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A Novel Family of CDF Estimators Under PPS Sampling: Computational, Theoretical, and Applied Perspectives por Shah, Salman, Mahmoudi, Eisa, Iftikhar, Hasnain, Rodrigues, Paulo Canas, Gonzales Medina, Ronny Ivan, López Gonzales, Javier Linkolk

“…In terms of accuracy, the best-performing proposed estimator achieves an MSE of 0.0012, compared to 0.0127 for the widely used GK estimator. …”
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Global Shocks and Local Fragilities: A Financial Stress Index Approach to Pakistan’s Monetary and Asset Market Dynamics por Yousfani, Kinza, Iftikhar, Hasnain, Rodrigues, Paulo Canas, Torres Armas, Elías A., López Gonzales, Javier Linkolk

“…The index is externally validated through comparisons with the U.S. STLFSI4, the Global Economic Policy Uncertainty (EPU) Index, the Geopolitical Risk (GPR) Index, and the OECD Composite Leading Indicator (CLI). …”
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Modeling Air Pollution in Metropolitan Lima: A Statistical and Artificial Neural Network Approach por Solis Teran, Miguel Angel, Leite Coelho da Silva, Felipe, Torres Armas, Elías A., Carbo‐Bustinza, Natalí, López Gonzales, Javier Linkolk

“…PM10 is a pollutant composed of particles smaller than 10 µm. …”
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A new auxiliary variables-based estimator for population distribution function under stratified random sampling and non-response por Ahmad, Sohail, Iftikhar, Hasnain, Qureshi, Moiz, Khan, Ilyas, Omer, Abdoalrahman S. A., Torres Armas, Elías A., López Gonzales, Javier Linkolk

“…To achieve this goal in the condition of both sampling techniques, we introduce the use of a study variable and two auxiliary variables (mean and ranks). …”
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A novel hybrid framework for forecasting stock indices based on the nonlinear time series models por Iftikhar, Hasnain, Khan, Faridoon, Torres Armas, Elías A., Rodrigues, Paulo Canas, López Gonzales, Javier Linkolk

“…This study presents a new hybrid forecasting system to enhance the accuracy and efficiency of predicting stock market trends. …”
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A Holistic Maturity Model for Quality Assessment and Innovation in Peruvian Universities por Tocto Cano, Esteban, Paz Collado, Sandro, López Gonzales, Javier Linkolk

“…It contributes to Education 4.0 through the IT strategic alignment practices of the enabling governance dimension, promoting the implementation of personalized teaching methods and hybrid learning models. …”
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Diseño de una boya multiparamétrica autónoma con energía fotovoltaica y comunicación remota basada en IoT para entornos de acuicultura por Levano Rodriguez, Danny, Gonzales Garay, Jhon Harol, Lévano-Casildo, Matias, López Gonzales, Javier Linkolk

Materias: “…acuicultura 4.0…”
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Time series forecasting via integrating a filtering method: an application to electricity consumption por Leite Coelho da Silva, Felipe, da Silva Cordeiro, Josiane, da Costa, Kleyton, Saboya Rios, Nemias, Canas Rodrigues, Paulo, López Gonzales, Javier Linkolk

“…Analysis and forecasting of the industrial sector electricity consumption is important for energy planning and control, in addition to being essential for the developing of a country or region. …”
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Daily Crude Oil Prices Forecasting Using a Novel Hybrid Time Series Technique por Iftikhar, Hasnain, Qureshi, Moiz, Canas Rodrigues, Paulo, Usman Iftikhar, Muhammad, López Gonzales, Javier Linkolk, Iftikhar, Hasnain

“…Specifically, an MAE of 1.28106, an RMSE of 1.59259, a PCC of 0.94158, and a DS of 0.82149 are obtained for the Brent and WTI oil markets when the Lowess regression and NPAR models are combined. …”
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Performance of Classification Algorithms Under Class Imbalance: Simulation and Real-World Evidence por Arshad, Iqra, Umair, Muhammad, Jan, Faheem, Iftikhar, Hasnain, Canas Rodrigues, Paulo, Ivan Gonzales Medina, Ronny, López Gonzales, Javier Linkolk

“…Importantly, we identify a practical threshold for minority class representation: classifier sensitivity declines sharply when positive samples fall below approximately 25–30%. …”
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Air Quality Prediction Based on Singular Spectrum Analysis and Artificial Neural Networks por López Gonzales, Javier Linkolk, Salas, Rodrigo, Velandia, Daira, Canas Rodrigues, Paulo

“…This study proposes to improve the precision in the prediction of air quality. For this purpose, a hybrid adaptation is considered. It is based on an integration of the singular spectrum analysis and the recurrent neural network long short-term memory; the SSA is applied to the original time series to split signal and noise, which are then predicted separately and added together to obtain the final forecasts. …”
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Comparison Between Hierarchical Time Series Forecasting Approaches for the Electricity Consumption in the Brazilian Industrial Sector por Mesquita Lopes Cabreira, Marlon, Leite Coelho da Silva, Felipe, da Silva Cordeiro, Josiane, Ureta Tolentino, Jeremias Macias, Carbo‐Bustinza, Natalí, Canas Rodrigues, Paulo, López Gonzales, Javier Linkolk

“…The results showed that the bottom‐up approach integrated with the Long Short‐Term Memory (LSTM) model provided the best predictions and outperformed the other hierarchical forecasting approaches with an average MAPE of less than 3%.…”
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Short-term PM2.5 forecasting using a unique ensemble technique for proactive environmental management initiatives por Iftikhar, Hasnain, Qureshi, Moiz, Zywiołek, Justyna, López Gonzales, Javier Linkolk, Albalawi, Olayan

Materias: “…short-term PM 2.5 forecasting…”
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Implementing the SDGs in Higher Education: A Systematic Review por Perez Carpio, Jackson Edgardo, López Gonzales, Javier Linkolk, Tocto Cano, Esteban, Turpo Chaparro, Josue Edison

“…It was concluded that research on SDG implementation in universities is limited, which can be attributed to the pandemic, lack of demand, and insufficient implementation of international policies regarding SDG compliance. Received: 16 March 2024 / Accepted: 15 August 2024 / Published: 05 September 2024…”
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Electricity consumption forecasting using a novel homogeneous and heterogeneous ensemble learning por Iftikhar, Hasnain, Zywiołek, Justyna, López Gonzales, Javier Linkolk, Albalawi, Olayan

“…Additionally, the heterogeneous ensemble model is statistically significant (p &lt; 0.05) and superior to the rest of the models. …”
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Optimal features selection in the high dimensional data based on robust technique: Application to different health database por Hussain, Ibrar, Qureshi, Moiz, Ismail, Muhammad, Iftikhar, Hasnain, Zywiołek, Justyna, López Gonzales, Javier Linkolk

“…By dividing the SNR value of each gene by its significant P-value, the Md score is calculated. …”
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Modeling and Analysis of Monkeypox Outbreak Using a New Time Series Ensemble Technique por Meza Cuba, Wilfredo, Huaman Alfaro, Juan Carlos, Iftikhar, Hasnain, López Gonzales, Javier Linkolk

“…Using the best ensemble model, a forecast is made for the next 28 days (four weeks), which will help understand the spread of the disease and the associated risks. …”
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A Hybrid Approach for Hierarchical Forecasting of Industrial Electricity Consumption in Brazil por Mesquita Lopes Cabreira, Marlon, Leite Coelho da Silva, Felipe, da Silva Cordeiro, Josiane, Serrano Hernández, Ronald Miguel, Canas Rodrigues, Paulo, López Gonzales, Javier Linkolk

“…Energy planning in this sector is important mainly due to its economic, social, and environmental impact. …”
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Modeling and forecasting carbon dioxide emission in Pakistan using a hybrid combination of regression and time series models por Iftikhar, Hasnain, Khan, Murad, Żywiołek, Justyna, Khan, Mehak, López Gonzales, Javier Linkolk

“…The findings confirmed that the proposed hybrid combination forecasting technique is highly accurate and efficient in forecasting CO2 emissions. Likewise, according to the proposed final optimal hybrid combination forecasting model, Pakistan&apos;s per capita CO2 emissions will be 1.130215 metric tons in 2030. …”
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Bayesian Spatio-Temporal Modeling of the Dynamics of COVID-19 Deaths in Peru por Castro Galarza, César Raúl, Díaz Sánchez, Omar Nolberto, Pimentel, Jonatha Sousa, Bulhões, Rodrigo, López Gonzales, Javier Linkolk, Rodrigues, Paulo Canas

Materias: “…Covid-19…”
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