書目名稱Green, Pervasive, and Cloud Computing影響因子(影響力)學(xué)科排名
書目名稱Green, Pervasive, and Cloud Computing網(wǎng)絡(luò)公開度
書目名稱Green, Pervasive, and Cloud Computing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Green, Pervasive, and Cloud Computing被引頻次
書目名稱Green, Pervasive, and Cloud Computing被引頻次學(xué)科排名
書目名稱Green, Pervasive, and Cloud Computing年度引用
書目名稱Green, Pervasive, and Cloud Computing年度引用學(xué)科排名
書目名稱Green, Pervasive, and Cloud Computing讀者反饋
書目名稱Green, Pervasive, and Cloud Computing讀者反饋學(xué)科排名
作者: anatomical 時(shí)間: 2025-3-21 20:48 作者: 口訣 時(shí)間: 2025-3-22 01:47
Observations Concerning the Planet Venusormation in time. By virtue of concept stability, an isolated maximal clique detection approach is proposed. Experimental results shown that the proposed algorithm has a high F-measure value for detecting the isolated maximal cliques in social network.作者: chandel 時(shí)間: 2025-3-22 07:40
Alexei Gvishiani,Anatoly Solovievo limit the number of output connections to compute the output effectively by removing unimportant ones. The simulation results of the chaotic time series prediction show the effectiveness of the proposed model.作者: Counteract 時(shí)間: 2025-3-22 10:05
Evaluating mmWave Sensing Ability of Recognizing Multi-people Under Practical Scenariosarly under multi-person application scenarios in different environments remains to be explored. In this work, we collect and evaluate over the mmWave sensing point cloud dataset from mmWave FMCW radars. Our study reveals the change of point cloud as people population and their distance varies.作者: 同時(shí)發(fā)生 時(shí)間: 2025-3-22 13:29 作者: 同時(shí)發(fā)生 時(shí)間: 2025-3-22 17:14
Echo State Network Based on L0 Norm Regularization for Chaotic Time Series Predictiono limit the number of output connections to compute the output effectively by removing unimportant ones. The simulation results of the chaotic time series prediction show the effectiveness of the proposed model.作者: 芭蕾舞女演員 時(shí)間: 2025-3-22 22:16 作者: 種族被根除 時(shí)間: 2025-3-23 03:42 作者: 盡管 時(shí)間: 2025-3-23 05:54
https://doi.org/10.1007/978-3-663-08220-0r, the average absolute error percentage is less than 2.0% and 3.5% for respiration and heart rate, respectively. In addition, the proposed method improves the accuracy of vital signals detection in comparison with Bandpass filter and Peak Detection (BPK).作者: intrigue 時(shí)間: 2025-3-23 10:14 作者: RENAL 時(shí)間: 2025-3-23 17:41 作者: 天真 時(shí)間: 2025-3-23 21:31 作者: Asseverate 時(shí)間: 2025-3-23 22:55
Introducing Observational Film,etween the two weighted averages, calculated by McDiarmin’s inequality, proves a concept drift. The experiment results show that the proposed method with less detection delay, less false position and less false negative than most of the compared methods.作者: Cpap155 時(shí)間: 2025-3-24 03:04 作者: 形上升才刺激 時(shí)間: 2025-3-24 08:59 作者: 高度 時(shí)間: 2025-3-24 13:32
Long-Range Gesture Recognition Using Millimeter Wave RadarWe thoroughly evaluate our proposed system by implementing on a commodity mmWave radar. Besides, we also provide more extensive assessments to demonstrate that the proposed system is practical in several real-world scenarios.作者: 打谷工具 時(shí)間: 2025-3-24 17:51
An Improved Artificial Bee Colony Algorithm with Multiple Search Strategy is modified to increase disturbance in scout bee phase. Six benchmark functions are used to test the efficiency and stability of the algorithm, and the simulation results show IABC algorithm performs better than ABC algorithm in high dimensional space.作者: 可互換 時(shí)間: 2025-3-24 20:36 作者: 小卒 時(shí)間: 2025-3-25 02:53
https://doi.org/10.1007/978-3-663-08220-0ignals detection using microwave radar is preferable due to its zero disturbance to the subject. This paper presents a Wavelet Analysis (WA) based noncontact heartbeat and respiration signals detection algorithm using millimeter Frequency Modulated Continuous Wave (FMCW) radar. In WA, wavelet packet作者: 歡笑 時(shí)間: 2025-3-25 07:25 作者: 有惡臭 時(shí)間: 2025-3-25 07:39
,Normale und gest?rte Adaptation,ose-range gesture recognition, but fall short in range extension, ., they are unable to recognize gestures more than one meter away from considerable noise motions. In this paper, we design a long-range gesture recognition model which utilizes a novel data processing method and a customized artifici作者: 效果 時(shí)間: 2025-3-25 14:17 作者: 細(xì)微差別 時(shí)間: 2025-3-25 18:27
Using All the Senses in Ecologyormation. Many people do not accept cameras deployed in their homes or workspaces. Recently, millimeter-wave (mmWave) gait recognition has been recognized as an alternative solution, which has the advantages of low power consumption and user privacy protection. However, performance analysis particul作者: BOAST 時(shí)間: 2025-3-25 22:57
https://doi.org/10.1007/978-3-642-97678-0often becomes the performance bottleneck. Gradient sparsification has been proposed to reduce the communication overhead. However, the sparsification only arbitrarily selects a small fraction of gradients, while the efficiency of selection dimension has been overlooked. Furthermore, gradient stalene作者: 小歌劇 時(shí)間: 2025-3-26 02:39 作者: incontinence 時(shí)間: 2025-3-26 04:42
Observation of the Earth and its Environmentisk to DRAM is still limited by disk performance. The emerging . (NVRAM) provides a novel solution for this problem, while few existing researches have considered it. We propose a novel efficient data prefetch strategy for DL based on a heterogeneous memory system combining NVRAM with DRAM. Benefitt作者: delusion 時(shí)間: 2025-3-26 09:10 作者: 混合 時(shí)間: 2025-3-26 14:35
G. Contopoulos,N. Voglis,C. Efthymiopouloscessfully extended to time series classification in recent years. As a generalization of the nearest subspace classifier, the performance of SRC depends on a rich set of training samples for each class, which can span as many variations of each class as possible under testing conditions. However, du作者: daredevil 時(shí)間: 2025-3-26 19:48 作者: BOOR 時(shí)間: 2025-3-27 00:07
Alexei Gvishiani,Anatoly Solovieve the gradient-based problem of most recurrent neural networks in the training process. However, there may be an ill-posed problem when the least square method is used to calculate the output weight. In this paper, we proposed an echo state network based on L. norm regularization. The main idea is t作者: 滲透 時(shí)間: 2025-3-27 03:20
Peter W. Roberts,Saurabh A. Lallractions) but also implicit information (i.e., side information) should be utilized. Generally, both explicit and implicit information can be categorized according to the following assumptions: 1) Users with same behaviors are similar; 2) Items related to the same user are similar; 3) Items with sam作者: 匍匐前進(jìn) 時(shí)間: 2025-3-27 07:22 作者: Outwit 時(shí)間: 2025-3-27 11:42
Guido Visconti,Piero Di Carlo,Mark Schoeberl the stations are actuated at partial time. Therefore, it is necessary to study how to actively collect a subset of air quality data to maximize the estimation accuracy of air quality at other locations and time. In order to solve this challenge, we propose the active variational adversarial model (作者: 杠桿支點(diǎn) 時(shí)間: 2025-3-27 16:24
Wavelet Analysis Based Noncontact Vital Signal Measurements Using mm-Wave Radarignals detection using microwave radar is preferable due to its zero disturbance to the subject. This paper presents a Wavelet Analysis (WA) based noncontact heartbeat and respiration signals detection algorithm using millimeter Frequency Modulated Continuous Wave (FMCW) radar. In WA, wavelet packet作者: RAG 時(shí)間: 2025-3-27 21:37
Study on Feasibility of Remote Metal Detection Using Millimeter Wave Radar for Convenient and Efficiate-of-the-art solutions are based on a huge antenna array which is too cumbersome, ., it is difficult to move, repair, and also occupies a large amount of space. From views of the long term, it is uneconomical, high power consumption and narrow application. In this paper, we propose a new and more 作者: Apoptosis 時(shí)間: 2025-3-27 21:55
Long-Range Gesture Recognition Using Millimeter Wave Radarose-range gesture recognition, but fall short in range extension, ., they are unable to recognize gestures more than one meter away from considerable noise motions. In this paper, we design a long-range gesture recognition model which utilizes a novel data processing method and a customized artifici作者: 細(xì)絲 時(shí)間: 2025-3-28 03:55
Towards Fine-Grained Indoor White Space Sensinglthough a few indoor white space exploration systems have been proposed in the past few years, they mainly focused on exploring white spaces at a small set of candidate locations. However, what we need are the white space availabilities at arbitrary indoor locations instead of only those at the cand作者: motivate 時(shí)間: 2025-3-28 09:12 作者: FAST 時(shí)間: 2025-3-28 10:41 作者: pulse-pressure 時(shí)間: 2025-3-28 18:07
An Improved Artificial Bee Colony Algorithm with Multiple Search Strategy. To solve the problem that ABC algorithm is easy to fall into local optimum, this paper proposes an Improved Artificial Bee Colony (IABC) algorithm with multiple search strategy. An opposition-based learning technique is integrated in initialization phase. Then, in order to speed up convergence rat作者: 跑過 時(shí)間: 2025-3-28 19:17
An Efficient Data Prefetch Strategy for Deep Learning Based on Non-volatile Memoryisk to DRAM is still limited by disk performance. The emerging . (NVRAM) provides a novel solution for this problem, while few existing researches have considered it. We propose a novel efficient data prefetch strategy for DL based on a heterogeneous memory system combining NVRAM with DRAM. Benefitt作者: frugal 時(shí)間: 2025-3-29 01:16 作者: 半導(dǎo)體 時(shí)間: 2025-3-29 03:31 作者: Dictation 時(shí)間: 2025-3-29 10:58 作者: APEX 時(shí)間: 2025-3-29 12:00
Echo State Network Based on L0 Norm Regularization for Chaotic Time Series Predictione the gradient-based problem of most recurrent neural networks in the training process. However, there may be an ill-posed problem when the least square method is used to calculate the output weight. In this paper, we proposed an echo state network based on L. norm regularization. The main idea is t作者: jeopardize 時(shí)間: 2025-3-29 19:04 作者: cornucopia 時(shí)間: 2025-3-29 23:32
MGCN4REC: Multi-graph Convolutional Network for Next Basket Recommendation with Instant Interestt item-level preferences. The existing works often combine the long-and short-term patterns to capture user’s preferences. But the short-term preferences modeled by the recent behavior patterns cannot clearly indicate the users’ instant interest. In this paper, we propose a sequential recommendation作者: galley 時(shí)間: 2025-3-30 03:02
Using Deep Active Learning to Save Sensing Cost When Estimating Overall Air Quality the stations are actuated at partial time. Therefore, it is necessary to study how to actively collect a subset of air quality data to maximize the estimation accuracy of air quality at other locations and time. In order to solve this challenge, we propose the active variational adversarial model (作者: dialect 時(shí)間: 2025-3-30 06:51 作者: Anticonvulsants 時(shí)間: 2025-3-30 08:32 作者: 召集 時(shí)間: 2025-3-30 12:55
An Improved Sparse Representation Classifier Based on Data Augmentation for Time Series Classificati paper, a new approach IESRC (Improved extend sparse representation based classification) is developed by splitting the dictionary into an original dictionary and auxiliary dictionary. The proposed model was first evaluated in 30 baseline data sets in the University of California, Riverside time ser作者: Endearing 時(shí)間: 2025-3-30 19:02
MI-KGNN: Exploring Multi-dimension Interactions for Recommendation Based on Knowledge Graph Neural N and item-user interactions, we define another two types of interactions by introducing three different bipartite graphs. On one hand, we explore the interaction between items and the neighborhood during the information aggregation process. On the other hand, we explore the interaction between users作者: 可忽略 時(shí)間: 2025-3-30 23:51
MGCN4REC: Multi-graph Convolutional Network for Next Basket Recommendation with Instant Interestexperiments on real data sets of Amazon to evaluate the performance of MGCN4REC model, and the results show that our model outperforms the current state-of-the-art sequential recommendation methods over 15% on the metrics.作者: 最高點(diǎn) 時(shí)間: 2025-3-31 02:55
Using Deep Active Learning to Save Sensing Cost When Estimating Overall Air Qualityrained from the compressed representation. Finally the discriminator can output the most valuable unlabeled samples from the candidate set. The experimental results show that the AVAM proposed in this paper is superior to active learning models with the first or second phase only.作者: 一條卷發(fā) 時(shí)間: 2025-3-31 06:07
Obligation and Healthcare Reforms in China,rpolation algorithm. Furthermore, we evaluate the performance of FRISE based on real-world measured data. The evaluation results show that FRISE outperforms the existing methods in estimating white spaces at arbitrary indoor locations.作者: 民間傳說 時(shí)間: 2025-3-31 10:37 作者: Brittle 時(shí)間: 2025-3-31 13:31
