MFI-YOLO: multi-fault insulator detection based on an improved YOLOv8

M He, L Qin, X Deng, K Liu - IEEE Transactions on Power …, 2023 - ieeexplore.ieee.org
Insulators are essential components in power transmission lines. Due to the harsh variations
in bad environments, insulators may experience faults. Detecting these insulator faults …

Multi-Scale RAFT: Combining hierarchical concepts for learning-based optical flow estimation

A Jahedi, L Mehl, M Rivinius… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Many classical and learning-based optical flow methods rely on hierarchical concepts to
improve both accuracy and robustness. However, one of the currently most successful …

[PDF][PDF] 面向电力系统现场作业的安全风险管控智能检测算法

何敏, 秦亮, 赵峰, 余金沄, 刘浩锋, 王秋琳… - 高电压 …, 2023 - cired2022shanghai.org.cn
针对电力现场作业下的安全管控存在场景复杂, 目标多样且部分遮挡而导致智能安全监测困难的
问题, 提出一种基于YOLOv7-Tiny 的改进算法. 首先, 搭建了YOLOv7-Tiny 检测网络 …

Transformer-based Detection of Microorganisms on High-Resolution Petri Dish Images

N Ebert, D Stricker… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Many medical or pharmaceutical processes have strict guidelines regarding continuous
hygiene monitoring. This often involves the labor-intensive task of manually counting …

Detail preserving residual feature pyramid modules for optical flow

L Long, J Lang - Proceedings of the IEEE/CVF Winter …, 2022 - openaccess.thecvf.com
Feature pyramids and iterative refinement have recently led to great progress in optical flow
estimation. However, downsampling in feature pyramids can cause blending of foreground …

[HTML][HTML] Power Transmission Lines Foreign Object Intrusion Detection Method for Drone Aerial Images Based on Improved YOLOv8 Network

H Sun, Q Shen, H Ke, Z Duan, X Tang - Drones, 2024 - mdpi.com
With the continuous growth of electricity demand, the safety and stability of transmission
lines have become increasingly important. To ensure the reliability of power supply, it is …

Machine learning-aided investigation of immiscible droplet impact on liquid pools across varying depths and droplet viscosities

MA Shahdhaar, A Srivastava, A Srivastava - Experiments in Fluids, 2024 - Springer
The interactions of an immiscible droplet impinging on liquid pools bear significant
implications across a wide array of applications, as well as in natural phenomena. In this …

Enhanced Detection of Syringe Defects Based on an Improved YOLOv7-Tiny Deep-Learning Model

W Zhao, L Wang, C Mao… - Journal of Medical …, 2024 - asmedigitalcollection.asme.org
The timely and accurate identification of syringe defects plays a key role in effectively
improving product quality in production lines of syringes. In this article, we collected a …

Machine learning aided investigation of dynamics of immiscible droplet impingement on liquid pools: A study across varying pool depths and droplet viscosities

MA Shahdhaar, A Srivastava, A Srivastava - 2023 - researchsquare.com
The interactions of an immiscible droplet impinging on liquid pools bear significant
implications across a wide array of applications, as well as in natural phenomena. In this …