Towards using smartphones as hyperspectral cameras by D. Reutsky, A. Pogadaev, D. Vladimirov, E. Ershov

“…Spectral reconstruction (SR, recovering spectra from RGB measurements) is a vital problem of computational photography. However, even recent algorithms do not provide acceptable accuracy. …”
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Numerical Methods of Solving Cauchy Problems with Contrast Structures by A. A. Belov, N. N. Kalitkin

“…This argument provides high reliability of the calculation and sufficiently decreases the complexity of computations for low-order systems. In order to increase the efficiency, we propose an automatic step selection algorithm based on curvature of the integral curve. …”
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Fall prediction in a quiet standing balance test via machine learning: Is it possible? by Juliana Pennone, Natasha Fioretto Aguero, Daniel Marczuk Martini, Luis Mochizuki, Alexandre Alarcon do Passo Suaide

“…Machine learning is a computer-science area that uses statistics and optimization methods in a large amount of data to make outcome predictions. …”
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Guiding a supersonic controlled object in a multi-position air basing radar by V. E. Markevich, V. V. Legkostup

“…The paper proposes various approaches to eliminate a priori uncertainty regarding the estimated coordinates in a limited set of measuring radio engineering positions.An analytical method is considered for constructing an optimal state control device for a nonlinear multidimensional and multiply connected dynamic object, taking into account the constraints, which allows one to obtain finite computational relations in a closed algebraic form. …”
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Machine learning combined with multi-omics to identify immune-related LncRNA signature as biomarkers for predicting breast cancer prognosis by Yuxing Liu, Jintao Chen, Daifeng Yang, Chenming Liu, Chunhui Tang, Shanshan Cai, Yingxuan Huang

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Robotic irrigation complex for crop cultivation in irrigated areas by M. G. Zagoruiko, D.  A. Soloviev, N. F. Ryzhko, S. N. Ryzhko

“…(Materials and methods) The paper evaluates the signifi cance of developing a design that can optimize the process of crop cultivation and details the applications and databases integrated within the central computing center. …”
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ACCOUNTING OF INSTRUMENTAL ERRORS IN THE CONTROL OF WINDINGS OF ELECTRICAL MACHINES WITH THE USE OF QUASI-PERIODIC TEST SIGNALS by A. A. Sheinikov, Yu. V. Suchodolov, V. V. Zelenko

“…Ideally, the shape of the optimal filter frequency response should coincide with the shape of the spectrum of the useful signal, which determines the complexity of such a filter. …”
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Channel and Power Allocation for Multi-Cell NOMA Using Multi-Agent Deep Reinforcement Learning and Unsupervised Learning by Ming Sun, Yihe Zhong, Xiaoou He, Jie Zhang

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Distributed Spectrum Sharing in Cognitive Radio Networks: A Pricing-Based Decomposition Approach by Yanmin Zhu, Wei Sun, Jiadi Yu, Tong Liu, Bo Li

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The integration of compressive sensing and clustering for date gathering in unmanned aircraft system–aided networks by Xiangmao Chang, Quan Wang, Zhiguo Qu, Yanchao Zhao

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Enhancing Sink-Location Privacy in Wireless Sensor Networks through -Anonymity by Guofei Chai, Miao Xu, Wenyuan Xu, Zhiyun Lin

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Joint power control and user grouping for uplink power domain non-orthogonal multiple access by Bilal Ur Rehman, Mohammad Inayatullah Babar, Arbab Waheed Ahmad, Hesham Alhumyani, Gamil Abdel Azim, Rashid A. Saeed, Sayed Abdel Khalek

“…Owing to the combinatorial nature of the underlying optimization problem involving user pairing/grouping scheme, power control and decoding order, the computational complexity in determining optimal and sub-optimal solutions remains considerably high. …”
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Supervisor Reconfiguration for Deadlock Prevention by Resources Reallocation by Miao Liu, Shouguang Wang, Zhiwu Li

“…The design problem of an optimal supervisor is in general NP-hard. A computationally efficient method often ends up with a suboptimal one. …”
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Safety Helmet Wearing Detection Based on Jetson Nano and Improved YOLOv5 by Zaihui Deng, Chong Yao, Qiyu Yin

“…Then, the modified model is optimized using the quantification and layer fusion operations, further reducing the computing power and accelerating the reasoning speed. …”
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Enhanced Adaptive Sine Multi-Taper Power Spectral Density Estimation for System Performance Evaluation in Low-Frequency Gravitational Wave Detection by Caiyun Liu, Yang Li, Changkang Fu, Hongming Zhang, Qiang Wang, Dong He, Yongmei Huang

“…However, existing adaptive sine multi-taper algorithms suffer from low resolution and high computational complexity in obtaining the optimal cone number across the entire frequency domain, which has hindered its application in this field. …”
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Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection by Muhammad Shafiq, J. Kavitha, Dhruva R. Rinku, N. K. Senthil Kumar, Kamal Poon, Amar Y. Jaffar, V. Saravanan

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Predicting the Energy Consumption in Chillers: A Comparative Study of Supervised Machine Learning Regression Models by Mohamed Salah Benkhalfallah, Sofia Kouah, Saad Harous

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Bilinear Sequence Regression: A Model for Learning from Long Sequences of High-Dimensional Tokens by Vittorio Erba, Emanuele Troiani, Luca Biggio, Antoine Maillard, Lenka Zdeborová

“…Building on recent methodological progress, we compute the Bayes-optimal generalization error for the model in the limit of long sequences of high-dimensional tokens and provide a message-passing algorithm that matches this performance. …”
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Recent advances in machine learning applications for MXene materials: Design, synthesis, characterization, and commercialization for energy and environmental applications by Sodiq Abiodun Kareem, Makinde Akindeji Ibrahim, Justus Uchenna Anaele, Olajesu Favor Olanrewaju, Emmanuel Omosegunfunmi Aikulola, Michael Oluwatosin Bodunrin

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On Deployment of Multiple Base Stations for Energy-Efficient Communication in Wireless Sensor Networks by Yunyue Lin, Qishi Wu, Xiaoshan Cai, Xiaojiang Du, Ki-Hyeon Kwon

“…We propose an iterative algorithm based on rigorous mathematical derivations and use linear programming to compute the optimal routing paths for data transmission. …”
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