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Assessing Autonomous Inspection Regimes: Active Versus Passive Satellite Inspection

This paper addresses the problem of satellite inspection, where one or more satellites (inspectors...

Investigating the Security & Privacy Risks from Unsanctioned Technology Use by Educators

Educational technologies are revolutionizing how educational institutions operate. Consequently, i...

Drug-Target Interaction/Affinity Prediction: Deep Learning Models and Advances Review

Drug discovery remains a slow and expensive process that involves many steps, from detecting the t...

Bridge the Gaps between Machine Unlearning and AI Regulation

The "right to be forgotten" and the data privacy laws that encode it have motivated machine unlear...

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Vision-Language In-Context Learning Driven Few-Shot Visual Inspection Model

We propose general visual inspection model using Vision-Language Model~(VLM) with few-shot images ...

Deep Learning in Automated Power Line Inspection: A Review

In recent years, power line maintenance has seen a paradigm shift by moving towards computer visio...

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HODDI: A Dataset of High-Order Drug-Drug Interactions for Computational Pharmacovigilance

Drug-side effect research is vital for understanding adverse reactions arising in complex multi-dr...

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Improved YOLOv5s model for key components detection of power transmission lines

High-voltage transmission lines are located far from the road, resulting in inconvenient inspectio...

EdgeMLOps: Operationalizing ML models with Cumulocity IoT and thin-edge.io for Visual quality Inspection

This paper introduces EdgeMLOps, a framework leveraging Cumulocity IoT and thin-edge.io for deploy...

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Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action

The integration of generative AI (GenAI) and large language models (LLMs) in healthcare presents b...

(2)
Beyond Benchmarks: On The False Promise of AI Regulation

The rapid advancement of artificial intelligence (AI) systems in critical domains like healthcare,...

Visual Localization via Semantic Structures in Autonomous Photovoltaic Power Plant Inspection

Inspection systems utilizing unmanned aerial vehicles (UAVs) equipped with thermal cameras are inc...

Effective Defect Detection Using Instance Segmentation for NDI

Ultrasonic testing is a common Non-Destructive Inspection (NDI) method used in aerospace manufactu...

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FDA Perspective on the Regulation of Artificial Intelligence in Health Care and Biomedicine.

IMPORTANCE: Advances in artificial intelligence (AI) must be matched by efforts to better understand...

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Jan 2025 39405330
Anomaly Detection for Industrial Applications, Its Challenges, Solutions, and Future Directions: A Review

Anomaly detection from images captured using camera sensors is one of the mainstream applications ...

Multi-Modal Attention Networks for Enhanced Segmentation and Depth Estimation of Subsurface Defects in Pulse Thermography

AI-driven pulse thermography (PT) has become a crucial tool in non-destructive testing (NDT), enab...

Sequential PatchCore: Anomaly Detection for Surface Inspection using Synthetic Impurities

The appearance of surface impurities (e.g., water stains, fingerprints, stickers) is an often-ment...

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A Vessel Bifurcation Landmark Pair Dataset for Abdominal CT Deformable Image Registration (DIR) Validation

Deformable image registration (DIR) is an enabling technology in many diagnostic and therapeutic t...

(2)
Integrative machine learning approach for identification of new molecular scaffold and prediction of inhibition responses in cancer cells using multi-omics data.

MDM2 (Mouse Double Minute 2), a fundamental governor of the p53 tumor suppressor pathway, has garner...

(4)
Jan 2025 40251828
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