Explore how artificial intelligence and digital innovations are transforming sludge dewatering in wastewater systems, ...

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...

Groundwater quality in Kasganj is critically compromised. This study uses advanced machine learning to predict contamination ...

Overview Kaggle projects provide real-world experience in AI and machine learning.Participants gain practical skills in NLP, computer vision, and predictive mod ...

Artificial intelligence (AI) systems can be fooled by certain image inputs. Called adversarial examples, they incorporate ...

Explainable AI was particularly valuable in validating the predictions. The Grad-CAM and Class Activation Mapping methods ...

Many modern artificial intelligence (AI) applications, such as surgical robotics and real-time financial trading, depend on ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ('HOLO” or the 'Company'), a technology service provider, proposed a Quantum Convolutional Neural Network (QCNN) based on hybrid quantum-classical learning and ...

1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...

Background: Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging ...

This repository contains the full codebase developed at Helmholtz Munich for the CytoDiff project. The goal is to improve white blood cell image classification by augmenting real-world datasets with ...