Combined Prediction of Dust Concentration in Opencast Mine Based on RF-GA-LSSVM by Shuangshuang Xiao, Jin Liu, Yajie Ma, Yonggui Zhang

“…The GA-LSSVM model clearly demonstrates a strong predictive performance with low error and high fitting. The research results can serve as a foundation for developing dust control measures in opencast mines.…”
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A Model-Driven Approach for Estimating the Energy Performance of an Electric Vehicle Used as a Taxi in an Intermediate Andean City by Jairo Castillo-Calderón, Daniel Cordero-Moreno, Emilio Larrodé Pellicer

“…Regarding the decision to opt for vehicles with electric propulsion systems to achieve a sustainable future, much research has focused on the electrification of passenger cars, since this class of vehicles is the largest contributor of greenhouse gas emissions in the transportation sector. …”
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Examining the effect of relationship marketing on the frequency of using banking services by Behrooz Golnarian, Hamed Hagh Talab

“…To obtain a sample size, formula of ratio estimation with a relative error of 0.05 and a maximum variance value of 0.50 were used so that the total size of sample was determined as 400 approximately. …”
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Efficiency Comparison of New Adjusted Nonparametric and Parametric Statistics Interval Estimation Methods in the Simple Linear Regression Model by Saichon Sinsomboonthong, Juthaphorn Sinsomboonthong

“…In this research, the authors were interested in an efficiency comparison study of new adjusted nonparametric and parametric statistics interval estimation methods in the simple linear regression model. …”
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Design and numerical analysis of bicycle driver compartment area through CFD simulation by Boru Godana Golo, Degefa Legesse Bekele, Garbe Chukulu Jarso, Dr. Ing. Getachew Shunki Tibba

“…Upright-seat bicycles exhibit poor aerodynamics, with both rider and bicycle generating significant drag intensified by wind resistance, cold air, and rainfall. This research's aim involves designing and evaluating a bicycle compartment through CFD simulation. …”
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Using a hybrid multi-criteria analysis method to classify hot mix asphalt regarding permanent deformation by Victória Nunes-Ramos, Jéssica da Silva Vieira, Alejandro Ruiz-Padillo, Luciano Pivoto Specht

“… The new Brazilian pavement design method (MeDiNa) defines the Flow Number as an indicator of permanent deformation of asphalt mixtures, which is adapted to traffic by trial and error, as there is no established combination of parameters in the literature for its prediction. …”
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Accuracy of smartwatches in predicting distance running performance by Jiansong Dai, Gangrui Chen, Zhonghe Gu, Yuxuan Qi, Kai Xu

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The design of copper flotation process based on multi-label classification and regression by Haipei Dong, Fuli Wang, Dakuo He, Yan Liu

“…The experimental results demonstrate the significantly superiority of the proposed method in the copper flotation process design. The above research has significant implications for the engineering application of artificial intelligence. …”
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Camera-LiDAR Calibration Using Total Station by Kotaro Noji, Gou Koutaki, Shuhei Noguchi

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A clustering-based federated deep learning approach for enhancing diabetes management with privacy-preserving edge artificial intelligence by Xinyi Yang, Juan Li

“…However, challenges remain in accounting for patient variability and optimizing FL for glucose prediction. This research introduces a novel personalized clustering-based federated deep learning (Clu-FDL) model to address these challenges. …”
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Kinerja Kelompok Penyelenggara Pemungutan Suara Pemungutan Suara Ulang pada PEMILU 2019 di Kota Tebing Tinggi by Dian Husri Hurasan, Muryanto Amin, Hatta Ridho

“…This research was motivated by the Re-Voting (PSU) and the Election Result Dispute (PHPU) lawsuit that colored the 2019 Election in Tebing Tinggi City. …”
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Crystal Structure and Cyclic Voltammetric Studies on the Metal Complexes of N-(Dimethylcarbamothioyl)-4-fluorobenzamide by Gun Binzet, Ersan Turunc, Ulrich Flörke, Nevzat Külcü, Hakan Arslan

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Health Disparities by Type of Disability: Health Examination Results of Adults (18-64 Years) with Disabilities in Shanghai, China. by Qi Kang, Gang Chen, Jun Lu, Huijiong Yu

“…<h4>Results</h4>Individuals with visual disability had a high rate of refractive error (60.0%), and averaged 1.75 diseases of interest, which was the highest value among all disability types. …”
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Value Relevance of Corporate Economic Sustainability Reporting of Financial Services Quoted Firms in Nigeria by Muyiwa Ezekiel Alade, Wilson Adebayo Adepiti, Olusola Esther Igbekoyi, Ademola Tosin Olofintuyi

“…The study employed ex-post facto research design. Secondary data were obtained through annual reports published by the firms covering a period of 2010 to 2020. …”
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Passive Indoor People Counting by Bluetooth Signal Deformation Analysis with Deep Learning by Giancarlo Iannizzotto, Lucia Lo Bello, Andrea Nucita

“…The motivation behind this research is the need for non-intrusive, privacy-preserving occupancy monitoring in sensitive indoor settings, where traditional camera-based solutions may be unsuitable. …”
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Optimizing cervical cancer diagnosis with accurate cell classification using modified HDFF by Pooja Patre, Dipti Verma

“…The novelty of this research lies in the integration of hierarchical deep learning features, which allows for more accurate and robust classification. …”
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Cancelable Biometric Template Generation Using Random Feature Vector Transformations by Ragendhu S P, Tony Thomas, Sabu Emmanuel

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Access-based land value appreciation for assessing project benefits by Yadi Wang, David Levinson

“…The lack of non-residential land uses in the literature presents a significant research gap that should be addressed. …”
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Access-based land value appreciation for assessing project benefits by Yadi Wang, David Levinson

“…The lack of non-residential land uses in the literature presents a significant research gap that should be addressed. …”
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Enhanced Fault Detection in Satellite Attitude Control Systems Using LSTM-Based Deep Learning and Redundant Reaction Wheels by Sajad Saraygord Afshari

“…The results confirm achieving performance metrics such as Mean Squared Error for accurate fault identification. This research underscores a stride in the evolution of fault detection and control strategies for satellite attitude control systems, holding promise to boost the reliability and efficiency of future space missions.…”
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