Frequency-Domain Guided Image Classification With Large Model Assistance by Xia Hua, Lei Han

“…Image classification technology has made significant advancements, but methods tailored for specific image classification, such as sport image, remain inadequate. …”
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APPLICATION OF THE WORD2VEC ALGORITHM FOR CLINICAL DIAGNOSIS DETERMINATION by Uzeyir Gurbanli

“…By designing and implementing rules for applying and integrating different algorithms, it is possible to transform medical data into valuable knowledge, contributing significantly to advancements in the medical field. …”
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Latent or Manifest Observers: Two Dichotomous Approaches of Surveillance in Mental Health Nursing by Martin Salzmann-Erikson, Henrik Eriksson

“…The underlying relationships between these two different dichotomous positions transform the act of observing into surveillance. …”
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Application and Evolution for Neural Network and Signal Processing in Large-Scale Systems by Dongbao Jia, Cunhua Li, Qun Liu, Qin Yu, Xiangsheng Meng, Zhaoman Zhong, Xinxin Ban, Nizhuan Wang

“…The low frequency characteristics of the extracted signal are compared with those of FSST and fast Fourier transform (FFT) through the resting-state data. It is clear that the signal extracted by FSST has more low frequency characteristics, which is significantly different from FFT.…”
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Improving the performance of UV-curable coatings with carbon nanomaterials by Y. Jiang, S. Y. Zhang, X. L. Zhang, T. Zhang

“…Utilizing the methods of Fourier transform infrared (FTIR) spectroscopy, ultraviolet-visible (UV-VIS) spectroscopy, wide angle X-ray diffraction (WAXS) and thermogravimetric analysis (TGA), the chemical structures and physical properties of the coatings were analyzed. …”
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Standardised regression coefficient as an effect size index in summarising findings in epidemiological studies by Pentti Nieminen, Heli Lehtiniemi, Kirsi Vähäkangas, Antti Huusko, Arja Rautio

“…</p><p><strong>Results:</strong> the evaluation of 24 included articles reveled that there was variation in variable measurement methods, transformations, descriptive statistics and inference methods. …”
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CNAIS: Performance Analysis of the Clustering of Non-Associated Items Set Techniques by Vinaya Babu Maddala, Mooramreddy Sreedevi

“…They select only certain features related to the process from diverse integrated data resources and transform them into a form suitable for mining tasks. …”
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Numerical Solutions for Coupled Trapezoidal Fully Fuzzy Sylvester Matrix Equations by Ahmed AbdelAziz Elsayed, Nazihah Ahmad, Ghassan Malkawi

“…The proposed methods are illustrated by solving numerical examples with different size systems.…”
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Multi-sensor image fusion based on regional characteristics by Fanjie Meng, Ruixia Shi, Dalong Shan, Yang Song, Wangpeng He, Weidong Cai

“…Second, the whole scene is divided into the objects region, the smooth region, and the texture region according to different regional characteristics. Third, the non-subsampled contourlet transform is used on infrared and visible images. …”
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En quoi faut-il des frontières ? by Annick Louis

“…The territory of scholarly production that is defined from the proposed approach thus transforms the border between different disciplines into a space of its own, whose specificities I will try to identify.…”
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Misalignment Detection on Linear Feed Axis with FFT and Statistical Analysis using Motor Current by Mustafa Demetgül, Minjie Gu, Hillenbrand Jonas, Yicheng Zhao, Philipp Gönnheimer, Jürgen Fleischer

“…We conduct diagnosis with Fast Fourier Transform (FFT) and statistical methods in order to differentiate different misalignment scenarios and operating constraints of the feed axis. …”
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Evaluation of mineral induction ability and cytotoxicity of carbonated hydroxyapatite for pulp tissue regeneration: an in vitro study by S. Swathi Priyadharshini, Chinnasamy Ragavendran, Anand Sherwood, J. Ramana Ramya, Jogikalmat Krithikadatta

“…ObjectivesThis study aimed to evaluate carbonated hydroxyapatite (CHA)’s ability for mineral induction and its in vitro cytotoxicity with human dental pulp cells.Materials and MethodsPrecursors for the study include di-ammonium hydrogen phosphate and calcium nitrate tetrahydrate, with sodium hydrogen carbonate added to achieve different levels of carbonate substitution. …”
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Numerical solutions of a fractional order SEIR epidemic model of measles under Caputo fractional derivative. by Nawa A Alshammari, N S Alharthi, Abdulkafi Mohammed Saeed, Adnan Khan, Abdul Hamid Ganie

“…The Homotopy perturbation transform method (HPTM) and Yang transform decomposition methodology (YTDM) have been employed to obtain the numerical solution of the time fractional model. …”
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Snoring Sound Recognition Using Multi-Channel Spectrograms by Ziqiang YE, Jianxin PENG, Xiaowen ZHANG, Lijuan SONG

“…Snoring detection is a simple and non-invasive method. In many studies, the feature maps are obtained by applying a short-time Fourier transform (STFT) and feeding the model with single-channel input tensors. …”
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The library of reference models of the physical layer signals by Sergey Gennadiyevich Rassomakhin, Sergey Gennadiyevich Veklich, Oleg Pavlovich Malofey

“…The wireless communication is very widely used information transmission systems. Wireless networks differ from cable networks on physical and partially on data link layer OSI in use of different methods of modulation. …”
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AI4RD: policy, technology, and applications by DONG Hao, WEI Kai

“…We believe that AI4RD will profoundly transform scientific discovery methods, reshape technological innovation processes, and provide significant support in addressing major challenges faced by human society.…”
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Fault Diagnosis for Rotating Machinery Based on Convolutional Neural Network and Empirical Mode Decomposition by Yuan Xie, Tao Zhang

“…Classic fault diagnosis methods are mainly based on traditional signal features such as mean value, standard derivation, and kurtosis. …”
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基于小波—Hilbert解调的齿轮故障诊断方法 by 崔颖, 赵军, 孔明

“…A method of gear fault feature extraction based on wavelet transform and Hilbert demodulation is proposed.On the basis of fault mechanism and characteristic frequencies of gearbox fault,wavelet transform is used to decompose the vibration acceleration signals of gear faults into different frequency bands,thus realizing the extraction of nonlinear coupling characteristic frequency of gear fault,which is then used to achieve accurate fault information by Hilbert demodulation.The result shows that the proposed method can effectively improve the frequency resolution and realize accurate extraction of fault feature,and it has certain practical value for the gear fault diagnosis of automobile gearbox when applied to the automotive industry.…”
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Design of Wideband Multifunction Antenna Array Based on Multiple Interleaved Subarrays by Longjun Li, Buhong Wang

“…The Peak Sidelobe Levels (PSLs) of the interleaved subarrays are further reduced by the iterative Fourier transform algorithm. Numerical simulation results show that favorable design of the interleaved linear antenna arrays with different carrier frequencies can be obtained by the proposed method with favorable pattern similarity, low PSL, and wide bandwidths.…”
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Inc-DLOM: Incremental Direct LiDAR Odometry and Mapping by Kaiduo Fang, Rui Song, Ivan Wang-Hei Ho

“…Moreover, the point cloud data generated by different LiDARs will possess different properties, such as spatial density, Field-of-View (FoV), perception distances, etc., which may have a great impact on LO methods, and makes the generalization of LO a noteworthy issue. …”
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