書(shū)目名稱(chēng)Green, Pervasive, and Cloud Computing影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Green, Pervasive, and Cloud Computing網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Green, Pervasive, and Cloud Computing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Green, Pervasive, and Cloud Computing被引頻次
書(shū)目名稱(chēng)Green, Pervasive, and Cloud Computing被引頻次學(xué)科排名
書(shū)目名稱(chēng)Green, Pervasive, and Cloud Computing年度引用
書(shū)目名稱(chēng)Green, Pervasive, and Cloud Computing年度引用學(xué)科排名
書(shū)目名稱(chēng)Green, Pervasive, and Cloud Computing讀者反饋
書(shū)目名稱(chēng)Green, Pervasive, and Cloud Computing讀者反饋學(xué)科排名
作者: 親愛(ài) 時(shí)間: 2025-3-21 20:30 作者: Confound 時(shí)間: 2025-3-22 03:39 作者: Mhc-Molecule 時(shí)間: 2025-3-22 08:29 作者: 高度表 時(shí)間: 2025-3-22 12:01 作者: anchor 時(shí)間: 2025-3-22 15:36
: A Privacy-Preserving Federated Recommendation Framework via?Knowledge Graph Enhancementned popularity in recommendation tasks due to their ability to capture high-order interactions between users and items. However, privacy concerns prevent the global sharing of the entire user-item graph. To address this limitation, some methods create pseudo-interacted items or users in the graph to作者: anchor 時(shí)間: 2025-3-22 20:22
Efficient and?Reliable Federated Recommendation System in?Temporal Scenariosndation models that match the performance of centralized models while preserving user privacy. Existing federated recommendation models primarily rely on static relational data, overlooking the temporal patterns that dynamically evolve over time. In domains like travel recommendations, factors such 作者: hereditary 時(shí)間: 2025-3-23 00:19 作者: CLAN 時(shí)間: 2025-3-23 02:52 作者: BUCK 時(shí)間: 2025-3-23 06:33 作者: CRUDE 時(shí)間: 2025-3-23 12:31
NLP-Based Test Co-evolution Prediction for IoT Application Maintenanceates and the growing scale of IoT applications, IoT developers mainly focus on the production code but overlook the co-evolution of the corresponding test code. To facilitate the maintenance of IoT applications, this paper proposes an NLP-based approach to predict whether the test code needs to be c作者: 痛苦一生 時(shí)間: 2025-3-23 16:22
Fine-Grained Access Control Proxy Re-encryption with?HRA Security from?Latticemation security issues have become core elements. The challenge lies in securely transmitting, computing, and sharing data in a cloud computing environment while keeping privacy. In this paper, we propose an access control proxy re-encryption scheme that supports inner product operations based on la作者: ALB 時(shí)間: 2025-3-23 18:29 作者: 蹣跚 時(shí)間: 2025-3-24 00:14 作者: semiskilled 時(shí)間: 2025-3-24 04:38
A Cloud-Based Sign Language Translation System via CNN with Smart Glassesguage and thus communication may be impaired, which means that a technology or device to assist communication is needed. Therefore, this study develops a new cloud sign language translation system on smart device based on the Browser/Server architecture, so that when the hearing-impaired person make作者: 詞匯記憶方法 時(shí)間: 2025-3-24 08:31 作者: DEAF 時(shí)間: 2025-3-24 11:45
Richard L. Haedrich,Kenneth O. Emerycted to have high Quality of Service (QoS), how to accurately predict QoS has become a challenging issue. Some current deep learning (DL) based approaches usually simply concatenate the embedding vectors, without considering the correlation between embedding dimensions. Besides, the high-order featu作者: 輕彈 時(shí)間: 2025-3-24 18:46 作者: 陰謀 時(shí)間: 2025-3-24 22:20 作者: Gobble 時(shí)間: 2025-3-25 01:27 作者: Thrombolysis 時(shí)間: 2025-3-25 06:59 作者: 發(fā)怨言 時(shí)間: 2025-3-25 09:30
The End of the Cetaceans’ Reignndation models that match the performance of centralized models while preserving user privacy. Existing federated recommendation models primarily rely on static relational data, overlooking the temporal patterns that dynamically evolve over time. In domains like travel recommendations, factors such 作者: 難解 時(shí)間: 2025-3-25 14:09
C. Mallet,M. F. Charpin,J. Devaux for User Devices (UDs). However, the UAV has relatively high transmission latency. And D2D lacks the necessary flexibility. In this paper, we introduce a novel MEC system that utilizes the collaborative advantages of flexible movement of UAV and the low latency transmission of D2D communication to 作者: Scleroderma 時(shí)間: 2025-3-25 15:50 作者: 陪審團(tuán)每個(gè)人 時(shí)間: 2025-3-25 21:43 作者: arousal 時(shí)間: 2025-3-26 04:12
,Cephalopod Cuisine—Its Global Reach,ates and the growing scale of IoT applications, IoT developers mainly focus on the production code but overlook the co-evolution of the corresponding test code. To facilitate the maintenance of IoT applications, this paper proposes an NLP-based approach to predict whether the test code needs to be c作者: MUMP 時(shí)間: 2025-3-26 05:20 作者: Overthrow 時(shí)間: 2025-3-26 11:51
Anatomy of the Ocular Vasculaturesnce between people. This research aims to capture micro-expressions in real-time through smart glasses and uses deep learning technology to develop a real-time emotion recognition system based on RGB color values to improve interpersonal communication. We trained a multi-layer fully deep neural netw作者: 植物學(xué) 時(shí)間: 2025-3-26 12:54
Susan Watkinson,Swapna Naskar WilliamsonB integrates a large number of microvalves and large-scale microchannel networks into a single chip, enabling efficient execution of various biochemical protocols. However, as the scale of the chip increases, the routing task for CFMB becomes increasingly complex, and traditional manual routing is n作者: disparage 時(shí)間: 2025-3-26 19:51 作者: follicular-unit 時(shí)間: 2025-3-26 21:00
https://doi.org/10.1007/978-94-017-2468-5al-Adaptive Identification (SIAI) strategy that uses historical parameters to optimize sampling distribution and then improve identification accuracy. Final evaluations based on multiple robotic locomotion tasks showed superiority of our method over baselines.作者: 百靈鳥(niǎo) 時(shí)間: 2025-3-27 01:48 作者: Resistance 時(shí)間: 2025-3-27 05:18
https://doi.org/10.1007/978-94-6209-590-8, SSADV-Hop algorithm, and WOADV-Hop algorithm, the INGO algorithm reduces the average normalized localization error when the beacon node, communication radius, and total number of nodes are different.作者: 不在灌木叢中 時(shí)間: 2025-3-27 11:28 作者: 糾纏 時(shí)間: 2025-3-27 14:43 作者: 即席演說(shuō) 時(shí)間: 2025-3-27 21:05 作者: MAZE 時(shí)間: 2025-3-28 01:35 作者: FIR 時(shí)間: 2025-3-28 05:30
Modern Coral Reefs in South China Seaegy) algorithm, called WS-ESS-CMA-ES algorithm, to allocate computing resources and solve the above problem. The process of using the proposed algorithm to solve the problem of cloud computing resource allocation in real scenarios is simulated, and compared with some other algorithms. The experiment作者: Adulterate 時(shí)間: 2025-3-28 06:41
Albert Bosch,F. Xavier Abad,Rosa M. Pintóding strategies and transmission power. Furthermore, a UAV-enabled MEC with Non-Orthogonal Multiple Access architecture is introduced, incorporating task computation and transmission queue models. In addition, a differential reward function that considers both system-level rewards and individual rew作者: expeditious 時(shí)間: 2025-3-28 13:05
Pedro Duarte,J.‘Magdalena Santana-Casianot local interaction items and obscure gradients, we employ pseudo-labeling and . (LDP). Extensive experiments conducted on three real-world datasets demonstrate the competitive performance of our approach compared to centralized algorithms while ensuring privacy preservation. Moreover, . achieves an作者: 漫步 時(shí)間: 2025-3-28 14:47
The End of the Cetaceans’ Reigng the learning of nonlinear relationships among diverse latent factors. This approach not only addresses the privacy concerns by preserving the confidentiality of user data but also enables the modeling of temporal dynamics to enhance the accuracy and relevance of recommendations over time.作者: 情感脆弱 時(shí)間: 2025-3-28 19:54
C. Mallet,M. F. Charpin,J. Devauxdemonstrate that DDPG reduces the latency by 41% compared to Deep Q-Network (DQN) and Actor-Critic (AC) algorithm. Our collaborative UAV-D2D model has 16% and 32% lower latency than when only the UAV or D2D works alone.作者: 是貪求 時(shí)間: 2025-3-28 23:59 作者: Adjourn 時(shí)間: 2025-3-29 05:06 作者: 口音在加重 時(shí)間: 2025-3-29 08:06
Anatomy of the Ocular Vasculaturese experimental results of system show that the system can achieve accurate emotion recognition, help users better understand the psychological state of the communication object, and improve the communication environment and quality. In addition, the system can also store communication records and em作者: maudtin 時(shí)間: 2025-3-29 14:42 作者: 脫落 時(shí)間: 2025-3-29 18:43
Ocular Delivery of Proteins and Peptides,enters to test the sign language translation system ten times for each person, and the final average accuracy rate was 72%. Through such an interpreting system, it brings a convenient and efficient communication experience to the hearing-impaired person and people who need to communicate with the he作者: 使苦惱 時(shí)間: 2025-3-29 23:10 作者: 接觸 時(shí)間: 2025-3-30 01:31
Convolutional Neural Network Based QoS Prediction with?Dimensional Correlationld a deeper model and learn high-order features. In addition, the parameters of QPCN are significantly reduced, which will reduce the time and energy consumption of inference. The effectiveness of QPCN is validated by experiments on a real-world dataset.作者: 事先無(wú)準(zhǔn)備 時(shí)間: 2025-3-30 07:19
Multiple Relays Assisted MEC System for?Dynamic Offloading and?Resource Scheduling with?Energy Harve, we propose an approach called Multi-Relay Assisted Dynamic Computation Offloading (MRADCO) algorithm, which leverages the Lyapunov optimization technique. It is important to note that our proposed algorithm makes decisions solely based on the current state, without requiring the distribution infor作者: exceptional 時(shí)間: 2025-3-30 12:07
A Cloud Computing User Experience Focused Load Balancing Method Based on?Modified CMA-ES Algorithmegy) algorithm, called WS-ESS-CMA-ES algorithm, to allocate computing resources and solve the above problem. The process of using the proposed algorithm to solve the problem of cloud computing resource allocation in real scenarios is simulated, and compared with some other algorithms. The experiment作者: spinal-stenosis 時(shí)間: 2025-3-30 13:15
Energy-Efficient Task Offloading in?UAV-Enabled MEC via?Multi-agent Reinforcement Learningding strategies and transmission power. Furthermore, a UAV-enabled MEC with Non-Orthogonal Multiple Access architecture is introduced, incorporating task computation and transmission queue models. In addition, a differential reward function that considers both system-level rewards and individual rew作者: 有權(quán)威 時(shí)間: 2025-3-30 19:38
: A Privacy-Preserving Federated Recommendation Framework via?Knowledge Graph Enhancementt local interaction items and obscure gradients, we employ pseudo-labeling and . (LDP). Extensive experiments conducted on three real-world datasets demonstrate the competitive performance of our approach compared to centralized algorithms while ensuring privacy preservation. Moreover, . achieves an作者: liaison 時(shí)間: 2025-3-30 22:20
Efficient and?Reliable Federated Recommendation System in?Temporal Scenariosg the learning of nonlinear relationships among diverse latent factors. This approach not only addresses the privacy concerns by preserving the confidentiality of user data but also enables the modeling of temporal dynamics to enhance the accuracy and relevance of recommendations over time.作者: Neuralgia 時(shí)間: 2025-3-31 02:25 作者: 無(wú)意 時(shí)間: 2025-3-31 08:43
NLP-Based Test Co-evolution Prediction for IoT Application Maintenanceodel was built by learning the correlations among these features to determine the possibility of test co-evolution. We evaluated the effectiveness of our NLP-based approach on 15 widely used Python projects in the IoT domain. The evaluation result shows that the prediction accuracy of our model achi作者: 擦試不掉 時(shí)間: 2025-3-31 10:29 作者: LAVE 時(shí)間: 2025-3-31 15:34 作者: 畸形 時(shí)間: 2025-3-31 17:34
Genetic-A* Algorithm-Based Routing for?Continuous-Flow Microfluidic Biochip in?Intelligent Digital Hmate solution in the solution space. Experimental results show that this method can reduce routing length and minimize routing crossings, thereby improving the parallel transmission speed of reagents on CFMB. This approach provides a feasible solution for large-scale automated routing of CFMB in the作者: condemn 時(shí)間: 2025-4-1 01:30
A Cloud-Based Sign Language Translation System via CNN with Smart Glassesenters to test the sign language translation system ten times for each person, and the final average accuracy rate was 72%. Through such an interpreting system, it brings a convenient and efficient communication experience to the hearing-impaired person and people who need to communicate with the he作者: ensemble 時(shí)間: 2025-4-1 05:31
