標題: Titlebook: Artificial Intelligence and Robotics; 8th International Sy Huimin Lu,Jintong Cai Conference proceedings 2024 The Editor(s) (if applicable) [打印本頁] 作者: GALL 時間: 2025-3-21 16:38
書目名稱Artificial Intelligence and Robotics影響因子(影響力)
書目名稱Artificial Intelligence and Robotics影響因子(影響力)學(xué)科排名
書目名稱Artificial Intelligence and Robotics網(wǎng)絡(luò)公開度
書目名稱Artificial Intelligence and Robotics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Artificial Intelligence and Robotics被引頻次
書目名稱Artificial Intelligence and Robotics被引頻次學(xué)科排名
書目名稱Artificial Intelligence and Robotics年度引用
書目名稱Artificial Intelligence and Robotics年度引用學(xué)科排名
書目名稱Artificial Intelligence and Robotics讀者反饋
書目名稱Artificial Intelligence and Robotics讀者反饋學(xué)科排名
作者: Agnosia 時間: 2025-3-21 23:46 作者: MOCK 時間: 2025-3-22 03:02 作者: 后退 時間: 2025-3-22 05:59
Classification and Application of Element,rk to acquire efficient anemometer state estimation. This method can monitor the abnormal state of the anemometer and reconstruct the faulty wind speed data. Finally, to demonstrate the efficiency of the approach, the condition of the WT anemometer is predicted using examples.作者: amnesia 時間: 2025-3-22 10:21
Die verschiedenen Anwendungsgebiete der FEM,e the influence of class division by calculating the average distance under various windows and measure the efficiency of window position for class division using information gain. Finally, transform the series according to the information gain. The research shows that the proposed DDTM method achieves superior classification results.作者: 不真 時間: 2025-3-22 15:27
FEM-Formelsammlung Statik und Dynamikimulates certificate photo files. We then used a YOLOv5-based object detection network to train a model that can detect document photos in archive images. We also used a combination of PP-OCR text recognition and object detection to extract key information from document images.作者: 魅力 時間: 2025-3-22 20:15 作者: Frequency 時間: 2025-3-22 21:52
https://doi.org/10.1007/978-3-642-79383-7hold objects. As a result, we achieved an approximately 7.2% improvement in accuracy compared to GR-Convnet. Additionally, using a real robot, we demonstrated a grasp success rate of 93.3% and 92.5% for household and adversarial objects, respectively.作者: stratum-corneum 時間: 2025-3-23 03:42
,Enhanced Object Detection of?Abnormal Light Based on?Multi-scale Retinex with?Chromacity Preservatiin order to recover lost information. Our method was evaluated on the publicly available BDD 100k dataset, and the results showed a significant improvement in performance under abnormal lighting conditions, Compared to images without any processing, Yolo-v3 model improve 9.59. total mAP@[.5, .95], and Yolo-v4 model improves 10.86..作者: Herpetologist 時間: 2025-3-23 06:57 作者: 鋪子 時間: 2025-3-23 13:45
Condition Monitoring of Wind Turbine Anemometers Based on Combined Model Deep Learning,rk to acquire efficient anemometer state estimation. This method can monitor the abnormal state of the anemometer and reconstruct the faulty wind speed data. Finally, to demonstrate the efficiency of the approach, the condition of the WT anemometer is predicted using examples.作者: 魔鬼在游行 時間: 2025-3-23 17:54
DDTM: A Distance-Based Data Transformation Method for Time Series Classification,e the influence of class division by calculating the average distance under various windows and measure the efficiency of window position for class division using information gain. Finally, transform the series according to the information gain. The research shows that the proposed DDTM method achieves superior classification results.作者: Indent 時間: 2025-3-23 19:39
Human Related Information Extraction from Chinese Archive Images,imulates certificate photo files. We then used a YOLOv5-based object detection network to train a model that can detect document photos in archive images. We also used a combination of PP-OCR text recognition and object detection to extract key information from document images.作者: Breach 時間: 2025-3-23 22:55 作者: Synovial-Fluid 時間: 2025-3-24 03:42
Improved GR-Convnet for Antipodal Robotic Grasping,hold objects. As a result, we achieved an approximately 7.2% improvement in accuracy compared to GR-Convnet. Additionally, using a real robot, we demonstrated a grasp success rate of 93.3% and 92.5% for household and adversarial objects, respectively.作者: Default 時間: 2025-3-24 09:39 作者: Blazon 時間: 2025-3-24 14:29 作者: Conflict 時間: 2025-3-24 15:49 作者: 仔細閱讀 時間: 2025-3-24 21:39 作者: Presbycusis 時間: 2025-3-24 23:55
https://doi.org/10.1007/978-3-642-56224-2tation. The FDM is also presented to adjust the local contour for interactive segmentation. Our experimental results show that the proposed method outperforms the state-of-the-art segmentation methods on the PROMISE12 and our in-house nasopharyngeal carcinoma (NPC) datasets.作者: allergen 時間: 2025-3-25 06:49 作者: Pander 時間: 2025-3-25 10:58
Weitere M?glichkeiten — Ausblickd Network (OSAPN). The experimental results show that our method can predict the comments, which are more closely aligned to aesthetic topics than those produced by the previous models. Through the evaluation criteria of image captioning, the specially designed model outperforms other methods.作者: 悶熱 時間: 2025-3-25 12:18 作者: critic 時間: 2025-3-25 17:39 作者: 高度 時間: 2025-3-25 22:46 作者: Abrade 時間: 2025-3-26 02:52
,Two Stream Multi-Attention Graph Convolutional Network for?Skeleton-Based Action Recognition,ich are proposed to enhance the spatio-temporal expression ability of the model. On cross-subject benchmark and cross-view benchmark of NTU-RGB+D datasets, the proposed model achieves 88.60% and 97.16% accuracy respectively, and 35.62% accuracy on the Kinetics dataset. On both datasets, our method outperforms state-of-the-art methods.作者: Tempor 時間: 2025-3-26 08:16
,Aesthetic Multi-attributes Captioning Network for?Photos,d Network (OSAPN). The experimental results show that our method can predict the comments, which are more closely aligned to aesthetic topics than those produced by the previous models. Through the evaluation criteria of image captioning, the specially designed model outperforms other methods.作者: Allodynia 時間: 2025-3-26 11:08
Improving Road Extraction in Hyperspectral Data with Deep Learning Models,osed method improves the average per-class accuracy by more than 18% over the traditional methods, demonstrating its potential to optimize road extraction from hyperspectral data. Further research can focus on improving the accuracy and efficiency of road network extraction from hyperspectral data.作者: Communicate 時間: 2025-3-26 15:18 作者: choroid 時間: 2025-3-26 16:53 作者: 無法治愈 時間: 2025-3-27 00:37 作者: 土坯 時間: 2025-3-27 01:14 作者: Arthr- 時間: 2025-3-27 08:39
,Single-Image 3D Human Pose and?Shape Estimation Enhanced by?Clothed 3D Human Reconstruction, estimation aims to estimate the 3D poses and body shapes of “naked” humans under clothes, while clothed 3D human reconstruction refers to reconstructing the surfaces of humans wearing clothes. These two topics are closely related, but researchers usually study them separately. In this paper, we enh作者: 縱火 時間: 2025-3-27 13:17
IoT Botnet Attacks Detection and Classification Based on Ensemble Learning,and detection has become more difficult. This paper proposes an IoT botnet attack detection model based on feature selection and ensemble learning. Specifically, the model first reduces the feature dimension of the data by selecting appropriate feature sets. Then, an optimized LightGBM classifier an作者: Interferons 時間: 2025-3-27 17:17 作者: 水槽 時間: 2025-3-27 19:32
Teacher Classroom Behavior Detection Based on a Human Pose Estimation Algorithm,ding measures to help. Traditional evaluation methods rely on manual testing, which is time-consuming and lacks objectivity. This article suggests a new approach to analyze the behavior of teachers by using the human skeleton posture. This method first uses the popular human posture gesture estimati作者: EXTOL 時間: 2025-3-27 22:28 作者: Scintigraphy 時間: 2025-3-28 05:52
,C2FC: Coarse-to-fine Contour-Based Method for?Interactive Medical Image Segmentation,ape error between the initial contour and the ground truth. The details of the contour are focused on too early, which can easily lead to unsatisfactory segmentation quality. To address this problem, we propose a coarse-to-fine contour-based method for interactive medical image segmentation. This me作者: 郊外 時間: 2025-3-28 07:29
DDTM: A Distance-Based Data Transformation Method for Time Series Classification,mproved by removing interference variables. DDTM is proposed, which investigates the changes in the distance between the category and the subsequence on time series to determine if the subsequence influences the determination of the category. The main idea consists of three steps. First, propose a w作者: 滑動 時間: 2025-3-28 11:47 作者: MOAN 時間: 2025-3-28 17:33 作者: 粘 時間: 2025-3-28 22:06
Improving Road Extraction in Hyperspectral Data with Deep Learning Models,clusion, changing lighting conditions, and blur. To address this issue, this paper proposes a new model that combines the advantages of U-net and Transformer architectures. This hybrid model effectively captures both local and long-range features, thus improving the accuracy and efficiency of road e作者: Hectic 時間: 2025-3-29 02:52
Human Related Information Extraction from Chinese Archive Images,racting and managing image content from archives is still in its early stages, and is primarily focused on recognizing fixed-format archive images. As a result, there is a lack of technology for extracting key personal information applicable to all types of archive images. To address this, we have i作者: 刺激 時間: 2025-3-29 05:00
Multi-virtual View Scoring Network for 3D Hand Pose Estimation from a Single Depth Image,al view depth images. By projecting a single depth image through point cloud transformation and using the depth images of multiple virtual views together for hand pose estimation, these methods can effectively improve the estimation accuracy. However, current methods have issues with distorted gener作者: sundowning 時間: 2025-3-29 07:19
Digital Archive Stamp Detection and Extraction, water, fire, and mold, making long-term storage difficult. To address this issue, digital archives have been established for management. As a result, effective storage, detection, extraction, and utilization of archive information has become a focus of attention. This paper focuses on the feature e作者: Sciatica 時間: 2025-3-29 12:29 作者: 輕彈 時間: 2025-3-29 17:14 作者: 偽證 時間: 2025-3-29 20:21
Improved GR-Convnet for Antipodal Robotic Grasping,level approach of GR-Convnet for the task and propose a neural network with high robustness while maintaining real-time performance. The three improvements include introducing Squeeze and Excitation (SE) blocks, removing Dropout in the final layer, and using Residual Block and Concurrent Spatial and作者: 勉強 時間: 2025-3-30 00:32
CS-Net: A Stain Style Transfer Network for Histology Images with CS-Gate Attention,thods on the synthesized IHC-stained images to obtain the final binary mask of the OPC epithelium. The experimental results show that CS-Net can synthesize more stable images with a higher degree of restoration than the GAN-like networks, and the accuracy of the final obtained mask is also better th作者: 共同確定為確 時間: 2025-3-30 06:55 作者: LATHE 時間: 2025-3-30 11:19 作者: 恫嚇 時間: 2025-3-30 15:40 作者: 阻礙 時間: 2025-3-30 18:09
Digital Archive Stamp Detection and Extraction,ep learning models being unable to recognize text due to the bending and tilting of the ring-shaped text in the stamp. Overall, this research aims to enhance the preservation and utilization of archival materials by improving feature extraction and text recognition methods.作者: Hippocampus 時間: 2025-3-30 21:51 作者: 頂點 時間: 2025-3-31 01:07
FEM bei elektrischen Antrieben 1thods on the synthesized IHC-stained images to obtain the final binary mask of the OPC epithelium. The experimental results show that CS-Net can synthesize more stable images with a higher degree of restoration than the GAN-like networks, and the accuracy of the final obtained mask is also better th作者: byline 時間: 2025-3-31 07:38
Berechnung eines Dreiphasentransformators,gressor. In the clothed human reconstruction module, two clothed human surface models are respectively reconstructed under the guidance of the recovered 3D body mesh and the ground-truth 3D body mesh. At the training phase, losses which are described by the residuals among the two reconstructed clot作者: Obligatory 時間: 2025-3-31 09:28 作者: 發(fā)生 時間: 2025-3-31 16:47
https://doi.org/10.1007/978-3-8348-9922-4ses a feature map offset loss function and enhance information interaction between channels in the backbone network. The virtual view feature encoding module adopts a two-branch structure to capture information about all joints and single joints from the intermediate feature map, respectively. This 作者: coalition 時間: 2025-3-31 17:34 作者: ANIM 時間: 2025-4-1 00:09 作者: 不能妥協(xié) 時間: 2025-4-1 04:13 作者: 本能 時間: 2025-4-1 08:35
FEM bei elektrischen Antrieben 1 paper puts forward a novel T-spline surface fairing algorithm based on centripetal re-parameterization which can improve the knot distribution of T-mesh. Some numerical examples are given to verify the effectiveness and practicability of the algorithm. The Gaussian and Mean curvature graphs show th
