Investigation of a transformer-based hybrid artificial neural networks for climate data prediction and analysis by Shangke Liu, Ke Liu, Zheng Wang, Yuanyuan Liu, Bin Bai, Rui Zhao

“…Lastly, LSTM is adept at handling long-term dependencies, ensuring the model can remember and utilize information over extended time spans.Results and DiscussionExperiments conducted on temperature data from Guangdong Province in China validate the performance of the proposed model. Compared to four different climate prediction decomposition methods, the proposed hybrid model with the Transformer method performs the best. …”
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Enhancing Single-Cell and Bulk Hi-C Data Using a Generative Transformer Model by Ruoying Gao, Thomas N. Ferraro, Liang Chen, Shaoqiang Zhang, Yong Chen

“…Furthermore, when applied to scHi-C data from five human cell lines, it significantly improved clustering performance, outperforming five widely used methods. The adaptability of HiCENT across different datasets and its capacity to improve the quality of chromatin interaction data will facilitate diverse downstream computational analyses in 3D genome research, single-cell studies and other large-scale omics investigations.…”
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DFST-UNet: Dual-Domain Fusion Swin Transformer U-Net for Image Forgery Localization by Jianhua Yang, Anjun Xie, Tao Mai, Yifang Chen

“…DFST-UNet is built on a U-shaped encoder–decoder architecture. Swin Transformer blocks are integrated into the U-Net architecture to capture long-range context information and perceive forged regions at different scales. …”
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Simulation-Based Evaluation of Robust Transformation Techniques for Median Estimation Under Simple Random Sampling by Fatimah A. Almulhim, Abdulaziz S. Alghamdi

“…A comparison of the proposed estimators and existing methods is conducted through five simulated populations generated through different suitable distributions and three real datasets. …”
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Meta-Transformers: A Hybrid Approach for Medical Image Segmentation With U-Net and Meta-Learning by Neha Tirpude, Tausif Diwan, Meera Dhabu

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Laclau and Mouffe's Radical Hegemony and Democracy Thought: The Transformation of the Free Aceh Movement into the Aceh Party by Anandita Azzahra, Cinta Rasullillah, Davina Shafa Andira, Jihan Rahmadani, Aniqotul Ummah

“…The focus of this paper is on analyzing GAM's transformation into the Aceh Party, which is different from other radical movements in Indonesia. …”
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Fault diagnosis in electric motors using multi-mode time series and ensemble transformers network by Bo Xu, Huipeng Li, Ruchun Ding, Fengxing Zhou

“…During network training, the chaotic WOA optimizes the ensemble Transformer network’s hyper-parameters. Finally, the proposed method is trained and tested on a motor measurement multi-modal dataset. …”
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Liveness Detection in Computer Vision: Transformer-Based Self-Supervised Learning for Face Anti-Spoofing by Arman Keresh, Pakizar Shamoi

“…Numerous tests on standard datasets show that the ViT model performs better than other models in terms of accuracy and resistance to different spoofing methods. Our model’s superior performance, particularly in APCER (1.6%), the most critical metric in this domain, underscores its improved ability to detect spoofing relative to other models. …”
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Detection and Classification of Abnormal Power Load Data by Combining One-Hot Encoding and GAN–Transformer by Ting Yang, Hongyi Yu, Danhong Lu, Shengkui Bai, Yan Li, Wenyao Fan, Ketian Liu

“…Furthermore, it outperforms traditional methods such as LSTM-NDT, Transformer, OmniAnomaly and MAD-GAN in Overall Accuracy, Average Accuracy, and Kappa coefficient, thereby validating the effectiveness and superiority of the proposed anomaly detection and classification method.…”
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Structural transformations and their impact on the mechanical and antifriction properties in the process of alloying graphitized hypereutectoid steel with copper by Natalia V. Stepanova, Elena A. Lozhkina

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Study on the Characteristics of Crystal Formation and Transformation of Alkali-Activated Slag Minerals Induced by Weak Alkali by Guodong Huang, Yonghao Huang, Xiaojun Zheng, Fengan Zhang, Jiahao Xu, Jun Qi, Zijian Chen

“…In this study, the effects of both strong and weak alkaline activators on the activation performance of alkali slag were examined, using a combination of X-ray diffraction, scanning electron microscopy, and Fourier-transform infrared spectroscopy analysis methods. The reaction mechanism was analyzed under different alkaline conditions, and the preparation cost could be significantly reduced without significantly degrading mechanical properties. …”
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Ensemble models enhanced estimates of leaf chlorophyll from fractional order derivatives transformed spectra by Guangman Song, Yi Gan, Lingfeng Mao, Zhiwei Ge, Jiangshan Lai, Quan Wang

“…To address these challenges, we applied the fractional order derivatives (FOD) transformed spectra into ensemble models, consisting of two popular data-oriented approaches, to refine the spectral response characteristics of leaf chlorophyll using a composite dataset (two public datasets: LOPEX and ANGERS; two collected datasets: Naeba and Nakakawane) containing different species samples. …”
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EHR-protect: A steganographic framework based on data-transformation to protect electronic health records by Adifa Widyadhani Chanda D'Layla, Ntivuguruzwa Jean De La Croix, Tohari Ahmad, Fengling Han

“…EHR-Protect uses logarithmic pixel transformation and adaptive techniques such as difference expansion and EHR magnitude reduction to minimize distortions in carrier medical images. …”
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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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Generating Pseudo-Realistic Infrared Observations for Observing System Simulation Experiments by Isaac Moradi, Will McCarty, Nikki Prive

“…The approach involves converting IASI measurements into infrared spectra using the Fast Fourier Transform (FFT) and inverse FFT (iFFT), then deriving channel-specific radiances for new instruments by convolving sensor response functions. …”
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CoastVisionNet: transformer with integrated spatial-channel attention for coastal land cover classification by Li Yang, Liu Yijun, Wenhao Deng

“…These limitations stem from rigid spatial encoding schemes, insufficient spectral differentiation, and a lack of dynamic reasoning capabilities.MethodsTo overcome these challenges, we introduce CoastVisionNet, a transformer-based framework with integrated spatial-channel attention tailored for coastal land cover classification. …”
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Thyroid nodule segmentation in ultrasound images using transformer models with masked autoencoder pre-training by Yi Xiang, Rajendra Acharya, Quan Le, Jen Hong Tan, Chiaw-Ling Chng

“…The difficulty arises from factors such as the absence of prior knowledge about the thyroid region, low contrast between anatomical structures, and speckle noise, all of which obscure boundary detection and introduce variability in nodule appearance across different images.MethodsTo address these challenges, we propose a transformer-based model for thyroid nodule segmentation. …”
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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 results show that this type of 7R mechanism can achieve the transformation of motion and locking modes. By changing the configuration of the singular 3R kinematic chain, the motion mode of the 4R mechanism loop under different motion bifurcation configurations can be transformed. …”
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MISTIC: a novel approach for metastasis classification in Italian electronic health records using transformers by Livia Lilli, Mario Santoro, Valeria Masiello, Stefano Patarnello, Luca Tagliaferri, Fabio Marazzi, Nikola Dino Capocchiano

“…In this paper, we introduce MISTIC, a Natural Language Processing (NLP) approach to classify the presence or absence of metastasis in Italian EHRs, in the breast cancer domain. Methods Our approach consists of a transformer-based framework designed for few-shot learning, requiring a small labelled dataset and minimal computational resources for training. …”
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Expression analysis of transforming growth factor beta (TGF-β) in oral squamous cell carcinoma by Arun Ganesh, P.P. Ashikha Shirin Usman, Ameya K.P., Priya Thomas, Dhanraj M. Ganapathy, Durairaj Sekar

“…Although much progress has been made to control OSCC in recent years, therapies for OSCC remain challenging. Interestingly, transforming growth factor β (TGF-β) plays an important role in the extracellular microenvironment and different cellular processes like migration, proliferation, etc. …”
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