A Novel Artificial Bee Colony Approach of Live Virtual Machine Migration Policy Using Bayes Theorem by Gaochao Xu, Yan Ding, Jia Zhao, Liang Hu, Xiaodong Fu

“…Green cloud data center has become a research hotspot of virtualized cloud computing architecture. Since live virtual machine (VM) migration technology is widely used and studied in cloud computing, we have focused on the VM placement selection of live migration for power saving. …”
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NET GRAF CALCULATION METHOD FOR JOB COMPLETION CONSIDERING OF RESOURSES AVAILABALE by G. V. Golovchenko, M. I. Rebezova

“…The numerical method is proposed for solving the optimization problem. The method is implemented using the Mathcad computing environment and validated by specific examples.The method is implemented as a complex automated solution for operational management of airport services in the critical situations.…”
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Biobjective Scheduling for Joint Parallel Machines with Sequence-Dependent Setup by Taking Pareto-Based Approach by Wichai Srisuruk, Kanchala Sudtachat, Paramate Horkaew

“…To this end, different computational intelligence algorithms, i.e., adaptive nearest neighbour search and modified tabu search, are employed in turn and then benchmarked and validated against combinatorial mathematical baseline, on both small and large problem sets. …”
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Machine learning-based approach for bandwidth and frequency prediction of circular SIW antenna by Md Mahabub Alam, Nurhafizah Abu Talip Yusof, Ahmad Afif Mohd Faudzi, Md Raihanul Islam Tomal, Md Ershadul Haque, Md. Suaibur Rahman

“…Abstract Machine Learning (ML) has significantly transformed antenna design by enabling efficient optimization of geometrical parameters, modeling complex electromagnetic behavior, and accelerating performance prediction with reduced computational cost. …”
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IHML: Incremental Heuristic Meta-Learner by Onur Karadeli, Kıymet Kaya, Şule Gündüz Öğüdücü

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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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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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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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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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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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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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Minimization of Resource Consumption with URLLC Constraints for Relay-Assisted IIoT by Yujie Zhao, Tao Peng, Yichen Guo, Yijing Niu, Wenbo Wang

“…Simulation results show that by adopting near-optimal PEPs, our approach reduces computation time by two orders of magnitude while limiting the achievable rate loss to within 1% compared to the exhaustive search method. …”
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Rate-Adaptive LiDAR Point Cloud Streaming Over LEO Satellite Networks by Dominic Laniewski, Nils Aschenbruck

“…We develop a novel, real-time capable rate-adaptation algorithm leveraging Google Draco. It predicts optimal encoding parameters for each mini point cloud to maximize the point cloud quality under varying network conditions. …”
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Optimising entanglement distribution policies under classical communication constraints assisted by reinforcement learning by Jan Li, Tim Coopmans, Patrick Emonts, Kenneth Goodenough, Jordi Tura, Evert van Nieuwenburg

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Noisy intermediate-scale quantum simulation of the one-dimensional wave equation by Lewis Wright, Conor Mc Keever, Jeremy T. First, Rory Johnston, Jeremy Tillay, Skylar Chaney, Matthias Rosenkranz, Michael Lubasch

“…By varying the qubit count we study the interplay between the algorithmic and physical gate errors to identify the optimal working point of minimum total error. …”
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