Predictive Modeling of Surface Roughness and Cutting Temperature Using Response Surface Methodology and Artificial Neural Network in Hard Turning of AISI 52100 Steel with Minimal C... by Sandip Mane, Rajkumar Bhimgonda Patil, Sameer Al-Dahidi

“…The RSM was employed for a structured, statistical analysis, while an ANN provided a data-driven approach for capturing complex non-linear relationships. …”
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Self-driving lab for the photochemical synthesis of plasmonic nanoparticles with targeted structural and optical properties by Tianyi Wu, Sina Kheiri, Riley J. Hickman, Huachen Tao, Tony C. Wu, Zhi-Bo Yang, Xin Ge, Wei Zhang, Milad Abolhasani, Kun Liu, Alan Aspuru-Guzik, Eugenia Kumacheva

“…By targeting spectroscopic nanoparticle properties, the AFION lab identifies reaction conditions for the synthesis of different types of nanoparticles with designated shapes, morphologies, and compositions. Data analysis provides insight into the role of reaction conditions for the synthesis of the targeted nanoparticle type. …”
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Calculating the Optimal Point Cloud Density for Airborne LiDAR Landslide Investigation: An Adaptive Approach by Zeyuan Liao, Xiujun Dong, Qiulin He

“…Ensuring that ground point density after raw point cloud processing meets the accuracy requirements for subsequent DEM construction represents a challenge for field operators during airborne LiDAR data acquisition. In this study, we propose a method to quantify DEM quality by combining the RMSE of elevation and terrain complexity, analyzing the DEM quality error curves constructed with different point cloud densities by a discrete difference peak-seeking method, to determine the optimal ground point density, and then constructing an ICP-NN algorithm for predicting the collected point cloud density. …”
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Effects of pragmatics awareness instruction (PAI) in enhancing EFL learners’ communicative competence by Mihretu Yihunie Yalew, Dawit Amogne, Birhanu Simegn Chanie

“…The collected pretest and posttest data were analysed using the t-test statistical analysis. …”
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Estimating Iranian Professional Football Players' Prices A Neural Networks Approach by Mehdi Salimi, Mohsen Tayebi, Amir Hossein Labbaf

“…So, 863 players were selected to use their data for analysis. The quantitative methods were also collected from valid sites and the Iranian Football League Organization. …”
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Hull form optimization of fully parameterized small ships using characteristic curves and deep neural networks by Jin-Hyeok Kim, Myung-Il Roh, In-Chang Yeo

“…By varying 29 parameters, 896 different hull forms were generated, with CFD analysis conducted for each variant. These data were then used to build a DNN model capable of predicting the performance based on hull form parameters. …”
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Multi-station water level forecasting using advanced graph convolutional networks with adversarial learning by Xinhai Han, Xiaohui Li, Jingsong Yang, Jiuke Wang, Guoqi Han, Jun Ding, Hui Shen, Jun Yan, Dake Chen

“…This spatial dependency analysis enables rapid deployment in different coastal settings. …”
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Machine Learning-Based Empirical Formulations for Strength Properties of Steel Fiber Reinforced Concrete by Mohammad Hossein Taghavi Parsa, Mohammad Reza Adlparvar, Morteza Esmaeili

“…The performance is also evaluated based on well-known error analysis metrics. The formulations are presented for flat, waved, and hooked end fibers, the most common fibers used in construction engineering. …”
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Fat globule size distribution in commercial ice cream determined through ideal application of the laser diffraction technique by Rafael A. Garcia, Faith Olszewski, Benjamin M. Plumier

“…This study demonstrates a careful selection of analysis parameters and methodology choices, in order to prevent known sources of error in particle size distribution (PSD) results, and to use the laser diffraction instrument to its best advantage. …”
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Inverse Gravimetric Problem Solving via Prolate Ellipsoidal Parameterization and Particle Swarm Optimization by Ruben Escudero González, Zulima Fernández Muñiz, Antonio Bernardo Sánchez, Juan Luis Fernández Martínez

“…We present a method for 3D gravity inversion using ellipsoidal parametrization and Particle Swarm Optimization (PSO), aimed at estimating the geometry, density contrast, and orientation of subsurface bodies from gravity anomaly data. The subsurface is modeled as a set of prolate ellipsoids whose parameters are optimized to minimize the misfit between observed and predicted anomalies. …”
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Risk assessment of tunnel water inrush based on Delphi method and machine learning by Leizhi Dong, Qingsong Wang, Weiguo Zhang, Yongjun Zhang, Xiaoshuang Li, Fei Liu

“…Training and test sample sets are constructed using engineering data from Qingdao metro tunnel construction. In the comparison with baseline models, the proposed model demonstrates the best accuracy and mean square error, which are 92.5% and 0.015, respectively. …”
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Research on Robot Force Compensation and Collision Detection Based on Six-Dimensional Force Sensor by Yunyi Wang, Zhijun Wang, Yongli Feng, Yanghuan Xu

“…The results of the force compensation show that the comparison curves for forces/torques in three directions are consistent, and the relative error is below 5.6%. The collision detection results indicate that the computed collision positions match the actual collision positions, thus verifying the correctness of the theoretical analysis of the force compensation and collision detection algorithms. …”
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Maintaining a cognitive map in darkness: the need to fuse boundary knowledge with path integration. by Allen Cheung, David Ball, Michael Milford, Gordon Wyeth, Janet Wiles

“…Spatial navigation requires the processing of complex, disparate and often ambiguous sensory data. The neurocomputations underpinning this vital ability remain poorly understood. …”
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Hydrodynamics Model Identification and Model-Based Control Application of a New Type of AUV by Lunyang Lin, Yuxiang Chen, Hong Xiong, Chunliang Yu, Hong Zhu, Yiyang Xing, Guodong Zheng

“…Finally, simulations and pool tests were conducted on the AUV, and a comparative analysis of the simulation results with the pool test results revealed that although there were certain errors in the calculation of the hydrodynamic coefficients, the controller constructed within this margin of error was still capable of effectively controlling the AUV. …”
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Machine Learning-Based Modeling with Optimization Algorithm for Predicting Mechanical Properties of Sustainable Concrete by Muhammad Izhar Shah, Shazim Ali Memon, Muhammad Sohaib Khan Niazi, Muhammad Nasir Amin, Fahid Aslam, Muhammad Faisal Javed

“…To train and test the proposed model, a large number of data were collected from the published literature. …”
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Simulation of the micro-dynamics in soil–cornstalk–disc interactions using the discrete element method by Peng Wu, Xirui Zhang, Ying Chen

“…The model effectively predicted corn stalk cutting effectiveness, draft force, and vertical force, with an overall relative error of 16.4 %. Micro-dynamic analysis showed that as soil bulk density decreased (within a range of 1.06 to 1.52 Mg m⁻³), corn stalk sinkage and soil supporting force increased, while corn stalk intrusion force decreased. …”
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Environmental health in BIMSTEC: the roles of forestry, urbanization, and financial access using LCC theory, DKSE, and quantile regression by Mohammad Ridwan, Afsana Akther, Md. Ahsanul Tamim, Abdul Rahim Ridzuan, Miguel Angel Esquivias, Wisnu Wibowo

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Temperature prediction for forging a large S355NL steel flange for offshore wind turbines using neural network and numerical simulation by Yu Chen, Jinfu Zhao, Ling Kong, Jianjun Zhang, Zhixin Huang, Dayong Li, Yuhui Wang

“…By applying back propagation (BP) neural network algorithms to finite element simulation data, the study achieved precise modeling of temperature trends in the forging process, with a maximum error below 1 %, enabling online temperature predictions. …”
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User Authentication Method for Smart Rings Using Active Acoustic Sensing by Shunsuke Iwakiri, Kazuya Murao

“…Wearable devices, such as bracelets and rings, have gained widespread popularity due to advancements in semiconductor technology, the miniaturization of devices and sensors, and the development of data analysis techniques. While tablets, smartwatches, and laptops incorporate biometrics like facial recognition and fingerprint identification for user authentication, many wearable devices lack user authentication features. …”
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Enhanced Pose Estimation for Badminton Players via Improved YOLOv8-Pose with Efficient Local Attention by Yijian Wu, Zewen Chen, Hongxing Zhang, Yulin Yang, Weichao Yi

“…Furthermore, we conduct an in-depth comparative analysis of multiple attention modules and their integration strategies within the network, offering generalizable insights to enhance pose estimation models in other sports domains. …”
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