Results 121 to 130 of about 16,477 (251)
This study proposes a robust, generalizable new approach for facial type diagnosis. Based on landmark detection and pose normalization, a 94.7% diagnostic accuracy is achieved by Combined Heatmap Regression and Coordinate Regression network. This research makes the AI‐generated preliminary diagnosis more interpretable and reducing the impact of ...
Qianyang Xie +12 more
wiley +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
Robotic-integrated intraoperative ultrasound for excision of accessory cavitated uterine malformation (ACUM): an innovative surgical technique. [PDF]
Thippeswamy SP +5 more
europepmc +1 more source
Real-time Road Anomaly Detection using Advanced Sensor Networks
Abstract Real-time road anomaly detection is a critical aspect of modern urban transportation systems, aiming to enhance road safety and traffic management. In this paper, we propose an innovative methodology that integrates advanced sensor networks and machine learning algorithms to achieve accurate and efficient anomaly detection.
Ali Rahmani +3 more
openaire +1 more source
We address multilayer PCB anomaly detection for smart manufacturing by physical reservoir computing with HfO2‐based memristors. Crystallinity‐tuned HfO2 suppresses ferroelectricity while preserving the high‐k insulating state and confers strong short‐term memory.
Yongho Lee +7 more
wiley +1 more source
SIFT-SNN for Traffic-Flow Infrastructure Safety: A Real-Time Context-Aware Anomaly Detection Framework. [PDF]
Rathee M, Bačić B, Doborjeh M.
europepmc +1 more source
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
Anatomical Variant or Pathological Anomaly? A Case Report of an Asymptomatic Cardiac Apical Cleft. [PDF]
Posite CM +8 more
europepmc +1 more source
Multi-stage classification of abnormal traffic events using a multi-head + LSTM. [PDF]
Jadhav P +3 more
europepmc +1 more source
A lightweight transformer framework for open set anomaly segmentation in smart city applications. [PDF]
Prabha MM, Suganthi K.
europepmc +1 more source

