Integrating Machine Learning and Material Feeding Systems for Competitive Advantage in Manufacturing by Müge Sinem Çağlayan, Aslı Aksoy

“…The research employs six machine learning (ML) algorithms—logistic regression (LR), decision trees (DT), random forest (RF), support vector machines (SVM), K-nearest neighbors (K-NN), and artificial neural networks (ANN)—to develop a multi-class classification model for material feeding system selection. …”
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Pedagogical assistance as a mechanism of socio-pedagogical adaptation of cadets of military universities by S. Yartsev

“…We also analyze the components of pedagogical assistance: personal, cognitive, process, vector, adaptive. Conclusion. According to the results of the study, it can be concluded that the combination of all components gives a kind of integral education, which includes the desire for success at various personal levels, awareness in the development of new knowledge, the search for personal meanings, the productive implementation of personal choice, the preparation of a specific plan and its implementation of joint activities with subsequent reflection, an adaptive response the student. …”
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On the ground among the beasts, under the whisper of the stars: contributions to a zoopoetic reading of franz kafka’s work by Ricardo Gil Soeiro

“…Anchoring myself in conceptual approaches with a post-anthropocentric approach (Deleuze/Guattari, 2003; Derrida, 2006; Geier, 2016; Harel, 2020), I will examine a set of Zoopoetics mechanisms that Kafka sets in motion in Die Verwandlung, alluding to other of his stories about animals (the so-called Tiergeschichten), seeking to understand how a posthumanist prism proves capable of illuminating some of the meanings that Kafka's texts reveal, promoting, in a broadly nuanced way, a process of decentering of the human – a strategic vector for the posthumanist forma mentis.…”
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A Hybrid Forecasting System Based on Comprehensive Feature Selection and Intelligent Optimization for Stock Price Index Forecasting by Xuecheng He, Jujie Wang

“…At last, an enhanced least squares support vector machine (LSSVM) algorithm is established to obtain high-precision point prediction results, and the Gaussian process regression (GPR) algorithm is used to obtain reasonable interval prediction results. …”
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Regulatory aspects of optogenetic research and therapy for retinitis pigmentosa under EU law by Johannes Freise

“…In view of the ongoing translational process, this paper examines regulatory aspects of preclinical and clinical research as well as a therapeutic application of optogenetics in ophthalmology. …”
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Dual Polarization Optical Slicing for C-RAN in 5G Networks based on Radio-over-Fiber by Gustavo Puerto-Leguizamón, Carlos Arturo Suárez-Fajardo

“…Experimental results focus on the Error Vector Magnitude (EVM) measurements for 0.1 nm, 0.5 nm, and 1 nm dual polarized optical slices. …”
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Accounting Management and Optimizing Production Based on Distributed Semantic Recognition by Ruina Guo, Shu Wang, Guangsen Wei

“…The proposed algorithm encompasses multiple modules, including a front-end feature extraction module, a channel transmission module, and a voice quality vector quantization module. Additionally, a semantic recognition module is introduced to process the voice signals and generate prediction results. …”
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Optimization of Acceleration and Driving Force for Double-Toggle Stephenson-Chain Mold Clamping Mechanisms by Tzu-Hsia Chen, Po-Cheng Lai

“…In this paper, Stephenson-chain mechanisms were selected and subjected to a comprehensive analysis of their kinematic characteristics using vector loop and finite difference methods. The optimal design process included defining the objective function and evaluating the maximum acceleration and force ratio. …”
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A Feature-Selective Independent Component Analysis Method for Functional MRI by Yi-Ou Li, Tülay Adali, Vince D. Calhoun

“…The feature-selective scheme is achieved through a filtering operation in the source sample space followed by a projection onto the demixing vector space by a least squares projection in an iterative ICA process. …”
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Current harmonic minimum PWM strategy for traction inverter based on three-level topology by JIANG Wei, LI Zhaoyang, YIN Zhenhuan, QIU Tengfei, WANG Chenchen

“…Further exploration in this study delved into the pulse generation method of CHMPWM and the modulation mode switching method based on the flux linkage deviation vector of stators. In addition, experimental research was carried out on a small-power experimental platform, to verify the three-level inverter CHMPWM and modulation mode switching strategy. …”
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Optimizing Curriculum Vitae Concordance: A Comparative Examination of Classical Machine Learning Algorithms and Large Language Model Architectures by Mohammed Maree, Wala’a Shehada

“…Conversely, LLMs such as GPT-4, GPT-3, and LLAMA adeptly process unstructured textual content, capturing nuanced language and context with greater precision. …”
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Intelligent Optimized Combined Model Based on GARCH and SVM for Forecasting Electricity Price of New South Wales, Australia by Yi Yang, Yao Dong, Yanhua Chen, Caihong Li

“…In this paper, we propose an optimized combined forecasting model by ant colony optimization algorithm (ACO) based on the generalized autoregressive conditional heteroskedasticity (GARCH) model and support vector machine (SVM) to improve the forecasting accuracy. …”
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Science and society in the 21st century. A quarter of a century later by E. L. Choinzonov, N. V. Cherdyntseva

“…Surprisingly, the concepts of the development of world processes, relationships of different populations, as well as the tendencies of the development of humanity predicted by N.V. …”
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Impact of the Russian Stock Market on Economic Growth by E. A. Fedorova, S. O. Musienko, D. O. Afanas’ev

“…To test these hypotheses, the work employs methods of economic and mathematical modeling and building a vector autoregressive (VAR) model. The authors used the data from the International Monetary Fund (IMF), Moscow Exchange (MOEX) and Finam Investment Holding for the period from January 2000 to July 2019. …”
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Comparative analysis of supervised learning models for effluent quality prediction in wastewater treatment plants. by Liu Bo-Qi, Zhou Ding-Jie, Zhao Yang, Shi Long-Yu

“…This study evaluates the performance of five supervised learning models-AdaBoost, Backpropagation Neural Networks (BP-NN), Support Vector Machine (SVR), XGBoost, and Gradient Boosting (GB)-using data from a WWTP in Zhuhai, China. …”
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LAYOUT GENERATOR OF SMALL SIZED UNMANNED AERIAL VEHICLE by V. V. Vyshinsky, A. O. Kislovskiy

“…The algorithm was built in MATLAB and has convenient interface, which can be used for design process.…”
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Comparison of Multiple NIR Instruments for the Quantitative Evaluation of Grape Seed and Other Polyphenolic Extracts with High Chemical Similarities by Matyas Lukacs, Flora Vitalis, Adrienn Bardos, Judit Tormási, Krzysztof B. Bec, Justyna Grabska, Zoltan Gillay, Rita A. Tömösközi-Farkas, László Abrankó, Donatella Albanese, Francesca Malvano, Christian W. Huck, Zoltan Kovacs

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Modern aspects of anti-viral therapy for hepatitis D by A. S. Zheleznova, K. A. Svirin, M. Yu. Kartashov

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Development of interest in training by creation emotional and comfortable educational environment by Olga M. Shentsova

“…The Russian education system is in continuous process of modernization today. Changes in the Russian society, policy and economy exert direct impact on this process. …”
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Indicatrix of TE and TM- polarized wave velocities in crystal of classes 4mm, 3m, 6mm with magneto-electric effect by С.К. Тлеукенов, Ж.Н. Суйеркулова, С.А. Нуркенов

“…The directions of the vectors of the phase and group velocities of the polarization waves TE and TM at the boundary of a uniaxial crystal with magnetoelectric properties are considered. …”
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