Automatic mosaic method of remote sensing images based on machine vision by S.P. Gao, M. Xia, S.J. Zhang

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Outlier Detection Method in Linear Regression Based on Sum of Arithmetic Progression by K. K. L. B. Adikaram, M. A. Hussein, M. Effenberger, T. Becker

“…Two different techniques were used to manage missing data and removed outliers: (1) recalculate the terms after (or before) the removed or missing element while maintaining the initial angle in relation to a certain point or (2) transform data into a constant value, which is not affected by missing or removed elements. …”
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Peramalan Beban Jangka Panjang pada Gardu Induk Bangil dengan Metode Generalized Regression Neural Network by Ali Rizal Chaidir

“…Accurate load forecasting is imperative to inform timely interventions like transformer replacement. This study aims to forecast the load for Transformers 3 and 4 at the Bangil Substation using 2 difference methods, comparing Feed Forward Backpropagation Neural Network (FFBNN) and Generalized Regression Neural Network (GRNN). …”
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A Method for the Calibration of a LiDAR and Fisheye Camera System by Álvaro Martínez, Antonio Santo, Monica Ballesta, Arturo Gil, Luis Payá

“…This work proposes a target-based calibration method for LiDAR and fisheye camera systems that avoids the need to transform images to a pinhole camera model, reducing the computation time. …”
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Gravity‐Derived Antarctic Crustal Thickness Based on the Gauss‐FFT Method by Fei Ji, Leyuan Wu, Qiao Zhang

“…To generate reliable images of crustal features, we investigate the model of Moho depth and crustal thickness beneath Antarctica by applying the Bott‐Parker's formulas based on the Gauss‐fast Fourier transform method through a comprehensive analysis of gravity data, ice and sediment thicknesses and bedrock elevation, combined with seismic constraints. …”
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SOLUBILITY OPTIMIZATION OF TERBINAFINE HYDROCHLORIDE SOLID DISPERSION BY BINARY AND TERNARY METHOD by Zeeshan Masood, ujala mansoor, Ayesha Pervaiz, Maha Tariq, Husna Baqar, Zainab Naveed Khan, Aiman Baqar

“…Although, TSD prepared using kneading method displayed the highest drug solubility (14.48 times) as compared to pure drug. …”
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TiO2-Phosphotungstic acid nanocomposites synthesis by annealing method by Milton Praveendaniel, Ponpandian Rajesh Anantha Selvan, Moses Daniel Sweetlin

“…TiO2-Phosphotungstic acid nanocomposites were synthesized by annealing method. In this study, we used a specific annealing technique to optimize the microstructure and improve the performance characteristics of the material under investigation. …”
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Non-stationary signal combined analysis based fault diagnosis method by Zhe CHEN, Yuqi HU, Shiqing TIAN, Huimin LU, Lizhong XU

“…Considering the complementarity between the deep learning,spectrum and time frequency analysis methods,a multi-stream framework was designed by combining the convolutional network,Fourier transform and wavelet package decomposition methods,with the aim to analyze the non-stationary signal.Accordingly,a none-stationary signal combined analysis based fault diagnosis method was proposed to extract features in difference aspects.The fault diagnosis experiments demonstrate that the combined analysis method can efficiently and stably depict the fault and significantly improve the performance of fault diagnosis.…”
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Lateral Stress Sensor Based on an In-Fiber Mach–Zehnder Interferometer and Fourier Analysis by Xiujuan Yu, Dan Bu, Xuefeng Chen, Jintao Zhang, Shengchun Liu

“…The spatial spectra of the proposed in-fiber interferometers with different interference lengths are analyzed by Fourier transform. …”
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Real-time monitoring and optimization of machine learning intelligent control system in power data modeling technology by Qiong Wang, Zuohu Chen, Yongbo Zhou, Zhiyuan Liu, Zhenguo Peng

“…The average response times in three different testing methods were 139.8 ms, 151 ms, and 140.6 ms, respectively. …”
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A Spatiotemporal Feature Extraction Technique Using Superlet-CNN Fusion for Improved Motor Imagery Classification by Neha Sharma, Manoj Sharma, Amit Singhal, Nuzhat Fatema, Vinay Kumar Jadoun, Hasmat Malik, Asyraf Afthanorhan

“…Although there are many different methods for analyzing MI-EEG signals, research into deep learning and transfer learning approaches for MI-EEG analysis remains scarce. …”
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Defect identification method for overhead transmission lines based on SIFT algorithm by Qiang Liu, Xi Zheng, Qiuhan Zhang, Hongjie Sun, Jun Yan

“…These results substantiate the proposed method’s ability to enhance the automation and reliability of wire installation quality evaluation.…”
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Application of Signal Processing Techniques to the Vibration Analysis of a 3-DoF Structure Under Multiple Excitation Scenarios by Leidy Esperanza Pamplona Berón, Marco Claudio De Simone, Domenico Guida

“…Signal processing techniques, specifically Power Spectral Density (PSD) and Continuous Wavelet Transform (CWT), were employed. Each method provides valuable insights into frequency and time-frequency domain analysis. …”
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Efficient Implementation of Matrix-Based Image Processing Algorithms for IoT Applications by Sorin Zoican, Roxana Zoican

“…The execution time of matrix-based image processing algorithms can be reduced by using CNN accelerators already integrated in some modern microcontrollers to implement artificial intelligence algorithms. The proposed method uses CNN in a different way, not for artificial intelligence algorithms, but for matrix calculations using CNN resources effectively while maintaining the accuracy of the calculations. …”
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Assessing air and noise pollution through acoustic classification of vehicles fuel types using deep learning by Andrej Hvastja, Dejan Ćirić, Marko Milivojčević, Jurij Prezelj

“…Psychoacoustic features—loudness, sharpness, roughness, fluctuation strength, and tonality—and features derived from the Hilbert-Huang Transform (HHT) were extracted from the signals to capture the unique acoustic signatures of different engine types. …”
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Towards scalable medical image compression using hybrid model analysis by Shunlei Li, Jiajie Lu, Yingbai Hu, Leonardo S. Mattos, Zheng Li

“…We introduce the SDWTCNN framework, which integrates DWT and CNN to achieve scalable image compression with lower complexity compared to similar methods. The performance of SDWTCNN is evaluated using different performance metrics, demonstrating its effectiveness in maintaining image quality at various compression rates. …”
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Research on Pedestrian and Cyclist Classification Method Based on Micro-Doppler Effect by Xinyu Chen, Xiao Luo, Zeyu Xie, Defang Zhao, Zhen Zheng, Xiaodong Sun

“…Herein, wavelet threshold processing, short-time Fourier transform, and periodogram methods are employed to process radar echo data. …”
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Synthesis and characterization of zeolite obtained from Toraja natural montmorillonite by Taba Paulina, Fauziah St., Natzir Hasnah, Soekamto Nunuk H., Sarungallo Rosalia S., Nahru Nur W., Astuti Yuli, Amin Ida I.

“…This work aims to synthesize zeolites using the hydrothermal method with aluminosilicate sources from Toraja natural minerals. …”
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A novel brain MRI classification framework integrating tuned single scale retinex and empirical wavelet entropy features by Paravathanani Rajendra Kumar, Krishna Prakash, Buraga Ram Sai Teja, Kota Akhil Manoj, Adi Bhuvaneswar, Divvela David Syam Kumar, Shonak Bansal, Sandeep Kumar, Mohammad Rashed Iqbal Faruque, K. S. Al-mugren

“…Afterward, these enhanced images are decomposed through Empirical Wavelet Transform (EWT) so that informative subbands can be extracted. …”
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Benchmarking the Non-Paraxial Beam Propagation Method for Deep-Tissue Microscopy by Praveen Kalarickel Ramakrishnan, Qi Hu, Peter R. T. Munro

“…While rigorous solvers such as the Finite-Difference Time-Domain (FDTD) and Pseudo-Spectral Time-Domain (PSTD) methods provide high accuracy, their high computational cost makes large-volume simulations impractical for deep-tissue imaging. …”
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