Daily Rainfall Characteristics in Sudan: Statistical Analysis and Modeling DOI
Youssef Kassem, Hüseyin Gökçekuş, Mohamed Hassan

et al.

Environmental earth sciences, Journal Year: 2024, Volume and Issue: unknown, P. 145 - 156

Published: Oct. 15, 2024

Language: Английский

IOT based prediction of rainfall forecast in coastal regions using deep reinforcement model DOI Creative Commons

J. Nithyashri,

Ravi Kumar Poluru, Subramanian Balakrishnan

et al.

Measurement Sensors, Journal Year: 2023, Volume and Issue: 29, P. 100877 - 100877

Published: Aug. 8, 2023

This research proposes an IoT based technique for predicting rainfall forecast in coastal regions using a deep reinforcement learning model. The proposed utilizes Long Short-Term Memory (LSTM) networks to capture the temporal dependencies between data collected from and prediction model parameters. is evaluated on dataset of India compared traditional methods forecasting. accuracy reliability these models are by comparing them prior models. Precipitation locations may be predicted with average 89% suggested model, as shown results. framework computationally efficient can trained little input. results this give strong evidence that effective tool precipitation

Language: Английский

Citations

12
Measuring the impact of healthcare service quality of hospitals on customer satisfaction DOI Creative Commons
Ririn Wulandari,

I Putu Doddy,

Lasmi Indaryani

et al.

Corporate and Business Strategy Review, Journal Year: 2024, Volume and Issue: 5(1, special Issue), P. 336 - 345

Published: Jan. 1, 2024

Various studies have been conducted to measure the level of service provided by an institution or service, including hospitals, in order determine customer satisfaction. The purpose this research is assess role quality services offered a hospital predicting This study was at Bunda Purwokerto Hospital. participants consisted 380 samples. Hypothesis testing using Smart PLS method yielded R-square value 0.413 for satisfaction variable. results H1 revealed favourable influence on outpatient patients original sample produced coefficient 0.130, t statistic 2.163 (> 1.96), and p-value 0.031 (< 0.05). relationship between trust job performance deemed positive significant, as evidenced t-statistic exceeding 1.96. confirms that improvement healthcare shapes patient loyalty. Aspects encompassing quality, such physical environment, customer-oriented atmosphere, responsiveness, effective communication, privacy maintenance, safety, demonstrate correlation with loyalty towards hospital’s image.

Language: Английский

Citations

4
Relating Urban Runoff with Soil Moisture, Temperature, Wind Speed and Vapor Pressure Using Artificial Neural Network: A Case Study of Mogadishu in Somalia DOI
Youssef Kassem, Hüseyin Gökçekuş, Ahmed Kadhim Hussein

et al.

Lecture notes in networks and systems, Journal Year: 2025, Volume and Issue: unknown, P. 68 - 75

Published: Jan. 1, 2025

Language: Английский

Citations

0
Off-Grid Rooftop Solar PV Systems for Sustainable Household Energy in Nahr El-Bared, Lebanon: An Experimental Study and Empirical Model Approach DOI
Youssef Kassem, Hüseyin Çamur,

Osama Abed Al Halim

et al.

Environmental earth sciences, Journal Year: 2025, Volume and Issue: unknown, P. 213 - 225

Published: Jan. 1, 2025

Language: Английский

Citations

0
Loss of survivorship in nasopharyngeal carcinoma attributable to fine particulate matter and its constituents DOI Creative Commons
Lin Xiao,

Yu-Chun Lin,

Yanan Jin

et al.

Ecotoxicology and Environmental Safety, Journal Year: 2025, Volume and Issue: 293, P. 118041 - 118041

Published: March 1, 2025

Nasopharyngeal carcinoma (NPC) is a prevalent malignant tumor in East Asia, particularly impacting China. The association between multiple constituents of fine particulate matter (PM2.5) and the survival time NPC patients remains unclear, which poses challenge for targeted public health interventions. An accelerated failure-time model with 12-year cohort design was used to analyze impact long-term PM2.5 its on 1492 patients. Restricted cubic splines (RCS) functions stratification analyses were conducted identify exposure-response curve vulnerable subgroups, respectively. significantly associated reduced For per interquartile range (IQR) increase concentrations, ratio changing percentage (TRCP) ranged from -28.8 % -33.6 PM2.5, -34.7 -39.6 black carbon (BC), -13.6 -17.4 nitrate (NO3-), -21.9 -26.6 ammonium (NH4+), -29.5 -35.5 organic (OM), -31.5 -36.2 sulfate (SO42-). relationship exhibited nonlinear trend, steep slope at lower concentrations. Furthermore, females, monocyte levels, those drinking history faced higher risk time. study reveals urgent need environmental regulations mitigate constituents, BC. evidence loss survivorship crucial establishing air quality guidelines concerning PM formulating interventions protective measures high-risk

Language: Английский

Citations

0
Techno-Economic Feasibility of an Innovative Hybrid Solar-Rainfall Harvesting System for Agriculture and Residential Application in Sudan DOI
Youssef Kassem, Hüseyin Gökçekuş,

Mohamed Elmustafa Elmubarak Elawad Hassan

et al.

Studies in big data, Journal Year: 2025, Volume and Issue: unknown, P. 413 - 423

Published: Jan. 1, 2025

Language: Английский

Citations

0
Prediction of Solar Irradiation in Africa using Linear-Nonlinear Hybrid Models DOI Open Access
Youssef Kassem, Hüseyin Çamur, Mustapha Tanimu Adamu

et al.

Engineering Technology & Applied Science Research, Journal Year: 2023, Volume and Issue: 13(4), P. 11472 - 11483

Published: Aug. 9, 2023

Solar irradiation prediction including Global Horizontal Irradiation (GHI) and Direct Normal (DNI) is a useful technique for assessing the solar energy potential at specific locations. This study used five Artificial Neural Network (ANN) models Multiple Linear Regression (MLR) to predict GHI DNI in Africa. Additionally, hybrid model combining MLR ANNs was proposed both improve accuracy of individual ANN models. radiation (GHI DNI) global meteorological data from 85 cities with different climatic conditions over Africa during 2001-2020 were train test developed. The Pearson correlation coefficient identify most influential input variables DNI. Two scenarios achieve goal, each variables. first scenario parameters, while second incorporated geographical coordinates assess their impact on accuracy. results revealed that suggested linear-nonlinear outperformed all other terms Moreover, investigation have minimal radiation.

Language: Английский

Citations

9
Groundwater salinization risk assessment using combined artificial intelligence models DOI
Oussama Dhaoui,

Isabel Margarida Antunes,

Ines Benhenda

et al.

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(23), P. 33398 - 33413

Published: April 28, 2024

Language: Английский

Citations

3
Wind Energy Estimation in Mediterranean Coastal Urban Areas via Neural Network Models DOI
Youssef Kassem, Hüseyin Gökçekuş, Abdurrahman Yusuf Abdullahi

et al.

Lecture notes in networks and systems, Journal Year: 2025, Volume and Issue: unknown, P. 26 - 34

Published: Jan. 1, 2025

Language: Английский

Citations

0
Groundwater quality assessment for irrigation in coastal region (Güzelyurt), Northern Cyprus and importance of empirical model for predicting groundwater quality (electric conductivity) DOI Creative Commons
Hüseyin Gökçekuş, Youssef Kassem,

Temel Rızza

et al.

Environmental Earth Sciences, Journal Year: 2025, Volume and Issue: 84(8)

Published: April 1, 2025

Language: Английский

Citations

0