Results 111 to 120 of about 6,344,658 (293)
Comparison of 2D, 2.5D, and 3D landmark localization networks for 3D cephalometry in CT images
BMC Oral HealthBackground Accurate landmark localization is important for three-dimensional (3D) cephalometric analysis. Although deep learning has shown promising performance for 3D landmark localization, the high computational burden of processing volumetric data ...
Soo-Min Kim +8 more
doaj +1 more source
Gray-Edge-HOG feature based cascaded learning for facial landmark detection
MATEC Web of Conferences, 2018 Compared with the traditional statistical models, such as the active shape model and the active appearance model, the facial feature point localization method based on deep learning has improved in accuracy and speed, but there still exist some problems.
Zhang Wenhui +3 more
doaj +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
When Biology Meets Medicine: A Perspective on Foundation Models
Advanced Intelligent Discovery, EarlyView.Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
Angewandte Chemie, EarlyView.Peptide‐to‐Small Molecule Paradigm: Peptidomimetics have evolved from simple mimicry toward drug‐like scaffolds supported by increasing clinical successes. This Perspective highlights the geometric design principles—linear repetition, convergent fusion, and cyclization—defining the next‐generation peptidomimetic architectures capable of targeting ...
Jesang Lee +5 more
wiley +2 more sources
, 2005 An inverted figurative monument to Victorian governor Charles Joseph Latrobe. By creating the impression that a nineteenth century statue has been made to stand precariously on its head, the work seeks to address the tension between the authority of the ...
Robb, Charles
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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
Texas SAR Arlington Chapter #7 & Arlington Landmark Preservation Commission
, 2016 Texas Sons of the American Revolution Chapter #7 and the Arlington Landmark Preservation Commission invitation to join them for a reception and graveside ceremony with Honorary Musket Salute on Saturday, March 12th, 2016.
Sons of the American Revolution. Texas Society. Arlington Chapter 7.
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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