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A Novel Approach to Automated 3D Spalling Defects Inspection in Railway Tunnel Linings Using Laser Intensity and Depth Information.

The detection of concrete spalling is critical for tunnel inspectors to assess structural risks and ...

Near-Infrared Artificial Synapses for Artificial Sensory Neuron System.

The computing based on artificial neuron network is expected to break through the von Neumann bottle...

Automated Flood Depth Estimates from Online Traffic Sign Images: Explorations of a Convolutional Neural Network-Based Method.

Flood depth monitoring is crucial for flood warning systems and damage control, especially in the ev...

Machine learning using clinical data at baseline predicts the efficacy of vedolizumab at week 22 in patients with ulcerative colitis.

Predicting the response of patients with ulcerative colitis (UC) to a biologic such as vedolizumab (...

Efficient bipedal locomotion on rough terrain via compliant ankle actuation with energy regulation.

Legged locomotion enables robotic platforms to traverse on rough terrain, which is quite challenging...

Sequence Ontology terminology for gene regulation.

The Sequence Ontology (SO) is a structured, controlled vocabulary that provides terms and definition...

AI Enabled IoRT Framework for Rodent Activity Monitoring in a False Ceiling Environment.

Routine rodent inspection is essential to curbing rat-borne diseases and infrastructure damages with...

Falcon: A False Ceiling Inspection Robot.

Frequent inspections are essential for false ceilings to maintain the service infrastructures, such ...

Towards an Optimal Footprint Based Area Coverage Strategy for a False-Ceiling Inspection Robot.

False-ceiling inspection is a critical factor in pest-control management within a built infrastructu...

Ensuring Adequate Development and Appropriate Use of Artificial Intelligence in Pediatric Medical Imaging.

Of over 100 FDA-cleared artificial intelligence (AI) tools for triage, detection, or diagnosis in me...

Product Inspection Methodology via Deep Learning: An Overview.

In this study, we present a framework for product quality inspection based on deep learning techniqu...

Machine learning to analyze single-case graphs: A comparison to visual inspection.

Behavior analysts commonly use visual inspection to analyze single-case graphs, but studies on its r...

Biological Age Prediction From Wearable Device Movement Data Identifies Nutritional and Pharmacological Interventions for Healthy Aging.

Intervening in aging processes is hypothesized to extend healthy years of life and treat age-related...

SCOUR: a stepwise machine learning framework for predicting metabolite-dependent regulatory interactions.

BACKGROUND: The topology of metabolic networks is both well-studied and remarkably well-conserved ac...

Combining microfluidics with machine learning algorithms for RBC classification in rare hereditary hemolytic anemia.

Combining microfluidics technology with machine learning represents an innovative approach to conduc...

Discovery of novel DGAT1 inhibitors by combination of machine learning methods, pharmacophore model and 3D-QSAR model.

DGAT1 plays a crucial controlling role in triglyceride biosynthetic pathways, which makes it an attr...

Progress, challenges and global approaches to rare diseases.

Rare diseases occur globally at every stage of life. Patients, families and caregivers have many unm...

Analytical Modeling of the Interaction Between Soft Balloon-Like Actuators and Soft Tubular Environment for Gastrointestinal Inspection.

Accessing tubular environment is critical in medicine. For example, gastrointestinal tract related c...

Drug repurposing: Iron in the fire for older drugs.

Repositioning or "repurposing" of existing therapies for indications of alternative disease is an at...

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