Results 121 to 130 of about 17,375 (236)

Deep learning meets clinical practice: A You Only Look Once-based framework for accurate and real-time detection of carotid vulnerable plaques. [PDF]

J Int Med Res
Zhang H, Zhao F.
europepmc   +1 more source

Segmentation and Classification of Welding Beads on Shear Reinforcement With Dual Anchorage Using Deep Learning Models

Engineering Reports, Volume 8, Issue 3, March 2026.
This research develops a deep learning model for the automated segmentation and quality classification of welding beads on shear reinforcements with dual anchorage, enhancing inspection reliability and efficiency in construction ABSTRACT Automated visual inspection in industrial manufacturing requires robust and efficient instance segmentation systems ...
John Mlyahilu, Jongnam Kim
wiley   +1 more source

FID-YOLO: A pedestrian detection model integrating multispectral information in complex environments. [PDF]

PLoS One
Yang D, Zhang X, Wang P.
europepmc   +1 more source

Real‐Time Vision System for Estimating Magnetic Compass Needle Oscillation Using Deep Learning

Engineering Reports, Volume 8, Issue 3, March 2026.
This study presents a low‐cost, vision‐based system for measuring compass needle oscillation. The system uses YOLO11s to detect the needle's pivot and tip in real time. Angle‐time data is tracked and fitted to extract oscillation parameters. The method is fast, accurate, and suitable for embedded navigation systems. ABSTRACT Compass needle oscillations
Xuan‐Thuan Nguyen, Hong‐Hai Hoang, Thanh‐Hung Nguyen   +2 more
wiley   +1 more source

Application of Artificial Intelligence in Detecting Dental Anomalies: Current Models, Imaging Modalities, and Future Directions

Health Science Reports, Volume 9, Issue 3, March 2026.
ABSTRACT Background and Aim As dental anomalies can significantly affect esthetic and function, early detection and diagnosis are crucial for treatment and minimizing potential negative effects. Artificial intelligence (AI) has emerged as a promising tool for the segmentation and detection of dental anomalies in number, morphology, size, position, and ...
Mobina Sadat Zarabadi, Zeynab Pirayesh, Shaghayegh Najary, Alireza Jafarzade Ghadimi, Mohammad Behnaz   +4 more
wiley   +1 more source

Detection of bumblebee behaviour around a nest box using AI-based image analysis. [PDF]

MethodsX
Ohyama K, Naito H, Hirai N.
europepmc   +1 more source

Using Convolutional Neural Networks for the Classification of Suboptimal Chest Radiographs

Journal of Medical Radiation Sciences, Volume 73, Issue 1, Page 60-68, March 2026.
This study evaluated DenseNet121 and YOLOv8 neural networks in detecting suboptimal chest x‐rays for quality control. Through training, validation, and testing, both AI models effectively classified chest X‐ray quality, highlighting the potential to provide radiographers with feedback to enhance image quality.
Emily Huanke Liu, Daniel Carrion, Mohamed Khaldoun Badawy   +2 more
wiley   +1 more source

3D imaging‐based AI models outperform demographic models and excel in tibial sizing compared with 2D models in total knee arthroplasty planning: A systematic review

Knee Surgery, Sports Traumatology, Arthroscopy, Volume 34, Issue 3, Page 1157-1169, March 2026.
Abstract Purpose Accurate preoperative implant sizing is a critical component of successful total knee arthroplasty (TKA). Artificial intelligence (AI) has emerged as a promising tool for enhancing preoperative planning. This is achieved through predictive modelling based on different input modalities, including computed tomography (CT), plain ...
Randa Elsheikh, Zainab Aqeel Khan, George Mihai Avram, Rolf Huegli, Andrej M. Nowakowski, Michael T. Hirschmann   +5 more
wiley   +1 more source

SFD-YOLO for small-object fragment impact detection in warhead target-plate testing. [PDF]

Sci Rep
Liu H, Ding Y, You W, Li Y.
europepmc   +1 more source

Prioritized Real‐Time UAV‐Based Vessel Detection for Efficient Maritime Search

Journal of Field Robotics, Volume 43, Issue 2, Page 561-577, March 2026.
ABSTRACT Real‐time vessel detection in maritime environments is crucial for diverse applications requiring speed and accuracy. Static camera views often introduce blind spots, compromising detection efficiency. This paper proposes a novel, real‐time UAV‐based system that uses a dynamic camera control strategy to address this limitation.
Lyes Saad Saoud, Zikai Jia, Siyuan Yang, Muhayy Ud Din, Lakmal Seneviratne, Shaoming He, Irfan Hussain   +6 more
wiley   +1 more source