Rapid Driving Style Recognition in Car-Following Using Machine Learning and Vehicle Trajectory Data by Qingwen Xue, Ke Wang, Jian John Lu, Yujie Liu

“…The driving style of each driver in training data is labelled based on their collision risk level using K-mean algorithm. Then, the driving style recognition model’s inputs are extracted from vehicle trajectory features, including acceleration, relative speed, and relative distance, using Discrete Fourier Transform (DFT), Discrete Wavelet Transform (DWT), and statistical method to facilitate the driving style recognition. …”
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Preparation of objects for the examination of narcotic drugs, psychotropic substances, their analogues and precursors: a case study approach by S. M. Lozova, S. I. Perlin

“…It is proposed to involve specialists of various fields (criminalist, botanist, agronomist) in conducting investigative (“detective”) actions. An algorithm of actions for seizure, packaging and storage of objects has been developed depending on the identified typical situations: detection of illegal crops; detection of drug laboratories/drug houses; detection of “bookmarks” or detention of a person during an operational purchase. …”
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Critical import insurance as a tool to support entrepreneurs under sanctions by А. V. Averin, A. F. Baranova, A. M. Kutyrev

“…The necessity of state support of insurance of advance payments for imports of critical goods has been assessed and the algorithm of state support of advance payments insurance for critical goods imports described. …”
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Transmit Waveform Optimization for Spatial-Frequency Diversity MIMO Radar in the Presence of Clutter by Yonghao Tang, Xiaofeng Ma, Weixing Sheng, Yubing Han

“…Inspired by the MIMO communication system, the water-filling algorithm is introduced into the transmitted energy allocation problem for each carrier frequency channel. …”
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A Power-Efficient Soft-Output Detector for Spatial-Multiplexing MIMO Communications by Hsiao-Chi Wang, Tung-Lin Liu, Yuan-Wei Wu, Hsi-Pin Ma

“…A novel tree search algorithm is proposed to enable the detector to provide soft outputs and to be implemented in parallel and pipelined hardware architecture. …”
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An ORESTE approach based decision-making framework for renewable energy development with probabilistic dual hesitant fuzzy information by Soniya Gupta, Natasha Awasthi, Dheeraj Joshi

“…The aim of this paper is to develop the French Organization Rangement Et Synthese De Ronnees Relationnelles’ (ORESTE) approach for ranking the renewable energy plant under probabilistic dual hesitant fuzzy environment. First, an algorithm has been developed to normalize the Probabilistic Dual Hesitant Fuzzy Element (PDHFE). …”
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Temperature Control of Quartz-Glass Melting Areas in Laser Additive Manufacturing by Jing Chen, Zeping Lv, Xuanjia Zhang, Tao Xu, Yuntao Cheng

“…It was based on a PID (proportional–integral–derivative) control algorithm for adjusting laser power. Changes in the macroscopic morphology, microstructure, and other qualities of the final additive result before and after the temperature control of the quartz glass were examined. …”
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Fungal Infection following Total Elbow Arthroplasty by Samuel S. Ornell, Khang H. Dang, Aaron J. Bois, Anil K. Dutta

“…The purpose of this report is to describe our experience and outline our treatment algorithm for a rare case of prosthetic joint infection (PJI) following a TEA. …”
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Modeling and Error Compensation of Robotic Articulated Arm Coordinate Measuring Machines Using BP Neural Network by Guanbin Gao, Hongwei Zhang, Hongjun San, Xing Wu, Wen Wang

“…Experimental studies have been conducted to verify the proposed algorithm with neural network compensation, which shows that 97% error of the AACMM can be eliminated after compensation. …”
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A novel oversampling method based on Wasserstein CGAN for imbalanced classification by Hongfang Zhou, Heng Pan, Kangyun Zheng, Zongling Wu, Qingyu Xiang

“…It generates an initial balanced dataset from minority class samples using the CGAN oversampling approach and then uses a noise and boundary recognition method based on K-means and $$k$$ k nearest neighbors algorithm to address the noise and boundary-blurring issues. …”
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Recognition of biosignals with nonlinear properties by approximate entropy parameters by L.A. Manilo, A.P. Nemirko

“…Its parameters can be used to detect dynamic irregularities associated with nonlinear properties of signals. The algorithm for calculating this characteristic is consid-ered in detail. …”
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Prediction of Punching Capacity of Slab-Column Connections without Transverse Reinforcement Based on a Backpropagation Neural Network by Jie Bu, FanZhen Zhang, Meng Zhu, Zhiyang He, Qigao Hu

“…Then, based on the Levenberg–Marquardt (LM) algorithm and using the nonlinear function of the backpropagation neural network (BPNN), a prediction model of the punching capacity of slab-column connections without transverse reinforcement is established. …”
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Gene-Gene Interaction Analysis for the Accelerated Failure Time Model Using a Unified Model-Based Multifactor Dimensionality Reduction Method by Seungyeoun Lee, Donghee Son, Wenbao Yu, Taesung Park

“…For gene-gene interaction analysis, the multifactor dimensionality reduction (MDR) method has been widely applied, since the constructive induction algorithm of MDR efficiently reduces high-order dimensions into one dimension by classifying multi-level genotypes into high- and low-risk groups. …”
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Quantum Fuzzy Inference Engine for Particle Accelerator Control by Giovanni Acampora, Michele Grossi, Michael Schenk, Roberto Schiattarella

“…In this scenario, a quantum fuzzy inference engine (QFIE) was proposed as a quantum algorithm able to generate an exponential computational advantage over conventional fuzzy inference engines. …”
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An individual-level probabilistic model and solution for control of infectious diseases by Ye Xia

“…Moreover, the same theoretical result shows why the simple algorithm of repeated integration can find numerical solutions for virtually all initial conditions. …”
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Study on Adiabatic Temperature Rise Reflecting Hydration Degree of Concrete by Yanhua Han, Shaojun Fu, Shufa Wang, Zuowei Xie

“…Therefore, BP neural network method is an effective way to calculate the thermal parameters, and BP inversion algorithm provides a new way for accurately study the temperature profile of mass concrete structures.…”
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Invariant Measures Based on the U-Correlation Integral: An Application to the Study of Human Voice by Juan F. Restrepo, Gastón Schlotthauer

“…These invariants were estimated through an automated algorithm based on the recently proposed U-correlation integral. …”
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Integrating Wearable Sensor Signal Processing with Unsupervised Learning Methods for Tremor Classification in Parkinson’s Disease by Serena Dattola, Augusto Ielo, Angelo Quartarone, Maria Cristina De Cola

“…The k-means clustering algorithm was employed, achieving a classification accuracy of 76% for tremor versus non-tremor states. …”
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A Bistatic Imaging Method for GEOSAR in the Strip Mode and UAVSAR in the Steering Beam Mode by W. Zhuo-qun, L. Ya-jun, S. Sheng, L. Shuang-shuang, X. Jin-guo, W. Jun-qiang, Z. Jian-hua

“…Compared with the traditional imaging method, the simulation validates perfectly the effectiveness of the bistatic imaging algorithm.…”
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Estimation for Akshaya Failure Model with Competing Risks under Progressive Censoring Scheme with Analyzing of Thymic Lymphoma of Mice Application by Tahani A. Abushal, Jitendra Kumar, Abdisalam Hassan Muse, Ahlam H. Tolba

“…We apply the Metropolis–Hasting algorithm to generate MCMC samples from the posterior density function. …”
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