Titlebook: Intelligent Technologies for Interactive Entertainment; 13th EAI Internation Zhihan Lv,Houbing Song Conference proceedings 2022 ICST Instit

Ejaculation

書(shū)目名稱Intelligent Technologies for Interactive Entertainment影響因子(影響力)




書(shū)目名稱Intelligent Technologies for Interactive Entertainment影響因子(影響力)學(xué)科排名




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書(shū)目名稱Intelligent Technologies for Interactive Entertainment網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Intelligent Technologies for Interactive Entertainment被引頻次




書(shū)目名稱Intelligent Technologies for Interactive Entertainment被引頻次學(xué)科排名




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書(shū)目名稱Intelligent Technologies for Interactive Entertainment年度引用學(xué)科排名




書(shū)目名稱Intelligent Technologies for Interactive Entertainment讀者反饋




書(shū)目名稱Intelligent Technologies for Interactive Entertainment讀者反饋學(xué)科排名

Expertise

magnanimity

Enterprise Economic Forecasting Method Based on ARIMA-LSTM Model economic data of enterprises, ARIMA-LSTM model is used to predict the future economic development of enterprises. Comparing the prediction results with ARIMA model and ARIMA-LSTM model without IOT data, it is found that the model has the smallest RMSE, MAE and MAPE. The results show that the model

deforestation

要控制

seruting

Review of Gamified MOOC’s Impact Toward Learner’s Motivation in Learning Effectiveness Contextective of user information behaviour, this paper follows the logical route of “motivation-behaviour” and analyse the perceptual challenge and perceptual attention, learning results and cognitive user participation. From the MOOC context, this paper discusses the technical application factors that af

痛打

抗原

The Dynamic Scattering Coefficient on Image Dehazing Method with Different Haze Conditionset by simulating synthetic haze in images of outdoor scenes. The synthetic haze simulation is based on the meteorological range and works on specific haze conditions. In addition, this paper introduced a dynamic scattering coefficient to the dehazing algorithm to determine the appropriate visibility

人充滿活力

制定法律

Federated Parking Flow Prediction Method Based on Blockchain and IPFSe improvement contribution is designed. The experimental results show that the method can improve the generalization performance of the model and improve the training efficiency of the parking flow prediction model, and provide a reasonable reward allocation.