Machine Learning G-Code Optimization by Héctor Lasluisa-Naranjo, David Rivas-Lalaleo, Joaquín Vaquero-López, Christian Cruz-Moposita

“…This research applies the K-means machine learning clustering algorithm to optimize G-code parameters such as extruder and heated bed temperature, deposition speed, and flow control. …”
Get full text

Study on the Processing Technology of Calamine Calcination by Near-Infrared Spectroscopy by Xiaodong Zhang, Long Chen, Yu Bai, Keli Chen

“…Then, matching the near-infrared spectroscopy data with the T value and establishing the T value analysis model using the PLS algorithm were performed. Through cross and independent validation and evaluation, it was proved that the two models were very effective and had strong predictive abilities. …”
Get full text

The class project of cyber-driver by P. S. Sorokoumov

“…Educational robotic platform YARP-3 allows easy modification of constructing arms and grippers encouraging students’ creativity. …”
Get full text

Global Methane Retrieval, Monitoring, and Quantification in Hotspot Regions Based on AHSI/ZY-1 Satellite by Tong Lu, Zhengqiang Li, Cheng Fan, Zhuo He, Xinran Jiang, Ying Zhang, Yuanyuan Gao, Yundong Xuan, Gerrit de Leeuw

“…The results show that the improved MF algorithm effectively suppresses noise in retrieval results over both land and ocean surfaces, enhancing algorithm robustness. …”
Get full text

Control of Overfitting with Physics by Sergei V. Kozyrev, Ilya A. Lopatin, Alexander N. Pechen

“…An application of this analogy allows us to explain the selection of wide likelihood maxima and ab overfitting reduction for GANs.…”
Get full text

Integrated remote sensing, machine learning and geospatial approach for site selection of sewage treatment plants in the metropolitan city by S. Rajalakshmi, S. Subathradevi, Abdulaziz G. Alghamdi, Hadeel Alsolai

“…A Random Forest (RF) algorithm was applied to enhance spatial prediction. …”
Get full text

Entire aerial-aquatic trajectory modeling and optimization for trans-medium vehicles by Teng Long, Nianhui Ye, Baoshou Zhang, Jingliang Sun, Renhe Shi

Get full text

Artificial intelligence-based Bayesian optimization and transformer model for tennis motion recognition by Shaowei Shi, Kun Huang

Get full text

College English Audio-Visual-Oral Teaching Mode from the Perspective of Artificial Intelligence by Li Ling

“…The “New Era Artificial Brain Power Improvement Plan” issued by the State Council and the “Computer Reasoning Development Activity Plan for Colleges and Universities” issued by the Ministry of Education clearly pointed out that it is necessary to attach importance to the combination of modern education and artificial intelligence. …”
Get full text

China’s county-level monthly CO2 emissions during 2013–2021 by Ming Gao, Chaofan Tu, Miaomiao Liu, Jiandong Chen, Xingyu Chen, Hong Zou, Thomas Shiu Tong, Long Chen, Shuke Fu

“…After the main feature variables were identified, a hybrid regression algorithm combining deep neural networks and CatBoost was constructed to generate instrumental variable for predicting CO2 emissions. …”
Get full text

Research on Designing an Industrial Product-Service System with Uncertain Customer Demands by Fei Zhang, Liecheng Jia, Weizhen Han

“…This paper presents a design model that integrates an improved affinity propagation (AP) clustering algorithm, quality function development (QFD), and axiomatic design (AD). …”
Get full text

Wear monitoring method of water-lubricated polymer thrust bearing based on ultrasonic reflection coefficient amplitude spectrum by Changxiong Ning, Fei Hu, Wu Ouyang, Xinpin Yan, Dongling Xu

“…The effects of bearing parameters, objective function, and algorithm parameters on the identification results are simulated and analyzed. …”
Get full text

Antioxidants and Cognitive-Behavioral Therapy in Patients with Functional Dyspepsia by T. V. Sapozhnikova, S. A. Parfenov, T. E. Yesina, K. V. Sapozhnikov, A. N. Smirnov, A. A. Paulov, D. M. Rizakhanov, O. A. Rizakhanova

“…After comparing it with a threshold, the probability of a positive response to a combination of antioxidant and cognitive-behavioral therapy is estimated. The developed prediction algorithm is valid (sensitivity — 91 %, specificity — 73 %, accuracy — 84.8 %) and allows to optimize the definition of treatment tactics for a patient with functional dyspepsia.…”
Get full text

Optimization of Electric Vehicle Charging and Discharging Strategies Considering Battery Health State: A Safe Reinforcement Learning Approach by Shuifu Gu, Kejun Qian, Yongbiao Yang

“…First, a novel battery health status prediction model based on physics-informed hybrid neural networks (PHNN) is designed. …”
Get full text

Estimating shear strength of dredged soils for marine engineering: experimental investigation and machine learning modeling by Zheng Yao, Kaiwei Xu, Zejin Wang, Haodong Sun, Peng Cui, Peng Cui

“…Comparative analysis demonstrated that the LDA–BA–ANN configuration delivered the highest prediction precision and computational speed over traditional models. …”
Get full text

Detection of Pesticide Residues Using Three-Dimensional SERS Substrate Based on CNTs/Ag/AgNWs/SiO₂ by Jianjun Ding, Niansong Liu, Ganglin Wang, Naiyu Guo, Chao Sun

“…The experimental results indicated that the GA-BP algorithm achieved the training prediction accuracy of 92.5% for thiram, demonstrating good network performance. …”
Get full text

Modeling of Thermal Conductivity in a Medium with Phase Transition with a Moving Boundary of Phase Change by Mizonov V.E., Tikhonov A.I., Basova E.V., Mitrofanov A.V.

“…The significance of the results obtained consisted in the development of a simple but informative mathematical model of the media heat treatment kinetics with phase transformations, available for a direct use in the engineering practice. The proposed algorithm for constructing the model can be effectively used in prediction the open water pipes freezing in cold regions, in modeling the heat treatment of metals, in choosing the freezing modes of food products for a long-term storage, and other thermo-physical processes.…”
Get full text

Rolling Bearing Dynamics Simulation Information-Assisted Fault Diagnosis with Multi-Adversarial Domain Transfer Learning by Zhe Li, Zhidan Zhong, Zhihui Zhang, Wentao Mao, Weiqi Zhang

“…Firstly, the algorithm constructs both a global domain classifier and a subdomain classifier. …”
Get full text

Utilization of remote sensing and GIS for land use and land cover mapping in Wasit province, Iraq by Abdulkareem Meena K., Sabah Jaber Hussein

“…This study investigates the effectiveness of a supervised MLC classification algorithm to produce LULC maps of Wasit Governorate from multiple satellite images using remote sensing and GIS techniques, which is of great importance for earth observation applications, such as environmental monitoring and disaster prediction. …”
Get full text

A clustering fractional-order grey model in short-term electrical load forecasting by Xiang Yu, Lihua Lu, Jianming Qi, Yuchen Qian, Lisen Zhao, Chang Tan, Yangquan Chen, Zhigang Han

“…Hyper parameters of these equations are then sent to a global optimization algorithm to reduce predictive errors. Simulation results on two electricity datasets demonstrated that our algorithm can learn from datasets hyper parameters inside equations and produce forecast values efficiently. …”
Get full text