Reducing Measurement Costs of Thermal Power: An Advanced MISM (Mamba with Improved SSM Embedding in MLP) Regression Model for Accurate CO₂ Emission Accounting by Yinchu Wang, Zilong Liu, Hui Huang, Xingchuang Xiong

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A High-Sensitivity U-Shaped Optical Fiber SPR Sensor Based on ITO Coating by Chuhan Ye, Zhibo Li, Wenhao Kang, Lei Hou

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IMPLEMENTATION OF CROSS-VALIDATION ON HANG SENG INDEX FORECASTING USING HOLT’S EXPONENTIAL SMOOTHING AND AUTO-ARIMA METHOD by Christy Sheldy Sucipto, Winita Sulandari, Yuliana Susanti

“…The one to five step forecast values of daily HSI are then calculated using those models, and the accuracy of each forecast value is evaluated based on Mean Absolute Percentage Error (MAPE). The results show that the Auto ARIMA model produces a lower MAPE value than Holt's model, namely 2.9196%, 4.6553%, 6.4012%, 8.3083%, and 10.3781%, respectively, for one to five steps ahead. …”
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Bali's cultural festivals: A visitor magnet supporting sustainable tourism by Ni Kadek Winda Yanti, Ni Nyoman Tri Mahadewi, Ni Nyoman Sri Wisudawati, Budi Shantika, Bella Desita Yusnny

“…The number of samples in this study was 100 respondents calculated using the Slovin formula with a 90% confidence level and a 10% error rate with no specific criteria yet mainly has experience in visiting (visitor) one of the cultural event used as research object. …”
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A data pipeline for e-large-scale assessments: Better automation, quality assurance, and efficiency by Charles Anifowose, Ryan Schwarz, Hatice Cigdem Bulut

“…This modernized pipeline has proven to scale with large databases, decrease human error by reducing manual processes, efficiently make complex workloads repeatable, ensure high quality of the outputs, and reduce overall costs of psychometric analysis of large-scale assessment data. …”
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Real-Time Adaptive Traffic Flow Prediction Based on a GE-GRU-KNN Model by Xiangyu YI, Hongmei ZHOU, Shaopeng ZHONG

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Internet of things driven hybrid neuro-fuzzy deep learning building energy management system for cost and schedule optimization by Deepshikha Shrivastava, Deepshikha Shrivastava, Prerna Goswami

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Forecasting mortality and DALYs from air pollution in SAARC nations by Amna Amer, Nadia Mushtaq, Olayan Albalawi, Muhammad Hanif, Emad E. Mahmoud, Muhammad Nabi

“…Utilizing Time Series and Machine Learning methodologies such as Autoregressive Integrated Moving Average, Exponential Smoothing, and Neural Network, the research aims to accurately forecast the mortality and DALYs attributed to air pollution from 2020 to 2030. …”
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Enhancing Far-Field Speech Recognition with Mixer: A Novel Data Augmentation Approach by Tong Niu, Yaqi Chen, Dan Qu, Hengbo Hu

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Investigation of the Relationship between Women Indicators and Socio-Economic Development Index using Spatial Econometrics Models by Lale Görgülü, Çağla Görgülü

“…The methods used in this study are correlation analysis, regression analysis, and spatial analyses (including spatial autoregressive and spatial error models, Moran’s I and Lagrange multiplier diagnostics). …”
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Directional dependence of the angular resolution of a radio antenna array due to the Earth’s magnetic field by Yousef Pezeshkian, Shiva Omidifar, Mahmud Bahmanabadi

“…Our findings reveal a significant correlation between the error in direction estimation of cosmic rays and the angle between the earth’s magnetic field and the cosmic ray’s trajectory. …”
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Efficient adsorptive removal of levofloxacin using sulfonated graphene oxide: Adsorption behavior, kinetics, and thermodynamics by Chironjit Kumar Shaha, Subarna Karmaker, Tapan Kumar Saha

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Identifying NPP operator stressors using grounded theory by Ye Wang, Xiliang Tao, Wenqiang Peng, Zhaopeng Liu, Pengcheng Li

“…However, the existing research largely explores single factors or specific scenarios, lacking systematic analysis. …”
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Realization of Music-Assisted Interactive Teaching System Based on Virtual Reality Technology by Yan Gao, Lin Gao

“…Virtual reality technology has attracted researchers’ attention because it can provide users with a virtual interactive learning environment. …”
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Probabilistic Forecasting of Crude Oil Prices Using Conditional Generative Adversarial Network Model with Lévy Process by Mohammed Alruqimi, Luca Di Persio

“…Experimental evaluations on two real-world oil price datasets demonstrate the superior performance of the proposed model, achieving a Mean Squared Error (MSE) of 0.000054 and outperforming benchmark models.…”
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Automatic Vegetable Watering System Using Fuzzy Logic with Integration of Soil Moisture, Rain Sensors, and RTC by Dallarizki Arginanta, Wahid Miftahul Ashari

“…The trials showed that the device has an average soil moisture measurement error of 5%, and a time discrepancy of about 22 seconds on the RTC module. …”
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Prediction of California Bearing Ratio of Granular Soil by Multivariate Regression and Gene Expression Programming by Mudthir Bakri, Ibrahim Aldhari, Mohammed Saleh Alfawzan

“…The results of this analysis showed that the PQ model had a higher accuracy [coefficient of determination (R2) = 0.89, root mean square error (RMSE) = 16.006, uncertainty (U95) = 16.17, and reliability = 57%] than the multilinear regression model, which has a lower accuracy model [R2 = 0.811, RMSE = 20.791, U95 = 15.569, and reliability = 51%]. …”
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Hybrid Harris hawks-optimized random forest model for detecting multi-element geochemical anomalies related to mineralization by Hamid Sabbaghi, Nader Fathianpour

“…Tuning hyperparameters through trial-and-error way is a labor-intensive and time-consuming procedure which is not mostly eventuated to reliable results. …”
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Construction of shot peening enhanced response surface model based on DEM-FEM coupling and the influence analysis of process parameter by ZHANG Hongwei, YAN Xichao, GAO Shi, CHEN Tao

“…In order to simulate the shot peening process and realize the rapid prediction of the shot peening effect, a random multi-shot pellet shot peening strengthening model was established based on Abaqus software using the discrete element method-finite element method (DEM-FEM) coupling, and the TC4 titanium alloy was used as the research object to carry out the shot peening strengthening test to verify the accuracy of the coupling model. …”
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Geotechnics in the preservation of Machu Picchu, Cusco, Peru by Amparo Abarca Ancori

“…Therefore, the objective of this research was to determine whether geotechnics were related to the preservation of the Llaqta of Machu Picchu. …”
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