View of the Ancient Arima Spa, Taken from the North Looking South. Visitors Crossed Taikobashi Bridge, Visible in the Background, and Proceeded to the Left ( ...
0000 - Gale Group | NCCO Photography
Produção Nacional
Revisado por pares
Renata Rojas Guerra, Anna Vizziello, Pietro Savazzi, Emanuele Goldoni, Paolo Gamba,
... forecasting. Nevertheless, the classical autoregressive integrated moving average (ARIMA) model can be an attractive alternative due to ... Therefore, this work proposes a comparative study of ARIMA, AI, and hybrid approaches to forecast the RSSI ... LSTM). Also, hybrid models are constructed, coupling the ARIMA with them. The models are evaluated in time ... among weather parameters, and negatively affects RSSI. The ARIMA model that uses only the temperature as a regressor provides consistently better fits than the ARIMA without regressors. Moreover, coupling the ARIMA with the ...
Tópico(s): IoT and GPS-based Vehicle Safety Systems
2024 - Elsevier BV | Computer Networks
Arima Hot Springs, Located in the Basin to Middle of the North of Rokko Mountains, Is One ...
0000 - Gale Group | NCCO Photography
Stephen Siamba, Argwings Otieno, Julius Koech,
... few studies have used Autoregressive Integrated Moving Average (ARIMA), and hybrid ARIMA models to model infectious diseases globally. We applied ARIMA, and hybrid ARIMA models to predict and forecast TB incidences among ... Homa Bay and Turkana Counties in Kenya. The ARIMA, and hybrid models were used to predict and ... Counties between 2012 and 2021. The best parsimonious ARIMA model that minimizes errors was selected based on a rolling window cross-validation procedure. The hybrid ARIMA-ANN model produced better predictive and forecast accuracy ...
Tópico(s): Stock Market Forecasting Methods
2023 - Public Library of Science | PLOS Digital Health
It Was during the Nara Period That a Silver Mine Was Found around the Area of Ikuno Pass Which Connects Harima and Tanba. The Edo Bakufu Put Efforts into ...
0000 - Gale Group | NCCO Photography
Soumik Ray, Achal Lama, Pradeep Mishra, Tufleuddin Biswas, Soumitra Sankar Das, Bishal Gurung,
... statistical models such as Autoregressive Integrated Moving Average (ARIMA) and ARIMA-Generalised Autoregressive Conditional Heteroscedasticity (GARCH) models. Further, an improved hybrid ARIMA-Long Short-Term Memory (LSTM) model based on ... random forest lag selection criterion has been introduced. ARIMA model has been used to estimate the mean ... is employed with the residuals obtained from the ARIMA model to estimate the volatile behaviour of the series. ARIMA-GARCH models act as superior statistical models over ...
Tópico(s): Spectroscopy and Chemometric Analyses
2023 - Elsevier BV | Applied Soft Computing
An Overall View of the Basin Where the Hot Springs Are Located, with the Congested Clusters of Houses. Color. width 136 mm x height 91 mm. Series: Collection ...
0000 - Gale Group | NCCO Photography
Jawaria Nasir, Muhammad Aamir, Zahoor Ul Haq, Shehzad Khan, Muhammad Yusuf Amin, Muhammad Naeem,
... on local mean decomposition, Autoregressive Integrated Moving Average (ARIMA), and Long Short-term Memory (LSTM) models to ... forecasting accuracy, predict each individual reconstructed component by ARIMA, and integrate the residuals with LSTM to capture ... prediction result. The new hybrid model LMD-SD-ARIMA-LSTM has reduced the volatility and solved the ... MAE) and Mean Absolute Percentage Error (MAPE) for ARIMA, LSTM, LMD-ARIMA, LMD-SD-ARIMA, LMD-ARIMA-LSTM, LMD-SD-ARIMA-LSTM, and Naïve are 1.00, 1.539, ...
Tópico(s): Energy Load and Power Forecasting
2023 - Institute of Electrical and Electronics Engineers | IEEE Access
Arima Kaido Started from Osaka (Itami), Leading to Akura, Kohama, Maitani of the Present Takarazuka City of Hyogo Prefecture to Arima. It Was Used from Ancient Days by Guests ...
0000 - Gale Group | NCCO Photography
Samuel Chukwujindu Nwokolo, Anthony Umunnakwe Obiwulu, Julie C. Ogbulezie, Solomom Okechukwu Amadi,
... of GP with auto-regression integrated moving average (ARIMA) is essential in regions of Southern Africa and ... elements were assembled to stimulate their hybrid evolutionary ARIMA-GP controlled, swapped model through the instrumentality of ... for modeling. The result revealed that the swapped ARIMA models outperformed the controlled and controlled ARIMA models using Gumbel's numerical approach. The best min beam and diffuse irradiance frocontrolled ARIMA models were probabilistically optimized using the Gumbel (GP) ...
Tópico(s): Energy and Environment Impacts
2022 - Elsevier BV | Cleaner Engineering and Technology
Monochrome. width 278 mm x height 217 mm.
0000 - Gale Group | NCCO Photography
Li Cai, Agyemang Kwasi Sampene, Fredrick Oteng Agyeman, Robert Brenya, Abraham Lincoln Ayisi,
... The study used the Autoregressive Integrated Moving Average (ARIMA) model to forecast coronavirus incidence in the UK, South Africa, Brazil, and Nigeria. ARIMA models with minimum Akaike Information Criterion Correction (AICc) ... this research. Accordingly, for the new confirmed cases, ARIMA (3,1,14), ARIMA (0,1,11), ARIMA (1,0,10), and ARIMA (1,1,14) models were chosen for the ... model specification for the confirmed death cases was ARIMA (3,0,4), ARIMA (0,1,4), ARIMA (1,0,7), and ARIMA (Brown); models were ...
Tópico(s): COVID-19 Pandemic Impacts
2022 - Hindawi Publishing Corporation | Computational and Mathematical Methods in Medicine
Midzoono Idzoomino Kami, Hakoora Ioowono Kami, Inowooyay Kawatino Kami, Arima Jotomino Kami,
... Idzoomino Kami, Hakoora Ioowono Kami, Inowooyay Kawatino Kami, Arima Jotomino Kami. Yedo.
0000 - Gale Group | NCCO AsiaWest
Yongchao Jin, Renfang Wang, Xiaodie Zhuang, Kenan Wang, Honglian Wang, Chenxi Wang, Xiyin Wang,
... high complexity of epidemic data, we adopted an ARIMA-LSTM combined model to describe and predict future transmission. A new method of the ARIMA-LSTM model paralleling by weight of regression coefficient was proposed. Then, we used the ARIMA-LSTM model paralleling by weight of regression coefficient, ARIMA model, and ARIMA-LSTM series model to predict the epidemic data in China, and we found that the ARIMA-LSTM model paralleling by weight of regression coefficient had the best prediction accuracy. In the ARIMA-LSTM model paralleling by weight of regression coefficient, ...
Tópico(s): COVID-19 Pandemic Impacts
2022 - Multidisciplinary Digital Publishing Institute | Mathematics
Midzano Idzumino Nami, Jtakura Suwono Kami, Jnowaye Kaurtisno Kami, Arima Tutumino Kami,
... Idzumino Nami, Jtakura Suwono Kami, Jnowaye Kaurtisno Kami, Arima Tutumino Kami. Yedo.
0000 - Gale Group | NCCO AsiaWest
Sarita Sheoran, Sumanta Pasari,
... the efficacy and applicability of the Window-Sliding ARIMA (WS-ARIMA) method for daily and weekly forecasting of wind speed. The WS-ARIMA technique with a fixed or variable window length ... method to obtain the optimal parameters of the ARIMA model; (3) we implement the WS-ARIMA method for both daily and weekly wind speed data and compare the results with the conventional ARIMA model, and (4) finally, we perform a residual ... different locations in India reveal that the WS-ARIMA method consistently outperforms the conventional ARIMA method. The ...
Tópico(s): Wind Energy Research and Development
2022 - American Institute of Physics | Journal of Renewable and Sustainable Energy
... To All Japanese Merchants Trading With Foreigners By Arima Totomi No Kami, Member Of The George. Letter.
0000 - Gale Group | NCCO AsiaWest
Rui Zhang, Hejia Song, Qiulan Chen, Yu Wang, Songwang Wang, Yonghong Li,
... fever incidence in China.Autoregressive Integrated Moving Average (ARIMA) and Long Short-Term Memory Neural Network (LSTM) ... in 2019 to examine their stability and applicability.ARIMA (2, 1, 1) (0, 1, 1)12, ARIMA (1, 1, 3) (1, 1, 1)52 and ARIMA (5, 0, 1) were selected as the best fitting ARIMA model for monthly, weekly and daily incidence series, ... those of the direct forecasting models for both ARIMA and LSTM. It was shown from the forecasting performance in 2019 that ARIMA was better than LSTM for monthly and weekly ...
Tópico(s): Disaster Management and Resilience
2022 - Public Library of Science | PLoS ONE
... 2271 (Shinkoji Temple), #4092 (Mt. Suwa), and #4094 (Arima Spa) in the Mid-Meiji Period. Visitors Normally ...
0000 - Gale Group | NCCO Photography
Zhixin Zhu, Xiaoxia Zhu, Yancen Zhan, Lanfang Gu, Liang Chen, Xiuyang Li,
... four methods, namely, the autoregressive integrated moving average (ARIMA) model, Elman neural network (ERNN) model, ARIMA-ERNN hybrid model and long short-term memory ( ... gonorrhea has declined in recent years. The optimal ARIMA models were determined: ARIMA(2,1,2)(0,1,1)12, ARIMA(1,1,2)(0,1,2)12, and ARIMA(3,1,2)(1,1,2)12 for AIDS, gonorrhea, and syphilis 1-year prediction, respectively; ARIMA (2,1,2)(0,1,1)12, ARIMA(1,1,2)(0,1,2)12, and ARIMA(2,1,1)(0,1,0)12 for ... respectively. For 1-year prediction, the MAPEs of ARIMA, ERNN, ARIMA-ERNN, and LSTM for AIDS are ...
Tópico(s): Animal Disease Management and Epidemiology
2022 - Frontiers Media | Frontiers in Public Health
... as #3307 (Nunobiki Medaki), #4092 (Suwayama), and #4094 (Arima Spa) in the Lacquered Album (Kobe Municipal Museum). ...
0000 - Gale Group | NCCO Photography
Meng Wang, Jinhua Pan, Xinghui Li, Mengying Li, Zhixi Liu, Qi Zhao, Linyun Luo, Haiping Chen, Sirui Chen, Feng Jiang, Liping Zhang, Weibing Wang, Ying Wang,
... Objective To compare an autoregressive integrated moving average (ARIMA) model with a model that combines ARIMA with the Elman recurrent neural network (ARIMA-ERNN) in predicting the incidence of pertussis in ... Chinese Center for Disease Control and Prevention. An ARIMA model was established using SAS (ver. 9.4) software and an ARIMA-ERNN model was established using MATLAB (ver. R2019a) ... and mean absolute percentage error (MAPE) of the ARIMA model, those of the ARIMA-ERNN model were 81.43%, 95.97% and ... Conclusion The fitting and prediction performances of the ARIMA-ERNN model were better than those of the ...
Tópico(s): Influenza Virus Research Studies
2022 - BioMed Central | BMC Public Health
General View of Arima Hot Spring, Settsu. Category: Scenes.
0000 - Gale Group | NCCO Photography
Zohreh Sheikh Khozani, Fatemeh Barzegari Banadkooki, Mohammad Ehteram, Ali Najah Ahmed, Ahmed El‐Shafie,
... overexploitation. The Auto-Regressive Integrated Moving Average model (ARIMA) is a widely known linear statistical model. One of the drawbacks of the ARIMA models is that they may not capture all ... article introduces a new hybrid model, namely the ARIMA-Long Short-Term Memory (LSTM) neural network, to ... Ardekn Plain in Iran. This study applied the ARIMA-LSTM in forecasting three-, six-, and nine-month- ... the first scenario, the residual values of the ARIMA model and the lagged GWL data were inserted ... scenario, the summation of the outputs of the ARIMA and LSTM models gave the final outputs. In ...
Tópico(s): Hydrology and Watershed Management Studies
2022 - Elsevier BV | Journal of Cleaner Production
Loshini Thiruchelvam, Sarat C. Dass, Vijanth Sagayan Asirvadam, Hanita Daud, Balvinder Singh Gill,
... two different models; the Autoregressive Integrated Moving Average (ARIMA) and Ensemble ARIMA models, using the Akaike Information Criterion (AIC) and ... Criterion (BIC) measurement to gauge their performance tools. ARIMA model is developed using the epidemiological data of dengue cases, whereas ensemble ARIMA incorporates the neighbouring regions’ dengue models as the exogenous variable (X), into traditional ARIMA model. Ensemble ARIMA models have better model fit compared to the basic ARIMA models by incorporating neighbuoring effects of seven districts ...
Tópico(s): Viral Infections and Vectors
2021 - Nature Portfolio | Scientific Reports
Mohammad Hadwan, Basheer Mohamad Al-Maqaleh, Fuad N. Al-Badani, Rehan Ullah Khan, Mohammed Abdullah Al-Hagery,
... is based on the autoregressive integrated moving average (ARIMA) statistical model; the second model is a back ... and the third model is a hybridization between ARIMA and BPNN (ARIMA/BPNN) and artificial neural networks and ARIMA (ARIMA/ANN) to gain the benefits of linear and ... CPI dataset was 5%, 71%, and 4% for ARIMA/BPNN model, ARIMA/ANN model, and BPNN model respectively; while the ... patients' dataset was 7%, 200%, and 19% for ARIMA/BPNN model, ARIMA/ANN model, and BPNN model respectively. Therefore, it ...
Tópico(s): Energy Load and Power Forecasting
2021 - | Computers, materials & continua/Computers, materials & continua (Print)
Peng Zhang, Farman Ullah Khan, Faridoon Khan, Parvez Ahmed Shaikh, Dai Yonghong, Ihsan Ullah, Farid Ullah,
... neural network (RNN), and autoregressive integrated moving average (ARIMA) on historical data. Moreover, we compared the extrapolative abilities of a hybrid of ARIMA with MLP and RNN models, which are called ARIMA‐MLP and ARIMA‐RNN. Because of the complicated and noisy nature ... learning techniques such as MLP and RNN with ARIMA model to predict the three stock market data. ... case of Pakistan, the findings show that the ARIMA‐MLP and ARIMA‐RNN beat the individual ARIMA, MLP, and RNN models in terms of accuracy. ...
Tópico(s): Complex Systems and Time Series Analysis
2021 - Hindawi Publishing Corporation | Complexity
... paper chooses to use Autoregressive Integrated Moving Average (ARIMA) model and feedback Support Vector Regression (SVR) models to effectively integrate the ARIMA model and the SVR model, taking into account ... chooses to use the (Autoregressive Integrated Moving Average (ARIMA) model and feedback Support Vector Regression (SVR) models to effectively integrate the strengths of the ARIMA and SVR models in terms of linearity and ... actions on it. In this paper, the combined ARIMA-SVR model is compared with the single ARIMA ...
Tópico(s): Market Dynamics and Volatility
2021 - Hindawi Publishing Corporation | Journal of Mathematics
Yong Duan, Huan Wang, Mingqiang Wei, Linjiang Tan, Tao Yue,
... production measures will affect the predicted results. Thus, ARIMA-RTS optimal smooth algorithm is the first applied ... processed, the production differential autoregressive integral moving average (ARIMA) model in time series is established, then ARIMA model is combined with RTS (Rauch Tung Striebel) ... for obtaining the smoothing solution. The correctness of ARIMA-RTS model was verified with the actual production ... The results show that the prediction based on ARIMA-RTS model can accurately reflect the production performance ...
Tópico(s): Oil and Gas Production Techniques
2021 - Elsevier BV | Petroleum
Mengmeng Zhai, Wenhan Li, Ping Tie, Xuchun Wang, Tao Xie, Hao Ren, Zhuang Zhang, Weimei Song, Dichen Quan, Meichen Li, Limin Chen, Lixia Qiu,
... 2007 to 2017. The autoregressive integrated moving average (ARIMA) model, a combined model of ARIMA and the back propagation neural network (ARIMA-BPNN), and a combined model of ARIMA and the Elman recurrent neural network (ARIMA-ERNN) were established separately to make predictions and ... The best fitting and prediction effect was the ARIMA-ERNN model. Compared with those of the ARIMA model, the MAE, MSE and MAPE of the ARIMA-ERNN model decreased by 18.65, 31.48 ... 64.35%, respectively. Second, compared with those of ARIMA-BPNN, the MAE, MSE and MAPE of ARIMA- ...
Tópico(s): Energy, Environment, Economic Growth
2021 - BioMed Central | BMC Infectious Diseases