Novel approximations to the fourth-order fractional Cahn–Hillard equations: Application to the Tantawy Technique and other two techniques with Yang transform by Samir A El-Tantawy, Amnah S Al-Johani, Aljawhara H Almuqrin, Adnan Khan, Lamiaa S El-Sherif

“…We also implement the variational iteration transform method (VITM) and the homotopy perturbation transform method (HPTM) within the Yang transform framework to analyze the fourth-order TFCH models. …”
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Discriminating the adulteration of varieties and misrepresentation of vintages of Pu’er tea based on Fourier transform near infrared diffuse reflectance spectroscopy by Zhenfa Yang, Zhenfa Yang, Xiaoping Lu, Lucheng Chen

“…Traditional sensory evaluation and experience are often inadequate for discerning the true variety and vintage of tea, highlighting the need for more sophisticated analytical methods to ensure authenticity and quality. Fourier transform near infrared diffuse reflectance spectroscopy combined with radial basis function neural network (RBFNN) was applied for determination of the varieties and vintages of Pu’er tea. …”
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Orchard Navigation Method Based on RS-SC Loop Frame Search Method and SLAM Technology by Ning Xu, Qingshan Meng, Fengping Liu, Zhihe Li, Guangming Wang, Na Guo, Wenxuan Wu

“…In the loop frame matching, an optimization algorithm combining normal distribution transformation and iterative nearest point is used to reduce the cumulative error significantly. …”
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Detection of microplastics stress on rice seedling by visible/near-infrared hyperspectral imaging and synchrotron radiation Fourier transform infrared microspectroscopy by Chaojie Wei, Hongxin Xie, Hongxin Xie, Hongxin Xie, Wei Wang, Yu-Feng Li, Yu-Feng Li, Yu-Feng Li, Xiaorong Wang, Ziwei Song, Fajun Chen

“…In order to rapidly screen and diagnosis rice seedling under MPs stress at an early stage, it is essential to develop efficient and non-destructive detection methods.MethodsIn this study, rice seedlings exposed to different concentrations (0, 10, and 100 mg/L) of polyethylene terephthalate (PET), polystyrene (PS), and polyvinyl chloride (PVC) MPs stress were constructed. …”
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A 2D linear canonical transform partition algorithm(二维线性正则变换剖分算法) by 赵伟康(ZHAO Weikang), 侯建伟(HOU Jianwei), 刘晴晴(LIU Qingqing)

“…It selects appropriate expression to approximate regional image pixels by utilizing the flexibility of multi-parameter linear canonical transform. The partition rectangle number in each 16×16 grid forms the feature matrix which is then combined with Arnold transform to establish a lightweight image protection method that can resist different forms of attacks. …”
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Compressive Sensing Network Deeply Induced by Visual Mechanism by Mingkun Feng, Xiaole Han, Kai Zheng

“…Specifically, we introduce a discrete wavelet transform-based visual weighting module and an inverse discrete wavelet reconstruction fusion module to adjust the weights and fuse different frequency sub-bands, which not only enhances image reconstruction quality but also significantly reduces computational complexity. …”
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Fault Feature Extraction Based on Variational Modal Decomposition and Lifting Wavelet Transform: Application in Gear of Mine Scraper Conveyor Gearbox by Zhengxiong Lu, Linyue Li, Chuanwei Zhang, Shuanfeng Zhao, Lingxiao Gong

“…Secondly, an intrinsic mode function (IMF) sub-band fault information extraction method based on lifting wavelet transform is proposed. …”
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Attention-Based CNN Fusion Model for Emotion Recognition During Walking Using Discrete Wavelet Transform on EEG and Inertial Signals by Yan Zhao, Ming Guo, Xiangyong Chen, Jianqiang Sun, Jianlong Qiu

“…Walking as a unique biometric tool conveys important information for emotion recognition. Individuals in different emotional states exhibit distinct walking patterns. …”
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Analytical finite-integral-transform and gradient-enhanced machine learning approach for thermoelastic analysis of FGM spherical structures with arbitrary properties by Palash Das, Dipayan Mondal, Md. Ashraful Islam, Md. Abdullah Al Mohotadi, Prokash Chandra Roy

“…This study introduces a novel mathematical model that combines the finite integral transform (FIT) and gradient-enhanced physics-informed neural network (g-PINN) to address thermomechanical problems in functionally graded materials with varying properties. …”
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Spike by spike frequency analysis of amperometry traces provides statistical validation of observations in the time domain by Jeyashree Krishnan, Zeyu Lian, Pieter E. Oomen, Mohaddeseh Amir-Aref, Xiulan He, Soodabeh Majdi, Andreas Schuppert, Andrew Ewing

“…We demonstrate the method by utilizing simulated signals and by subsequently testing it on diverse amperometry datasets generated from different experiments with various chemical stimulations. …”
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Time Series Forecasting Model Based on the Adapted Transformer Neural Network and FFT-Based Features Extraction by Kyrylo Yemets, Ivan Izonin, Ivanna Dronyuk

“…This paper aims to enhance the accuracy of time series forecasting by proposing an adapted transformer architecture combined with an innovative data preprocessing method. …”
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Wavelet-CNN for temporal data: Enhancing long-term stock price prediction via multi-resolution wavelet decomposition and CNN-based feature extraction by Komei Hiruta, Junsuke Senoguchi

“…Specifically, we first acquire components with different temporal resolutions using wavelet transform, then convert the wavelet-transformed data into images, and finally perform CNN processing to automatically extract useful temporal features for prediction. …”
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Supraharmonics monitoring based on VSSESP-DBP dynamic compressed sensing algorithm by Chao Yan, Hongtao Shen, Jie Yu, Peng Tao, Hongxi Wang, Ting Yang

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Research on Acoustic Scene Classification Based on Time–Frequency–Wavelet Fusion Network by Fengzheng Bi, Lidong Yang

“…Acoustic scene classification aims to recognize the scenes corresponding to sound signals in the environment, but audio differences from different cities and devices can affect the model’s accuracy. …”
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Digital Watermarking using Dragonfly Optimization Algorithm by Satender Sharma, Usha Chauhan, Ruqaiya Khanam, Krishna Kant Singh

“…The cover image in the proposed method is decomposed into sub bands using discrete wavelet transform (DWT). …”
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Dynamic Hypergraph Convolutional Networks for Hand Motion Gesture Sequence Recognition by Dong-Xing Jing, Kui Huang, Shi-Jian Liu, Zheng Zou, Chih-Yu Hsu

“…Hypergraph convolution is applied to update node features, while the Fourier transform facilitates frequency-domain analysis. The T-Module, a multiscale temporal convolution module, aggregates features from multiple frames to capture gesture dynamics across different time scales. …”
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Impact of farmer training on potato yield: a case of smallholder potato farmers in Malawi by Ednah Kangogo, David Jakinda Otieno, Julius Okello, Obed Mwenye, Eliya Kapalasa

“…This study applied the difference-in-difference method with inverse probability-weighted regression to analyze the impact of farmer training on potato yield. …”
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Transforming Wind Data into Insights: A Comparative Study of Stochastic and Machine Learning Models in Wind Speed Forecasting by Türker Tuğrul, Sertaç Oruç, Mehmet Ali Hınıs

“…In these analyses, five different models were created with the assistance of cross-correlation. …”
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ECG Signal Analysis for Detection and Diagnosis of Post-Traumatic Stress Disorder: Leveraging Deep Learning and Machine Learning Techniques by Parisa Ebrahimpour Moghaddam Tasouj, Gökhan Soysal, Osman Eroğul, Sinan Yetkin

“…This study aims to develop and evaluate an artificial intelligence-based classification system using electrocardiogram (ECG) signals for the detection of PTSD. <b>Methods:</b> Raw ECG signals were transformed into time–frequency images using Continuous Wavelet Transform (CWT) to generate 2D scalogram representations. …”
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Study on characteristics of land cover change using MODIS NDVI time series by WANG Hong-shuo, HUANG Jing-feng

“…Characteristics of vegetation cover change in northern Zhejiang Province was detected using MODIS NDVI time series. Discrete Fourier transform (DFT) method was applied to deduct the noisy and abnormal points. …”
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