High-fidelity steganography in EEG signals using advanced transform-based methods by Enes Efe

“…This study introduces a robust and efficient method for embedding private information into electroencephalogram (EEG) signals by employing the stationary wavelet transform (SWT), singular value decomposition (SVD), and tent map techniques. …”
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Does the free trade zone strategy promote urban low-carbon transformation? Experimental evidence from China by Junkai Sun, Xin Fang, Xinyue Gao, Guilin Dai

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Lithology Combination Identification Method Based on Discrete Wavelet Transform and Its Application by JIAO Guohua

“…Based on the wavelet transform of natural gamma curve, the logging signals are decomposed by discrete wavelet, and the characteristics of lithologic combinations corresponding to different energy groups on the time-frequency energy diagram are summarized. …”
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Microbiological dynamics of different poultry waste disposal methods by GURPREET KAUR, DALJEET KAUR, PAVITER KAUR, NEEMISHA, SANDEEP UNIYAL, YASHPAL SINGH, D S MALIK

“…The objective was to study the microbiological dynamics of different poultry waste disposal methods. Fresh poultry manure, together with dead bird carcasses and paddy straw (i.e. aerobic composting-T1 group) was composted and compared to T2 group in which additionally yeast was incorporated @7.5%. …”
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Effects of different fermentation methods on the quality of sour cowpea by SUN Yu, ZHOU Zhugui, LIU Jian, XIN Ming, LI Changbao, FENG Jinqing, LI Jieming, LI Tianyu, YE Dongqing, LING Dongning

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Evaluation of a real-time optoelectronic method for the detection of cervical intraepithelial neoplasia and cervical cancer in patients with different transformation zone types by Fengyi Xiao, Long Sui

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Image Processing Method Based on Chaotic Encryption and Wavelet Transform for Planar Design by Yiying Liu, Young Chun Ko

“…This paper provides an in-depth study and analysis of image processing for graphic design through chaotic encryption combined with a wavelet transform algorithm. Firstly, the traditional Mallat algorithm is optimized; since the mean value of the transform coefficients generated after the wavelet transform of the image is used as the initial value of the chaotic system to iterate, when the image is modified, then the mean value of the wavelet coefficients will also change, and the final iteration comes out as two different sequences using the property that the chaotic system is extremely sensitive to the initial conditions, so the algorithm has a certain sensitivity to tampering and localization effect. …”
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APPLICATION OF DIFFERENTIAL TRANSFORMATION METHOD FOR SOLVING HIV MODEL WITH ANTI-VIRAL TREATMENT by Esther Y. Bunga, Meksianis Z. Ndii

“…A number of numerical schemes such as Euler, Runge-Kutta, and Finite Difference Scheme are generally used. There are also alternative numerical methods that can be used to solve system of differential equations such as the nonstandard finite difference scheme (NSFDS), the Adomian decomposition method (ADM), Variation iteration method (VIM), and the differential transformation method (DTM). …”
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Interrupted Sampling Repeater Jamming Recognition Method Based on Wavelet Packet Transform by Zhong Qi, Fan Shoutao, He Zhiyi, Liu Jianxin

“…To address this issue, we propose a method for interference and target recognition based on the difference in the coefficient of variation obtained from wavelet packet transforms of jamming and target echoes, which can effectively eliminate the impact of ISRJ attacks. …”
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Sub-Pixel Displacement Measurement with Swin Transformer: A Three-Level Classification Approach by Yongxing Lin, Xiaoyan Xu, Zhixin Tie

“…In order to avoid the dependence of traditional sub-pixel displacement methods on interpolation method calculation, image gradient calculation, initial value estimation and iterative calculation, a Swin Transformer-based sub-pixel displacement measurement method (ST-SDM) is proposed, and a square dataset expansion method is also proposed to rapidly expand the training dataset. …”
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Mobility difference index: a quantitative method for detecting human mobility difference by Zhaohui Liu, Rui Li, Jing Cai, Qiushi Hu, Huayi Wu

“…The method quantifies the differences in human mobility by calculating the minimum transformation cost between two sets of origin-destination flows based on optimal transport theory. …”
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Bioavailability and Health Effects of Some Carotenoids by Different Cooking Methods by Muhammet Ali Cakir, Irem Helvacioglu

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An Improved DGA Feature Clustering-Based Method for Transformer Fault Diagnosis by Yujie Zhang, Jian Feng, Shanyuan Wang

“…In order to solve those problems, this paper uses more features as information sources of power transformer diagnosis based on clustering method. Different clustering spaces are considered for different fault types. …”
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An Effective Method to Determine the Available Transmission Capacity with Variable Frequency Transformer by Mostafa Eidiani, Hossein Zeynal

“…In addition, the proposed method was used in seven different systems and 50% of the time was saved on small systems. …”
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A lip reading method based on adaptive pooling attention Transformer by YAO Yun, HU Zhenxiao, DENG Tao, WANG Xiao

“…To address this issue, a lip reading method based on adaptive pooling attention transformer (APAT-LR) was proposed. …”
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Primary Current Test Method for Transformer Protection Based on Transient Load by Jiyin SHI

“…In order to solve this problem, a method for testing TA secondary circuit by using transient current such as motor starting current or transformer magnetizing inrush current is presented. …”
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One‐Fit‐All Transformer for Multimodal Geophysical Inversion: Method and Application by Yiran Jiang, Jianwei Ma, Jieyuan Ning, Jiaqi Li, Han Wu, Tiezhao Bao

“…While deep learning has the potential to address these challenges, issues such as data representation and domain transformation limit the development of universally applicable deep learning‐based inversion methods across various geophysical scenarios. …”
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The Effect of Various Text Representation Methods for Sentiment Analysis on Movie Review Data with Different Machine Learning Methods by Veysel Göç, Muhammet Sinan Başarslan

“…In this study, we explore the potential of machine learning (ML) models after different text representation methods on the balanced IMDB dataset, which is widely regarded as a gold standard in sentiment analysis, one of the Natural Language processing (NLP) tasks. …”
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Current Transformer Saturation Detection Method Based on Artificial Neural Network by Yu. V. Rumiantsev

“…When current transformer is saturated, mainly due to the presence of an exponentially decaying DC component in the fault current, its secondary current has a distinctive distorted waveform which significantly differs from its primary (true) waveform. …”
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Detecting Current Transformer Measurement Errors Using Double Decomposition Method by Bolun Du, Yinglong Diao, Huan Wang, Xiujuan Zeng, Tong Liu, Yiyi Peng

“…In China Electric Power Research Institute, the proposed CT measurement error detection method can accurately locate the abnormal phase of CT and detect the 0.2% ratio difference threshold in the verification experiment. …”
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