Kinematics Analysis of Grasping Manipulator based on ART-RBF Learning Algorithm by Kai Wang, XiaoJin Wan

“…The results show that the soft competition algorithm can improve the prediction accuracy to a certain extent. …”
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Deep learning and fuzzy algorithm in improving the effectiveness of college English translation teaching by Biao Kong, Che He

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Research and application of adaptive algorithm for 5G voice quality evaluation by Yuxiang ZHAO, Yaxin JI, Li YU, Tianyi ZHOU, Hang ZHOU

“…MOS (mean opinion score) is usually used to evaluate voice quality in the industry.It can objectively and fairly reflect the user’s voice service perception.It is difficult and costly to obtain data by road test, so a trained supervised learning model is usually used to predict the MOS score.However, the operator voice data has the characteristics of low percentage of MOS low score data and time sequence change, which affects the accuracy and generalization of the model prediction.Based on the study of existing data acquisition systems and machine learning algorithms of operators, an adaptive algorithm for MOS evaluation of 5G speech quality was proposed.Firstly, POLQA algorithm test equipment based on full parameter evaluation obtained training data to ensure the accuracy of training samples.Secondly, by means of data enhancement, the difficulty of acquiring poor quality samples was solved.Finally, based on the adaptive algorithm selection, the optimal MOS prediction model could be selected periodically and dynamically according to the timing changes of data features, so as to achieve large-scale and intelligent evaluation of 5G voice quality.…”
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One of the approaches to the organization of the modern educational process by A. G. Savenko, Yu. A. Skudnyakov

“…A visual and mathematical model, an diagram of information and educational system, an algorithm for the rotation of trainees are presented. …”
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Distributed Sparse Manifold-Constrained Optimization Algorithm in Linear Discriminant Analysis by Yuhao Zhang, Xiaoxiang Chen, Manlong Feng, Jingjing Liu

“…Linear discriminant analysis (LDA) is a supervised learning dimensionality reduction technique that has been widely used in data preprocessing for dimensionality reduction and video image processing tasks. …”
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Automated Input Variable Selection for Analog Methods Using Genetic Algorithms by P. Horton, O. Martius, S. L. Grimm

“…Previous work showed the potential of genetic algorithms (GAs) to optimize most of the AM parameters. …”
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The GENDULF algorithm: mining transcriptomics to uncover modifier genes for monogenic diseases by Noam Auslander, Daniel M Ramos, Ivette Zelaya, Hiren Karathia, Thomas O. Crawford, Alejandro A Schäffer, Charlotte J Sumner, Eytan Ruppin

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Wafer Defect Classification Algorithm With Label Embedding Using Contrastive Learning by Jeongjoon Hwang, Somi Ha, Dohyun Kim

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Technologies and mechanisms of crisis management in educational institutions by Cychuk Оlga

“…Crisis management is a complex and relevant area of activity of any organization in our time, the implementation of which is impossible without the use of technologies, tools, methods and compliance with the relevant algorithm. The purpose of the study is to generalize and systematize technologies and mechanisms of crisis management in educational institutions. …”
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Precise wind allocation scheme decision based on attraction-repulsion algorithm by NI Jingfeng, CHEN Dunwei, LIU Yujiao

“…Actual application results in a coal mine demonstrated that the AROA-based algorithm reduced the fan airflow by 11.2%, while the fan air pressure decreased by 10.1%, ultimately achieving a 20.7% reduction in power consumption. …”
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Optimization of stamping workshop line layout based on improved PSO algorithm by Yaxuan Bi, Xin Ning, Shuai Zhao

“…Additionally, the enhanced algorithm outperformed traditional PSO in terms of convergence speed and solution quality. …”
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DATA DRIVEN RULE-BASED PEAK SHAVING ALGORITHM FOR SCHEDULING REFRIGERATORS by Daniel KWEGYIR, Francis Effah BOAFO, Daniel OPOKU, Emmanuel Asuming FRIMPONG

“…In the real-time mode, the algorithm dynamically adjusts refrigerator operations based on real-time mismatch calculations between predicted demand and generation. …”
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Optimization of Deep Neural Networks Using a Micro Genetic Algorithm by Ricardo Landa, David Tovias-Alanis, Gregorio Toscano

“…By exploring different representations and objective functions, including classification accuracy, hidden neuron ratio, minimum redundancy, and maximum relevance for feature selection, eight algorithmic variants were developed, with six variants performing both hidden layers reduction and feature-selection tasks. …”
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Two-Stage Genetic Algorithm for Optimization Logistics Network for Groupage Delivery by Ivan P. Malashin, Vadim S. Tynchenko, Igor S. Masich, Denis A. Sukhanov, Daniel A. Ageev, Vladimir A. Nelyub, Andrei P. Gantimurov, Alexey S. Borodulin

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METHODOLOGICAL PRINCIPLES OF EDUCATIONAL AND PSYCHOLOGICAL CHATBOT DEVELOPMENT by Vitaliy Panok, Anatoliy Shevchenko, Maksym Nazar, Denys Starkov, Dmytro Meshcheriakov, Andriy Shevtsov

“…These principles include empirical justification and effectiveness assessment, personalization of user interactions, adherence to ethical principles (protection of users' life, health, and well-being, ensuring their confidentiality, ensuring the accuracy and objectivity of the provided information), accessibility and scalability, interactivity, interdisciplinary approach, integration of new technologies and approaches, and testing. A general algorithm for the development of educational and psychological chatbots, consisting of 8 stages, has been prepared. …”
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Analysis of random factors of the self-education process by A. A. Solodov

“…The aim of the study is the statistical description of the random factors of the self-educationт process, namely that stage of the process of continuous education, in which there is no meaningful impact on the student’s educational organization and the development of algorithms for estimating these factors. …”
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Binocular stereo vision-based relative positioning algorithm for drone swarm by Qing Cheng, Yazhe Wang

“…This model achieves a 65.5% reduction in parameter count, a 62.7% reduction in FLOPs, and a 1.8% increase in accuracy compared to the original detection model. …”
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Multi-scale Logo detection algorithm based on convolutional neural network by Yuchao JIANG, Lixin JI, Chao GAO, Shaomei LI

“…Aiming at the requirements for multi-scale Logo detection in natural scene images,a multi-scale Logo detection algorithm based on convolutional neural network was proposed.The algorithm was based on the realization of two-stage object detection.By constructing feature pyramids and adopting layer-by-layer prediction,multi-scale region proposals were generated.The multi-layer feature maps in convolutional neural networks were fused to enhance the feature representation.The experimental results on the FlickrLogos-32 dataset show that compared with the baseline,the proposed algorithm can improve the recall rate of region proposals,and can improve the performance of small Logo detection while ensuring the accuracy of large and middle Logo,proving the superiority of the proposed algorithm.…”
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Two-Step Phase Retrieval Algorithm Using Single-Intensity Measurement by Cheng Zhang, Meiqin Wang, Qianwen Chen, Dong Wang, Sui Wei

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Optimizing Renewable Energy Integration Using IoT and Machine Learning Algorithms by Orken Mamyrbayev, Ainur Akhmediyarova, Dina Oralbekova, Janna Alimkulova, Zhibek Alibiyeva

“…This study aims to optimize renewable energy integration using Internet of Things (IoT) technology and machine learning (ML) algorithms. The study was conducted across 30 renewable energy sites in the United States over six months (April-September 2023), encompassing solar, wind, and hydroelectric installations. …”
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