書目名稱Collaborative Computing: Networking, Applications and Worksharing影響因子(影響力)學科排名
書目名稱Collaborative Computing: Networking, Applications and Worksharing網(wǎng)絡公開度
書目名稱Collaborative Computing: Networking, Applications and Worksharing網(wǎng)絡公開度學科排名
書目名稱Collaborative Computing: Networking, Applications and Worksharing被引頻次
書目名稱Collaborative Computing: Networking, Applications and Worksharing被引頻次學科排名
書目名稱Collaborative Computing: Networking, Applications and Worksharing年度引用
書目名稱Collaborative Computing: Networking, Applications and Worksharing年度引用學科排名
書目名稱Collaborative Computing: Networking, Applications and Worksharing讀者反饋
書目名稱Collaborative Computing: Networking, Applications and Worksharing讀者反饋學科排名
作者: Respond 時間: 2025-3-21 20:54
Homonegativity within Medicine,r SCADA. We urgently need an effective SCADA risk assessment algorithm to quantify the value at risk. However, traditional algorithms have the shortcomings of excessive parsing variables and inefficient sampling. Existing improved algorithms are far from the optimal distribution of the sampling dens作者: 敲竹杠 時間: 2025-3-22 02:57 作者: critique 時間: 2025-3-22 07:24
https://doi.org/10.1007/b136519 of distributed learning framework, enables data providers to train models locally to protect privacy. It solves the problem of privacy leakage of data by enabling multiple parties, each with their training dataset, to share the model instead of exchanging private data with the server side. However,作者: BILL 時間: 2025-3-22 09:24
https://doi.org/10.1007/b136519d, the communication privacy is difficult to be hidden. Existing anonymous systems sacrifice anonymity for efficient communication, or vice versa. In this paper, we present ., an efficient messaging system which leverages a two-layer framework to provide tracking-resistance. The first layer is the .作者: 罵人有污點 時間: 2025-3-22 16:06 作者: 罵人有污點 時間: 2025-3-22 20:41 作者: 鋪子 時間: 2025-3-22 22:36
https://doi.org/10.1007/b136519ting resources on demand. However, security of edge computing service is still a major concern. This paper proposes an edge computing resource allocation mechanism based on dynamic trust. First, security problems due to lack of reliability in the resource allocation process are solved based on the t作者: diathermy 時間: 2025-3-23 04:56 作者: osteocytes 時間: 2025-3-23 05:53
https://doi.org/10.1007/b136519affic. On the contrary, ML-based classifiers introduce adversarial example attacks, which can fool the classifiers into giving wrong outputs with elaborately designed examples. Some adversarial attacks have been proposed to evaluate and improve the robustness of ML-based traffic classifiers. Unfortu作者: Amylase 時間: 2025-3-23 09:49
https://doi.org/10.1057/9781403981035ious sensors. To motivate mobile users participating in sensing tasks, a number of auction mechanisms have been proposed. In our work, we focus on the task allocation problem with multiple constraints for the auction-based crowdsensing system to maximize profit of the central platform, which has bee作者: 鐵塔等 時間: 2025-3-23 15:11
Sheldon Travin M.D.,Barry Protter Ph.D.us individual requirements, such as less user-perceived time and lower energy consumption. In this case, substantial efforts have been paid to task allocation, aiming at enabling lower latency and higher resource utilization. However existing studies on multiple-objectives task allocation algorithms作者: Nonflammable 時間: 2025-3-23 19:29
The Prevalence of Sexual Perversion,cted IoT devices will reach the scale of 14.4 billion globally at the end of 2022. With the rapid and large-scale deployment of such devices, however, some severe security problems and challenges arised as well, especially in the field of IoT device management. Device identification is a prerequisit作者: 怪物 時間: 2025-3-23 23:40
Chinese Sexuality and the Bound Foot,e evaluations of athletes and customers’ attention in retail stores. It is difficult to predict the head orientation from an RGB image by deep learning more accurately. We propose 6DHPENet, a fine-grained 6D head pose estimation network, to estimate the 3D rotations of the head. First, the model ado作者: 隱語 時間: 2025-3-24 03:34 作者: Osteoarthritis 時間: 2025-3-24 07:00
Microspore Derived Embryogenesis,ethod. However, these methods often require predefined depth, difficult to adapt to changes in depth without modification. To solve this problem, this paper proposes a dual-arm cooperative grasping method based on RGB camera, which is suitable for scenes with variable depth, to increase the adaptabi作者: fringe 時間: 2025-3-24 14:10
Sharron FitzGerald,May-Len Skilbreinspection, logistics, express delivery, cleaning and medical disinfection. Since LiDAR is not affected by ambient light and can operate in a dark environment, localization and navigation based on LiDAR point clouds have become one of the basic modules of mobile robots. However, compared with traditi作者: cylinder 時間: 2025-3-24 18:12
https://doi.org/10.1007/978-3-031-24386-8artificial intelligence; communication systems; computer hardware; computer networks; computer science; c作者: 吞噬 時間: 2025-3-24 22:54
978-3-031-24385-1ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2022作者: Saline 時間: 2025-3-24 23:49 作者: orthodox 時間: 2025-3-25 03:36
Conference proceedings 2022and application; Edge Computing and Collaborative working; Blockchain applications; Security and Privacy Protection; Deep Learning and application; Collaborative working; Images processing and recognition..作者: 后來 時間: 2025-3-25 07:45 作者: Bother 時間: 2025-3-25 13:14
Conference proceedings 2022lications and Worksharing, CollaborateCom 2022, held in Hangzhou, China, in October 2022.?.The 57 full papers presented in the proceedings were carefully reviewed and selected from 171 submissions. The papers are organized in the following topical sections: Recommendation System; Federated Learning 作者: giggle 時間: 2025-3-25 18:31
1867-8211 rking, Applications and Worksharing, CollaborateCom 2022, held in Hangzhou, China, in October 2022.?.The 57 full papers presented in the proceedings were carefully reviewed and selected from 171 submissions. The papers are organized in the following topical sections: Recommendation System; Federated作者: Ophthalmoscope 時間: 2025-3-25 20:55 作者: 咽下 時間: 2025-3-26 03:11 作者: Canary 時間: 2025-3-26 05:35
https://doi.org/10.1007/b136519s paper also proposes a compensation mechanism for the loss of user privacy. According to the security analysis and computational cost analysis, our PPBME scheme is efficient and secure in supporting smart grid applications.作者: 頂點 時間: 2025-3-26 10:59
The Prevalence of Sexual Perversion,tures of IoT traffic, which is able to automatically extract the high-level features from raw IoT traffic. The further evaluation indicates that our method is capable of identifying diverse IoT devices with satisfactory accuracy.作者: 消息靈通 時間: 2025-3-26 13:48
Microspore Derived Embryogenesis,d pixel information. Finally, the task is assigned to the left and right robotic arms, and the target grabbing task is realized based on the main-auxiliary control. The proposed approach is validated in multiple experiments on a Baxter robot under different conditions.作者: conjunctivitis 時間: 2025-3-26 20:22
A Novel Risk Assessment Method Based on?Hybrid Algorithm for?SCADAt also realizes the optimal distribution of the sampling density function and improves the accuracy of the assessment index. The assessment indexs accurately quantify the risk values of three widely used cyber attacks.作者: Harpoon 時間: 2025-3-26 20:58
A Visual Tool for?Interactively Privacy Analysis and?Preservation on?Order-Dynamic Tabular Data adjustment. Novel visual designs, i.e., data abstract, risk tree, integrated privacy enhancement, are developed to explore data correlations and acquire privacy awareness. We demonstrate TPA’s effectiveness with a case study on the prototype and qualitatively discuss the pros and cons with domain experts for future improvement.作者: deviate 時間: 2025-3-27 02:23 作者: dandruff 時間: 2025-3-27 07:01
An Adaptive Ensembled Neural Network-Based Approach to?IoT Device Identificationtures of IoT traffic, which is able to automatically extract the high-level features from raw IoT traffic. The further evaluation indicates that our method is capable of identifying diverse IoT devices with satisfactory accuracy.作者: Budget 時間: 2025-3-27 10:26
Research on?Depth-Adaptive Dual-Arm Collaborative Grasping Methodd pixel information. Finally, the task is assigned to the left and right robotic arms, and the target grabbing task is realized based on the main-auxiliary control. The proposed approach is validated in multiple experiments on a Baxter robot under different conditions.作者: CLEFT 時間: 2025-3-27 15:38
https://doi.org/10.1007/b136519ng the privacy information of victims while maintaining the accuracy of the global model. Comprehensive experimental results demonstrated that our method is effective in the prevention of GAN-based privacy inferring attacks.作者: 突變 時間: 2025-3-27 19:53
https://doi.org/10.1007/b136519change servers also provide message storage service in case that the receiver of these messages are offline, in which way, the communication becomes more simple and flexible. The experimental results show that our proposed system guarantees the strong tracking-resistance and high communication effic作者: 憤憤不平 時間: 2025-3-28 00:40
https://doi.org/10.1007/b136519formance hardware devices. And some methods require professional instruments such as oscilloscopes to collect fine-grained RF signals. For these reasons, we propose a lightweight clone detection method Anti-Clone. We combine convolutional neural networks (CNN) with transfer learning to combat data-c作者: 粗糙濫制 時間: 2025-3-28 03:41
https://doi.org/10.1007/b136519attach it on the chain. At the same time, the delay problem is added as a constraint to the trust calculation. Finally, the simulation experiment shows that the mechanism improves security of edge computing.作者: aquatic 時間: 2025-3-28 07:33
https://doi.org/10.1007/b136519 with three models (SVM, CNN, etc.) and compared it with other popular schemes in the classification accuracy and training time. Our scheme proved to be efficient and practical, which achieved 2% better than the second one in model accuracy, costing merely 4% of its training time with the 0.05 priva作者: 祖?zhèn)髫敭a(chǎn) 時間: 2025-3-28 12:56 作者: ESO 時間: 2025-3-28 16:17 作者: Between 時間: 2025-3-28 19:43 作者: 眨眼 時間: 2025-3-29 01:50
Chinese Sexuality and the Bound Foot,ast convolution extraction layer, a squeeze-and-excitation module is introduced to construct both the local spatial and global channel-wise facial feature information by explicitly modeling the interdependencies between the feature channels. Finally, a multiregression loss function is presented to i作者: Rejuvenate 時間: 2025-3-29 05:25 作者: modish 時間: 2025-3-29 11:10 作者: META 時間: 2025-3-29 12:16
Collaborative Computing: Networking, Applications and Worksharing18th EAI Internation作者: 修改 時間: 2025-3-29 16:43
Prevention of?GAN-Based Privacy Inferring Attacks Towards Federated Learningng the privacy information of victims while maintaining the accuracy of the global model. Comprehensive experimental results demonstrated that our method is effective in the prevention of GAN-based privacy inferring attacks.作者: 激勵 時間: 2025-3-29 20:08 作者: 男生如果明白 時間: 2025-3-30 02:17
Anti-Clone: A Lightweight Approach for?RFID Cloning Attacks Detectionformance hardware devices. And some methods require professional instruments such as oscilloscopes to collect fine-grained RF signals. For these reasons, we propose a lightweight clone detection method Anti-Clone. We combine convolutional neural networks (CNN) with transfer learning to combat data-c作者: 食草 時間: 2025-3-30 06:57
Dynamic Trust-Based Resource Allocation Mechanism for?Secure Edge Computingattach it on the chain. At the same time, the delay problem is added as a constraint to the trust calculation. Finally, the simulation experiment shows that the mechanism improves security of edge computing.作者: 火車車輪 時間: 2025-3-30 09:47 作者: laparoscopy 時間: 2025-3-30 14:18 作者: 值得尊敬 時間: 2025-3-30 17:49 作者: macrophage 時間: 2025-3-30 23:18
A Pareto-Efficient Task-Allocation Framework Based on?Deep Reinforcement Learning Algorithm in?MECblem of conflicting among multi-objectives. By coordinating multi-objectives parameters get from Pareto efficient algorithm, the deep reinforcement learning model takes a Pareto-efficient task allocation to improve real-time and resource utilization performance. We evaluate the proposed framework ov作者: Condescending 時間: 2025-3-31 02:12
Fine-Grained Head Pose Estimation Based on a 6D Rotation Representation with Multiregression Lossast convolution extraction layer, a squeeze-and-excitation module is introduced to construct both the local spatial and global channel-wise facial feature information by explicitly modeling the interdependencies between the feature channels. Finally, a multiregression loss function is presented to i作者: 空中 時間: 2025-3-31 08:49 作者: rheumatology 時間: 2025-3-31 11:07
