Estimation of an Abnormal Noise Location Over Multi-Span Optical Fiber Link Based on Nonlinear Fourier Transform by Takumi Motomura, Akihiro Maruta, Hideaki Shimpo, Ken Mishina

“…This research proposes the application of nonlinear Fourier transform (NFT) for detecting abnormality. Particularly, we explore a method for estimating the abnormal noise location by monitoring the variances and covariance of the discrete eigenvalues in the NFT. …”
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Hilbert–Huang transform and spectrum-weighted reconstruction integration for millimeter wave radar-based heart rate detection by Hao CUI, Luyao LIU, Hao CHEN, Wendong XIAO

“…Traditional detection methods in medical institutions, such as photoplethysmography and electrocardiography, although effective in providing real-time and accurate data, suffer limitations in comfort and versatility. …”
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Rapid Identification of Atmospheric Gaseous Pollutants Using Fourier-Transform Infrared Spectroscopy Combined with Independent Component Analysis by Wei Ju, Changhua Lu, Chun Liu, Weiwei Jiang, Yujun Zhang, Feng Hong

“…Due to the overlap of different gas absorption peaks and the interference of water vapor in the actual measurement, the existing identification methods of gas spectra have drawbacks of low identification rate and the inability to carry out real-time online analysis in atmospheric quality monitoring. …”
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Wavelet Packet Transform based Speech Enhancement via Two-Dimensional SPP Estimator with Generalized Gamma Priors by Pengfei SUN, Jun QIN

“…Although various speech enhancement techniques have been developed for different applications, existing methods are limited in noisy environments with high ambient noise levels. …”
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APPLICATION OF THE DUAL TREE COMPLEX WAVELET TRANSFORM AND MINIMUM ENTROPY DECONVOLUTION IN INCIPIENT FAULT DIAGNOSIS OF THE GEAR BOX by WANG ChaoGe, LIU TongTong, REN XuePing, ZHANG HaoDong, WANG JianGuo

“…Firstly,the dual-tree complex wavelet transform method was used to decompose the collected vibration signals into several components with different frequency bands.. …”
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Structure and Dynamics of Erupting Solar Prominences Using the Rolling Hough Transform: Toward a Feature-oriented Classification by Harry Birch, Stéphane Régnier

“…By analyzing the light curves and movies from each event, we divide the events into distinct dynamical phases: from slow rise to drainage. The spatial RHT method enables us to extract structural information and localized dynamics for both events and the different evolution phases. …”
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Forced vibration assessment of moderately thick carbon nanotube-reinforced composite plates by Reza Setayesh, Shahabeddin Hatami, Mojtaba Gorji Azandariani, Mohammad Zamani Nejad

“…The spectral finite element method of fundamental natural frequencies for different ratios of modulus of elasticity and width-to-thickness ratios obtained were investigated and compared with the results of research. …”
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Multifractal detrended fluctuation analysis of human EEG: preliminary investigation and comparison with the wavelet transform modulus maxima technique. by Todd Zorick, Mark A Mandelkern

“…Herein, we report the use of multifractal detrended fluctuation analysis on human EEG signals derived from waking and different sleep stages, and show evidence that supports the use of multifractal methods. …”
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Time–Frequency Characteristics of Vehicle–Bridge Interaction System for Structural Damage Detection Using Multi-Synchrosqueezing Transform by Mingzhe Gao, Xinqun Zhu, Jianchun Li

“…This paper proposes a novel method based on multi-synchrosqueenzing transform to extract the time-varying characteristics of the vehicle–bridge interaction systems for bridge structural health monitoring. …”
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Separation of Body and Surface Wave Background Noise and Passive Seismic Interferometry Based on Synchrosqueezed Continuous Wavelet Transform by Xiaolong Li, Fengjiao Zhang, Zhuo Xu, Xiangbo Gong

“…In practical passive seismic data, body wave noise and surface wave noise often overlap in frequency bands, making it challenging to separate them effectively using conventional methods. The synchrosqueezed continuous wavelet transform, as a high-resolution time–frequency analysis method, can effectively capture the variations in frequency of passive seismic data. …”
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MEViT: Generalization of Deepfake Detection With Meta-Learning EfficientNet Vision Transformer by Van-Nhan Tran, Hoanh-Su Le, Piljoo Choi, Suk-Hwan Lee, Ki-Ryong Kwon

“…Furthermore, we introduce a pair-discrimination loss to push the feature representations of fake samples away from those of real samples, and a domain adjustment loss to reduce domain shifts across different manipulation methods. The MEViT model is trained on a specific manipulation method in the FaceForensics++ dataset and evaluated on other unseen methods from the same dataset. …”
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Intelligibility and Recognition of Announcer's Speech during Electric Acoustic Conversions in a Transformer by A. Y. Shafranov, T. V. Borbotko

“…The dependences of the values of the level of speech intelligibility and recognition of the speaker's voice on the distance between the sound source and the transformer are derived. The distances from the sound source to the transformer are determined, at which speech intelligibility corresponds to different quality classes according to GOST 16600-72.…”
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Underwater Image Enhancement Based on Transformer, Attention, and Multi-Color-Space Inputs by Liqiong Lu, Dong Wu, Liuyin Wang, Wanzhen Zhang, Tonglai Liu

“…This paper proposes an underwater image enhancement method based on transformer, attention and multi-color-space inputs. …”
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Quantifying the Extent of Damage in a Moment-resisting Frame Caused by Ground Motions using Normalized Discrete Wavelet Coefficients by Seyyed Meisam Aghajanzadeh, Mohammadreza Mashayekhi

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Knowledge Graph-Based Enhanced Transformer for Metro Individual Travel Destination Prediction by Hainan Chi, Boyue Wang, Qibin Ge, Guangyu Huo

“…Although some individual travel destination prediction methods have been proposed, the prediction performance is poor due to the large difference in travel locations of different individuals, the difficulty of evaluating the individual travel intention, the sparsity of individual travel trajectory data, and other problems. …”
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Faster and More Accurate Time Domain Electromagnetic Simulation Using Space Transformation by Mohammadrahim Kazemzadeh, Weiliang Xu, Neil G.R. Broderick

“…A novel finite difference time domain (FDTD) method based on space transformations is developed that overcomes the inherent obstacles of the conventional FDTD algorithm in a spatially complex domain. …”
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Monitoring of CO2 Absorption Solvent in Natural Gas Process Using Fourier Transform Near-Infrared Spectrometry by Mohd Yusop Nurida, Dolmat Norfadilah, Mohd Rozaiddin Siti Aishah, Chan Zhe Phak, Syafiqa M. Saleh

“…In this study, the potential of nondestructive determination of amine concentration, CO2 loading, and water content in CO2 absorption solvent in the gas processing unit was investigated through Fourier transform near-infrared (FT-NIR) spectroscopy that has the ability to readily carry out multicomponent analysis in association with multivariate analysis methods. …”
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Arbitrary Amplitude Dust Acoustic Solitary Waves in a Quantum Dusty Plasma with Arbitrary Dust Size Distribution by Elham Emadi, Neda Pourjafari, Hossein Zahed

“…Sagdeev potential is also plotted and it is seen that in mono sized dust grains case, solitary waves are propagated. Whereas, for different sized dust grains having power law size distribution, the solitary waves transform into cnoidal ones.. …”
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Greener and rapid magnetic solid phase microextraction method using Fe3O4@Al2O3/AC for chromatographic determination of neonicotinoid pesticides in vegetable oils by Musiiwa V. Sengane, Masixole Sihlahla, Philiswa N. Nomngongo, Nomvano Mketo

“…Different characterisation techniques such as Fourier Transform Infrared Spectroscopy (FTIR), Powder X-ray diffraction analysis (PXRD), Thermogravimetric Analysis (TGA), Transmission electron microscopy (TEM), and scanning electron microscope and energy-dispersive X-ray spectroscopy (SEM-EDS) confirmed the synthesised magnetic nano adsorbents (Fe3O4, Fe3O4@Al2O3 and Fe3O4@Al2O3/AC). …”
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Requirements‐related fault prevention during the transformation from formal specifications to programs by Jiandong Li, Shaoying Liu

“…The authors identify requirements‐related faults that can arise during the transformation of formal specifications into programs, analyse each to discover its causes, and propose corresponding fault prevention methods. …”
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