Lubrication state identification of vibration time-frequency characteristics based on CWT and CNN by Haijie Yu, Haijun Wei

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Application of Signal Processing Techniques to the Vibration Analysis of a 3-DoF Structure Under Multiple Excitation Scenarios by Leidy Esperanza Pamplona Berón, Marco Claudio De Simone, Domenico Guida

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Intelligent islanding detection framework for smart grids using wavelet scalograms and HOG feature fusion by Kumaresh Pal, Kumari Namrata, Ashok Kumar Akella, Akshit Samadhiya, Ahmad Taher Azar, Mohamed Tounsi, Naglaa F. Soliman, Walid El-Shafai

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Network of Settlements in Novosibirsk District in 1920s: Population, Structure and Development Features by A. I. Tatarnikova

“…Data on the quantitative ratio of settlements of different types, their household and population composition are presented for the first time, and continuity and transformation in the development of the settlement system in the district are traced. …”
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The synchronization of the orthogonal frequency division multiplexing system by R. A. Zhernosekov, V. T. Pershin

“…The results presented research OFDM system synchronization by using one of the basic properties of the continuous Fourier transform, characterized by the duality between a convolution in the time domain, and multiplying the frequency domain, which is not fully extended to the discrete case. …”
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Artificial Intelligence for the Detection and Treatment of Atrial Fibrillation by David M Harmon, Ojasav Sehrawat, Maren Maanja, John Wight, Peter A Noseworthy

“…As artificial intelligence (AI) continues to transform the practice of medicine, this review article highlights specific applications of AI for the screening, diagnosis and treatment of AF. …”
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Evaluation of the Technical Condition of the Active Part of the High Power Transformer Based on Measurements and Analysis of Vibroacoustic Signals by Sebastian BORUCKI, Andrzej CICHOŃ, Henryk MAJCHRZAK, Dariusz ZMARZŁY

“…However, the analysis of signals measured during the commissioning of the transformer was conducted in the time-frequency domain using the short-time Fourier transform (STFT), continuous wavelet transform (CWT), and discrete wavelet transform (DWT). …”
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High‐frequency content within the QRS complex can predict ventricular tachyarrhythmias in hypertrophic cardiomyopathy by Takeshi Tsutsumi, Jun Yokomachi, Takafumi Nakajima, Kentaro Minami, Nami Takano, Kuniaki Iwasawa, Gaku Oguri, Shigeru Toyoda, Toshiaki Nakajima

“…We measured bipolar X, Y, and Z leads and calculated the frequency power using continuous wavelet transform (CWT). We compared frequency powers, ranging from 15 to 250 Hz, between patients with HCM with and without L‐VAs. …”
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Enhanced Fault Diagnosis in Milling Machines Using CWT Image Augmentation and Ant Colony Optimized AlexNet by Niamat Ullah, Muhammad Umar, Jae-Young Kim, Jong-Myon Kim

“…These data are converted into two-dimensional continuous wavelet transform (CWT) images for superior time-frequency localization. …”
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WITHDRAWAL OF THE DOCTORAL TITLE by Dana Maria IOAN

“…The desire, the motivation to hold this title can be of a professional, social or personal nature or a little of each, it can be a positive call stemming from the desire for knowledge, development and to contribute to the continuous technological transformation of society or, on the contrary, it can be animated by the reprehensible need of the individual to access, without being entitled, an environment to which he does not belong and in which he does not deserve, from the point of view of education, qualification and training, a position, that is, in fewer words, the need to succeed. …”
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Multi-resolution analysis of gravity anomalies: A comparative study of modern and spherical approximation techniques by Kolawole S. ILESANMI, Herbert TATA, Ifechukwu U. NZELIBE, Timothy O. IDOWU

“…The quantity, depth, shape, and density of deposited mineral were computed from their respective residual gravity anomalies using the 2D Continuous Wavelet Transform and Modulus Maxima of the wavelet transform coefficients. …”
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Photoplethysmogram (PPG)-Based Biometric Identification Using 2D Signal Transformation and Multi-Scale Feature Fusion by Yuanyuan Xu, Zhi Wang, Xiaochang Liu

“…By applying Continuous Wavelet Transform (CWT), the preprocessed one-dimensional PPG signal is transformed into a two-dimensional time-frequency map, which not only preserves the time-frequency characteristics of the signal but also provides richer spatial information. …”
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BlendNet: a blending-based convolutional neural network for effective deep learning of electrocardiogram signals by S. Premanand, Sathiya Narayanan

“…Since 2D-represented ECG signals facilitate better feature extraction, it is a common practice to convert an ECG signal into a scalogram image using a continuous wavelet transform (CWT) approach and then subject it to a DL architecture such as 2-D CNN. …”
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Radio Frequency Sensing–Based Human Emotion Identification by Leveraging 2D Transformation Techniques and Deep Learning Models by Najah AbuAli, Ihtesham Jadoon, Farman Ullah, Mohammad Hayajneh, Shayma Alkobaisi

“…To meet the need for a reliable, contactless, and noninvasive sensing platform for emotion recognition, The one-dimensional (1D) time-series signal dataset obtained using the designed RFS–SDR platform is processed and transformed into two-dimensional (2D) time–frequency images (TFIs) via continuous wavelet transform (CWT), short-time Fourier transform (STFT), and wavelet coherence transform (WCT). …”
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