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Showing 1849-1869 of 5,188 articles
Data-Driven Contact-Aware Control Method for Real-Time Deformable Tool Manipulation: A Case Study in the Environmental Swabbing

Deformable Object Manipulation (DOM) remains a critical challenge in robotics due to the complexit...

PVLens: Enhancing Pharmacovigilance Through Automated Label Extraction

Reliable drug safety reference databases are essential for pharmacovigilance, yet existing resourc...

Vehicular Road Crack Detection with Deep Learning: A New Online Benchmark for Comprehensive Evaluation of Existing Algorithms

In the emerging field of urban digital twins (UDTs), advancing intelligent road inspection (IRI) v...

(1)
Hyperspectral Imaging for Identifying Foreign Objects on Pork Belly

Ensuring food safety and quality is critical in the food processing industry, where the detection ...

(2)
Construction Site Scaffolding Completeness Detection Based on Mask R-CNN and Hough Transform

Construction site scaffolding is essential for many building projects, and ensuring its safety is ...

DefectFill: Realistic Defect Generation with Inpainting Diffusion Model for Visual Inspection

Developing effective visual inspection models remains challenging due to the scarcity of defect da...

On Regulating Downstream AI Developers

Foundation models - models trained on broad data that can be adapted to a wide range of downstream...

TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools

Precision therapeutics require multimodal adaptive models that generate personalized treatment rec...

Fully-Synthetic Training for Visual Quality Inspection in Automotive Production

Visual Quality Inspection plays a crucial role in modern manufacturing environments as it ensures ...

Traffic Regulation-aware Path Planning with Regulation Databases and Vision-Language Models

This paper introduces and tests a framework integrating traffic regulation compliance into automat...

POINT: a web-based platform for pharmacological investigation enhanced by multi-omics networks and knowledge graphs

Network pharmacology (NP) explores pharmacological mechanisms through biological networks. Multi-o...

Generative AI as Digital Media

Generative AI is frequently portrayed as revolutionary or even apocalyptic, prompting calls for no...

Enhancing Thin-Film Wafer Inspection With A Multi-Sensor Array And Robot Constraint Maintenance

Thin-film inspection on large-area substrates in coating manufacture remains a critical parameter ...

ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects

Automatic visual inspection using machine learning-based methods plays a key role in achieving zer...

AI-Driven Multi-Stage Computer Vision System for Defect Detection in Laser-Engraved Industrial Nameplates

Automated defect detection in industrial manufacturing is essential for maintaining product qualit...

Multimodal AI predicts clinical outcomes of drug combinations from preclinical data

Predicting clinical outcomes from preclinical data is essential for identifying safe and effective...

(1)
PathSynergy: a deep learning model for predicting drug synergy in liver cancer.

Cancer is a major public health problem while liver cancer is the main cause of global cancer-relate...

(2)
Mar 2025 40273429
Application of artificial intelligence for nutrient estimation in surface water bodies of basins with intensive agriculture.

Eutrophication is one of the most relevant concerns due to the risk to water supply and food securit...

Mar 2025 39805048
Exploring the dynamics of Lotka-Volterra systems: Efficiency, extinction order, and predictive machine learning.

For years, a main focus of ecological research has been to better understand the complex dynamical i...

(3)
Mar 2025 40030058
The Illusion of Rights based AI Regulation

Whether and how to regulate AI is one of the defining questions of our times - a question that is ...

MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning

Reasoning is a critical frontier for advancing medical image analysis, where transparency and trus...

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