Results 111 to 120 of about 448,451 (289)

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
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, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

Four‐Dimensional Electrochemiluminescence Microscopy Enables Depth‐Resolved Imaging of Single, Living Spheroids

Angewandte Chemie, EarlyView.
A hybrid “confocal” electrochemiluminescence (ECL) microscopy combines depth‐resolved and time‐resolved imaging to visualize ECL processes across three spatial dimensions and time. By exploiting sluggish coreactant kinetics at ITO electrodes, homogeneous redox propagation enables depth‐resolved, single‐cell resolution mapping of living multicellular ...
Elisa D'Arrigo, Vanshika Gupta, Bertrand Goudeau, Jeffrey E. Dick, Neso Sojic   +4 more
wiley   +2 more sources

Global Optimization strategies for two-mode clustering [PDF]

Two-mode clustering is a relatively new form of clustering that clusters both rows and columns of a data matrix. To do so, a criterion similar to k-means is optimized.
Castilli, W., Rosmalen, J.M. van, Groenen, P.J.F., Trejos, J.   +3 more
core  

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

Relaxed Stabilization Criteria for Polynomial Fuzzy Systems via Switched Fuzzy Controller

Mathematics
This paper studies the problem of controller design for polynomial fuzzy-model-based (PFMB) systems. To make full use of the information of membership functions (MFs), the operating space is partitioned into several subspaces.
Mohan Hao, Lantian Guo
doaj   +1 more source

Pre‐Curved Everting Robots With Embedded Steering Intelligence Fabricated by CO2 Laser Welding

Advanced Intelligent Systems, EarlyView.
Design and experimental demonstration of a laser welded growing robot for anatomically guided navigation. The robot follows an aortic arch phantom entering the branchiocephalic branch through steering by design. The figure shows the physical phantom setup, CAD defined weld geometry and full robot eversion.
Brandon Saldarriaga, Panagiotis Kalozoumis, Panagiotis Vartholomeos, Carlo Seneci, Kawal Rhode, Christos Bergeles   +5 more
wiley   +1 more source

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

BEYOND EUCLIDEAN: A METRIC-OPTIMIZED TYPE-1 FUZZY SVR FUNCTIONS ARCHITECTURE FOR TIME SERIES FORECASTING

Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi
This paper introduces a distance-aware forecasting framework based on type-1 fuzzy support vector regression functions, designed to examine the impact of distance metric selection on fuzzy time series prediction performance. The proposed approach extends
İbrahim Cimşit, Ali Zafer Dalar, Ufuk Yolcu   +2 more
doaj   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Who Owns the Output? Authorship, Creative Labour, and Innovation Capability in Human‐AI Collaboration

AI &Innovation, EarlyView.
ABSTRACT Generative AI is radically transforming how creative authorship is understood, attributed, and governed across the world’s cultural and creative industries. As AI systems increasingly produce outputs that organisations and audiences recognise as creative, foundational assumptions about who authors creative work, who receives credit for it, and
Ololade A. Shonubi
wiley   +1 more source