Výsledky vyhľadávania - "Abonazel, Mohamed R."

Air quality forecasting using a modified statistical approach: Combining statistical and machine learning methods.

Autori: Ali, Mohamed C. Mohamed Ebrahim, Ehab Ebrahim Abonazel, Mohamed R.

Zdroj: International Journal of Innovative Research & Scientific Studies; 2025, Vol. 8 Issue 4, p1321-1335, 15p

Predmety: MACHINE learning, SUSTAINABILITY, STATISTICAL learning, HEALTH planning, AIR quality

An unbiased ridge estimator for the poisson regression model: Method, simulation, and application to plywood quality.

Autori: Alheety, Mustafa I. Mohamed Ebrahim, Ehab Ebrahim Abonazel, Mohamed R. a ďalší

Zdroj: International Journal of Innovative Research & Scientific Studies; 2025, Vol. 8 Issue 5, p1789-1801, 13p

Predmety: POISSON regression, REGRESSION analysis, GOODNESS-of-fit tests, ESTIMATION bias, MULTICOLLINEARITY

On new ridge estimators of the Conway-maxwell Poisson model in the case of highly correlated predictor variables: Application to plywood quality data.

Autori: Abonazel, Mohamed R. Mohamed Ebrahim, Ehab Ebrahim Saber, Ashrakat Adel a ďalší

Zdroj: International Journal of Innovative Research & Scientific Studies; 2025, Vol. 8 Issue 5, p603-614, 12p

Predmety: INDEPENDENT variables, REGRESSION analysis, PARAMETER estimation, MULTICOLLINEARITY, SUSTAINABILITY

Empowering global ethereum price prediction with EtherVoyant: a state-of-the-art time series forecasting model.

Autori: Islam, Umar Shah, Babar Al-Atawi, Abdullah A. a ďalší

Zdroj: Neural Computing & Applications; Oct2025, Vol. 37 Issue 29, p23683-23706, 24p

Predmety: CRYPTOCURRENCIES, BLOCKCHAINS, FORECASTING, FORECASTING methodology, ECONOMIC forecasting, BOX-Jenkins forecasting

New robust estimators for the fixed effects negative binomial model: a simulation and real-world applications to European panel data.

Autori: Abonazel, Mohamed R. Ebrahim, Ehab Ebrahim Mohamed Ahmed, Elsayed G. a ďalší

Zdroj: Frontiers in Applied Mathematics & Statistics; 2025, p1-12, 12p

Predmety: FIXED effects model, ROBUST statistics, OUTLIERS (Statistics), DEVIATION (Statistics), COVID-19 pandemic, PANEL analysis, COMPUTER simulation

Geografický termín: EUROPE

Revisiting inference for ARMA models: Improved fits and superior confidence intervals.

Autori: Wheeler, Jesse Ionides, Edward L.

Zdroj: PLoS ONE; 10/24/2025, Vol. 20 Issue 10, p1-19, 19p

Predmety: TIME series analysis, OPTIMIZATION algorithms, CONFIDENCE intervals, MOVING average process, PARAMETER estimation, MAXIMUM likelihood statistics, STATISTICS methodology

Investigating the Effectiveness of Novel Support Vector Neural Network for Anomaly Detection in Digital Forensics Data.

Autori: Islam, Umar Alwageed, Hathal Salamah Farooq, Malik Muhammad Umer a ďalší

Zdroj: Sensors (14248220); Jun2023, Vol. 23 Issue 12, p5626, 18p

Predmety: DIGITAL forensics, SUPPORT vector machines, ANOMALY detection (Computer security), DIGITAL technology, CRIMINAL behavior, METADATA

A New Noise Shaping Approach for Sigma-Delta Modulators Using Two-Stage Feed-Forward Delays and Hybrid MASH-EFM.

Autori: Ijaz, Khalid Adnan, Muhammad Toor, Waqas Tariq a ďalší

Zdroj: Electronics (2079-9292); Feb2023, Vol. 12 Issue 3, p740, 17p

Predmety: LIMIT cycles, NOISE, TRANSFER functions, HYBRID systems, SUSTAINABLE architecture, DELTA-sigma modulation, FORWARD error correction

Hybrid time series and ANN-based ELM model on JSE/FTSE closing stock prices.

Autori: Onalenna Moseane Johannes Tshepiso Tsoku Metsileng, Daniel a ďalší

Zdroj: Frontiers in Applied Mathematics & Statistics; 2024, p01-11, 11p

Predmety: STOCKS (Finance), MACHINE learning, ARTIFICIAL neural networks, STOCK prices, MOVING average process

The generalized STAR modeling with minimum spanning tree approach of spatial weight matrix.

Autori: Mukhaiyar, Utriweni Mahdiyasa, Adilan Widyawan Sari, Kurnia Novita a ďalší

Zdroj: Frontiers in Applied Mathematics & Statistics; 2024, p1-15, 15p

Predmety: STANDARD deviations, SPANNING trees, RESEARCH personnel, SPACETIME, DATA modeling

Driving Factors of NOx Emissions in China: Insights from Spatial Regression Analysis.

Autori: Abdelwahab, Mahmoud M. Shalaby, Ohood A. Semary, H. E. a ďalší

Zdroj: Atmosphere; Jul2024, Vol. 15 Issue 7, p793, 19p

Predmety: EMISSIONS (Air pollution), URBAN density, AIR pollution, ENVIRONMENTAL management, ELECTRIC power consumption

Geografický termín: CHINA

Enhancing Stock Price Prediction with Deep Cross-Modal Information Fusion Network.

Autori: Mandal, Rabi Chandra Kler, Rajnish Tiwari, Anil a ďalší

Zdroj: Fluctuation & Noise Letters; Apr2024, Vol. 23 Issue 2, p1-27, 27p

Predmety: STOCK prices, INFORMATION networks, DEEP learning, SOCIAL media, FORECASTING, MULTIGRAPH

Reviews & Products: WIKIPEDIA

Impact of parental education on number of under five children death per mother in Bangladesh.

Autori: Afroz, Farzana Akib, Md. Muddasir Hossain Pal, Bikash a ďalší

Zdroj: PLoS ONE; 2/10/2025, Vol. 20 Issue 2, p1-9, 9p

Predmety: CHILD mortality, CHILD death, DEMOGRAPHIC surveys, SOCIAL development, HEALTH surveys

A linear tessellation model for the identification of "food desert": A case study of Shanghai, China.

Autori: Wang, Lu He, Yakun Yu, Zhonghai a ďalší

Zdroj: PLoS ONE; 1/22/2025, Vol. 20 Issue 1, p1-29, 29p

Predmety: FOOD deserts, PROBABILITY density function, URBAN research, FOOD chemistry, HOME prices

Forecasting weekly dengue incidence in Sri Lanka: Modified Autoregressive Integrated Moving Average modeling approach.

Autori: Karasinghe, Nilantha Peiris, Sarath Jayathilaka, Ruwan a ďalší

Zdroj: PLoS ONE; 3/8/2024, Vol. 19 Issue 3, p1-16, 16p

Predmety: DENGUE, BOX-Jenkins forecasting, AKAIKE information criterion, FORECASTING, FENITROTHION

Geografický termín: SRI Lanka

Modified Two-Parameter Liu Estimator for Addressing Multicollinearity in the Poisson Regression Model.

Autori: Abdelwahab, Mahmoud M. Abonazel, Mohamed R. Hammad, Ali T. a ďalší

Zdroj: Axioms (2075-1680); Jan2024, Vol. 13 Issue 1, p46, 22p

Predmety: POISSON regression, MULTICOLLINEARITY, REGRESSION analysis, MAXIMUM likelihood statistics

Developing and validating of an English questionnaire to assess knowledge, attitudes, and practices regarding Marburg virus disease (EKAP-MVD): A cross-sectional study.

Autori: Hussein, Mohamed Fakhry Abdu, Ghazy Gebreal, Assem a ďalší

Zdroj: Medicine; 2/21/2025, Vol. 104 Issue 8, pe41571-e41571, 1p

Post-COVID-19 pandemic immunization coverage in Algerian children: A cross-sectional study.

Autori: Ghazy, Ramy Mohamed Abadi, Alsaleem Mohammed Salah, Assia a ďalší

Zdroj: Medicine; 2/21/2025, Vol. 104 Issue 8, pe41494-e41494, 1p

Principal fitted component framework for robust support vector regression based on bounded loss: A simulation study with potential applications.

Autori: Tahir, Aiman Ilyas, Maryam

Zdroj: PLoS ONE; 6/4/2025, Vol. 20 Issue 6, p1-27, 27p

Beta ridge regression estimators: simulation and application.

Autori: Abonazel, Mohamed R. Taha, Ibrahim M.

Zdroj: Communications in Statistics: Simulation & Computation; 2023, Vol. 52 Issue 9, p4280-4292, 13p

Predmety: MULTICOLLINEARITY, MONTE Carlo method, REGRESSION analysis, PERCENTILES