Dynamic Hypergraph Convolutional Networks for Hand Motion Gesture Sequence Recognition by Dong-Xing Jing, Kui Huang, Shi-Jian Liu, Zheng Zou, Chih-Yu Hsu

“…Hypergraph convolution is applied to update node features, while the Fourier transform facilitates frequency-domain analysis. The T-Module, a multiscale temporal convolution module, aggregates features from multiple frames to capture gesture dynamics across different time scales. …”
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Blind Frequency Offset Estimation Based on Phase Rotation For Coherent Transceiver by Qingzhao Tan, Aiying Yang, Peng Guo, Zhao Zhao

“…Conventional fast Fourier transform based frequency offset estimation (FFT-FOE) algorithm is suitable for QPSK and 8/16/64QAM signals. …”
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Wavelet analysis of geomagnetically induced currents during the strong geomagnetic storms by Aksenovich Tatyana, Bilin Vladislav, Sakharov Yaroslav, Selivanov Vasiliy

“…In order to analyze the currents a wavelet transform was chosen, since this method allows to define not only the frequency composition but also changes in spectral characteristics over time, which is significant in the study of GIC. …”
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ECG Signal Analysis for Detection and Diagnosis of Post-Traumatic Stress Disorder: Leveraging Deep Learning and Machine Learning Techniques by Parisa Ebrahimpour Moghaddam Tasouj, Gökhan Soysal, Osman Eroğul, Sinan Yetkin

“…This study aims to develop and evaluate an artificial intelligence-based classification system using electrocardiogram (ECG) signals for the detection of PTSD. <b>Methods:</b> Raw ECG signals were transformed into time–frequency images using Continuous Wavelet Transform (CWT) to generate 2D scalogram representations. …”
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Transformer With Regularized Dual Modal Meta Metric Learning for Attribute-Image Person Re-Identification by Xianri Xu, Rongxian Xu

“…In this paper, we propose a regularized dual modal meta metric learning (RDM3L) method for AIPR, which employs meta-learning training methods to enhance the transformer&#x2019;s capacity to acquire latent knowledge. …”
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Oil-cooled transformer hot spot temperature reduction using windings height optimum design by Mohammad Ali Taghikhani

“…For this purpose, the meta-heuristic modified Arctic Puffins optimization (MAPO) algorithm is used to optimize the transformer design. Moreover, temperature distribution in the transformer windings are simulated in different load conditions using a numerical method based on heat transfer theory and heat conduction equation. …”
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Enhanced Emotion Recognition Through Dynamic Restrained Adaptive Loss and Extended Multimodal Bottleneck Transformer by Dang-Khanh Nguyen, Eunchae Lim, Soo-Hyung Kim, Hyung-Jeong Yang, Seungwon Kim

“…Furthermore, this work introduces the extended multimodal bottleneck transformer, an efficient and effective mid-fusion method designed for problems involving more than two modalities to enhance the performance of emotion recognition systems. …”
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An Information Granulated Based SVM Approach for Anomaly Detection of Main Transformers in Nuclear Power Plants by Wenmin Yu, Ren Yu, Cheng Li

“…Using DGA data from the NPP data acquisition system, two experiments are designed to verify the trend tracing and prediction envelope ability of main transformers installed in NPPs with different operating ages of the proposed model. …”
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Two-Dimensional Coherent Polarization–Direction-of-Arrival Estimation Based on Sequence-Embedding Fusion Transformer by Zihan Wu, Jun Wang, Zhiquan Zhou

“…This method leverages the multi-head self-attention mechanism of the transformer to effectively capture the multi-dimensional features within the spatial-polarization domain of the covariance matrix data. …”
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Transforming Total‐Field Magnetic Anomalies Into Three Components Using Dual‐Layer Equivalent Sources by Duan Li, Qing Liang, Jinsong Du, Shida Sun, Yi Zhang, Chao Chen

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A modelling technique to determine the high frequency transformer leakage inductance using the winding structure by Yasir S. Dira, Ahmad Q. Ramli, Ungku Anisa Ungku Amirulddin, Nadia M. L. Tan

“…Abstract The operation and efficiency of isolated DC-DC converters, critical components in solid-state transformers, are significantly impacted by leakage inductance in high-frequency transformers (HFTs). …”
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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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Synthesis and mode transformation analysis of double loop 7R mechanism with motion and locking modes by Wei Liu, Nan Zhang, Binbin Meng

“…The proposed method also has certain application value in designing, analyzing, and optimizing multi-mode mechanisms that meet the transformation requirements of motion and locking production operations.…”
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Overlapping community-based fair influence maximization under a multi-transformation optimization algorithm by Chunfeng Jiang, Zegang Niu, Jingru Qu, Yulan Zhao, Amin Rezaeipanah

“…Also, selecting the most suitable transformation in advance is challenging, as different transformations lead to varying search behaviors for evaluating influence spread. …”
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Hybrid transformer and convolution iteratively optimized pyramid network for brain large deformation image registration by Xinxin Cui, Yuee Zhou, Caihong Wei, Guodong Suo, Fengqing Jin, Jianlan Yang

“…Secondly, the Swin-Transformer module is combined with the convolution iterative strategy, and each layer of the decoder is carefully designed according to the semantic information characteristics of different decoding layers. …”
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Generating Pseudo-Realistic Infrared Observations for Observing System Simulation Experiments by Isaac Moradi, Will McCarty, Nikki Prive

“…This paper presents a method for generating pseudo-realistic infrared observations for proposed instruments using high-resolution measurements from the Infrared Atmospheric Sounding Interferometer (IASI) as a reference. …”
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Evaluation of agriculture land transformations with socio-economic influences on wheat demand and supply for food sustainability by Danish Raza, Hong Shu, Muhsan Ehsan, Hong Fan, Kamal Abdelrahman, Hasnat Aslam, Abdul Quddoos, Rana Waqar Aslam, Majid Nazeer, Mohammed S. Fnais, Azeem Sardar

“…First, by incorporating more than three decades of satellite data (1990–2022) and different Landsat missions with machine learning algorithms, high-confidence classes were defined for different land features, including cropland. …”
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ViTAU: Facial paralysis recognition and analysis based on vision transformer and facial action units by Jia GAO, Wenhao CAI, Junli ZHAO, Fuqing DUAN

“…Current research primarily focuses on broad facial changes and often neglects finer facial details, which leads to insufficient analysis of how different areas affect recognition results. This study proposes an innovative method that combines the vision transformer (ViT) model with an action unit (AU) facial region detection network to automatically recognize and analyze facial paralysis. …”
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Transforming Wind Data into Insights: A Comparative Study of Stochastic and Machine Learning Models in Wind Speed Forecasting by Türker Tuğrul, Sertaç Oruç, Mehmet Ali Hınıs

“…In these analyses, five different models were created with the assistance of cross-correlation. …”
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A method for generating distributions with an application to Cauchy distribution by Fasna K.

“…There are numerous transformation methods which are in use right now. In this article, the newly proposed model is achieved by using the transformation method known as beta transformation where it does not require more than one additional parameters to the baseline distribution which absolutely is an advantage. …”
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