Feature engineering descriptors, transforms, and machine learning for grain boundaries and variable-sized atom clusters by C. Braxton Owens, Nithin Mathew, Tyce W. Olaveson, Jacob P. Tavenner, Edward M. Kober, Garritt J. Tucker, Gus L. W. Hart, Eric R. Homer

“…Key steps for property prediction common to grain boundaries and other variable-sized atom clustered structures include: (1) describing the atomic structure as a feature matrix, (2) transforming the variable-sized feature matrix to a fixed length common to all structures, and (3) applying a machine learning algorithm to predict properties from the transformed matrices. …”
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Five-Axis Tool Path Generation of Injection Mold Represented by T-Spline Surface by Ce Shang, Hongyao Shen, Jianzhong Fu, Yangfan Sun, Shuhua Yue, Jianfeng Zhang

“…And, its patch layout information can be utilized for tool path planning. We propose an algorithm to determine the patch processing order and generate nonretraction tool path for T-spline surface models. …”
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Theoretical Design and First Test in Laboratory of a Composite Visual Servo-Based Target Spray Robotic System by Dongjie Zhao, Ying Zhao, Xuelei Wang, Bin Zhang

“…In addition, locating algorithm for the MEC center in nozzle reference frame and the hand-eye calibration matrix were studied. …”
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Optimization of Clinical Nursing Management System Based on Data Mining by Yongxia Chen

“…Therefore, this research is based on the framework of the hospital’s existing clinical care system, using data mining technology to improve the Bayesian algorithm and data preprocessing, optimizes the design of functional modules in the clinical nursing management system, and optimizes the patient information management, medical order management, medical order execution management, basic information and expense management, nursing execution process management, system and data management, barcode management, physical sign management, WAP information management, and other subsystems in the clinical nursing information management system. …”
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Bias Correction in Monthly Records of Satellite Soil Moisture Using Nonuniform CDFs by Shan Wang, Huiling Shan, Chi Zhang, Yuexing Wang, Chunxiang Shi

“…In this paper, we applied the Douglas–Peucker curve approximation algorithm to approximate the CDFs and found that three nonuniformly spaced samples can achieve the same reduction in standard deviation. …”
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Blind Channel Estimation Based on Multilevel Lloyd-Max Iteration for Nonconstant Modulus Constellations by Xiaotian Li, Jing Lei, Wei Liu, Erbao Li, Yanbin Li

“…Moreover, when the number of received symbols is small, we propose the lacking constellations equalization algorithm to reduce the influence of lacking constellations. …”
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Construction of a Visual Saliency Model for Neighborhood Building Landmarks Based on K-Means Clustering by Chen Li, Zheng Qiao

“…Considering that the visual saliency of the landmarks in the neighborhood is reflected by the variance of the influencing factors and that the scope of the landmarks is localized, the local outlier detection algorithm is used to solve the variance of the secondary indicators. …”
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New Features Using Robust MVDR Spectrum of Filtered Autocorrelation Sequence for Robust Speech Recognition by Sanaz Seyedin, Seyed Mohammad Ahadi, Saeed Gazor

“…This modification results in reduction of the noise residuals of the estimated spectrum from the filtered autocorrelation sequence, thereby leading to a more robust algorithm. Our proposed method, when evaluated on Aurora 2 task for recognition purposes, outperformed all Mel frequency cepstral coefficients (MFCC) as the baseline, relative autocorrelation sequence MFCC (RAS-MFCC), and the MVDR-based features in several different noisy conditions.…”
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Study on the Accuracy Improvement of the Second-Kind Fredholm Integral Equations by Using the Buffa-Christiansen Functions with MLFMA by Yue-Qian Wu, Xin-Qing Sheng, Xing-Yue Guo, Hai-Jing Zhou

“…In this paper, the multilevel fast multipole algorithm (MLFMA) is employed to accelerate iterative solution of the magnetic-field integral equation (MFIE). …”
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Dual-Vehicle Heterogeneous Collaborative Scheme with Image-Aided Inertial Navigation by Zi-Ming Wang, Chun-Liang Lin, Chian-Yu Lu, Po-Chun Wu, Yang-Yi Chen

“…Our approach harnesses advanced image feature-recognition techniques, employing an enhanced scale-invariant feature transform algorithm and a neural network model. The recognition of prominent scene features is prioritized, thus improving recognition speed and precision. …”
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A Bicriteria Model to Determine Pareto Optimal Pulse Vaccination Strategies by Funda Samanlioglu, Nauman Tabassum, Tolga Kudret Karaca, Ayse Humeyra Bilge

“…To find approximate efficient solutions to this bicriteria problem, ODE and genetic algorithm toolboxes of MATLAB are integrated (GA-ODE). …”
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Management of Delayed Onset Postoperative Hemorrhage after Anastomotic Urethroplasty by L. A. Bertrand, S. P. Elliott, B. N. Breyer, B. A. Erickson

“…Through our experience with three separate cases of significant postoperative urethral hemorrhage after EPA, we developed an algorithm for treatment beginning with conservative management and progressing through endoscopic and open techniques, as well as consideration of embolization by interventional radiology. …”
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Development of a New Modified Sonar Inspired Optimization based on Machine Learning Methods for Evaluating Compressive of High-Performance Concrete by Ali Nikkhoo, Amin Moshtagh, Mehri Mehrnia

“…This study examines the effectiveness of expert frameworks in determining compressive strength, aiming to enhance accuracy through the development of a master artificial neural network (ANN) system utilizing the sonar inspired optimization (SIO) algorithm. The ANN model employs exploratory data to establish initial optimal weights and biases, thereby improving precision. …”
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Research on an Aerial Docking Strategy for Meta-UAVs Using Aerodynamic Data Surrogate Models by Kangwen Sun, Yixiang Gao, Zhiyao Wang, Haoquan Liang, Chenxuan Zhao, Xinzhe Ji

“…Optimization of the docking process, focusing on impulse and moment of impulse, is achieved using a greedy algorithm. The results show a reduction in drag impulse and rolling moment by 10.89% and 15.76%, respectively, thereby easing the burden on the control system of UAVs.…”
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Brain tumor segmentation by deep learning transfer methods using MRI images by E.Y. Shchetinin

“…However, due to its time-consuming nature, there is a need for a fast and reliable automatic segmentation algorithm. In recent years, deep learning methods applied to brain tumor segmentation have shown promising results. …”
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Charge Diagnostics and State Estimation of Battery Energy Storage Systems Through Transformer Models by Rolando Antonio Gilbert Zequera, Anton Rassolkin, Toomas Vaimann, Ants Kallaste

“…With the continuous development of Artificial Intelligence (AI), designing accurate algorithms that provide diagnostics and maintenance of energy technologies is a challenging task in the energy transition domain. …”
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Salt and Pepper Noise Removal with Noise Detection and a Patch-Based Sparse Representation by Di Guo, Xiaobo Qu, Xiaofeng Du, Keshou Wu, Xuhui Chen

“…An alternating direction minimization algorithm is derived to solve the regularization model. …”
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Nonlinear Dynamic Model-Based Adaptive Control of a Solenoid-Valve System by DongBin Lee, Peiman Naseradinmousavi, C. Nataraj

“…The parameter groups are updated by adaptation laws using a projection algorithm. Numerical simulation results are shown to demonstrate good performance of the proposed nonlinear model-based adaptive approach and to compare the performance of the same solenoid-valve system with a non-adaptive method as well.…”
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Multiobjective Synthesis of Steerable UWB Circular Antenna Array considering Energy Patterns by Leopoldo A. Garza, Marco A. Panduro, David H. Covarrubias, Alberto Reyna

“…The method of Differential Evolution for Multiobjective Optimization (DEMO) is used as the optimization algorithm in this work. This design of steerable UWB circular arrays considers the optimization of the true-time exciting delays and the amplitude coefficients across the antenna elements to operate with optimal performance in the whole azimuth plane (360°). …”
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A Game-Theoretic Response Strategy for Coordinator Attack in Wireless Sensor Networks by Jianhua Liu, Guangxue Yue, Shigen Shen, Huiliang Shang, Hongjie Li

“…In this paper, we propose an adaptive coordinator selection algorithm using game and fuzzy logic aiming at both minimizing the average number of hops and maximizing network lifetime. …”
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