TMCnet

Digital Pathology Market Size to Surpass USD 6.55 Billion by 2035, Rising at a CAGR of 17.15% | Report by Vantage Market Research

The Global Digital Pathology Market is projected to grow from USD 1.15 billion in 2024 to USD 6.55 billion by 2035, ...
Devdiscourse

AI-powered surveillance may be Africa’s new weapon against malaria resurgence

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

What Is Cisco’s Deep Network Model, and What Does It Mean for Business Workflows?

Doug Bonderud is an award-winning writer capable of bridging the gap between complex and conversational across technology, innovation and the human condition. As artificial intelligence becomes ...
C&EN

Deep Learning-Based Shape Classification for Hyperspectral-Imaged Microplastics

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
IEEE

Deep Learning-Based Multiclass Attacks Detection and Classification in Automatic Generation Control

Abstract: This research employs the ResNet-50 deep learning model to accurately detect and classify four types of false data injection (FDI) attacks (pulse, random, ramp, and scaling) in the automatic ...
Scientific Research Publishing

BCN-YOLO: A Deep Learning Network for PCB Defect Detection ()

To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed. Firstly, the ...
IEEE

Time Series-Based Fault Detection and Classification in IEEE 9-Bus Transmission Lines Using Deep Learning

Abstract: Transmission line faults present a significant threat to the stability of power systems, potentially causing widespread outages. Timely detection of these faults is essential to prevent ...
Frontiers

Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
Frontiers

Interpretable deep learning for gastric cancer detection: a fusion of AI architectures and explainability analysis

Introduction: The rise in cases of Gastric Cancer has increased in recent times and demands accurate and timely detection to improve patients' well-being. The traditional cancer detection techniques ...