TÜRKİYE’DE EKONOMİK BÜYÜME VE EKOLOJİK AYAK İZİ ARASINDA NEDENSELLİK İLİŞKİSİNİN ANALİZİ: DALGACIK YÖNTEMİ YAKLAŞIMI by Dilek Alma Savaş, Veysel Erat, Yunus Savaş

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A novel graph convolution and frequency domain filtering approach for hyperspectral anomaly detection by Yang Ding, Hao Yan, Jingyuan He, Juanjuan Yin, A. Ruhan

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Online multi‐object tracking based on time and frequency domain features by Mahbubeh Nazarloo, Meisam Yadollahzadeh‐Tabari, Homayun Motameni

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Using effective signal filtering methods to data processing from a fiber-optic temperature sensor by I. A. Ershov

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Unconventional monetary policy and the (Neo)Fisher effect: has the federal reserve misunderstood monetary policy? by Andrew Phiri

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Optimized convolutional neural network using African vulture optimization algorithm for the detection of exons by K. Jayasree, Malaya Kumar Hota

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Transient Thermal Cooling of Electronics Systems using Functional Graded Fins: Hybrid Computational Analysis by Akinwale Emmanuel Jemiseye, Gbeminiyi Musibau Sobamowo, Olayiwola Olatunji Mayowa

Subjects: “…Electronic cooling; Thermal-management; Convective-radiative fin; Functionally graded materials (FGMs); Fin tip temperature; Laplace Transform-Legendre Wavelet Collocation Method (.LT-LWCM).…”
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Structural Health Monitoring of Steel Pipes under Different Boundary Conditions and Choice of Signal Processing Techniques by Rais Ahmad, Tribikram Kundu

“…Several types of mother wavelet functions such as Daubechies, Symlet, and Meyer have been used for the continuous wavelet transform to investigate the most suitable wavelet function for defect detection. …”
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Efficient Time-Frequency Localization of a Signal by Satish Chand

“…A new representation of the Fourier transform in terms of time and scale localization is discussed that uses a newly coined A-wavelet transform (Grigoryan 2005). The A-wavelet transform uses cosine- and sine-wavelet type functions, which employ, respectively, cosine and sine signals of length 2π. …”
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Approximation of Bivariate Functions via Smooth Extensions by Zhihua Zhang

“…After that, we expand the smooth, periodic function into a Fourier series or a periodic wavelet series or we expand the smooth, compactly supported function into a wavelet series. …”
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A Novel Fault Diagnosis Method for Motor Bearing Based on DTCWT and AFSO-KELM by Yan Lu, Peijiang Li

“…Aiming at the defects of wavelet transform-based feature extraction and extreme learning machine-based classification, a novel fault diagnosis method for motor bearing, based on dual tree complex wavelet transform and artificial fish swarm optimization-kernel extreme learning machine (DTCWT-AFSO-KELM), is proposed in this paper. …”
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A Spectrum Detection Approach for Bearing Fault Signal Based on Spectral Kurtosis by Yunfeng Li, Liqin Wang, Jian Guan

“…According to the similarity between Morlet wavelet and fault signal and the sensitive characteristics of spectral kurtosis for the impact signal, a new wavelet spectrum detection approach based on spectral kurtosis for bearing fault signal is proposed. …”
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Research on Feature Fusion Method of Mine Microseismic Signal Based on Unsupervised Learning by Rui Liu

“…Aiming at the problem of unobvious feature extraction of multiclass mine microseismic signals, this paper is based on the unsupervised learning method in the deep learning method, combined with wavelet packet energy ratio and empirical modulus singular value decomposition, and proposes a method based on wavelet packet energy and empirical modulus singular value decomposition and proposes a method (M-W&E) based on wavelet packet energy and empirical modulus singular value decomposition. …”
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Quantitative Identification of Pulse-Like Ground Motions Based on Hilbert–Huang Transform by Zhen Liu

“…In this method, HHT is used to decompose ground motions instead of wavelet. HHT can overcome the dependence of wavelet analysis on the selection of mother wave, and thus more complex velocity pulses can be identified. …”
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Experiment Analysis of Drilling Feedback Signal from Simulation of Roadway Roof by Gang Guo, Haoyuan Zhao, Zhilong Qi, Chenjun Hu, Baofu Zhao, Shengzhi Wang

“…And more research is needed to determine the selection method of wavelet.…”
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Feature Recognition of Crop Growth Information in Precision Farming by Hanqing Sun, Xiaohui Zhang, Zhou Yu, Gang Xi

“…To identify plant electrical signals effectively, a new feature extraction method based on multiwavelet entropy and principal component analysis is proposed. The wavelet energy entropy, wavelet singular entropy, and the wavelet variance entropy of plants’ electrical signals are extracted by a wavelet transformation to construct the combined features. …”
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Evaluation of Hybrid Soft Computing Model’s Performance in Estimating Wave Height by Tzu-Chia Chen, Zryan Najat Rashid, Biju Theruvil Sayed, Arif Sari, Ahmed Kateb Jumaah Al-Nussairi, Majid Samiee-Zenoozian, Mehrdad Shokatian-Beiragh

“…According to the findings of this study, the accuracy of WANN and Wavelet-M5 hybrid models in evaluating wave height is superior to that of classic ANN and M5MT, and it is recommended that WANN and Wavelet-M5 hybrid models be used to estimate wave height.…”
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An Efficient Image Denoising Method for Wireless Multimedia Sensor Networks Based on DT-CWT by Rachid Sammouda, Abdul Malik S. Al-Salman, Abdu Gumaei, Nejmeddine Tagoug

“…This method is designed to reduce the image noises by selecting an optimal threshold value estimated from the approximation of wavelet coefficients. In our experiment, the proposed method was tested and compared with standard Discrete Wavelet Transform (DWT) and Stationary Wavelet Transform (SWT) on a set of natural scene images. …”
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Research on the Method of Detecting the Spreading Rate of the Simultaneous Crushed Stone Sealing Layer Based on Machine Vision by Xin Rong, Honghai Liu, Xinmin Gao, Qinghua Bian

“…In this paper, a detection method of gravel coverage based on improved wavelet algorithm is proposed. By decomposing the image with two-dimensional discrete wavelet, the high-frequency and low-frequency coefficients are extracted. …”
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Analysis of the Fractional-Order Delay Differential Equations by the Numerical Method by Saadia Masood, Muhammad Naeem, Roman Ullah, Saima Mustafa, Abdul Bariq

“…The obtained results have confirmed the greater accuracy than the modified Laguerre wavelet method, the Chebyshev wavelet method, and the modified wavelet-based algorithm. …”
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