Results 81 to 90 of about 35,641 (264)
Advanced Intelligent Discovery, EarlyView.Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
wiley +1 more source
Fluorescent Hydrogel‐Based Strain Sensor With Machine Learning‐Augmented Performance
Advanced Intelligent Discovery, EarlyView.Fluorescent hydrogel strain sensor based on carbon quantum dots enabling optical readout of deformation through strain‐dependent emission changes, coupled with Random Forest analysis to capture nonlinear fluorescence‐concentration relationships and identify optimal sensing conditions. Hydrogels are ideal matrices for bio‐integrated wearable sensors due
Tailai Chen +4 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Visual Learning for Landmark Recognition
, 1997 Recognizing landmark is a critical task for mobile robots. Landmarks are used for robot positioning, and for building maps of unknown environments. In this context, the traditional recognition techniques based on strong geometric models cannot be used.
Takeuchi, Yutaka +3 more
openaire +2 more sources
Interpreting How Neural Networks Infer Scatterer Geometry from Echolocation Echoes
Advanced Intelligent Systems, EarlyView.Neural networks enable echolocation‐based shape classification but remain difficult to interpret due to their black‐box nature. This work presents a feature‐importance metric to uncover the echo regions driving decisions in shape‐specialized networks.
Ganesh U. Patil +2 more
wiley +1 more source
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
Facial Component-Landmark Detection With Weakly-Supervised LR-CNN
IEEE Access, 2019 In this paper, we propose a weakly supervised landmark-region-based convolutional neural network (LR-CNN) framework to detect facial component and landmark simultaneously.
Ruiheng Zhang +4 more
doaj +1 more source
Australian Journal of Social Issues, EarlyView.ABSTRACT Australia's Closing the Gap reform aims to address disparities experienced by Aboriginal and Torres Strait Islander peoples. There are specific targets focussed on key educational transitions; yet, the transition to secondary education is not a targeted priority.
Azhar Hussain Potia +3 more
wiley +1 more source
Australian Journal of Social Issues, EarlyView.ABSTRACT In Australia, governments fund Community Legal Centres (CLCs) as part of the legal assistance sector (LAS) to meet the ‘legal needs’ of people experiencing disadvantage who cannot afford private legal services. Persistent unmet demand for CLCs is well‐documented. As artificial intelligence (AI) is increasingly used in private legal practice to
Catherine Hastings +2 more
wiley +1 more source
Geomagnetic Field Based Indoor Landmark Classification Using Deep Learning
IEEE Access, 2019 The unstable nature of radio frequency signals and the need for external infrastructure inside buildings have limited the use of positioning techniques, such as Wi-Fi and Bluetooth fingerprinting.
Bimal Bhattarai +3 more
doaj +1 more source