A novel integrated TDLAVOA-XGBoost model for tool wear prediction in lathe and milling operations by Zhongyuan Che, Chong Peng, Chi Wang, Jikun Wang

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A review of approaches to assessment of potential radon hazard of land plots by A. S. Vasilyev, D. V. Kononenko, T. A. Kormanovskaya, K. A. Saprykin

“…Some rational proposals of various Russian research teams on improving the algorithm for determining the potential radon hazard of land plots are considered.…”
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LiDAR point cloud denoising for individual tree extraction based on the Noise4Denoise by Xiangfei Lu, Zongyu Ye, Liyong Fu, Huaiyi Wang, Kaiyu Wang, Yaquan Dou, Dongbo Xie, Xiaodi Zhao

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Feature selection and aggregation for antibiotic resistance GWAS in Mycobacterium tuberculosis: a comparative study by Kirill Reshetnikov, Daria Bykova, Daria Bykova, Konstantin Kuleshov, Konstantin Kuleshov, Konstantin Chukreev, Egor Guguchkin, Alexey Neverov, Gennady Fedonin

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Design Exploration of the NACA Airfoil Family Using High-Fidelity CFD Analysis by Mihai-Vladut HOTHAZIE, Daniel-Eugeniu CRUNTEANU, Mihai-Victor PRICOP, Ionut BUNESCU, Mara-Florina NEGOITA, Mihaita-Gilbert STOICAN

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Detection and tracking of mask wearing based on deep learning by Wang Lin, Nan Gaigai

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Robust Optimization for Integrated Construction Scheduling and Multiscale Resource Allocation by Qian Li, Sha Tao, Heap-Yih Chong, Zhijie Sasha Dong

“…This research investigates an integrated problem of construction scheduling and resource allocation. …”
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Hybrid beamforming for ISAC based on mmWave cell-free MIMO by DUO Lin, YANG Xin, REN Yong, XU Boyu

“…Two kinds of power constraints are considered in the study, and the improved orthogonal matching pursuit algorithm and the Riemann conjugate gradient algorithm are used for optimization. …”
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Artificial Neural Network Model for Monitoring Oil Film Regime in Spur Gear Based on Acoustic Emission Data by Yasir Hassan Ali, Roslan Abd Rahman, Raja Ishak Raja Hamzah

“…The purpose of this research is to use artificial neural network (ANN) computational modelling to correlate spur gear data from acoustic emissions, lubricant temperature, and specific film thickness (λ). …”
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Robust extreme gradient boosting model for predicting the behavior of RC slabs under impact loading: key influencing factors and performance insights by Ammar Babiker

“…The study highlights the potential of ML algorithms in structural analysis and encourages future research to validate these outcomes with experimental data and explore the influence of different projectile shapes on slab performance.…”
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Method of Optimize Scheduling Under Double Engines about Quantum/Electron Computing Power Networks Resource by CHENG Qiyue, LU Jun

“…The research on quantum/electron heterogeneous computing power networks, based on a dual-engine global optimization metric scheduling mechanism and algorithm for quantum/electron computing network resources, demonstrates both foresight and scientific rigor. …”
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Use of Machine Learning to Predict California Bearing Ratio of Soils by Semachew Molla Kassa, Betelhem Zewdu Wubineh

“…From these evaluation metrics, the random forest algorithm gets a smaller error and larger relative error (R2) value to compare with other algorithms. …”
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Fuel-Optimal Ascent Trajectory Problem for Launch Vehicle via Theory of Functional Connections by Shiyao Li, Yushen Yan, Kun Zhang, Xinguo Li

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Efficient Capacity-Based Joint Quantized Precoding and Transmit Antenna Selection Using Cross-Entropy Method for Multiuser MIMO Systems by Jung-Chieh Chen, Min-Han Chiu, Yi-Syun Yang, Kuan-Yuen Liao, Chih-Peng Li

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Presenting a Fuzzy Multiobjective Mathematical Model of the Reverse Logistics Supply Chain Network in the Automotive Industry to Reduce Time and Energy by Saeed Aminpour, Alireza Irajpour, Mehdi Yazdani, Ali Mohtashami

“…Deterministic methods, genetic algorithm, particle swarm algorithm, and several scenarios with different aspects have been used to solve the model. …”
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SYNTHESIS OF THE TECHNICAL CONTROL SYSTEMS WITH VARIABLE STRUCTURE by I. V. Prokopyev

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Multi video stream collaborative adaptive offloading scheme based on equilibrium game theory by Shijun Yuan

“…Secondly, an adaptive task offloading algorithm based on game theory and Nash equilibrium is designed to achieve optimal node selection through offloading algorithm and weight allocation, minimizing the processing cost of the entire multi video stream system and balancing video stream computation latency and energy consumption; Finally, the simulation results show that the proposed scheme satisfies long-term MEC energy constraints while significantly outperforming existing benchmark research schemes in terms of cost performance.…”
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Online monitoring data processing methods for railway slopes and its application: A case study of the Shuohuang Railway by Mu GU

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Location Design of Electrification Road in Transportation Networks for On-Way Charging by Yue Qiu, Yuchuan Du, Shanchuan Yu, Shengchuan Jiang

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Optimal surface defect detector design based on deep learning for 3D geometry by Sangmin Suh

“…Furthermore, previous studies have focused on 2D sheet metal products, and there has been no research on three-dimensional geometric products. In this study, we propose dataset generation through geometric transformations that parameterize the structure of the steel surface defect detector hardware, along with a performance-based model optimization algorithm. …”
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