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Characterizing the landscape of gene process dependencies in cancer

Precision oncology aims to tailor cancer treatment to tumor genetics but it currently benefits only a small fraction of patients, in part because the primary focus is to match drug targets to single genes. The Cancer Dependency Map Project (DepMap) aimed to characterize the landscape of single-gene dependencies, which increased the universe of potential drug targets. However, the common challenges...

FuDU: A Fuzzy Dual-dimensional Uncertainty Framework for Streaming Active Learning in Industrial Defect Detection

Ensuring the reliability of deep learning models in real-time industrial defect detection is critical for high-stakes quality inspection. To mine uncertain samples within continuous industrial media streams, thereby enhancing the reliability of the detection system, this paper proposes a streaming active learning method based on the Fuzzy Dual-dimensional Uncertainty (FuDU) framework. Specifically...

Sep 2 2026 2609.02212v1
SePArate: Segmenting Patterns from Defects in Wafer Manufacturing Using Weak Supervision

In semiconductor manufacturing, defect analysis is essential, but manual inspection cannot scale. However, existing automated inspection methods remai...

Aug 31 2026 2608.30410v1
Multi-View Reflective Surface Inspection via Semantic-Saliency Cross-Verification

Reflective smartphone cover glass is challenging to inspect from a single fixed viewpoint because defect visibility varies with viewing geometry and s...

Aug 31 2026 2608.30997v1
InspectorGPT: A Comparative Reasoning Enhanced VLM for Comprehensive Industrial Anomaly Detection

Industrial anomaly detection is a critical component of modern manufacturing. Most traditional unsupervised methods rely on modelling normal feature d...

Aug 30 2026 2608.29783v1
CF-YOLO: Context-Aware Feature Refinement for Camouflaged Industrial Micro-Defect Detection

Automated detection of surface micro-defects on industrial components, such as copper tubes, is critically important for quality assurance but remains...

Aug 28 2026 2608.28070v1
Molecular Determinants of Functional Bacterial sRNA-mRNA Interactions Revealed by Integrating RNA Interactomes and Interpretable Machine Learning

Bacterial small RNAs (sRNAs) regulate gene expression by base pairing with target mRNAs, yet transcriptome-wide interactome mapping has shown that man...

Automatic weld seam segmentation for industrial quality control: a comparison of RGB and polarimetric imaging with CNN and transformer architectures

Visual inspection of welded assemblies remains one of the least automated stages in many industrial production processes, still depending largely on t...

Aug 26 2026 2608.25465v1
Lowering the Barrier to AI-Driven Inspection: A No-Code Workflow for Automated Structural Defect Detection

Structural health monitoring (SHM) is essential in modern engineering, providing data for condition-based maintenance, lifecycle assessment, and predi...

Aug 25 2026 2608.25176v1
High-Throughput Observational Evidence Generation Using Linked Electronic Health Record and Claims Data

Background: Many of the most consequential treatment decisions concern patients and comparisons that randomized trials never address: off-label and he...

Quality Inspection of Printed Circuit Board Pin Insertion via Semantic Segmentation and Board-Level Feature Extraction

Quality control during printed circuit board (PCB) assembly is a critical step in ensuring reliable electronic products. Detecting misaligned pins dur...

Aug 24 2026 2608.22937v1
Bridge Damage Detection from Low-Light UAV Imagery via Degradation-Aware Mixture-of-Experts Enhancement

Poor illumination obscures small, low-contrast defects in UAV bridge imagery, reducing the reliability and operational flexibility of automated inspec...

Aug 24 2026 2608.23136v1
An end-to-end-trained vision-language model for native-language prostate pathology report generation

Prostate cancer is among the most frequently diagnosed malignancies worldwide, and structured reporting of each biopsy core burdens pathologists. Exis...

Aug 24 2026 2608.23143v1
Implementation of a clinical decision support tool for acute diarrhea management in Tanzania and the United States: A Qualitative study using the Consolidated Framework for Implementation Research

Background: In two large studies conducted in Bangladesh, our recently developed artificial intelligence (AI)-based models for assessing dehydration s...

RegFM: an interpretable context-aware foundation model for human transcriptional regulation

Transcriptional regulation is governed by interactions between cis-regulatory elements (CREs) and trans-acting regulators in a context-specific manner...

Image-Guided Pavement Defect Recognition in GPR Data with novel 3D Deep Learning Architecture

Ground Penetrating Radar (GPR) is a widely adopted non-destructive sensing technology for subsurface inspection in civil and transportation engineerin...

Aug 19 2026 2608.19177v1
Evaluation of AI-based Visual Crack Detection in Steel Bridges Using Probability of Detection

Bridge structures are regularly inspected for structural damage such as cracks and corrosion in order to ensure public safety and reduce maintenance c...

Aug 18 2026 2608.17726v1
GS$^{2}$CI: Robust Gaussian Splatting For Snapshot Compressive Imaging via Large Vision Model Priors

Snapshot Compressive Imaging (SCI) offers an efficient solution for high-speed video acquisition and, under exposure-time camera--scene relative motio...

Aug 13 2026 2608.13502v1
Nup153 regulates neuronal responsiveness through HDAC1-mediated epigenetic modulation

Neural activity-dependent gene regulation is central to the development of neural networks and neuronal plasticity. Induction of activity-dependent ge...

Advancing Utility Pole and Sign Detection Through Deep Learning

Utility poles are an essential part of the infrastructure used to support power distribution systems and other critical public services. Their regular...

Aug 4 2026 2608.04061v1
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