Compensation for vibration signal power variance when changing equipment speed mode by D. A. Kechik

“…Preliminary compensation of vibration power variation caused by variable operation speed has proved to be effective for improving vibrational diagnostic system results. The proposed algorithm was validated on such statistical parameters of vibration as RMS and peak-factor of vibration signal.…”
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Physical Parameters of 12,201 ASAS-SN Contact Binaries Determined by a Neural Network by Kai Li, Li-Heng Wang

“…Traditional approaches of light-curve analysis are inadequate for investigating such an extensive number of systems. This paper builds on prior research to present an advanced neural network model combined with the Markov Chain Monte Carlo algorithm and including spot parameters. …”
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Artificial intelligence-aided endoscopic in-line particle size analysis during the pellet layering process by Orsolya Péterfi, Nikolett Kállai-Szabó, Kincső Renáta Demeter, Ádám Tibor Barna, István Antal, Edina Szabó, Emese Sipos, Zsombor Kristóf Nagy, Dorián László Galata

“…In this study, an artificial intelligence-based machine vision system was developed for in-line particle size analysis during the pellet layering process. …”
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Spatially and temporally correlated channel estimation and detection for comparator network-aided MIMO receivers with 1-bit ADCs by Luiz Sampaio, Lukas T. N. Landau

“…Numerical simulations highlight a tenfold improvement in performance with respect to symbol error rate of a multi-user uplink MIMO system.…”
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An Adaptive Neural Network Fuzzy Sliding Mode Controller for Tracking Control of Deep-Sea Mining Vehicles by Shidong Wang, Zida Shan, Jialuan Xiao, Junjun Cao, He Zhang, Nan Sun

“…The stability of the algorithm under unknown external disturbance was confirmed via Lyapunov stability analysis. …”
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State of charge estimation of lithium-ion batteries in an electric vehicle using hybrid metaheuristic - deep neural networks models by Zuriani Mustaffa, Mohd Herwan Sulaiman, Jeremiah Isuwa

“…However, traditional estimation methods often struggle with the nonlinear and dynamic behavior of battery systems, leading to inaccuracies that compromise the efficiency and reliability of electric vehicles. …”
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Source-storage-load optimization control technology of DC microgrid with virtual energy storage by WANG Chang, JIANG Yu, FU Shouqiang, SHU Yinan, ZHANG Xiangyu

“…On this basis, under the coordinated control of source and storage of DC microgrid, particle swarm optimization algorithm is used to optimize the design of virtual capacitance values in different periods of time to improve the economic benefits of the system. …”
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Multiobjective Optimal Control of Longitudinal Seismic Response of a Multitower Cable-Stayed Bridge by Geng Fangfang, Ding Youliang

“…The dynamic behavior of a multitower cable-stayed bridge with the application of partially longitudinal constraint system using viscous fluid dampers under real earthquake ground motions is presented. …”
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Analysis of Comprehensive Artificial Neural Network Computer Media Aided Construction of Economic Forecasting Model by Tianfeng Li

“…Based on this, this paper first analyzes the economic system prediction, then studies the ANN medium model and learning algorithm, and finally verifies the effectiveness of the ANN economic prediction model integrating computer medium.…”
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Efficient Model Calibration Using Submodels by P. T. M. Vermeulen, G. M. C. M. Janssen, T. Kroon

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The multi-omics analysis identifies a novel endoplasmic reticulum stress and immune related genes signature in lung adenocarcinoma by Danhe Huang, Yuying Liu, Mingyu Yuan, Xiongwei Wang, Lianqing Hong

“…The nomogram demonstrated enhanced predictive accuracy compared to traditional staging systems. High-risk patients exhibited immunosuppressive features. …”
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Server consolidation: A technique to enhance cloud data center power efficiency and overall cost of ownership by Mueen Uddin, Mohammed Hamdi, Abdullah Alghamdi, Mesfer Alrizq, Mohammad Sulleman Memon, Maha Abdelhaq, Raed Alsaqour

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Research and application of deep learning object detection methods for forest fire smoke recognition by Luhao He, Yongzhang Zhou, Lei Liu, Yuqing Zhang, Jianhua Ma

“…In summary, the YOLOv11x algorithm demonstrates excellent performance and broad application potential in forest fire smoke recognition, providing robust technical support for early fire warning systems and offering valuable insights for the design of intelligent monitoring systems in related fields.…”
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Artificial Neural Network Prediction on negative and positive activation energy of magnetohydrodynamic nanofluid flow with multiple slips by Shovan Sarkar, Hiranmoy Mondal, Prabir Kumar Kundu

“…Through the use of similarity transformations, the system of non-linear partial differential equations that represent the fluid flow has been converted into a system of non-linear ordinary differential equations and then solved numerically with the help of Spectral Quasi-linearization Method. …”
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Prediction of magnetohydrodynamics fluid flow with viscous dissipation through artificial neural network by Sewli Chatterjee

“…Using the proper similarity transformations, the system of non-linear partial differential equations was transformed into a system of non-linear ordinary differential equations. …”
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Heisenberg Group-Based Digital Signatures for Secure Communications by Najla Althuniyan, Ahmed Alamer, Awais Yousaf, Muhammad Waseem, Sarah Aljohani

“…This paper proposes a new digital signature algorithm that employs the Heisenberg group over a prime field and exploits its structure to provide strong cryptographic properties. …”
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An estimation method of lightning-voltage sag severity based on adaptive association rule mining by WANG Ying, LEI Lei, HU Wenxi, XIAO Xianyong

“…In view of lightning, which is the main cause of voltage sag, the widely deployed lightning location system has the function of predicting lightning activity parameters. …”
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A Real-Time Vision-Based Adaptive Follow Treadmill for Animal Gait Analysis by Guanghui Li, Salif Komi, Jakob Fleng Sorensen, Rune W. Berg

“…Here, we introduce a series of real-time adaptive treadmill systems utilizing both marker-based visual fiducial systems (colored blocks or AprilTags) and marker-free (pre-trained models) tracking methods powered by advanced computer vision to track experimental animals. …”
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Communication-constrained multi-UAV task allocation method for non-independent tasks by Jing Chu, Fei Yan, Zhongxian Xu

“…Heterogeneous multi-UAV system can effectively collaborate to execute complex tasks through complementary capabilities. …”
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A Biologically Interfaced Evolvable Organic Pattern Classifier by Jennifer Y. Gerasimov, Deyu Tu, Vivek Hitaishi, Padinhare Cholakkal Harikesh, Chi‐Yuan Yang, Tobias Abrahamsson, Meysam Rad, Mary J. Donahue, Malin Silverå Ejneby, Magnus Berggren, Robert Forchheimer, Simone Fabiano

“…Abstract Future brain–computer interfaces will require local and highly individualized signal processing of fully integrated electronic circuits within the nervous system and other living tissue. New devices will need to be developed that can receive data from a sensor array, process these data into meaningful information, and translate that information into a format that can be interpreted by living systems. …”
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