標(biāo)題: Titlebook: Computing and Data Science; Third International Weijia Cao,Aydogan Ozcan,Bei Guan Conference proceedings 2021 Springer Nature Singapore Pt [打印本頁] 作者: GUST 時間: 2025-3-21 19:00
書目名稱Computing and Data Science影響因子(影響力)
書目名稱Computing and Data Science影響因子(影響力)學(xué)科排名
書目名稱Computing and Data Science網(wǎng)絡(luò)公開度
書目名稱Computing and Data Science網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Computing and Data Science被引頻次
書目名稱Computing and Data Science被引頻次學(xué)科排名
書目名稱Computing and Data Science年度引用
書目名稱Computing and Data Science年度引用學(xué)科排名
書目名稱Computing and Data Science讀者反饋
書目名稱Computing and Data Science讀者反饋學(xué)科排名
作者: Heretical 時間: 2025-3-21 21:11 作者: airborne 時間: 2025-3-22 00:35
https://doi.org/10.1007/978-3-540-72228-1 of historical data is applied to verify the validity of the model. Meanwhile, this method is compared with linear regression model and deep neural networks, which are two popular models for data regression.作者: Forsake 時間: 2025-3-22 08:38 作者: 小故事 時間: 2025-3-22 11:58
Drought Level Prediction with Deep Learningistinguishing higher drought levels than other methods. Overall, we conclude that deep learning models have the best performance which exceeds machine learning, but under the current drought grade classification standards, the existing methods cannot distinguish the higher drought grades well.作者: 葡萄糖 時間: 2025-3-22 15:06
Car First or Pedestrian First? Motion Prediction and Planning in Human-Robot Interactions other models on the UCY data-set. We also conducted experiments to compare the resulting paths with our prediction and those with naive and simple linear prediction. The result showed that our system can effectively generate safe and efficient future paths for autonomous vehicles.作者: 葡萄糖 時間: 2025-3-22 20:56
Application of Graphical Convolutional Networks to the Safety Assessment of Container Ship Voyages of historical data is applied to verify the validity of the model. Meanwhile, this method is compared with linear regression model and deep neural networks, which are two popular models for data regression.作者: LEER 時間: 2025-3-22 22:56
Multi-channel Relation Modeling for Session-Based Recommendation with Self-supervised Learningupervised learning to maximizing mutual information between relationships. Our method fully leverages the possible complex structure in the data, which has a certain practical significance in the specific application.作者: 魅力 時間: 2025-3-23 02:00 作者: calamity 時間: 2025-3-23 06:30
Computing and Data Science978-981-16-8885-0Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: craving 時間: 2025-3-23 12:09
Conference proceedings 2021ugust 2021.?.The 22 full papers 9 short papers presented in this volume were thoroughly reviewed and selected from the 85 qualified submissions. They are organized in topical sections on advances in deep learning; algorithms in machine learning and statistics; advances in natural language processing..作者: negotiable 時間: 2025-3-23 17:28 作者: 有常識 時間: 2025-3-23 19:35
,The ‘Scientific Revolution’ in Biology,n shareholders to obtain profits through market transactions. In the literature, time series model, machine learning model and deep learning model are used for stock prediction. Because of the development of artificial intelligence, more and more advanced time series models have been proposed and ac作者: 斷言 時間: 2025-3-23 23:41 作者: mitten 時間: 2025-3-24 06:14 作者: Chandelier 時間: 2025-3-24 07:39
https://doi.org/10.1007/978-3-540-72228-1ecause of the periodic peak of travel demand. Congestion will bring inconvenience to passenger’s travel and increase the risk of accidents such as trampling. In this paper, a method based on LSTM neural network and AnyLogic is proposed to predict and prevent the occurrence of congestion in specific 作者: 個人長篇演說 時間: 2025-3-24 13:46 作者: 似少年 時間: 2025-3-24 15:59 作者: promote 時間: 2025-3-24 22:59
https://doi.org/10.1007/978-3-540-72228-1, causing the huge loss of personnel and economic decline around the world. To fight against this huge epidemic, relying on hospitals only to detect the such large number of people is obviously inefficient. Therefore, this paper proposes to relieve the pressure of medical workers through sound detec作者: 毛細(xì)血管 時間: 2025-3-25 00:15 作者: 萬靈丹 時間: 2025-3-25 05:57 作者: 雪崩 時間: 2025-3-25 09:46 作者: CLASH 時間: 2025-3-25 13:32
https://doi.org/10.1007/978-1-4615-0693-5 and efficient methods. The main purpose of quantization is to help DNNs’ deployment on embedded system, and we divide techniques into two categories: Post-training Quantization and Quantization-aware training. In addition, we also compare the results of different methods on two representative netwo作者: Feckless 時間: 2025-3-25 16:44
https://doi.org/10.1007/978-3-642-75194-3 content they are interested in. And session recommendation can help anonymous users without auxiliary information or historical interactions. However, previous methods only model a single data relationship. Ignoring the possible existence of chronological relationship, graph structured relationship作者: 抱怨 時間: 2025-3-25 23:47 作者: GORGE 時間: 2025-3-26 01:28 作者: 一罵死割除 時間: 2025-3-26 06:37
Chemie und Pharmakologie der Neuroleptikand diffusion are also observed. This paper did three numerical experiment using finite difference method (FDM) for trialing feasibility of FDM to solve 1, 2 and 3-dim convection-diffusion equation. We compared this equation’s numerical solution with its explicit solution and observed convection and 作者: 生銹 時間: 2025-3-26 11:17 作者: 駭人 時間: 2025-3-26 15:24 作者: Chivalrous 時間: 2025-3-26 17:51 作者: 等待 時間: 2025-3-26 23:17
The Scientific Status of Biology,, we carefully produce the probable directions of future video image denoising algorithms for better denoise performance including the combination of traditional and learning-based algorithms for different applications.作者: heartburn 時間: 2025-3-27 02:41
Epilogue on Future, Science, and Ethics,ng Short Term Memory network. Sequential information will be captured by using Bi-LSTM and hidden features will be captured at a detailed level using CNN. The model will be tested on large-scale datasets, which demonstrated better performance than conventional neural networks.作者: Comedienne 時間: 2025-3-27 06:29 作者: Malleable 時間: 2025-3-27 11:10 作者: 小說 時間: 2025-3-27 15:29 作者: 袖章 時間: 2025-3-27 21:28
Klinische Wirkungsprofile der Thioxanthenethe challenges of computing the posterior distribution. It focuses on six MCMC-based methods, such as the Metropolis-Hastings algorithm, Gibbs sampler, Reversible Jump MCMC, Hamiltonian Monte Carlo, Adaptive Metropolis, and preconditioned Crank-Nicolson. The advantages, limitations and applications of each algorithm are also briefly described.作者: adhesive 時間: 2025-3-27 22:59
Video Denoise Algorithms Research and Analysis, we carefully produce the probable directions of future video image denoising algorithms for better denoise performance including the combination of traditional and learning-based algorithms for different applications.作者: 哺乳動物 時間: 2025-3-28 03:42
Fake News Detection Based on a Bi-directional LSTM with CNNng Short Term Memory network. Sequential information will be captured by using Bi-LSTM and hidden features will be captured at a detailed level using CNN. The model will be tested on large-scale datasets, which demonstrated better performance than conventional neural networks.作者: 啞劇 時間: 2025-3-28 10:05
Prediction and Prevention of Metro Station Congestion Based on LSTM Neural Network and AnyLogicn is discovered based on AnyLogic simulations. The proposed method is expected to provide general suggestions for metro station managers. According to the simulation results, the proposed method can effectively alleviate the congestion in metro stations and reduce the probability of high passenger density areas.作者: FECK 時間: 2025-3-28 11:19 作者: 不適 時間: 2025-3-28 16:00
Polyp Segmentation Using Fully Convolutional Neural Network with Dropout and CBAMimization techniques: convoluted block attention module and dropout. We conducted and evaluated experiments with performance metrics and concluded that convoluted block attention module and dropout have positive influence on the model, and our optimized model has advantage over some state-of-art models.作者: UNT 時間: 2025-3-28 21:39 作者: cliche 時間: 2025-3-29 02:00 作者: 左右連貫 時間: 2025-3-29 06:22
Evaluation of Quantization Techniques for Deep Neural Networks Post-training Quantization and Quantization-aware training. In addition, we also compare the results of different methods on two representative networks in DNNs: Resnet and Mobilenet, and analyse some ablation study. Further more, the remaining questions and future direction are summarized to boost the development of quantization method.作者: Robust 時間: 2025-3-29 07:35
Evaluation of the Effectiveness of COVID-19 Prevention and Control Based on Modified SEIR Modeld by examinating Characteristic polynomial, and global stability is proved by constructing Lyapunov Function. In addition, the effect of the epidemic prevention measures are evaluated by numerical simulation. The research shows that the post exposure infection rate and quarantine rate are the most crucial parameters of this disease.作者: CUMB 時間: 2025-3-29 11:52 作者: 含水層 時間: 2025-3-29 18:21 作者: Facet-Joints 時間: 2025-3-29 20:18 作者: 燈絲 時間: 2025-3-30 01:54 作者: 贊成你 時間: 2025-3-30 07:48
https://doi.org/10.1007/978-1-4615-0693-5 Post-training Quantization and Quantization-aware training. In addition, we also compare the results of different methods on two representative networks in DNNs: Resnet and Mobilenet, and analyse some ablation study. Further more, the remaining questions and future direction are summarized to boost the development of quantization method.作者: Complement 時間: 2025-3-30 09:15
Klinische Wirkungsprofile der Thioxanthened by examinating Characteristic polynomial, and global stability is proved by constructing Lyapunov Function. In addition, the effect of the epidemic prevention measures are evaluated by numerical simulation. The research shows that the post exposure infection rate and quarantine rate are the most crucial parameters of this disease.作者: refraction 時間: 2025-3-30 15:39
Chemie und Pharmakologie der Neuroleptikae 1, 2 and 3-dim convection-diffusion equation. We compared this equation’s numerical solution with its explicit solution and observed convection and diffusion. In conclusion, we demonstrate the effectiveness of FDM.作者: duplicate 時間: 2025-3-30 16:47 作者: 兇殘 時間: 2025-3-30 21:40 作者: Archipelago 時間: 2025-3-31 03:45 作者: 揮舞 時間: 2025-3-31 08:42
Stock Market Movement Prediction: A Comparative Study Between Machine Learning and Deep Time Series r deep learning models for different horizon lengths. Our results show that deep learning models are more prone to over fitting than SVM and XGBoost models, and the result is not as good as traditional machine learning model.作者: homeostasis 時間: 2025-3-31 12:33 作者: 思想上升 時間: 2025-3-31 14:26 作者: sacrum 時間: 2025-3-31 18:01
Conference proceedings 2021ugust 2021.?.The 22 full papers 9 short papers presented in this volume were thoroughly reviewed and selected from the 85 qualified submissions. They are organized in topical sections on advances in deep learning; algorithms in machine learning and statistics; advances in natural language processing
