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

“…Additionally, a slight decrease (less than 0.1°) in angular resolution is noted for 1018 eV showers. This research sheds light on the impact of Earth's magnetic field on cosmic ray detection using radio antenna arrays.…”
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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

“…Conventional vegetable watering often presents challenges, particularly in ensuring that plants receive adequate water without excessive manual intervention. This research proposes a solution in the form of an automatic watering system using fuzzy logic, which integrates soil moisture sensors, rain sensors, and an RTC (Real-Time Clock) for scheduling. …”
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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

“…This research demonstrates the results of an investigation into the California bearing ratio (CBR) of granular soils from Qassim region, Saudi Arabia, using multilinear regression (MLR), pure quadratic (PQ) models, and gene expression programming (GEP) methods utilized to develop mathematical models for estimating the CBR based on basic soil index properties. …”
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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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Dynamics analysis of the 3-[P（RR-RRR）SR] kinematically redundant parallel mechanism by HE Qizhen, ZHANG Haifeng, CHEN Qiaohong, YE Wei

“…This demonstrates the accuracy and reliability of the model, and also suggests that this method can provide reference for in-depth analysis of the dynamic characteristics of the mechanism and research on control strategies.…”
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Pre-modulated multi-coset sampling system by Huang Zhen, Bai Zhengyao

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Energy analysis of tailor rolled blank rolling process based on a new velocity field and the unified yield criterion by Wen Hao Tian, Shun Hu Zhang, Yan Li

“…It indicates that the theoretical model using the Tresca yield criterion has the highest prediction accuracy, with an average error of 11.57%, which has demonstrated the importance of the selection of a yield criterion. …”
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Parameter Identification and Linear Model of Giant Magnetostrictive Vibrator by Anming Wang, Jianjun Meng, Ruxun Xu, Decang Li

“…And the linear magnetization model was built to replace the Jiles–Atherton model. Research results show that the linear model of the GMV can be established by combining the linear magnetization model with the structural mechanic model as well as the giant magnetostrictive model. …”
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Assessment of morbidity profile among workers of metallurgy factories processing aluminium in Howrah district of West Bengal by Debasish Biswas, Manabendra Sau, Gautam Paik, Kishore P. Madhwani, Amalendu Samanta

“…The sample size for the proposed research study was 424 workers. Data were collected through a predesigned and pretested questionnaire and were subsequently analyzed by using suitable statistical package. …”
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Detection and Predictive Analysis of Drowsiness Using Non-contact Doppler Sensor by Chung Kyo In, Byung Chan Min

“…Various methods for detecting heartbeats based on Doppler sensors have been proposed due to their non-contact nature. Previous research involved developing Doppler radar sensors and verifying their reliability, with over 95 % accuracy compared to traditional ECG devices for heart rate measurement. …”
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