Neural Network-Based Nonlinear Fixed-Time Adaptive Practical Tracking Control for Quadrotor Unmanned Aerial Vehicles by Jianhua Zhang, Yang Li, Wenbo Fei

“…First, by combining the radial basis function neural networks (NNs) with virtual parameter estimating algorithms, a NN adaptive control scheme is developed for UAVs. …”
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WorldSkills International and Its Place in Higher Education System by A. V. Kirichenko, M. N. Strikhanov

“…The article includes algorithms for conducting demonstration WorldSkills standards exam, and makes the case for integrated studies to identify trends in the formation and development of professionalism in various activities, develop models of successful specialist, as well as use diagnostic technology to assess his/her personal and professional qualities. …”
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Machine learning integrated with in vitro experiments for study of drug release from PLGA nanoparticles by Yu Sun, Shuhuai Qin, Yingli Li, Naimul Hasan, Yan Vivian Li, Jiangguo Liu

“…Experimental data collected from about 50 papers are analyzed by machine learning algorithms including linear regression, principal component analysis, Gaussian process regression, and artificial neural networks. …”
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Spectral efficient optimisation for multihop relay networks adopting HARQ schemes by Junmei Han, Yong Xi, Jibo Wei

“…Hence, low‐complexity iterative algorithms are proposed to obtain the optimisation strategies. …”
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A comparison of several intrusion detection methods using the NSL-KDD dataset by hazem salim abdullah

“…This research investigates the way to classify and predict cyber-attacks on the NSL-KDD dataset using intrusion detection methods the investigation contrasts the capabilities of various algorithms, including RNN, MLP, CNN-LSTM, and ANN, in recognizing attacks. …”
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Some New Transformation Properties of the Nielsen Generalized Polylogarithm by Nina Shang, Qinghua Feng, Huizeng Qin

“…By use of these transformation formulas presented, new fast algorithms for Nielsen generalized polylogarithm Sn,p(z) can be designed. …”
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Efficient Wireless Broadcasting through Joint Network Coding and Beamforming by Monchai Lertsutthiwong, Thinh Nguyen, Bechir Hamdaoui

“…Given the large number of MSs and the small number of transmit antennas, the BS must decide, at any transmission opportunity, which group of MSs it should transmit packets to, in order to maximize the overall throughput. We propose two algorithms for grouping MSs that take advantage of NC and the orthogonality of user channels to improve the overall throughput. …”
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Correlation and Spectral Properties of a Coupled Nonlinear Dynamical System in the Context of Numerical Weather Prediction and Climate Modeling by Sergei Soldatenko, Denis Chichkine

“…This dynamical system is frequently applied for studying various aspects of atmospheric and climate dynamics, as well as for estimating the effectiveness of numerical algorithms and techniques used in numerical weather prediction, data assimilation, and climate simulation. …”
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Complete verification of strong BSD for many modular abelian surfaces over ${\mathbf {Q}}$ by Timo Keller, Michael Stoll

“…We develop the theory and algorithms necessary to be able to verify the strong Birch–Swinnerton-Dyer Conjecture for absolutely simple modular abelian varieties over ${\mathbf {Q}}$ . …”
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Statistical Complexity Analysis of Sleep Stages by Cristina D. Duarte, Marianela Pacheco, Francisco R. Iaconis, Osvaldo A. Rosso, Gustavo Gasaneo, Claudio A. Delrieux

“…Using classification algorithms, we evaluate feature sets derived from both standard permutation entropy (PE) and GWPE to determine which set performs better in classifying sleep stages, demonstrating that GWPE significantly enhances sleep stage differentiation, particularly in identifying the transition between N1 and REM sleep. …”
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Design of a Computationally Efficient Dynamic System-Level Simulator for Enterprise LTE Femtocell Scenarios by J. M. Ruiz-Avilés, S. Luna-Ramírez, M. Toril, F. Ruiz, I. de la Bandera, P. Muñoz, R. Barco, P. Lázaro, V. Buenestado

“…The resulting tool can be used to test and validate optimization algorithms in the context of Self-Organizing Networks (SON).…”
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Bean leaf image dataset annotated with leaf dimensions, segmentation masks, and camera calibrationMendeley Data by Karla Gabriele Florentino da Silva, Paulo Victor de Magalhães Rozatto, Kaio de Oliveira e Sousa, Lucas Dias Hudson, Artur Welerson Sott Meyer, Alemilson Fabiano Silva, Igor Tibiriçá Mendes, Alex Rodrigues Borges, Leandro Elias Morais, Luiz Maurílio da Silva Maciel, Saulo Moraes Villela, Helio Pedrini, Marcelo Bernardes Vieira

“…This dataset can be useful for developing deep learning algorithms for leaf dimensioning and related problems. …”
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Overview of development and challenges of attitude determination for rotary wing UAVs based on GNSS by Yejia Zeng, Zukun Lu, Zukun Lu, Yuchen Xie, Yuchen Xie, Binbin Ren, Binbin Ren, Yi Yu, Shaojie Ni, Shaojie Ni

“…This paper mainly discusses the relevant theories of using GNSS for RUAV’s attitude determination, and introduces the relevent key aspects that determine attitude accuracy in the attitude resolution process, such as integer ambiguity fixing, attitude solution algorithms, and integrated attitude measurement. It especially elaborates on the challenges that faced to be solved for current RUAVs to use the GNSS system for real-time and guarded attitude measurement.…”
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Modeling Repayment Behavior of Consumer Loan in Portfolio across Business Cycle: A Triplet Markov Model Approach by Shou Chen, Xiangqian Jiang

“…The corresponding Markov chain Monte Carlo algorithms of the particular TMM are also developed for estimating the model parameters. …”
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The Effects of Spectral Pretreatments on Chemometric Analyses of Soil Profiles Using Laboratory Imaging Spectroscopy by Henning Buddenbaum, Markus Steffens

“…We found that spectral preprocessing has a minor influence on chemometry results when powerful regression algorithms like PLSR are used.…”
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The Interplay Between Loss Functions and Structural Constraints in Dependency Parsing by Robin Kurtz, Marco Kuhlmann

“…Several of the decoding algorithms that have been applied to this task employ structural restrictions on candidate solutions, such as the restriction to projective dependency trees in syntactic parsing, or the restriction to noncrossing graphs in semantic parsing. …”
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Evaluation of Novel AI Architectures for Uncertainty Estimation by Erik Pautsch, John Li, Silvio Rizzi, George K. Thiruvathukal, Maria Pantoja

“…This paper delineates key considerations for using HPC in uncertainty estimations in DL, offering insights that guide the integration of algorithms and hardware for robust DL applications, especially in computer vision. …”
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A Survey of Transportation Problems by Ocotlán Díaz-Parra, Jorge A. Ruiz-Vanoye, Beatriz Bernábe Loranca, Alejandro Fuentes-Penna, Ricardo A. Barrera-Cámara

“…This paper aims at being a guide to understand the different types of transportation problems by presenting a survey of mathematical models and algorithms used to solve different types of transportation modes (ship, plane, train, bus, truck, Motorcycle, Cars, and others) by air, water, space, cables, tubes, and road. …”
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Modern Challenges for Oil and Gas Education by V. G. Martynov, V. N. Koshelev, A. V. Dushin

“…The article concludes that the challenges of the pandemic to higher education made it possible to find algorithms for interaction between students and teachers in the online environment, showed the need to improve the methodological qualifications of teachers, motivational and psychological support for participants in the educational process, accelerate the development of digital resources.…”
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Research progress and current applications of nutrient profiling systems domestically and internationally by Zhuo SUN, Jiangyue YU, Qi SONG, Shupeng MAI, Zhengyuan WANG, Jiajie ZANG

“…Nutrient profiling systems (NPS) are scientific methods that classify or rank foods based on their nutrient composition and apply algorithms to the field of nutrition and health to help consumers make healthy food choices. …”
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