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標(biāo)題: Titlebook: Cognitive Computation and Systems; First International Fuchun Sun,Jianmin Li,Zhongyi Chu Conference proceedings 2023 The Editor(s) (if app [打印本頁]

作者: 無法仿效    時間: 2025-3-21 17:07
書目名稱Cognitive Computation and Systems影響因子(影響力)




書目名稱Cognitive Computation and Systems影響因子(影響力)學(xué)科排名




書目名稱Cognitive Computation and Systems網(wǎng)絡(luò)公開度




書目名稱Cognitive Computation and Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Cognitive Computation and Systems被引頻次




書目名稱Cognitive Computation and Systems被引頻次學(xué)科排名




書目名稱Cognitive Computation and Systems年度引用




書目名稱Cognitive Computation and Systems年度引用學(xué)科排名




書目名稱Cognitive Computation and Systems讀者反饋




書目名稱Cognitive Computation and Systems讀者反饋學(xué)科排名





作者: painkillers    時間: 2025-3-21 21:19

作者: Infect    時間: 2025-3-22 02:15
A Novel Autoencoder for?Task-Driven Object Segmentationds can only recognize and segment one class of objects, but cannot segment the other classes of objects in the same image. To address this issue, this paper proposes a novel autoencoder to perform task-driven object segmentation, in which a control signal is added to the decoder to determine which c
作者: 玩忽職守    時間: 2025-3-22 06:35
Feedback Attention-Augmented Bilateral Network for?Amodal Instance Segmentationarts of each object instance. Many modern computer vision methods demonstrate excellent performance by using the mechanism of looking and thinking twice and the attention mechanism. In this paper, we propose a feedback attention-augmented bilateral network. Specifically, after the convolutional netw
作者: NOT    時間: 2025-3-22 11:23

作者: 發(fā)源    時間: 2025-3-22 16:11
PointNetX: Part Segmentation Based on PointNet Promotionet, a pioneer in point cloud processing, uses max pooling to address the disorder of point clouds. However, PointNet‘s method of mapping points to high-dimensional space, and then obtaining global features through maximum pooling still leads to a large loss of feature information. To this end, we su
作者: 發(fā)源    時間: 2025-3-22 20:54

作者: Platelet    時間: 2025-3-22 21:36

作者: insolence    時間: 2025-3-23 04:23
Shape and?Pose Reconstruction of?Robotic In-Hand Objects from?a?Single Depth Cameraritically important for robotic in-hand manipulation. However, in-hand objects have self-occlusion, making it challenging to perceive their complete shape and posture. To address this challenge, this work proposed a point-clouds processing framework to achieve shape completion and pose estimation of
作者: 蒸發(fā)    時間: 2025-3-23 09:31
“Gongzhu” Strategy Based on Convolutional Neural Networkd-showing and card-playing. The behavior of card-showing determines the strategy of card-playing, and the whole game process is highly reversible. This paper proposes a deep learning-based game algorithm of “Gongzhu”. According to the functional characteristics, the network structure of card-showing
作者: Obstruction    時間: 2025-3-23 12:01
The Survey of Self-play Method in Computer Gamesf reinforcement learning and deep reinforcement learning. DeepMind pioneered the use of deep reinforcement learning and self-play to achieve a breakthrough in the Atari arcade game. Since then, AlphaGo has also reached the level of beating the top human players. AlphaGo Zero quickly surpassed the fo
作者: 不連貫    時間: 2025-3-23 14:28
GK-Means SOM Algorithm Used to Plan the Paths for Multiple Agents Exploring Multiple Target Pointsse a greedy K-means self-organizing map algorithm to balance the tasks and plan the paths for multiple agents exploring multiple target points, where greedy k-means adopts greedy strategy to ensure the tasks allocated for agents tending equally, and the self-organizing map networks are used for para
作者: 小說    時間: 2025-3-23 21:54
Association Analysis of Gene Expression and Brain Image Identifies Gene Signatures in Major Depressi patterns. We extracted threefunctional metrics, including Amplitude of Low Frequency Fluctuation, fractional Amplitude of Low Frequency Fluctuation, Regional Homogeneity from fMRI data, and one structural metrics, grey matter density from MRI data, to explore inter-group differences between MDD pat
作者: Nomogram    時間: 2025-3-23 22:17
Transfer Learning Based Seizure Detection: A Reviewlysis, statistical test, etc., which provides an objective reference for epilepsy diagnosis, treatment and evaluation. Traditional seizure detection is based on the assumption that the training and testing data are equally distributed. However, the characteristics of EEG signals are highly influence
作者: 有機體    時間: 2025-3-24 05:17

作者: Guaff豪情痛飲    時間: 2025-3-24 10:28
Cognitive Computing and Systems Analysis of Alumni Economic Theory and Practice Party of China by reviewing the cognitive computing and system analysis of the latest progress in the establishment of alumni economic theory and its practice. The method is as follows: First, review the historical process that alumni economic theory and practice have gone through, and then, throug
作者: HEAVY    時間: 2025-3-24 12:18
Factor Space: Cognitive Computation and Systems for Generalized Genese formal expression of concept, which is essentially an attempt to construct the mathematical foundation of the three categories of information, intelligence and data science & technology. The method is: first, it is clear that the vector space can only be used for mathematical analysis of quantitat
作者: 出沒    時間: 2025-3-24 16:55
U-YOLO: Improved YOLOv5 for?Small Object Detection on?UAV-Captured Imagesot only improves the detection performance on drone-captured scenarios but also has a real-time detection speed. Compared to baseline model (YOLOv5s), the mAP result of U-YOLO is increased from 19.07 to 24.1%, and the detection speed is 39FPS. It provides a good balance between detection accuracy an
作者: Cytokines    時間: 2025-3-24 21:43

作者: 信任    時間: 2025-3-25 03:14
A Novel Autoencoder for?Task-Driven Object Segmentationask-driven salient object segmentation on a several benchmark datasets, including DUT-OMRON, ECSSD, DUTS-TE, etc. Experimental results show that our approach tends to segment accurate, detailed and complete objects, and improves the performance compared with the previous state-of-the-arts.
作者: 強化    時間: 2025-3-25 05:51
Feedback Attention-Augmented Bilateral Network for?Amodal Instance Segmentationch and the spatial branch. We achieve better results on COCOA dataset and D2SA dataset. For COCOA dataset, our method outperforms different state-of-the-art models by 1.2% and 1.6% mAP under “All regions” and “Things only”, and brings 9.4% improvement on D2SA dataset.
作者: AIL    時間: 2025-3-25 09:14
A Fusion Method for 2D LiDAR and RGB-D Camera Depth Image Without Calibratione dataset: a widely recognized in-doors open robot navigation database. The results show that the proposed method contributes to de-noise of the original data both for 2D LiDAR and RGB-D depth image simultaneously. The proposed method is also validated on the realistic navigation environments, and i
作者: 粘    時間: 2025-3-25 15:00

作者: 周年紀(jì)念日    時間: 2025-3-25 19:34

作者: encyclopedia    時間: 2025-3-25 22:55

作者: 溫室    時間: 2025-3-26 00:35
Cognitive Computing and System Analysis of Seven Times Pass Method Applications and Its Significancehe seven-pass application, and further enrich the teaching and learning practice. The way in which the management practice is active. The significance is that this not only has a positive effect on the teaching, review and examination quality of national education system at all levels, but also has
作者: 農(nóng)學(xué)    時間: 2025-3-26 07:52
Cognitive Computing and Systems Analysis of Alumni Economic Theory and Practiceomic theory and practice. The results are beneficial for the economic practice of domestic and foreign alumni to further rise to the height of theoretical research, and to achieve sufficient interpersonal communication and high interpersonal collaboration. Its significance lies in: Chinese and forei
作者: candle    時間: 2025-3-26 09:57

作者: 飲料    時間: 2025-3-26 12:47

作者: 啞劇    時間: 2025-3-26 18:56
Lecture Notes in Networks and Systemsot only improves the detection performance on drone-captured scenarios but also has a real-time detection speed. Compared to baseline model (YOLOv5s), the mAP result of U-YOLO is increased from 19.07 to 24.1%, and the detection speed is 39FPS. It provides a good balance between detection accuracy an
作者: Humble    時間: 2025-3-26 23:28
Phoo Phoo Thet Lyar Tun,Chaodit Aswakulhile, reduces false detection by adding false detection processing based on relative distance and intersection ratio after model NMS. Finally, the experimental results show that the proposed idea is feasible, the missed detection is significantly reduced, and the comprehensive evaluation index value
作者: 眨眼    時間: 2025-3-27 02:43
https://doi.org/10.1007/978-3-030-64758-2ask-driven salient object segmentation on a several benchmark datasets, including DUT-OMRON, ECSSD, DUTS-TE, etc. Experimental results show that our approach tends to segment accurate, detailed and complete objects, and improves the performance compared with the previous state-of-the-arts.
作者: ventilate    時間: 2025-3-27 06:09
https://doi.org/10.1007/978-3-030-64758-2ch and the spatial branch. We achieve better results on COCOA dataset and D2SA dataset. For COCOA dataset, our method outperforms different state-of-the-art models by 1.2% and 1.6% mAP under “All regions” and “Things only”, and brings 9.4% improvement on D2SA dataset.
作者: 推遲    時間: 2025-3-27 13:12

作者: recede    時間: 2025-3-27 16:40

作者: DEMN    時間: 2025-3-27 21:03
https://doi.org/10.1007/978-94-009-9347-1tion indicator. The experimental results show that the fitting accuracy of card-showing and card-playing networks can reach 88.4% and 71.4% respectively. The agent is able to generate reasonable strategies for card-showing and card-playing.
作者: commensurate    時間: 2025-3-28 00:27

作者: gusher    時間: 2025-3-28 04:14
Physical Problems Discussed Mathematicallyhe seven-pass application, and further enrich the teaching and learning practice. The way in which the management practice is active. The significance is that this not only has a positive effect on the teaching, review and examination quality of national education system at all levels, but also has
作者: 油氈    時間: 2025-3-28 08:20

作者: Conflict    時間: 2025-3-28 11:11
Selected Papers of Frederick Mostellerof the three major categories of science and technology of information, intelligence and data that that is different from material science and technology. The result is the discovery of the mathematics of factor as a meta-word, namely factor space. Its significance lies in: its mission is to provide
作者: ANNUL    時間: 2025-3-28 16:23
Elvira Rodriguez-Rios,Benjamin Garcia-Paez the Angle. On the other hand, we add label smoothing to the loss function, and use Ranger optimizer in training to realize various tasks of point clouds. Experiments show that PointNetX has better performance in part segmentation as well as object classification than PointNet.
作者: wreathe    時間: 2025-3-28 19:35

作者: 腐蝕    時間: 2025-3-28 23:58

作者: Incorporate    時間: 2025-3-29 05:19
Transfer Learning Based Seizure Detection: A Reviewtilizes knowledge of related domains, such as data characteristics, model parameters, etc., to assist learning in new domain. This paper details three main methods to practical application of transfer learning in seizure detection. The future research directions in the field of seizure detection based on transfer learning are also pointed out.
作者: 加花粗鄙人    時間: 2025-3-29 08:40
Conference proceedings 2023Beijing, China, in October 2022..The 31 papers were thoroughly reviewed and selected from the 75 submissions. The papers are organized in topical sections on ?computer vision; decision making and cognitive computation; robot and autonomous vehicle..
作者: 極肥胖    時間: 2025-3-29 14:44

作者: intertwine    時間: 2025-3-29 17:46

作者: Control-Group    時間: 2025-3-29 22:02
Ultrasets and the Paradoxes of Set Theoryrcement learning. Therefore, this paper analyzes the application of self-play and deep reinforcement learning methods applied in computer games, summarizes its research status in the field of complete information games and incomplete information games and pointed out its existing problems and possible development directions.
作者: Immunoglobulin    時間: 2025-3-30 03:28

作者: enfeeble    時間: 2025-3-30 07:50
Enhancement for Low-Contrast Images with Dynamical Saturating Nonlinearity and Adaptive Stochastic Rge enhancement method is tested on low-contrast images in the LOL dataset. By comparing the new model and some other image enhancement algorithms, it demonstrates that the results not only have good visual perception, but also obtain more excellent evaluation indicators value.
作者: Alopecia-Areata    時間: 2025-3-30 12:11

作者: 水汽    時間: 2025-3-30 15:17

作者: B-cell    時間: 2025-3-30 17:47

作者: 把…比做    時間: 2025-3-31 00:28
Lecture Notes in Networks and Systemsificantly, and tiny objects lack distinguishable appearance information in complex backgrounds, which leads to undesired effects. To solve the issue mentioned above, we propose U-YOLO based on the original YOLOv5 model. We first extend the multi-scale feature fusion network and add a detection head
作者: 某人    時間: 2025-3-31 01:46
Phoo Phoo Thet Lyar Tun,Chaodit Aswakulsed on this practical problem, the apple fruit images collected from real orchard is taken as the research object, and an improved yolov5s fruit detection model is proposed based on automatic determination of occlusion information. On one hand, an algorithm for automatic judgment based on fruit occl
作者: 整理    時間: 2025-3-31 07:37

作者: 吸氣    時間: 2025-3-31 12:58
https://doi.org/10.1007/978-3-030-64758-2arts of each object instance. Many modern computer vision methods demonstrate excellent performance by using the mechanism of looking and thinking twice and the attention mechanism. In this paper, we propose a feedback attention-augmented bilateral network. Specifically, after the convolutional netw
作者: 熒光    時間: 2025-3-31 14:00

作者: ASSET    時間: 2025-3-31 18:43
Elvira Rodriguez-Rios,Benjamin Garcia-Paezet, a pioneer in point cloud processing, uses max pooling to address the disorder of point clouds. However, PointNet‘s method of mapping points to high-dimensional space, and then obtaining global features through maximum pooling still leads to a large loss of feature information. To this end, we su
作者: Isolate    時間: 2025-4-1 01:17

作者: Mawkish    時間: 2025-4-1 03:28





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