Muses or Stereotypes? Identifying Historical Patterns of Sexism in a Corpus of Brazilian Lyrics by Janaina Nogueira de Souza Lopes, Vitória Pereira Firmino, Valéria Quadros dos Reis

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Learning control system of lifting machine motors by V. I. Zimovets, A. S. Chirva, O. I. Marishchenko

“…The difficulty of obtaining diagnostic information is that the main functional units of electric motors are dependent. …”
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Machine learning opportunities to predict obstetric haemorrhages by Yu. S. Boldina, A. A. Ivshin

“…Here, we review the main stages of ML, the principles of algorithms action, and the prospects for using AI to predict OH in real-life clinical practice.…”
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OPTIMAL IDENTIFICATION OF RANDOM EVENTS by Boris N. Chugaev, Alexander Y. Arzhenenko

“…PP Parkhomenko suggested using questionnaires theory as a mathematical device to illustrate the construction, presentation and description of the best conventional diagnostic algorithms.The main task of the theory of the questionnaires was to build optimal in some sense of the questionnaire.…”
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Natural gas logistics management using multi-criteria optimisation methods by Sergey N. Lanin

“…The article examines modern approaches to improve the efficiency of logistics processes in natural gas distribution. The main objective of the article is to develop and justify a combined approach for optimising these processes, including the use of graph theory and multi-criteria genetic algorithms to minimise the transportation costs and to maximise the revenue. …”
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Methodology for Assessing the Level of Digitalization of the Construction Industry by A. S. Mishchenko

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All we know about polycythemia vera: literature review and own experience by K. M. Abdulkadyrov, V. A. Shuvaev, I. S. Martynkevich

“…The JAK-STAT signal pathway activation now recognized as main pathogenesis mechanism of polycythemia vera. …”
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INFORMATION-ANALYTICAL MODEL FOR A FUZZY PROPORTIONALINTEGRAL-DERIVATIVE CONTROLLER by Timur T. Abduragimov, Vladimir B. Melekhin, Vyacheslav M. Hachumov

“…Results An information-analytical model for a fuzzy proportional-integral-derivative law is constructed that allows a satisfactory level of accuracy for the regulation of the state parameters of a complex control object in an unstable environment to be achieved. The main drawback of fuzzy algorithms for managing complex objects (low accuracy in regulation of the state parameters of the control object) is identified and major limitations associated with their effective use are analysed. …”
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Identification of Dielectric Response Parameters of Pumped Storage Generator-Motor Stator Winding Insulation Based on Sparsity-Enhanced Dynamic Decomposition of Depolarization Curr... by Guangya Zhu, Shiyu Ma, Shuai Yang, Yue Zhang, Bingyan Wang, Kai Zhou

“…An iterative reweighted L1 (IRL1)-based method is proposed to formulate a reconstruction error minimization problem, which is solved using the ADMM algorithm. Based on the computed modal amplitudes, the dominant modes—representing the main insulation relaxation characteristics—are separated from spurious modes caused by noise. …”
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Multi-port network based modeling and selection of capacitor for desired voltage regulation of a standalone six-phase short-shunt induction generator for application in remote area... by Saikat Ghosh, S.N. Mahato

“…The resultant admittance of the SPIG is calculated from its per phase equivalent circuit and is used as an objective function, which is solved using Binary Search Algorithm (BSA). The main novelty of this work is the determination of the model equations of the SPIG system in an efficient and simple way using the multi-port network analysis approach. …”
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The Controlling Factors and Prediction of Deep-Water Mass Transport Deposits in the Pliocene Qiongdongnan Basin, South China Sea by Jiawang Ge, Xiaoming Zhao, Qi Fan, Weixin Pang, Chong Yue, Yueyao Chen

“…The evaluation of the main controlling factors of mass transport deposits utilizes the analysis of terrestrial catastrophes as a reference based on the GIS-10.2 software. …”
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Transmission Line Anomaly Detection and Real-Time Monitoring System Combining Edge Computing and EfficientDet by Menghao Lin, Yang Ding, Tianle Wang, Yang Liu, Zewei Li

“…In the target recognition part, an improved EfficientDet algorithm is adopted as the main body, and the aspect ratio of anchor boxes in the algorithm is optimized using K-means clustering algorithm. …”
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High-Resolution Vegetation Optical Depth Retrieved From Sentinel-1 C-Band SAR Data by Lihong Zhu, Yiman Li, Qing Xia, Qiong Zheng, Shuang Zhao, Zhi Huang

“…To address this issue, the corrected soil scattering components from the TU-Wien algorithm are used as input parameters for the WCM to construct the VOD time series. …”
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A simulation-driven computational framework for adaptive energy-efficient optimization in machine learning-based intrusion detection systems by Ripal Ranpara, Osamah Alsalman, Om Prakash Kumar, Shobhit K. Patel

“…Abstract This paper presents GreenMU, an innovative proposed novel framework designed to address the two main challenges: energy efficiency as one of the main research components and detection performance in intrusion detection systems. …”
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On-board radar complex for high-precision direction finding of radio sources for autonomous guidance of winged UAVs by Eduard Tserne, Semen Zhyla, Anatoliy Popov, Dmytro Vlasenko, Denys Kolesnikov, Olha Inkarbaieva, Volodymyr Kosharskyi, Hlib Cherepnin

“…The aim of this study is to develop high-precision functioning algorithms, practical recommendations for implementation, and experimental measurements of the main parameters of the onboard radio direction finders of radio radiation sources placed on winged UAVs. …”
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Enhancing Autonomous Truck Navigation in Underground Mines: A Review of 3D Object Detection Systems, Challenges, and Future Trends by Ellen Essien, Samuel Frimpong

“…It assesses deep learning algorithms, fusion techniques, multi-modal sensor suites, and limited datasets in an underground detection system. …”
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Artificial-Intelligence-Based Energy Management Strategies for Hybrid Electric Vehicles: A Comprehensive Review by Bin Huang, Wenbin Yu, Minrui Ma, Xiaoxu Wei, Guangya Wang

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A Method for Optimizing the Load Characteristic of Disc Cam-Follower Mechanisms With Oscillating Roller Followers by Xiao Zhenqian, Wang Wenge, Pan Yukang, Rao Xinghua

“…The large load torque fluctuation of disc cam mechanism with oscillating roller followers mainly affects the steady performance of servo motor in high-speed precision machinery.According to the load characteristic,a optimization method for reducing the mechanism overall load torque fluctuation is proposed by optimizing the resistance torque in the process of active parts and follower.This method is based on the cam curve motion law modulation method and particle swarm optimization algorithm,through generating new cam profile to complete the optimization process.The optimization of device is completed by applying this method on transfer mechanism in high speed packaging machinery.The simulation result shows that,the load fluctuation of device can be effectively reduceds.…”
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ISSA-Based Evaluation Method of Actual Navigation Performance of Rotorcraft Logistics Unmanned Aerial Vehicles by Fei Liu, Liang Zhao, Maolin Wang, Meiliwen Wu

“…The contribution of this paper mainly includes constructing the ANP optimization model and designing the ISSA method. …”
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Deep Reinforcement Learning-Based Dynamic Scheduling for Real-Time Applications in LTE and RAN Slicing for eMBB in 5G by Houssem Eddine Benmadani, Mohamed Azni, Turki Essa Alharbi, Mohammed S. Alzaidi, Mohamed Tounsi

“…The simulation results show that the proposed algorithm always outperforms the QoS performance, especially for real-time applications.…”
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