Results 101 to 110 of about 14,796 (293)

Reimagining Lignin Valorization: Synthetic Biology–Enabled Sustainable Aromatic Carbon Biomanufacturing

open access: yesAdvanced Science, EarlyView.
The diagram illustrates a sustainable model of lignin valorization and carbon cycling based on microbial cell factories. Using lignin as the feedstock, synthetic biology technologies, including depolymerization, cell factory construction, pathway gene module integration, and metabolic network regulation, are applied to convert lignin into bulk ...
Na Li   +4 more
wiley   +1 more source

Sectional-line-and-landmark-based 3D facial analysis [PDF]

open access: yes, 2018
Sectional-line-and-landmark-based 3D facial analysis reproduced with permission (Tanikawa C, Zere E, Takada K. Sexual dimorphism in the facial morphology of adult humans: A three-dimensional analysis. HOMO. 2016;67: 23-49. doi: 10.1016/j.jchb.2015.10.001)
Tanikawa, C (via Mendeley Data)
core   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

open access: yesAdvanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury   +4 more
wiley   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

open access: yesAdvanced 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

Enhancing facial landmark detection with ControlNet-based data augmentation [PDF]

open access: yes
Facial landmark detection plays a pivotal role in various computer vision applications, including face recognition, expression analysis, and augmented reality.
Songsri-in, Kritaphat   +6 more
core   +2 more sources

The first Facial Landmark Tracking in-the-Wild Challenge: benchmark and results [PDF]

open access: yes, 2015
Detection and tracking of faces in image sequences is among the most well studied problems in the intersection of statistical machine learning and computer vision.
Zafeiriou, S   +17 more
core   +1 more source

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

open access: yesAdvanced 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

Facial Landmark-based Approach for Classification of Children’s Facial Expressions and Facial Action Codes [PDF]

open access: yes, 2018
Classification of facial expressions from children is a relatively unexplored area in the literature as few facial expression datasets taken of children exist. To explore and understand the classification of children’s facial expressions, images from the
Witherow, Megan Anita
core  

Face super-resolution via iterative collaboration between multi-attention mechanism and landmark estimation

open access: yesComplex & Intelligent Systems
Face super-resolution technology can significantly enhance the resolution and quality of face images, which is crucial for applications such as surveillance, forensics, and face recognition.
Chang-Teng Shi, Meng-Jun Li, Zhi Yong An
doaj   +1 more source

Interpreting How Neural Networks Infer Scatterer Geometry from Echolocation Echoes

open access: yesAdvanced 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

Home - About - Disclaimer - Privacy