Compound Autoregressive Network for Prediction of Multivariate Time Series by Yuting Bai, Xuebo Jin, Xiaoyi Wang, Tingli Su, Jianlei Kong, Yutian Lu

“…Thirdly, the prediction algorithm was concluded for the time series with multiple variables. …”
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Stochastic Computer Simulation of Cermet Coatings Formation by Oleg P. Solonenko, Vladimir I. Jordan, Vitaly A. Blednov

“…The results are presented, which concern the development of the computational algorithm and the program complex for modeling the process of laying the splats in the coating with regard to the topology of its surface, which varies dynamically at the spraying, as well as the formation of lamellar structure and porosity of the coating. …”
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Delay Minimization for BAC-NOMA Offloading in UAV Networks by Haodong Li, Zhengkai Yin, Changsheng Chen

“…By converting the initially non-convex problem into a convex one, an iterative algorithm is developed to solve it. Simulation results demonstrate that the proposed protocol significantly reduces offloading delays relative to existing benchmarks.…”
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Development of Ultra-Broadband Base Station Antenna for All Mainstream LTE 700/800/900 MHz Frequency Bands by Doudou Samb, Zhonglin Wu, Mulin Liu, Hu Bin Jie

“…In the design process, rigorous algorithm based on swarm method is developed to tune the electrical performances under strict base station antenna requirements. …”
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Mixed Pattern Matching-Based Traffic Abnormal Behavior Recognition by Jian Wu, Zhiming Cui, Victor S. Sheng, Yujie Shi, Pengpeng Zhao

“…It introduced the DTW distance to measure the distances between vehicle trajectories and determined the number of clusters automatically by a spectral clustering algorithm based on the distance matrix. Then, it clusters sample data points into different clusters. …”
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Methods for Improving Point Cloud Authenticity in LiDAR Simulation for Autonomous Driving: A Review by Yanzhao Yang, Jian Wang, Xinyu Guo, Xinyu Yang, Wei Qin

“…Experimental results demonstrate the effectiveness of these techniques in enhancing perception algorithm performance. The paper identifies challenges in simulating LiDAR data, such as accuracy discrepancies, brand adaptability, and the need for comprehensive evaluation metrics. …”
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Quantitative analysis and resolution of pharmaceuticals in the environment using multivariate curve resolution-alternating least squares (MCR-ALS) by Mostafa Ahmed, Shaaban Heba

“…A multivariate regression model using the partial least squares regression (PLSR) algorithm was developed and calculated. The MCR-ALS results were compared with the PLSR obtained results. …”
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Rough Set Approach for Group Evacuation Behavior Analysis in Passenger Transport Hub Area by Peng Chen, Xiaofeng Ma, Shunying Zhu

“…In the approach, improved tabu search-based attribute reduction is proposed to find the minimal subset of attributes required to fully describe the information of group evacuation decision-making, and value reduction algorithm based on knowledge granulation is used to generate rules of group evacuation decision-making. …”
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Gaussian Mixture Model-Based Vector Approach to Real-Time Three-Dimensional Path Planning in Cluttered Environment by Abera Tullu, Yunsang Cho, Sangho Ko

“…This work presents an obstacle-free three-dimensional (3D) path planning algorithm for unmanned aerial vehicles (UAV) navigating in cluttered environments. …”
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Prediction Model of Mining Subsidence Parameters Based on Fuzzy Clustering by Fei Cheng, Jun Yang, Ziwen Zhang, Jingliang Yu, Xuelian Wang, Yongdong Wu, Zhengyi Guo, Hui Li, Meng Xu

“…The original fuzzy clustering method is improved, and the IWFCM_CCS algorithm based on competitive merger strategy is obtained. …”
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Enhancing Railway Maintenance Safety Using Open-Source Computer Vision by Donghee Shin, Jangwon Jin, Jooyoung Kim

“…A recognition and detection algorithm for railway signs, tracks, and maintenance workers was constructed to improve the accuracy of the developed prevention system.…”
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Double layers optimal scheduling of distribution networks and photovoltaic charging and storage station cluster based on leader follower game theory by Zixuan Liu, Jun Wu, Ruijin Zhu, Dewen Kong, Hao Guo

“…Secondly, the differential evolution algorithm and GUROBI solver are used to solve for the maximum revenue, internal electricity price, and electricity consumption of PCSSIS and the distribution network. …”
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Machine learning-based characteristic identification of MSG content in gravy foods by Rosyady Phisca Aditya, Habibah Nurina Umy, Masita, Yudhana Anton

“…This research determines the identification of MSG using the Machine Learning method Naive Bayes classifier algorithm in Python software. This tool determines the identification of MSG dissolved in water using a Photodioda sensor, push button, RGB LED, Arduino Nano and Resistor. …”
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Limit Analysis of Collapse Mechanisms for Tunnel Roofs Subjected to Pore Water Pressure: A Numerical Approach by Jing-jing Liu, Tie-lin Chen, Chang-ling Xie, Jian-hua Tian, Yu-xin Wei

“…Then, the numerical approach based on the Runge–Kutta algorithm and traversal search method is proposed to solve the complex equations. …”
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Budgetary Vat Refund to Agricultural Producers: Analysis of National Tax and Customs Legislation by Yuriy Lupenko, Andriy Lupenko, Svitlana Andros, Yurii Yarmolenko

“…Conceptual approaches to the essence of budgetary VAT refunds have been systematized. An algorithm for the declared amount of budgetary VAT refunds has been developed. …”
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A Vibration Signal-Based Active Noise Control Method for Liquid-Filled Pipelines by Yunhao Wang, Qichao Liu, Wenjing Yu, Guo Cheng

“…In this paper, we propose an active noise control method utilizing signals acquired by accelerometers, which adopts offline modeling of the secondary path and the notch narrowband FxLMS algorithm for controlling the secondary source actuation. …”
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Automatic Optimal Design Method for Minimum Total Resistance Hull Based on Enhanced FFD Method by Shuhui Guo, Baoji Zhang, Zheng Tian, Jie Liu, Hailin Tang

“…To this end, an integrated, fully automated optimization program was developed based on Python, incorporating Enhanced Free-Form Deformation (FFD) technology, scripted CFD numerical evaluation, and the Particle Swarm Optimization (PSO) algorithm. This program allowed precise control of hull form, improving efficiency while reducing costs. …”
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Design of low‐pass and band‐pass infinite impulse response maximally flat stable digital differentiators by Huoping Yi, Xiaoping Lai

“…In addition, a generalized‐positive‐realness‐based stability constraint is incorporated in the design to ensure the robust stability of the DD. A design algorithm is presented to maximise the total flatness degree subject to the flatness conditions and the stability constraint, resulting in maximally flat stable DDs (MFSDDs). …”
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Machine Learning–Based Predictive Farmland Optimization and Crop Monitoring System by Marion Olubunmi Adebiyi, Roseline Oluwaseun Ogundokun, Aneoghena Amarachi Abokhai

“…This study provided a machine learning–aided mobile system for farmland optimization, using various inputs such as location, crop type, soil type, soil pH, and spacing. Random forest algorithm and BigML were employed to analyze and classify datasets containing crop features that generated subclasses based on random crop feature parameters. …”
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Remaining Useful Life Prediction of Turbofan Engine in Varied Operational Conditions Considering Change Point: A Novel Deep Learning Approach with Optimum Features by Subrata Rath, Deepjyoti Saha, Subhashis Chatterjee, Ashis Kumar Chakraborty

“…A two-stage feature-selection algorithm was developed, followed by a change point identification mechanism, and finally, a Bidirectional Long Short-Term Memory (BiLSTM) model was designed to predict RUL. …”
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