Deep learning creates virtual multiplexed immunostaining to improve cancer diagnosis

Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...

3d Images Of Humans

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A zero-shot learning framework for maize cob phenotyping

A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...
Frontiers

Enhancing credit card fraud detection using traditional and deep learning models with class imbalance mitigation

1 Department of Computer Science, College of Computing and Information Technology, Shaqra University, Shaqra, Saudi Arabia 2 InnoV'COM Laboratory-Sup'Com, University of Carthage, Ariana, Tunisia ...
IEEE

Object Detection With Deep Learning: A Review

Abstract: Due to object detection's close relationship with video analysis and image understanding, it has attracted much research attention in recent years. Traditional object detection methods are ...
Scientific Research Publishing

Risk-Aware AI Models for Financial Fraud Detection: Scalable Inference from Big Transactional Data ()

1 Independent Researcher, Atlanta, GA, USA. 2 Alumni, Nanyang Technological University, Singapore City, Singapore. As digital financial ecosystems expand in scale, complexity, and global reach, ...
IEEE

A Deep Learning-Based Method for Object Workpiece Recognition and Grasp Detection

Abstract: Accurate and stable target detection is crucial for robotic grasping tasks under uneven lighting conditions. To address this, this paper proposes a target object detection network (YOLO-Net) ...
Frontiers

Deep learning-based object detection for environmental monitoring using big data

Introduction: Recent advances in artificial intelligence have transformed the way we analyze complex environmental data. However, high-dimensionality, spatiotemporal variability, and heterogeneous ...
Tech Xplore on MSN

Image-based model enhances the detection of surface defects in low-light industrial settings

In industry, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality and safety. However, conventional methods rely on heavy computational ...