Python algorithm package for automated Estimation of major legume root traits using two dimensional images by Amit Ghimire, Yong Suk Chung, Sungmoon Jeong, Yoonha Kim

“…Among the thresholding methods, Otsu thresholding worked well for distance transform, while triangle threshold was effective for TRL. …”
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A GPSR-Based Sparse ECG Signal Recovery Approach for Hybrid Compressive Sensing Framework and Its Classification Using Deep Convolution Neural Network by Subramanyam Shashi Kumar, Prakash Ramachandran

“…This paper falls in category 2) and proposes a hybrid CS algorithm for ECG signal reconstruction using discrete wavelet transform (DWT) and discrete cosine transform (DCT) both as sensing and sparsifying operator and the classification of reconstructed signal is achieved using DCNN for two different image representations (a) CWT and (b) STFT. …”
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Radio Frequency Signal-Based Drone Classification with Frequency Domain Gramian Angular Field and Convolutional Neural Network by Yuanhua Fu, Zhiming He

“…Specifically, we first compute the time–frequency spectrum of raw RF signals based on short-time Fourier transform (STFT). Then, the 1D frequency spectrum series is encoded as 2D images using a modified GAF transform. …”
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Hybrid UM-LT-AHE Technique for Contrast Enhancement of Medical Images by Abolaji Okikiade Ilori, Kamoli Akinwale Amusa, Olumayowa Ayodeji Idowu

“… This paper is concerned with combinations of un-sharp masking, logarithmic transformation, and adaptive histogram equalization techniques to arrive at a hybrid method for enhancement of different types of medical image's contrast. …”
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A brief review on extraction and characterization of nanocellulose from date palm biomass by Selvin P. Thomas

“…This review is essential because while nanocellulose offers tremendous potential as a renewable nanomaterial, the lack of standardized extraction and characterization methods leads to variability in product quality. By evaluating mechanical, chemical, and biological approaches across different date palm biomass sources, this work helps researchers optimize processes for high-performance nanocellulose while minimizing environmental impact. …”
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Large-Scale Image Retrieval of Tourist Attractions Based on Multiple Linear Regression Equations by Yinping Song

“…This feature extraction method often relies on the partitioning of the grid and is only effective when the overall similarity of different images is high. …”
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Analytic Solution for Systems of Two-Dimensional Time Conformable Fractional PDEs by Using CFRDTM by Abir Chaouk, Maher Jneid

“…In this study we use the conformable fractional reduced differential transform (CFRDTM) method to compute solutions for systems of nonlinear conformable fractional PDEs. …”
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Des contre-pouvoirs culturels dans la ville ? Les associations de défense des « droits culturels » des populations racisées et ethnicisées, entre contestation et adaptation by Lionel Arnaud

“…Within the framework of research begun in Toulouse in 2019, the strategies of three associations with different economic models are analyzed around three main aspects: their dimension of protest, their financing methods and their repertoires of cultural action. …”
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Studies on the inhibition of mild steel corrosion in hydrochloric acid solution by atenolol drug by G. Karthik, M. Sundaravadivelu

“…The results obtained from the different methods are in good agreement. The surface morphologies of mild steel were examined by Fourier-transform infrared (FT-IR) spectroscopy, scanning electron microscope (SEM). …”
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Antibiotic residuals removal via novel fabricated hydrogel from 2-hydroxyethyl methacrylate and sodium methacrylate by Nahit Aktaş, Sinan Akgöl, Urmat Zholdoshbek Uulu

“…[p(HEMA-SMA)] co-polymers were synthesized by the free radical photopolymerization method. Synthesized hydrogels were characterized by different methods such as Fourier-transform infrared spectroscopy (FTIR), elemental and scanning electron microscope (SEM), and surface area calculations. …”
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Joint Spectral Information and Spatial Details for Road Extraction From Optical Remote-Sensing Images by Yuzhun Lin, Jie Rui, Fei Jin, Shuxiang Wang, Xibing Zuo, Xiao Liu

“…The spectral information of the multispectral image and spatial details of the panchromatic image were then obtained using the HIS color transform and Haar wavelet transform, respectively, and injected into the fusion branch. …”
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Nested compressive sensing for ECG signals using novel hybrid two-level approach of DWT and DCT sensing and sparsification by Subramanyam Shashi Kumar, Prakash Ramachandran

“…Abstract This paper demonstrates the merits of nested Compressive Sensing (CS) approach for Electrocardiogram (ECG) signals using discrete wavelet transform (DWT) and discrete cosine transform (DCT) as sensing matrix and sparsifying matrix. …”
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Another Way to Struggle Against Inequality (Is It Possible?): Understanding the “Landless” Experience in Brazil by Süleyman Güder

“…Social movements in Latin America, as in different parts of the world, have adopted dissimilar methods. …”
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A Methodology for Acceleration Signals Segmentation During Forming Regular Reliefs Patterns on Planar Surfaces by Ball Burnishing Operation by Stoyan Dimitrov Slavov, Georgi Venelinov Valchev

“…The results obtained from the proposed GMM based algorithm applied on compressed RMS accelerations signals is compared with two other methods, i.e., Short-Time Fourier Transforms and Continuous Wavelet Transform. …”
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Lidar-Binocular Camera-Integrated Navigation System for Underground Parking by Wei He, Rui Li, Wenjie Liao

“…Results show that under different error statistical methods, the distance error values of the proposed navigation system are 0.00901, 0.059, 0.00766, and 0.087 m, respectively which present a much higher precision than 5.0 m in the specification requested for inertial-integrated navigation terminal.…”
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Research on Hyperspectral Inversion of Soil Organic Carbon in Agricultural Fields of the Southern Shaanxi Mountain Area by Yunhao Han, Bin Wang, Jingyi Yang, Fang Yin, Linsen He

“…Subsequently, multiple spectral transformation methods, including continuous wavelet transform (CWT), reciprocal, first-order derivative, second-order derivative, and continuum removal, were applied to the corrected spectral data to enhance their spectral response characteristics. …”
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Thermomechanical Fractional Model of Two Immiscible TEMHD by F. Hamza, A. M. Abd El-Latief, W. Khatan

“…The inversion of Laplace transform is obtained by using numerical method based on a Fourier-series expansion. …”
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gptools: Scalable Gaussian Process Inference with Stan by Till Hoffmann, Jukka-Pekka Onnela

“…Whilst theoretically appealing, they are computationally cumbersome except for small datasets. We implement two methods for scaling GP inference in Stan: First, a general sparse approximation using a directed acyclic dependency graph; second, a fast, exact method for regularly spaced data modeled by GPs with stationary kernels using the fast Fourier transform. …”
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Communication emitter individual identification based on 3D-Hibert energy spectrum and multi-scale fractal features by Jie HAN, Tao ZHANG, Huan-huan WANG, Dong-fang REN

“…For communication emitter identification,a novel method based on Hilbert-Huang transform (HHT) and multi-scale fractal features was proposed.First,the time frequency energy spectrum was derived via HHT,which was called a complicated curved surface in the three-dimension space,namely,3D-Hilbert energy spectrum.Then,the differential box dimension and the multi-fractal dimension was extracted to compose the feature vector under multi-scale segmentation using fractal theory.Finally,communication emitter individual identification was obtained using the two dimensions of features above and the support vector machine (SVM).Moreover,the novel method was compared with two existing methods to identify simulated and actual signals with different and the same modulation modes,respectively.Results show that the identification rate of the novel method is higher than that of the two other methods.The features extracted by the novel method have high stability,sufficiency,and identifiability,also outweigh the negative effects of the change of signal-to-noise ratio and the number of training samples and emitters.…”
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Biosorption of Safranin-O from Aqueous Solution by Nile Rose Plant (Eichhornia crassipes) by Baghdad Science Journal

“…The dried leaves of Nile rose plant were used as adsorbents safranin-O from aqueous solution after different activations such as wet and dry enhancements. …”
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