A Cooperative Spectrum Sensing Method Based on Empirical Mode Decomposition and Information Geometry in Complex Electromagnetic Environment by Yonghua Wang, Shunchao Zhang, Yongwei Zhang, Pin Wan, Jiangfan Li, Nan Li

“…In a complex electromagnetic environment, there are cases where the noise is uncertain and difficult to estimate, which poses a great challenge to spectrum sensing systems. …”
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Offshore Wind Farm Layout Optimization Considering the Power Collection System Cost by S. G. Obukhov, D. Y. Davydov

“…This is 7–11 % higher than the result obtained by using the MST algorithm, which performs the construction of a circuit of cable joints of a simplified topology. …”
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Encryption Of Speech Signal With Multiple Secret Keys by Dalila Slimani, Fatiha Merazka

“…Moreover, the performance of the proposed algorithm is also estimated by correlation coefficient quantity. …”
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An elliptically symmetric fisher distribution and its application in statistics of discontinuities in rock mass by Shuang Wang, Jun Sun, Yi Cheng, Fumin Shu, Cunjia Qiu

“…Serving as a general form of the Fisher distribution, the model retains the simplicity, interpretability, and ease of calculation of the Fisher distribution while expanding its applicability. Parameter estimation and data simulation algorithms for the model are presented, demonstrating its efficiency and versatility. …”
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The Applications of Artificial Intelligence and Digital Twin in Power Systems: An In-Depth Review by Ghazal Rahmani-Sane, Sasan Azad, Mohammad Taghi Ameli, Sasan Haghani

“…Power systems supporting modern life are no exception to this transformative wave. This paper stands as the first comprehensive review of various AI techniques in power systems, spanning applications such as load forecasting, security assessment, voltage stability assessment, load shedding (LS), false data injection attack (FDIA) detection, state estimation and localization, fault detection and location, and power quality disturbances (PQDs) detection. …”
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Ultrasonic Beamforming-Based Visual Localisation of Minor and Multiple Gas Leaks Using a Microelectromechanical System (MEMS) Microphone Array by Tao Wang, Jiawen Ji, Jianglong Lan, Bo Wang

“…By processing the array signals using beamforming algorithms, an acoustic spatial power spectrum is obtained, which facilitates the estimation of the locations of potential gas leak sources. …”
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Optimized window functions for spectral analysis based on digital filters by R.V. Petrosian

“…The proposed approach also shows promising potential for further development through the integration of machine learning techniques and heuristic algorithms, enabling automatic tuning of window parameters depending on analysis conditions.…”
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Spectral Methods in Spatial Statistics by Kun Chen, Lianmin Zhang, Maolin Pan

“…To alleviate the numerical challenges, we construct a nonparametric estimator called periodogram of spatial version to represent the sample property in frequency domain, because periodogram requires less computational operation by fast Fourier transform algorithm. …”
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Severity Classification of a Seismic Event based on the Magnitude-Distance Ratio Using Only One Seismological Station by Luis Hernán Ochoa Gutiérrez, Luis F Niño, Carlos A. Vargas

“…Seismic event characterization is often accomplished using algorithms based only on information received at seismological stations located closest to the particular event, while ignoring historical data received at those stations. …”
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Compressive Sensing in Power Engineering: A Comprehensive Survey of Theory and Applications, and a Case Study by Lekshmi R. Chandran, Ilango Karuppasamy, Manjula G. Nair, Hongjian Sun, Parvathy Krishnan Krishnakumari

“…This survey explores the theoretical foundations of CS, including sensing matrices, sparse bases, and recovery algorithms, with a focus on its applications in power engineering. …”
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Adaptive Control for Complex Systems with Dynamics and Time-Varying Powers by Lingrong Xue, Zhen-Guo Liu

“…This work focuses on presenting a control algorithm to investigate nonlinear systems, which contain time-varying powers, inverse dynamics, and uncertainties. …”
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Cross-Technology Interference-Aware Rate Adaptation in Time-Triggered Wireless Local Area Networks by Hanjin Kim, Young-Jin Kim, Won-Tae Kim

“…The framework includes a CTI identification model and CTI-aware rate selection algorithms. Leveraging short-time Fourier transform, the identification model captures the time–frequency–power characteristics of CTI signals, enabling the estimation of the average power of various heterogeneous wireless technologies employed by interfering devices. …”
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HuBot: A biomimicking mobile robot for non-disruptive bird behavior study by Lyes Saad Saoud, Loïc Lesobre, Enrico Sorato, Saud Al Qaydi, Yves Hingrat, Lakmal Seneviratne, Irfan Hussain

“…By employing advanced real-time deep-learning algorithms, including YOLOv9 for detection, MobileSAM for segmentation, and vision transformer (ViT) for depth estimation, HuBot semi-autonomously tracks individual birds, providing unprecedented insights into their individual behavior, social interactions, and habitat use. …”
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Measuring Respiration Rate from Speech by Sidharth Abrol, Biswajit Das, Srikanth Nallanthighal, Okke Ouweltjes, Ulf Grossekathofer, Aki Härmä

“…We use deep learning models to predict respiratory signals during speech-breathing, from which the respiration rate is estimated. Bilingual data from a large clinical study (N = 1,005) are used to develop and evaluate a multivariate time series transformer model with speech encoder embeddings as input. …”
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Synthesis Based on Linearization of Vector Speed Control of an Induction Motor without a Speed Sensor by O. F. Opeiko

“…The simulation of the system was carried out using a simulation model that takes into account the digital software-algorithmic method for generating a microcontroller control signal, as well as electromagnetic processes under conditions of pulse-width modulation in an electric energy converter and an electric motor, the use of the values of the rotor flow coupling vector estimated by the model in coordinate transformations of the system, the formation of a spatial vector of the converter voltage. …”
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MSKT: multimodal data fusion for improved nursing management in hemorrhagic stroke by Ting Zhou, Dandan Li, Jingfang Zuo, Aihua Gu, Li Zhao

“…Results The proposed MSKT-NSGP model outperformed traditional algorithms in prediction accuracy, computational efficiency, and uncertainty handling. …”
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Hybrid Series of Carbon‐Vacancy Electrodes for Multi Chemical Vapors Diagnosis Using a Residual Multi‐Task Model by Tianci Liu, Yun Ji Hwang, Lu Zhang, Jongwoo Hong, Teajong Hwang, Seong Chan Jun

“…Artificial intelligence (AI) integrated gas sensor systems effectively enable multi‐gas detection using specialized algorithms. Nevertheless, these algorithms are prone to overfitting owing to their high model complexity; this study proposes a sensor array that engineers carbon vacancies in graphene oxide via metal ion doping and high‐temperature reduction, enabling high‐sensitivity, simultaneous detection of various gases at low temperatures (20 °C). …”
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Numerical Studies for Fractional-Order Logistic Differential Equation with Two Different Delays by N. H. Sweilam, M. M. Khader, A. M. S. Mahdy

“…Also, FOLE is studied using variational iteration method (VIM) and the fractional complex transform is introduced to convert fractional Logistic equation to its differential partner, so that its variational iteration algorithm can be simply constructed. …”
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Improving probabilistic infectious disease forecasting through coherence. by Graham Casey Gibson, Kelly R Moran, Nicholas G Reich, Dave Osthus

“…Many models produce independent forecasts for each geographical unit, ignoring the constraint that the national wILI is a weighted sum of regional wILI, where the weights correspond to the population size of the region. We propose a novel algorithm that transforms a set of independent forecast distributions to obey this constraint, which we refer to as probabilistically coherent. …”
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Characterization and Selection of WiFi Channel State Information Features for Human Activity Detection in a Smart Public Transportation System by Roya Alizadeh, Yvon Savaria, Chahe Nerguizian

“…Principal Component Analysis (PCA) is performed before the decision tree algorithm. Reported results are compared with those obtained from the existing methods. …”
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