Assessing Viscoelastic Parameters of Polymer Pipes via Transient Signals and Artificial Neural Networks by Mostafa Rahmanshahi, Huan-Feng Duan, Alireza Keramat, Nasim Vafaei Rad, Hossein Azizi Nadian

“…The amplitudes obtained by transforming the time-domain pressure signals to the frequency domain using the fast Fourier transform algorithm are the inputs for an artificial neural network model. …”
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Wavenumber Processing Techniques to Determine Structural Intensity and Its Divergence from Optical Measurements without Leakage Effects by Jean-Claude Pascal, Jing-Fang Li, Xavier Carniel

“…It is shown that the distortions caused by leakage effects can be removed by using advanced algorithms.…”
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Resonance Attenuation of Ultrasonic Waves in a High Viscosity Magnetic Liquid by Karolina CHARAZIAK, Marcin MARECKI, Tomasz HORNOWSKI, Arkadiusz JÓZEFCZAK, Andrzej SKUMIEL

“…The measurements were carried out using broadband method in which ultrasonic pulse that has traveled through the sample is analyzed using a Fourier transform algorithm to determine the spectra of amplitude and phase and therefore to estimate the attenuation and dispersion of a given medium. …”
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A Bayesian Framework for Single Image Dehazing considering Noise by Dong Nan, Du-yan Bi, Chang Liu, Shi-ping Ma, Lin-yuan He

“…Firstly, the Bayesian framework is transformed to meet the dehazing algorithm. Then, the probability density function of the improved atmospheric scattering model is estimated by using the statistical prior and objective assumption of degraded image. …”
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Research on Trajectory Tracking Control Method for Crawler Robot Based on Improved PSO Sliding Mode Disturbance Rejection Control by Zhiyong Yang, Qing Lang, Yuhong Xiong, Shengze Yang, Changjin Zhang, Lielei Deng, Daode Zhang

“…A vector field guidance approach is employed to transform the trajectory tracking task into a heading control problem. …”
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Unsupervised Discretization of Continuous Variables in a Chicken Egg Quality Traits Dataset by Zeynel Cebeci, Figen Yıldız

“…Discretization is a data pre-processing task transforming continuous variables into discrete ones in order to apply some data mining algorithms such as association rules extraction and classification trees. …”
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Speaker Recognition Using Wavelet Cepstral Coefficient, I-Vector, and Cosine Distance Scoring and Its Application for Forensics by Lei Lei, She Kun

“…Moreover, linear discriminant analysis (LDA) and the within-class covariance normalization (WCNN) are added to the CDS algorithm to deal with the channel variability problem. …”
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Elucidating the role of KLRD1 in coronary atherosclerosis: harnessing bioinformatics and machine learning to advance understanding by Huan Liang, Xiao Liang, Man Zheng, Shoudong Wang

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The future of immunohistochemistry: advancing precision medicine through artificial intelligence-driven spatial proteomics and multiplexed diagnostic technologies by Ruby Dhar, Arun Kumar, Subhradip Karmakar

“…Immunohistochemistry (IHC) is experiencing a significant transformation, placing it at the leading edge of precision medicine and innovative diagnostics for the future. …”
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Spectrum Fitting Approach for Passive Wireless SAW Sensor Interrogation Using Software-Defined Radio by Shihao Wang, Qi Wang, Guopeng Zhu, Lei Liu, Xinning Cao, Tingxin Ren, Yue Zhou, Hao Jin

“…However, conventional frequency estimation methods often rely on iterative algorithms with high computational complexity, limiting their real-time applicability. …”
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Comprehensive Evaluation and Trade‐Off of Top‐Level Requirements for BWB UAVs by Xinshi Suo, Zhouwei Fan, Yundong Guo, Tengzhou Xu

“…A parallelizable subset‐simulation optimization algorithm is implemented to iteratively refine the design, thereby maximizing overall system competitiveness. …”
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Effective Machine Learning Techniques for Dealing with Poor Credit Data by Dumisani Selby Nkambule, Bhekisipho Twala, Jan Harm Christiaan Pretorius

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A Heavy-Haul Railway Corrugation Diagnosis Method Based on WPD-ASTFT and SVM by Binghuan Xiao, Jinzhao Liu, Ziyuan Zhang

“…The adaptive short-time Fourier transform (ASTFT) is incorporated with the Renyi entropy and the particle swarm optimization algorithm, which achieves a better aggregation of the time-frequency distribution and reduces the computation cost. …”
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Calculation of spatial target coordinates in range-difference passive radars by the Levenberg – Marquardt method by A. A. Dmitrenko, S. Y. Sedyshev, Y. У. Kuleshov, A. A. Bogatyrev

“…The aim of the research was to determine the optimal number of receiving points and to select the most effective algorithm for coordinate transformations of the vector of observed parameters (a set of range difference estimates from radio emission sources to the corresponding pairs of receiving points) into the vector of measured parameters (rectangular spatial coordinates). …”
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A High-Precision Method for Warehouse Material Level Monitoring Using Millimeter-Wave Radar and 3D Surface Reconstruction by Wenxin Zhang, Yi Gu

“…A Poisson Surface Reconstruction algorithm is then applied to generate a continuous 3D model of the grain heap. …”
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Artificial Intelligence in Placental Pathology: New Diagnostic Imaging Tools in Evolution and in Perspective by Antonio d’Amati, Giorgio Maria Baldini, Tommaso Difonzo, Angela Santoro, Miriam Dellino, Gerardo Cazzato, Antonio Malvasi, Antonella Vimercati, Leonardo Resta, Gian Franco Zannoni, Eliano Cascardi

“…Despite these advancements, significant challenges remain, notably dataset heterogeneity, interpretative limitations of current AI algorithms, and issues regarding model transparency. …”
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Current Measurement and Fault Detection Based on the Non-Invasive Smart Internet of Things Technique by Abhrodeep Chanda, Abhishek Gudipalli

“…We address the cost factor, flexibility, and complexity issues by using a non-intrusive clamp current transformer around power lines to measure current, estimate power, and upload it to the cloud with proper statistical data. …”
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Timeseries Fault Classification in Power Transmission Lines by Non-Intrusive Feature Extraction and Selection Using Supervised Machine Learning by Rab Nawaz, Hani A. Albalawi, Syed Basit Ali Bukhari, Khawaja Khalid Mehmood, Muhammad Sajid

“…The performance of the learning algorithms (e.g. Decision Tree, Random Forest, etc.) has been analyzed with various preprocessing techniques (e.g. data scaling, transformation, etc.) and tuning of parameters, focusing on the accuracy and computational time (<inline-formula> <tex-math notation="LaTeX">$T_{c}$ </tex-math></inline-formula>), for performance generalization and efficiency. …”
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Statistical analysis of the migration situation and the factors affecting the Russian demographic expansion by Pavel E. Prokhorov, Nikita D. Epstein

“…It is obvious that their rationale is impossible without complex statistical studies that urgently require a systematic improvement of applied analysis algorithms associated with a comprehensive quantitative assessment of the characteristics and outcomes of territorial displacement of people. …”
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An Improved Machine Learning-Based Model for Detecting and Classifying PQDs with High Noise Immunity in Renewable-Integrated Microgrids by Irfan Ali Channa, Dazi Li, Mohsin Ali Koondhar, Fida Hussain Dahri, Ibrahim Mahariq

“…In the optimized-kernel SVM model, computing power is enhanced for classifying multiple PQ events based on the local density and leave-one-out (LOO) algorithm. To get higher separation in feature space, the kernel width of each sample is estimated based on the local density. …”
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