找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Intelligent Robotics and Applications; 16th International C Huayong Yang,Honghai Liu,Zhiyong Wang Conference proceedings 2023 The Editor(s)

[復(fù)制鏈接]
樓主: Prehypertension
41#
發(fā)表于 2025-3-28 16:22:39 | 只看該作者
Design and Control of a Two-Segment Rotatable Wire-Driven Flexible Arm paper, we performed kinematic modeling and control of the manipulator, achieved different trajectory movements, and obtained excellent experimental results of the manipulator‘s performance. This demonstrates the rationality of the manipulator‘s design, and enhances its control performance, providin
42#
發(fā)表于 2025-3-28 21:52:50 | 只看該作者
43#
發(fā)表于 2025-3-29 01:44:02 | 只看該作者
44#
發(fā)表于 2025-3-29 03:13:42 | 只看該作者
45#
發(fā)表于 2025-3-29 07:18:49 | 只看該作者
46#
發(fā)表于 2025-3-29 13:42:47 | 只看該作者
Prior Region Mask R-CNN for Thyroid Nodule Segmentation in Ultrasound Imageso the FPN and based on this performed spatial attention. In addition, a channel attention mechanism has been applied to screen for important features. Furthermore, RPN based on the prior region has also been proposed to reduce interference from surrounding tissues. In this paper, our data set has 15
47#
發(fā)表于 2025-3-29 17:07:22 | 只看該作者
48#
發(fā)表于 2025-3-29 21:10:54 | 只看該作者
A Modified BiSeNet for Spinal Segmentationc residual structure is introduced to enhance the context extractor’s effectiveness. For the spatial path, we introduce a novel multi-scale convolution attention module based on the SegNext structure. These main contributions in our framework improve the segmentation effectiveness by capturing long-
49#
發(fā)表于 2025-3-30 03:58:31 | 只看該作者
Retinal Vascular Segmentation Based on Depth-Separable Convolution and Attention Mechanismsel for the segmentation of the original image is not enough. Therefore, this paper improves the retinal vascular segmentation algorithm based on IPN-V2, introduces the attention mechanism, and constructs a retinal vascular segmentation model based on ASR-IPN-V2, which enables the model to extract mo
50#
發(fā)表于 2025-3-30 07:02:51 | 只看該作者
SW-YOLO: Improved YOLOv5s Algorithm for Blood Cell Detection detection algorithms such as Faster-RCNN, YOLOv4 and YOLOv5s, SW-YOLO improves to 99.5%, 95.3% and 93.3% mAP on the blood cell dataset BCCD for white blood cells, red blood cells and platelets respectively. The experimental results are eximious and the algorithm is highly practical for blood cell d
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-23 14:11
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
长顺县| 桐梓县| 长汀县| 禄劝| 宁夏| 阳泉市| 平和县| 永和县| 青冈县| 凉山| 南江县| 来凤县| 辰溪县| 通城县| 沂南县| 方正县| 麟游县| 岑巩县| 南阳市| 邮箱| 临清市| 唐河县| 息烽县| 营山县| 长丰县| 弥勒县| 建湖县| 四会市| 平陆县| 德庆县| 双柏县| 洛隆县| 康乐县| 新晃| 绥化市| 昌邑市| 弥勒县| 长寿区| 四会市| 岳阳市| 察雅县|