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: HACK 時(shí)間: 2025-3-21 22:20
Obstructive and Functional Abnormalities IIs proposed. The algorithm firstly extracts the expression features of the preprocessed data by using the improved HOG-LBP algorithm, then uses the improved discriminative correlation analysis algorithm to reduce the dimension of the feature information. Experimental results show that the improved al作者: 似少年 時(shí)間: 2025-3-22 04:14
Bedeutung der Lungenfunktionsdiagnostik,mage is divided into three channels of RGB, and the extracted green channel image is enhanced with the Butterworth parameter function of the fusion power function. Then the improved UNet++ network model is used to extract the texture features of the fundus image, and the residual module is used to e作者: FLINT 時(shí)間: 2025-3-22 06:02
Magda-Viola Hanke,Henryk Flachowskyively ensure the professionalism and effectiveness of the knowledge graph. However, there are few relevant research in recent literature, which also restricts the application of knowledge graph in the food safety field. In order to solve this problem, this paper proposes the construction method of f作者: 積云 時(shí)間: 2025-3-22 12:38 作者: PANG 時(shí)間: 2025-3-22 13:57
Imaging of Occult Spinal Dysraphism,mporal component graph convolution network for the problem of road traffic sign recognition in a complex environment. The algorithm uses octave convolution to reduce the computational effort to improve the recognition speed and uses a spatio-temporal graph convolution network to recognize traffic si作者: PANG 時(shí)間: 2025-3-22 17:03 作者: 機(jī)警 時(shí)間: 2025-3-22 22:47
Occupation and Pay in Great Britain 1906–79iency, and a high risk of privacy leakage, the use of traditional centralized data centers to analyze massive data has proven to be a difficult task. These challenges have prompted a revolutionary change in VANET architectures to scatter computations from a centralized data center to distributed net作者: heckle 時(shí)間: 2025-3-23 04:00
Malignant Mesothelioma: Pathology,whether the tumor will become cancerous or to confirm the stage of lesions. Confocal endoscopy, which can provide cell-level resolution and realize non-invasive real-time optical biopsy, has attracted much attention in the field of clinical disease diagnosis. However, because of the small field of v作者: 制定法律 時(shí)間: 2025-3-23 07:12 作者: Homocystinuria 時(shí)間: 2025-3-23 13:07 作者: 追蹤 時(shí)間: 2025-3-23 14:53
https://doi.org/10.1007/978-3-030-47283-2t marine acoustic environments. The phase generated carrier (PGC) demodulation technology is widely applied in interferometric fiber-optic hydrophones because of its wide dynamic range, high sensitivity, and high phase measurement accuracy. An ellipse fitting optimization method based on least squar作者: 脆弱帶來 時(shí)間: 2025-3-23 19:44
The Views of the Research Reference Group, deep learning technique has been broadly used in recent years in the area of plant leaf disease classification. However, existing networks with large number of parameters are not easily deployed to farms with limited end devices and cannot be effectively utilised in natural agricultural environment作者: Accommodation 時(shí)間: 2025-3-23 22:50
Occupational Therapy for Older Peoplee number of samples. In this paper, we propose an unsupervised learning method that learns knowledge about normal images by distilling knowledge from a pre-trained expert network on ImageNet to a learner network of the same size. For a given input image, we use the differences in the features of the作者: nephritis 時(shí)間: 2025-3-24 05:20
https://doi.org/10.1007/978-1-4899-3085-9rget detection increases with the low SNR of target echo, because the test statistic of the data fusion center is equal weight summation and does not consider the difference of echo signal strength of targets in different paths. In the proposed method, a priori knowledge of distance can be obtained 作者: 關(guān)心 時(shí)間: 2025-3-24 06:58 作者: Camouflage 時(shí)間: 2025-3-24 12:15
Client-Directed Therapy Using the COSA,aced growth of the automotive industry and communications technologies. At the same time, with the rapid development of in-vehicle video, the development of broadcasting business has been driven. The 3GPP standardization group has suggested the evolved Multimedia Broadcast Multicast Service (eMBMS),作者: Constant 時(shí)間: 2025-3-24 16:27
Psychosocial aspects of rheumatoid disease,and. However, most existing methods cannot capture the complicated structure of electricity time series, and make personalized suggestions on electricity purchasing scheme. The main challenge lies in the periodicity and instability of electricity time series. To capture the global and local features作者: Hamper 時(shí)間: 2025-3-24 21:58 作者: senile-dementia 時(shí)間: 2025-3-25 02:56 作者: Lineage 時(shí)間: 2025-3-25 06:28
,Feature Fusion Expression Recognition Algorithm Based on?DCA Dimensionality Reduction,s proposed. The algorithm firstly extracts the expression features of the preprocessed data by using the improved HOG-LBP algorithm, then uses the improved discriminative correlation analysis algorithm to reduce the dimension of the feature information. Experimental results show that the improved al作者: Foam-Cells 時(shí)間: 2025-3-25 09:23
,Decision Tree Fusion and?Improved Fundus Image Classification Algorithm,mage is divided into three channels of RGB, and the extracted green channel image is enhanced with the Butterworth parameter function of the fusion power function. Then the improved UNet++ network model is used to extract the texture features of the fundus image, and the residual module is used to e作者: Collected 時(shí)間: 2025-3-25 13:49 作者: 排名真古怪 時(shí)間: 2025-3-25 17:55 作者: 他很靈活 時(shí)間: 2025-3-25 22:29
,Traffic Sign Image Segmentation Algorithm Based on?Improved Spatio-Temporal Map Convolution,mporal component graph convolution network for the problem of road traffic sign recognition in a complex environment. The algorithm uses octave convolution to reduce the computational effort to improve the recognition speed and uses a spatio-temporal graph convolution network to recognize traffic si作者: inconceivable 時(shí)間: 2025-3-26 02:57 作者: Organization 時(shí)間: 2025-3-26 05:36
,A Blockchain-Based Distributed Machine Learning (BDML) Approach for?Resource Allocation in?Vehiculaiency, and a high risk of privacy leakage, the use of traditional centralized data centers to analyze massive data has proven to be a difficult task. These challenges have prompted a revolutionary change in VANET architectures to scatter computations from a centralized data center to distributed net作者: calumniate 時(shí)間: 2025-3-26 12:20 作者: prosthesis 時(shí)間: 2025-3-26 16:19
Deployment Strategy of Highway RSUs for Vehicular Ad Hoc Networks Considering Accident Notificationtical analysis model is established by analyzing the relationship between the delivery delay of accident notification information and the deployment of RSUs in the Vehicular Ad Hoc Networks (VANETs). The model assumes that two adjacent RSUs are connected, and considers the impact of accident probabi作者: Type-1-Diabetes 時(shí)間: 2025-3-26 18:40 作者: 規(guī)范就好 時(shí)間: 2025-3-27 00:08 作者: 搖曳 時(shí)間: 2025-3-27 04:34 作者: 帶來墨水 時(shí)間: 2025-3-27 05:44 作者: 松果 時(shí)間: 2025-3-27 11:25 作者: correspondent 時(shí)間: 2025-3-27 17:35
Performer: A Resource Demand Forecasting Method for Data Centers,nd to schedule tasks. To cope with the huge number of workloads in a data center, workloads are usually clustered first and then prediction is conducted for each cluster. However, training different models for different clusters separately reduces the overall utilization of the data in the data cent作者: PALSY 時(shí)間: 2025-3-27 18:20
,Optimizing Video QoS for?eMBMS Users in?the?Internet of?Vehicles,aced growth of the automotive industry and communications technologies. At the same time, with the rapid development of in-vehicle video, the development of broadcasting business has been driven. The 3GPP standardization group has suggested the evolved Multimedia Broadcast Multicast Service (eMBMS),作者: TATE 時(shí)間: 2025-3-28 01:27
,Huffman Tree Based Multi-resolution Temporal Convolution Network for?Electricity Time Series Predicand. However, most existing methods cannot capture the complicated structure of electricity time series, and make personalized suggestions on electricity purchasing scheme. The main challenge lies in the periodicity and instability of electricity time series. To capture the global and local features作者: Incisor 時(shí)間: 2025-3-28 03:11
Deep Learning-Based Autonomous Cow Detection for Smart Livestock Farming,ought the autonomous robotic system to the smart farming that enhance productivity and efficiency. Therefore, a YOLOv4-SAM was proposed to achieve high detection precision of cow body parts in long-term complex scenes. The proposed YOLOv4-SAM consists of two components: YOLOv4 is for multi-scale fea作者: 親愛 時(shí)間: 2025-3-28 08:36
Bedeutung der Lungenfunktionsdiagnostik,nhance the texture features. The results of the experiment show that the average accuracy, the average specificity and the average sensitivity of the improved algorithm increase by 9.2%, 6.4% and 6.5% respectively. The improved algorithm is effective in glaucoma fundus image classification.作者: concise 時(shí)間: 2025-3-28 13:40
,Decision Tree Fusion and?Improved Fundus Image Classification Algorithm,nhance the texture features. The results of the experiment show that the average accuracy, the average specificity and the average sensitivity of the improved algorithm increase by 9.2%, 6.4% and 6.5% respectively. The improved algorithm is effective in glaucoma fundus image classification.作者: Rebate 時(shí)間: 2025-3-28 15:05 作者: 彎曲道理 時(shí)間: 2025-3-28 18:44 作者: 流利圓滑 時(shí)間: 2025-3-29 00:18
Psychosocial aspects of rheumatoid disease,tion features and therefore achieve high prediction accuracy. We also implement a cost optimization framework based on HM-TCN with visualization interface. Extensive experiments with real-world data offer evidence that the proposed method outperform the baselines by reducing RMSE by at least 89%.作者: 肉身 時(shí)間: 2025-3-29 03:16 作者: 文藝 時(shí)間: 2025-3-29 10:40 作者: 賄賂 時(shí)間: 2025-3-29 12:39 作者: 輪流 時(shí)間: 2025-3-29 19:09
Obstructive and Functional Abnormalities II reasoning speed increases by 74.7%. Although the average recognition rate of the improved algorithm has no advantage over several deep learning algorithms, its training time and reasoning speed are far below the deep learning framework.作者: chiropractor 時(shí)間: 2025-3-29 22:51
https://doi.org/10.1007/978-3-031-59807-4form show that the single-vehicle intelligent driving strategy achieves a high level of accuracy, and the federated learning vehicle model achieves a significant 15. increase in the success rate of turning tasks and a 21. increase in the success rate of going straight, which verifies the effectiveness of the method in this paper.作者: MAIZE 時(shí)間: 2025-3-30 03:57
Occupational Therapy for Older Peoples worth noting that we don‘t need to split the picture into patches to train, and we don‘t need to design the learner network additionally. Our general framework is relatively simple, yet has a good detection effect. We provide very competitive results on the MVTecAD dataset and DAGM dataset.作者: 不安 時(shí)間: 2025-3-30 05:34
https://doi.org/10.1007/978-1-4899-3085-9etection of weak targets can be realized. Finally, the simulation results show that the detection performance of the weighted-distance detection algorithm is better than that of the conventional algorithm.作者: 的事物 時(shí)間: 2025-3-30 11:17 作者: grotto 時(shí)間: 2025-3-30 12:38 作者: 變量 時(shí)間: 2025-3-30 16:37 作者: 駁船 時(shí)間: 2025-3-30 20:45 作者: 混合物 時(shí)間: 2025-3-31 04:45 作者: Hangar 時(shí)間: 2025-3-31 06:41
Construction Method of National Food Safety Standard Ontology,ework to complete the ontology. According to the experimental results of our entity mapping, the food safety standard ontology can describe the mainly important concepts, terms, operation process and their relation in the standards. So it will effectively support the construction and integration of 作者: Antecedent 時(shí)間: 2025-3-31 09:17
,Traffic Sign Image Segmentation Algorithm Based on?Improved Spatio-Temporal Map Convolution, eventually used for road sign recognition. The experimental results show that the algorithm can effectively improve the segmentation accuracy rate, which is 16.5%, 10.1%, 6.1%, and 5.1%, respectively, compared with other algorithms; in terms of recognition speed, the single image processing time of作者: 能量守恒 時(shí)間: 2025-3-31 16:33 作者: 掃興 時(shí)間: 2025-3-31 21:21
,A Blockchain-Based Distributed Machine Learning (BDML) Approach for?Resource Allocation in?Vehiculaint optimization problem. We use a local deep reinforcement learning with a prioritized experience replay mechanism on edge nodes and use the blockchain for sharing the optimal learning results to optimize the overall resource allocation problem. Simulation results show that our proposed scheme is s作者: LAVA 時(shí)間: 2025-4-1 00:02
Ranging of Confocal Endoscopy Probe Using Recognition and Optical Flow Algorithm,m to predict the pixel displacement of crypt. Finally, the distance and angle of the endoscope lens motion are obtained through the scale. The moving angle and distance of the endoscope can help locate the probe position of the endoscope lens and record the probe path of the endoscope lens. After th作者: 施加 時(shí)間: 2025-4-1 02:48
Deployment Strategy of Highway RSUs for Vehicular Ad Hoc Networks Considering Accident Notificationperformance of our proposed model, this paper uses MATLAB to solve the model numerically. Compared with the existing model that assumes that two adjacent RSUs are not connected and the secondary inter-cluster communication are not considered, the delivery delay of the accident notification informati作者: CLEFT 時(shí)間: 2025-4-1 07:23
,MixKd: Mix Data Augmentation Guided Knowledge Distillation for?Plant Leaf Disease Recognition,ecognition accuracy by up to 3.06% compared to the traditional knowledge distillation method and up to 7.23% compared to the baseline model. This study shows that the method provides a viable resolution for the diagnosis of plant foliar diseases in realistic scenarios.作者: Immunotherapy 時(shí)間: 2025-4-1 10:16 作者: BOAST 時(shí)間: 2025-4-1 16:08 作者: Flustered 時(shí)間: 2025-4-1 19:10
