標題: Titlebook: Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health; International 2020 C Huansheng Ning,Feifei Shi Conference proceed [打印本頁] 作者: 五個 時間: 2025-3-21 19:12
書目名稱Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health影響因子(影響力)
書目名稱Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health影響因子(影響力)學科排名
書目名稱Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health網(wǎng)絡公開度
書目名稱Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health網(wǎng)絡公開度學科排名
書目名稱Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health被引頻次
書目名稱Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health被引頻次學科排名
書目名稱Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health年度引用
書目名稱Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health年度引用學科排名
書目名稱Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health讀者反饋
書目名稱Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health讀者反饋學科排名
作者: osteoclasts 時間: 2025-3-21 23:04
James Dyson,Calum Harvey-Scholesrvision is the basis for guaranteeing the productive efficiency of coal mines. The safety supervisions were previously based on handcrafted models of reality. Nowadays, they are able to be achieved using data-driven learning approaches. Hence, to improve the supervision performance in consideration 作者: 表示向前 時間: 2025-3-22 02:09
Wolfgang Haupt,Peter Eckersley,Kristine Kernearning that trains a model for making predictions or decisions without being explicitly programmed. The computing workers in federated learning provide training for the model at the edges of network where the data are stored. Thus, they can control the data and decide whether and when participating作者: 送秋波 時間: 2025-3-22 05:07
Design of AAV Vectors for Delivery of RNAiof ma-chine health. In this paper, the deep learning network Variational Auto-Encoder (VAE) and Long Short-Term Memory (LSTM) network are combined to solve the health problem of the dust removal fan. The deep learning network VAE can map the features of the data to hidden variables, and the LSTM net作者: 壓艙物 時間: 2025-3-22 08:50 作者: opportune 時間: 2025-3-22 16:56 作者: opportune 時間: 2025-3-22 20:07 作者: fleeting 時間: 2025-3-22 21:38
Dustin J. Hines,Philip G. Haydonds on the interactions between individuals and clinical professionals. Functional magnetic resonance imaging (fMRI) has been widely used in the study of brain function in patients with ASD, which provides a new way for the diagnosis of ASD. In this paper, we propose a convolutional neural network (C作者: Pericarditis 時間: 2025-3-23 02:14
Masahito Kawamura Jr.,David N. Ruskint of the Internet of Things are using the publish/subscribe model, which stipulates the one-to-many situation of nodes in the Internet of Things’ uses a publish/subscribe model to achieve communication, using Broker as a relay and topic as a designated transmission path to deliver information to sub作者: STERN 時間: 2025-3-23 06:59 作者: Medley 時間: 2025-3-23 09:52 作者: DAMN 時間: 2025-3-23 16:24
Robert M. Mentzer Jr.,Robert D. Lasleyon and commodity detection algorithm based on deep learning. To process videos in real-time, we apply depth separable convolution to modify the human pose estimation algorithm, reduce the size of convolution kernel, and fuse multi-stage information. To detect commodities, we construct a commodity de作者: 聽寫 時間: 2025-3-23 19:00
James M. Downey,Christof Weinbrenner machine, thing, method and environment) to improve productivity and intelligent level of factory. The industrial intelligent control system is the basis for realizing IIoT. It can enable industrial production with the abilities of autonomous decision-making and system autonomy. As an extension and 作者: 遺產(chǎn) 時間: 2025-3-24 01:25
Yochai Birnbaum,Robert A. Kloneris paper, we borrow the hard-disk sector idea to sectorize the whole coverage of a dense network and hence propose a Wi-Fi sector (Wi-Sector) design to solve the collision problem fundamentally. With Wi-Sector, the access point (AP) first silences all nodes, and then activates each sector sequential作者: Spinal-Fusion 時間: 2025-3-24 02:44 作者: seruting 時間: 2025-3-24 08:27 作者: Brochure 時間: 2025-3-24 13:15 作者: 正式演說 時間: 2025-3-24 15:38 作者: overshadow 時間: 2025-3-24 21:38 作者: terazosin 時間: 2025-3-25 01:39
Machinery Health Prognostics of Dust Removal Fan Data Through Deep Neural Networksof ma-chine health. In this paper, the deep learning network Variational Auto-Encoder (VAE) and Long Short-Term Memory (LSTM) network are combined to solve the health problem of the dust removal fan. The deep learning network VAE can map the features of the data to hidden variables, and the LSTM net作者: podiatrist 時間: 2025-3-25 06:51
Numeric CNNs: CNNs for Reading Numeric Characters on Meterspicture collection and image recognition. Previous works treat meter reading as a problem of image classification. They only focus on the accuracy of classification but ignore numerical accuracy, which is the measurement’s essential performance. In this paper, we address that the meter reading is a 作者: 圍裙 時間: 2025-3-25 10:23
DeepTSW: An Urban Traffic Safety Warning Framework Based on Bayesian Deep Learningdditional features and machine learning models, mainly considering whether accidents can be accurately predicted, but these work cannot be well integrated with smart cities. In order to better apply traffic safety warning to smart cities, we propose a traffic safety warning framework based on Bayesi作者: indignant 時間: 2025-3-25 12:10 作者: constellation 時間: 2025-3-25 19:50 作者: 窩轉脊椎動物 時間: 2025-3-25 23:56 作者: Lineage 時間: 2025-3-26 01:45
Summarization of Coal Mine Accident Reports: A Natural-Language-Processing-Based Approachroblem of safety production. Correspondingly, a large number of coal mine accident reports have been generated. These reports detail the causes of safety accidents and the corresponding treatment measures, which have important guidance and reference for the handling of subsequent safety accidents. N作者: 獨白 時間: 2025-3-26 07:33 作者: BOAST 時間: 2025-3-26 11:52 作者: 卡死偷電 時間: 2025-3-26 13:13 作者: 尖牙 時間: 2025-3-26 19:07
Wi-Sector - A Novel Sector-Based WiFi Schedulingis paper, we borrow the hard-disk sector idea to sectorize the whole coverage of a dense network and hence propose a Wi-Fi sector (Wi-Sector) design to solve the collision problem fundamentally. With Wi-Sector, the access point (AP) first silences all nodes, and then activates each sector sequential作者: Audiometry 時間: 2025-3-26 22:45 作者: Digitalis 時間: 2025-3-27 04:02 作者: 創(chuàng)作 時間: 2025-3-27 05:21 作者: Asparagus 時間: 2025-3-27 12:55
Conference proceedings 2020ng, China, in December 2020.*.The 13 full papers presented were carefully reviewed and selected from 36 submissions. The papers are grouped in the following topics: machine learning and ubiquitous and intelligent computing...*. The conference was held virtually due to the COVID-19 pandemic..作者: exhilaration 時間: 2025-3-27 15:37 作者: 大罵 時間: 2025-3-27 19:11
Conference proceedings 2020l Conference on Cyber-Living, Cyber-Syndrome, and Cyber-Health, CyberLife 2020, held under the umbrella of the 2020 Cyberspace Congress, held in Beijing, China, in December 2020.*.The 13 full papers presented were carefully reviewed and selected from 36 submissions. The papers are grouped in the fol作者: 防銹 時間: 2025-3-27 23:43
1865-0929 ternational Conference on Cyber-Living, Cyber-Syndrome, and Cyber-Health, CyberLife 2020, held under the umbrella of the 2020 Cyberspace Congress, held in Beijing, China, in December 2020.*.The 13 full papers presented were carefully reviewed and selected from 36 submissions. The papers are grouped 作者: 離開就切除 時間: 2025-3-28 05:25
Design of AAV Vectors for Delivery of RNAisolve the health problem of the dust removal fan. The deep learning network VAE can map the features of the data to hidden variables, and the LSTM network can extract the time dependence between the data. Experiments show that the VAE-LSTM network is suitable for dust removal fans and has a good effect.作者: gait-cycle 時間: 2025-3-28 09:56
Wolfgang Haupt,Peter Eckersley,Kristine Kernts process. The experimental results demonstrate that the centralized machine learning often receives a far better training result under the same number of training samples compared with federated learning. Furthermore, increasing the communication frequency between the server and clients can improve the learning result.作者: 尋找 時間: 2025-3-28 14:30 作者: Hamper 時間: 2025-3-28 15:40
Iterative Optimization for Edge Federated Learningts process. The experimental results demonstrate that the centralized machine learning often receives a far better training result under the same number of training samples compared with federated learning. Furthermore, increasing the communication frequency between the server and clients can improve the learning result.作者: 乏味 時間: 2025-3-28 19:42
DeepTSW: An Urban Traffic Safety Warning Framework Based on Bayesian Deep Learningccident risk grade evaluation. The experimental results of actual traffic data show that our traffic accident prediction model is superior to the four baseline models, and DeepTSW can effectively reflect the actual accident risk.作者: 微塵 時間: 2025-3-29 01:50
Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and HealthInternational 2020 C作者: indicate 時間: 2025-3-29 05:19 作者: 重疊 時間: 2025-3-29 07:54 作者: anesthesia 時間: 2025-3-29 14:30 作者: 侵略者 時間: 2025-3-29 16:11
Classification of Autism Based on fMRI Data with Feature-Fused Convolutional Neural Networklly, several experiments are carried out on the ABIDE (Autism Brain Imaging Data Exchange) datasets to test the performance of our proposed method. The fused feature CNN model is compared with the CNN model with only FC or ALFF features; it is also compared with three traditional machine learning me作者: Rct393 時間: 2025-3-29 22:13
Topic Logistics Based on Node Resource Statusossible data communication paths. It is verified through experiments that this algorithm can realize node resources. The full utilization of, thereby reducing communication energy consumption and improving transmission efficiency.作者: 冬眠 時間: 2025-3-30 03:44
Summarization of Coal Mine Accident Reports: A Natural-Language-Processing-Based Approachreports. Firstly, after analyzing the overall text framework of the coal mine accident report, the general text structure is presented accordingly. Then, on the basis of it, combining with the TextRank method and Word2vec technique in NLP, the report text structure is optimized, and the report summa作者: Processes 時間: 2025-3-30 04:58 作者: 最初 時間: 2025-3-30 10:04
Research on Human Pose Estimation and Object Detection in the Field of Unmanned Retailal scenarios, it can determine whether the user purchased the product. This method which only uses computer vision for judgment is convenient to deploy and further development of unmanned retail. Research results have been applied to brick-and-mortar stores.作者: 休閑 時間: 2025-3-30 13:23 作者: 想象 時間: 2025-3-30 17:42
James Dyson,Calum Harvey-Scholes of discovering the relationship in data, the unsupervised Apriori learning algorithm is also developed to mine these association rules in coal mine data. The presented scheme, named machine learning-based safe supervision (MLSS), is experimentally validated by using actual data collected from some 作者: 哄騙 時間: 2025-3-31 00:18
Design of AAV Vectors for Delivery of RNAindard dataset and carry dataset. The N-CNNs establishes new state-of-the-art metrics both on regression and classification. Notably, the numerical precision of N-CNNs outperforms the classification-based methods. The numerical accuracy of the model has one order of magnitude higher than other models作者: 艦旗 時間: 2025-3-31 04:12
Einleitung und Problemstellung,e current learning task, so as to eliminate redundant information and noise; finally constructing a multimodal joint shared feature semantic model and applying in the field of packaging sorting. Experimental results show that the proposed model has significant effects and is significantly better tha作者: Cardiac 時間: 2025-3-31 06:16
