinforcement learning‐based job shop scheduling by explicitly distinguishing precedence and machine‐contention relations through edge‐type‐specific attention. The proposed framework learns richer scheduling representations, improves decision quality over homogeneous graph models, and highlights
Bulent Soykan, Fatih Kasimoglu
wiley +1 more source
Beurling-Integers with Lacunarity
We present examples of multiplicative semigroups of positive reals (Beurling’s generalized integers) with gaps bounded from ...
Ruzsa, Z. Imre, Imre Z. Ruzsa
core +1 more source
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
Advanced Intelligent Systems, EarlyView.This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
Graph Neural Network‐Based Reinforcement Learning for Decentralized Multi‐Robot Manipulation
Advanced Intelligent Systems, EarlyView.Robot arms lifting a large object face a trade‐off: centralized controllers explode in parameters, while decentralized ones cannot coordinate. A GNN resolves this—each arm runs its own network but acts on the full team state, achieving centralized‐level coordination with decentralized execution. Trained across team sizes, a single policy scales to four‐
Tong Chen +3 more
wiley +1 more source
Australian Journal of Social Issues, EarlyView.ABSTRACT Most adults with neurological disability rely on general practitioners for managing and preventing health complications. This study analysed patterns of general practice service utilisation among National Disability Insurance Scheme (NDIS) participants with neurological disability and compared these with people who are not NDIS participants ...
Stacey Oliver +8 more
wiley +1 more source
Animal Models and Experimental Medicine, EarlyView.A zebrafish xenograft model accurately distinguishes metastatic from non‐metastatic HNSCC and recapitulates cisplatin sensitivity/resistance patterns. Using patient‐derived tumors, it predicts individual therapeutic responses, offering a rapid, clinically applicable platform for guiding personalized treatment. Abstract Background Head and neck squamous
Lu Chen +11 more
wiley +1 more source