IoT-Based Multisensors Fusion for Activity Recognition via Key Features and Hybrid Transfer Learning by Ahmad Jalal, Danyal Khan, Touseef Sadiq, Moneerah Alotaibi, Sultan Refa Alotaibi, Hanan Aljuaid, Hameedur Rahman

“…Key features are extracted using techniques such as ORB (Oriented FAST and Rotated BRIEF), MSER (Maximally Stable Extremal Regions), DFT (Discrete Fourier Transform), and KAZE for image data, and LPCC (Linear Predictive Cepstral Coefficients), PSD (Power Spectral Density), AR Coefficient, and entropy for sensor data. …”
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A Phenologically Simplified Two-Stage Clumping Index Product Derived from the 8-Day Global MODIS-CI Product Suite by Ge Gao, Ziti Jiao, Zhilong Li, Chenxia Wang, Jing Guo, Xiaoning Zhang, Anxin Ding, Zheyou Tan, Sizhe Chen, Fangwen Yang, Xin Dong

“…In this study, we applied the discrete Fourier transform and an improved dynamic threshold method to estimate the start of season (SOS) and end of season (EOS) from the CI time series and indicated that the CI exhibits significant seasonal variation characteristics that are generally consistent with the MODIS land surface phenology (LSP) product (MCD12Q2), although seasonal differences between them probably exist. …”
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Determination of dissipated Energy in Fatigue Crack Propagation Experiments with Lock-In Thermography by Jurgen Bar, Ralf Urbanek

“…The evaluation normally is performed with a Discrete Fourier Transformation resulting in E- and D-Amplitude and phase images. …”
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Using all-phase Fourier method to reconstruct discontinuous signal by HUANG Xiang-dong, WANG Zhao-hua, LI Wen-yuan

“…By utilizing the coefficients acquired by discrete Fourier transforming the samples of signal and the high harmonic information, all-phase Fourier reconstruction was formed. …”
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A Difference Scheme and Its Error Analysis for a Poisson Equation with Nonlocal Boundary Conditions by Chunsheng Feng, Cunyun Nie, Haiyuan Yu, Liping Zhou

“…Then, we obtain the local truncation error equation by the Taylor formula and, initially, prove that the new scheme can reach the asymptotic optimal error estimate Oh2ln h in the maximum norm through ingeniously transforming a two-dimensional problem to a one-dimensional one through bringing in the discrete Fourier transformation. Numerical experiments demonstrate the correctness of theoretical results.…”
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Transverse Strains in Muscle Fascicles during Voluntary Contraction: A 2D Frequency Decomposition of B-Mode Ultrasound Images by James M. Wakeling, Avleen Randhawa

“…Images were acquired from the medial and lateral gastrocnemii during cyclic contractions, enhanced using multiscale vessel enhancement filtering and the spatial frequencies resolved using 2D discrete Fourier transforms. The frequency information was resolved into the fascicle orientations that were validated against manually digitized values. …”
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Unraveling landslide failure mechanisms with seismic signal analysis for enhanced pre-survey understanding by J.-M. Chang, J.-M. Chang, C.-M. Yang, W.-A. Chao, W.-A. Chao, C.-S. Ku, M.-W. Huang, M.-W. Huang, T.-C. Hsieh, C.-Y. Hung

“…Through efficient discrete Fourier transforms for spectrograms, we identified three distinct events, with the first being the most substantial. …”
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