Results 21 to 30 of about 13,805 (234)
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source
针对无人机航拍图像目标检测效果差的问题,提出改进的UAVAI-YOLO模型。首先,为使模型获得更加丰富的语义信息,使用改进可变形卷积网络(deformable convolutional networks,DCN)替换原骨干(backbone)网络部分通道到像素(channel-to-pixel,C2f)模块原始卷积。其次,为增加P2特征层而不增加模型参数量,提出Conv_C模块将骨干网络输出通道降维,同时避免通道降维导致的语义信息丢失,使用改进ODConv卷积替换颈部(neck)部分C2f模块原始卷积。
何植仟, 曹立杰
doaj +1 more source
Comparative performance of next-Gen YOLO models for leaf health classification in ornamental species [PDF]
Automated plant disease detection has become an essential application of deep learning, supporting early diagnosis and effective crops and ornamental plant management. Recent advancements in the You Only Look Once (YOLO) family of object detection models
Chowdhuri Swati +4 more
doaj +1 more source
A low‐cost, portable point‐of‐care platform for rapid Mpox detection using loop‐mediated isothermal amplification is reported. The device integrates fluorescence readout and mobile monitoring. A machine‐learning model analyzes temperature data and correlates thermal changes with DNA concentration, enabling sensitive and reliable molecular diagnosis in ...
Nazente Atceken +4 more
wiley +1 more source
Object Detection Based on You Look Only Once Version 8 for Real-Time Applications
This research focus to involves human detection in crowded situations, especially in the lecturer's room. The lecturer's room is very vulnerable because it can be accessed by anyone with only one entry and exit to the lecturer's room, so it would be ...
Gede Agus Santiago +2 more
doaj +1 more source
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai +10 more
wiley +1 more source
Augmentation for Accuracy Improvement of YOLOv8 in Blind Navigation System
This study addresses the critical need for enhanced accuracy in YOLOv8 models designed for visually impaired navigation systems. Existing models often struggle with consistency in object detection and distance estimation under varying environmental ...
Erwin Syahrudin +2 more
doaj +1 more source
Real Time Vessel Detection Model Using Deep Learning Algorithms for Controlling a Barrier System [PDF]
[Abstract]: This study addresses marine pollution caused by debris entering the ocean through rivers. A physical and bubble barrier system has been developed to collect debris, but an effective identification and classification system for incoming ...
Ciriano-Palacios, José M. +4 more
core +1 more source
This paper presents a high‐speed object pose estimation method that deconstructs objects into geometric components. Inspired by human cognitive generalization, it detects these primitives and infers the 6D pose from their stable spatial configuration.
Xuyang Li +6 more
wiley +1 more source
Plant Disease Detection and Classification Using Deep Learning Methods: A Comparison Study
The presence issue of inaccurate plant disease detection persists under real field conditions and most deep learning (DL) techniques still struggle to achieve real-time performance.
Pei-Wern Chin +2 more
doaj +1 more source

