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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Dual scale light weight cross attention transformer for skin lesion classification. by Dhirendra Prasad Yadav, Bhisham Sharma, Shivank Chauhan, Julian L Webber, Abolfazl Mehbodniya

“…Furthermore, we applied a fusion strategy for the different scale spatial features. After that, enhanced features are fed to the lightweight transformer encoder for global attention. …”
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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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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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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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Time–Frequency Transformations for Enhanced Biomedical Signal Classification with Convolutional Neural Networks by Georgios Lekkas, Eleni Vrochidou, George A. Papakostas

“…In this study, we investigated the effectiveness of different 1D-to-2D transformation methods to classify electrocardiogram (ECG) and electroencephalogram (EEG) signals. …”
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Cross-attention swin-transformer for detailed segmentation of ancient architectural color patterns by Lv Yongyin, Yu Caixia

“…These methods struggle with balancing precision and computational efficiency, especially when dealing with complex patterns and high-resolution images.MethodsTo address these limitations, we propose a novel segmentation model that integrates a hierarchical vision transformer backbone with multi-scale self-attention, cascaded attention decoding, and diffusion-based robustness enhancement. …”
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Evaluation of Feature Transformation and Machine Learning Models on Early Detection of Diabetes Mellitus by Ahmed Ali Linkon, Inshad Rahman Noman, Md Rashedul Islam, Joy Chakra Bortty, Kanchon Kumar Bishnu, Araf Islam, Rakibul Hasan, Masuk Abdullah

“…Our results demonstrate the varying effectiveness of different combinations of feature transformation techniques and ML models in enhancing diabetes detection performance. …”
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Spatio-temporal transformer and graph convolutional networks based traffic flow prediction by Jin Zhang, Yimin Yang, Xiaoheng Wu, Sen Li

“…Firstly, most current methods rely on Graph Convolutional Networks (GCNs) to extract spatial correlations, typically using predefined adjacency matrices. …”
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TRANSFORMATION OF CHAN-BUDDHIST MOTIFS IN MONASTERY POETRY OF THE SONG DYNASTY (GENDER ASPECT) by Anna V. Ryzhkova

“…To achieve this goal, several methods were used – hermeneutic, historical and cultural, historical and literary, comparative methods as well as semantic and poetical analysis. …”
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Eugene Onegin Film Adaptations: The Loss or Transformation of Alexander Pushkin’s Poetic Code? by S. V. Rudakova

“…The author used the semiotic approach, as well as comparative, cultural-semiotic, descriptive, and intertextual methods, to study the transformation of Pushkin’s poetic code on different levels in the context of its visual interpretations. …”
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Participatory democracy and civil society: Transforming societal decision-making in the information age by Auli Keskinen

“…Furthermore, author sets to analyse "different ways", "different truths" which could work for the development of teledemocracy, the type of democracy, which, given the usage of ICT as a tool, might hand the reins of self-governance over to society, introduce the right of direct participation of every citizen in political agenda-setting, hence help transform a modern representative democracy into the participatory democracy. …”
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WIDEBAND TRANSFORMER FOR MATCHING OF LOW-IMPEDANCE LOADS IN VERY HIGH FREQUENCY RANGE by N. M. Naumovich, A. P. Joubko, M. V. Davydov, O. S. Maltsev

“…The reason of that is an impossibility of appliance standard methods with using a network vector analyzer. The prototyping was done and values of the standing wave ratio and inserting losses were obtained for different levels of the input power. …”
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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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From Image to Sequence: Exploring Vision Transformers for Optical Coherence Tomography Classification by Amirali Arbab, Aref Habibi, Hossein Rabbani, Mahnoosh Tajmirriahi

“…Methods: This paper introduces a novel hybrid model that integrates the strengths of convolutional neural networks (CNNs) and vision transformer (ViT) to overcome these obstacles. …”
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Detection and classification of ChatGPT-generated content using deep transformer models by Mahdi Maktabdar Oghaz, Lakshmi Babu Saheer, Kshipra Dhame, Gayathri Singaram

“…We assessed the efficacy of different models in detecting and classifying AI-generated content, with a particular focus on transformer-based architectures.ResultsExperimental results demonstrate that the proposed RoBERTa-based custom deep learning model achieved an F1-score of 0.992 and an accuracy of 0.991, followed by DistilBERT, which yielded an F1-score of 0.988 and an accuracy of 0.988. …”
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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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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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Multiscale Spatial-Spectral CNN-Transformer Network for Hyperspectral Image Super-Resolution by Jiayang Zhang, Hongjia Qu, Junhao Jia, Yaowei Li, Bo Jiang, Xiaoxuan Chen, Jinye Peng

“…Furthermore, in order to fully exploit the global contextual consistency in HSIs, we introduce a sparse spectral transformer module. This module processes the previously obtained local spatial-spectral features, thoroughly exploring the elaborate global interrelationship and long-range dependencies among different spectral bands through a coarse-to-fine strategy. …”
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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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