Single-level Discrete Two Dimensional Wavelet Transform Based Multiscale Deep Learning Framework for Two-Wheeler Helmet Detection by Amrutha Annadurai, Manas Ranjan Prusty, Trilok Nath Pandey, Subhra Rani Patra

“…INTRODUCTION: A robust method is proposed in this paper to detect helmet usage in two-wheeler riders to enhance road safety. …”
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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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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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Robust Corner Detection Using Local Extrema Differences by Reza Yazdi, Hassan Khotanlou, Hosna Khademfar

“…This paper introduces a novel intensity-based corner detector that surpasses existing methods by solely analyzing pixel intensity within a 3×3 neighborhood. …”
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Application and Challenges of Artificial Intelligence in Different Branches of Dentistry by Ali Mirzaei, Melika Mollaei, Anahita Lotfizadeh, Mehdi Aryana, Alireza Ebrahimpour

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The “new man” project and teaching history and social sciences: on the discussion in the journal “The Marxist historian”. 1926–1928 by K. R. Ambartsumyan

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ECONOMICAL CORE AT THE DIFFERENT LEVELS OF MANAGEMENT SYSTEM HIERARCHY by К. В. Павлов

“…All three forms of influence center on the environment are interrelated, but their practical value unequal to different poles and even one center at different stages of development. …”
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Malevolent Creativity of Adolescents in Different Socio-political Contexts by Natalya V. Meshkova, Margarita N. Bochkova, Elena A. Dmitrieva, Sergey N. Enikolopov, Ivan A. Meshkov

“…In 2024, high school students from one of the schools in Moscow took part in the study (N=46, Mage = 16.0 SD=0.390; 28 of them were girls). Methods. Participants filled out forms with questionnaires in person: "NEO-FFI" (adapted by V. …”
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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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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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Intelligent Air Gap Segmentation in Electric Motor Color Images Using a Self-Organizing Map by Bernardo Barancelli Schwedersky, Joao Paulo Zomer Machado, Rodolfo Cesar Costa Flesch, Cassiano Montibeller

“…This procedure eliminates the need for a large dataset of manually segmented images, which is typically required by most of the intelligent segmentation methods in the literature. The procedure begins with a polar transformation of the motor image, which helps to identify the region of interest for segmentation. …”
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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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Performance of two different artificial intelligence models in dental implant planning among four different implant planning software: a comparative study by Pathompong Roongruangsilp, Walita Narkbuakaew, Pathawee Khongkhunthian

“…Abstract Background The integration of artificial intelligence (AI) in dental implant planning has emerged as a transformative approach to enhance diagnostic accuracy and efficiency. …”
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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

“…Comparative experiment results show that the proposed method outperforms other existing state-of-the-art works with an accuracy of 98.73%.…”
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Compressive Sensing Network Deeply Induced by Visual Mechanism by Mingkun Feng, Xiaole Han, Kai Zheng

“…The experimental results show that our FVM-CSNet exhibits significant advantages on the Set14 dataset compared to existing advanced methods (TransCS, OCTUF and DPC-DUN). The average PSNR and average SSIM of FVM-CSNet are improved by 2.42% and 1.68%, 1.54% and 1.27%, and 0.28% and 1.33% compared to the above three advanced methods for four different sampling rates, respectively. …”
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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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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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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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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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