Results 91 to 100 of about 5,835,263 (236)

Design of a Novel Gripping Mechanism and Dual Manipulator Robotic System for Apple Harvesting Using Tractor

Journal of Field Robotics, EarlyView.
ABSTRACT The architecture of apple orchards can be converted to easier operation by implementing the use of a low‐cost, tractor‐mounted, dual manipulator based on a robotic harvesting system with lower degrees of freedom (DoF). To accurately avoid injuries by detecting apples, an efferent, real‐time vision system that includes a new gripping mechanism ...
R. M. Rasika D. Abeyrathna, Victor Massaki Nakaguchi, Zifu Liu, Tofael Ahamed   +3 more
wiley   +1 more source

Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao, Bangzhang Ma, Dianhan Xi, Jiaqi Wang, Yijia Chen, Yongying Liu, Xinlei Shao, Mowen Zhang, Guocheng Zhang, Jundong Chen, Katsunori Mizuno   +10 more
wiley   +1 more source

Research on the Lightweight Gear Surface Defect Detection Algorithm Based on BN-YOLOv5

Jixie chuandong
A pretty crucial step in the manufacturing of gears is the defect detection on gear surfaces. An algorithmic detection model called BN-YOLOv5 which is based on an improved YOLOv5 is proposed in order to increase the accuracy of gear surface defect ...
Zhao Xiaohui, Zhang Zhijie, Hu Sheng, Huan Kaixuan, Liu Lei, Pu Junping   +5 more
doaj  

ATM-Net: A Lightweight Multimodal Fusion Network for Real-Time UAV-Based Object Detection

Drones
UAV-based object detection faces critical challenges including extreme scale variations (targets occupy 0.1–2% image area), bird’s-eye view complexities, and all-weather operational demands.
Jiawei Chen, Junyu Huang, Zuye Zhang, Jinxin Yang, Zhifeng Wu, Renbo Luo   +5 more
doaj   +1 more source

Bidirectional A*: comparing balanced and symmetric heuristic methods [PDF]

A widely known algorithm for ¯nding the shortest path in a network is Bidirectional A*. The version of bidirectional A* that is considered the most appropriatehitherto, uses so-called balanced heuristic estimates.
Post, H., Pijls, W.H.L.M.
core  

A Multi‐Sequence Adversarial Fusion U‐Net for Brain Tumor Image Segmentation

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
In the field of brain tumor image segmentation, in order to avoid the impact of insufficient number of training samples, the method of fusing multi‐modal MRI information before segmentation is widely used. However, when fusing different modal features, existing methods only add fixed weights to the features of each modality, resulting in insufficient ...
Jie Wang, Jinglu Hu
wiley   +1 more source

S2DB-mmWave YOLOv8n: Multi-object detection for millimeter-wave radar using YOLOv8n with optimized multi-scale features.

PLoS ONE
Millimeter-wave (mmWave) radar has become an important research direction in the field of object detection because of its characteristics of all-time, low cost, strong privacy and not affected by harsh weather conditions.
Mengqi Yuan, Yajing Yuan, Xiangqun Zhang, Zhenghao Zhu, Chenxi Zhao, Xiangqian Gao, Genyuan Du   +6 more
doaj   +1 more source

YOLO-TumorNet: An innovative model for enhancing brain tumor detection performance

Alexandria Engineering Journal
Brain tumors are high-risk conditions where early detection and precise localization are crucial for improving patient prognosis. However, existing automated detection methods still exhibit limitations in robustness within complex backgrounds, boundary ...
Jian Huang, Wen Ding, Tiancheng Zhong, Gang Yu   +3 more
doaj   +1 more source

In silico prediction of novel effective combinational treatment of chronic pain in individual patients: A joint white paper of the H2020 QSPainRelief consortium

British Journal of Pharmacology, EarlyView.
Abstract Opioids are prescribed widely for chronic pain despite well‐recognised risks and variable long‐term benefit, reflecting the lack of effective alternatives for many patients. Combination therapies offer a promising strategy to enhance efficacy whilst reducing side effects.
André Mouraux, Solenn Gousset, Beltrán Alvarez, Monica Baiula, Wouter Bakker, Andrea Bedini, Monir Bertayli, Divakar Budda, Robert Carr, Elisabetta Cuna, Óscar Díaz, Nina Donner, Jesús Giraldo, Geert‐Jan Groeneveld, Berfin Gülave, David Guydan, Hemme Hijma, Rafael Maldonado, Pedro Renault, Carlos Rinaudo, Jeroen Elaissaiss‐Schaap, Athan Spiros, Sara Stoeber, Petri Takkala, Daan van Valkengoed, Coen van Hasselt, Elizabeth (Liesbeth) CM de Lange   +26 more
wiley   +1 more source

EBS-YOLO: edge-optimized bidirectional spatial feature augmentation for in-field detection of wheat Fusarium head blight epidemics

Plant Methods
Fusarium head blight (FHB), caused by the Fusarium species complex, significantly endangers wheat yield and safety. Accurate and timely assessment of FHB epidemic level in the field is crucial for effective disease management.
Rui Mao, Hongli Yuan, Feilong Li, Ying Shi, Jia Zhou, Xuemei Hu, Xiaoping Hu   +6 more
doaj   +1 more source