Deep learning of the particulate and mineral-associated organic carbon fractions using a compositional transform and mid-infrared spectroscopy by Mingxi Zhang, Zefang Shen, Lewis Walden, Farid Sepanta, Zhongkui Luo, Lei Gao, Oscar Serrano, Raphael A. Viscarra Rossel

“…We used the centred log ratio (CLR) method to transform the data compositionally and then modelled POCmac, POCmic, POC (POCmac + POCmic), and MAOC with the spectra, using convolutional neural networks (CNN) and cubist for benchmarking. …”
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Improving the Prediction of GNSS Satellite Visibility in Urban Canyons Based on a Graph Transformer by Shaolong Zheng, Kungan Zeng, Zhenni Li, Qianming Wang, Kan Xie, Ming Liu, Shengli Xie

“…The use of deep neural networks offers great potential for predicting and eliminating complex multipath/non-line-of-sight (NLOS) errors. However, existing methods for predicting the original signals face two remaining challenges. …”
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Discrete Cosine Transform-Based Joint Spectral–Spatial Information Compression and Band-Correlation Calculation for Hyperspectral Feature Extraction by Ziqi Zhao, Changbao Yang, Zhongjun Qiu, Qiong Wu

“…To address this over-smoothing problem, we designed a method for extracting spectral–spatial-band-correlation (SSBC) features. …”
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Spectral Super-Resolution Technology Based on Fabry–Perot Interferometer for Temporally and Spatially Modulated Fourier Transform Imaging Spectrometer by Yu Zhang, Qunbo Lv, Jianwei Wang, Yinhui Tang, Jia Si, Xinwen Chen, Yangyang Liu

“…The simulation results indicate that this method can achieve multi-component joint interference imaging, improving spectral resolution by twofold. …”
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Analysis of Optical Errors in Joint Fabry–Pérot Interferometer–Fourier-Transform Imaging Spectroscopy Interferometric Super-Resolution Systems by Yu Zhang, Qunbo Lv, Jianwei Wang, Yinhui Tang, Jia Si, Xinwen Chen, Yangyang Liu

“…Fourier-transform imaging spectroscopy (FTIS) faces inherent limitations in spectral resolution due to the maximum optical path difference (OPD) achievable by its interferometer. …”
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Conceptualization of the concept of digital maturity of a university in the context of digital transformation of higher education by Galina Alekseevna Bannykh, Svetlana Nikolaevna Kostina

“…In relation to the concept, different approaches have been formed: biological, psychological, process, the category is comprehended both as a result and as a prerequisite for the digital transformation of universities. …”
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Experimental Studies of Mechanical-Electrical Transformations during the Destructive Processes Developing in Dielectric Materials by A.A. Беспалько, Г.Е. Уцын, П.И. Федотов

“…This circumstance indicates the influence of the structure of the samples and their dielectric properties on the parameters of electromagnetic signals when recording the results of mechanical and electrical transformations. Thus, the use of the method of mechanical-electrical transformations under compression can be used in testing the processes of the onset of crack formation and the development of fracture in solid-state dielectric materials and products. …”
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Human Brain-Inspired Network Using Transformer and Feedback Processing for Cell Image Segmentation by Hinako Mitsuoka, Kazuhiro Hotta

“…Experiments on three different cell image datasets confirmed that the proposed method surpasses the methods without feedback processing, demonstrating its superior accuracy in cell image segmentation. …”
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Transformation of the Model of State-Confessional Relations in Belarus at the End of the 19th Century – 1917 by Tatsiana Lisouskaya

“…The study was conducted using an interdisciplinary methodology: historical-typological and historical-comparative methods, formal-legal, and the method of interpretation of legal norms were used. …”
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Analyzing the influence of ZnO nanoparticles on transformer oil using dissolved gas analysis by Abhijeet Lal, Anup Mishra, Anupam Agrawal, Rounak Kumar Tamrakar, Nagendra Tripathi, Sunil Kumar Chouhan

“…The results of the DGA test are used to assess the conditions and identify potential disturbances in the power transformer. The outcome of the fault indication is also influenced by the different gas analysis techniques employed.The findings indicate that incorporating ZnO nanoparticles significantly alters the dissolved gas patterns, with each diagnostic method offering unique perspectives on fault conditions. …”
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Image Super-Resolution via Adaptive Regularization Term of Compressed Sensing by Yintao Liu, Chao Ren, Hongjuan Shao, Qirui Liu, Yan Zhang

“…In addition, we derived an approximation to solve the model iteratively using the alternating direction method of multipliers (ADMM). In this paper, the sparse transform domain is trained by the K-SVD algorithm and the accuracy evaluation indexes of the experiments use peak signal-to-noise ratio (PSNR) and structural similarity (SSIM). …”
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A Review on Image Enhancement and Restoration Techniques for Underwater Optical Imaging Applications by N. Deluxni, Pradeep Sudhakaran, Kitmo, Mouhamadou Falilou Ndiaye

“…The UIE techniques are grouped under various category such as spatial domain, transform domain, color constancy based method, retinex based approach. …”
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Fourier-Transform Infrared Spectroscopy Analysis of 3D-Printed Dental Resins Reinforced with Yttria-Stabilized Zirconia Nanoparticles by Andrea Izabella Borș

“…<b>Methods:</b> Three groups of 3D-printed methacrylate-based resin discs were fabricated: a control (0% YSZ), and experimental groups reinforced with 1% and 3% YSZ nanoparticles. …”
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GeNetFormer: Transformer-Based Framework for Gene Expression Prediction in Breast Cancer by Oumeima Thaalbi, Moulay A. Akhloufi

“…This topic has been a challenge in numerous studies. <i>Method:</i> In this study, we present a deep learning framework called GeNetFormer. …”
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The Determination of On-Water Rowing Stroke Kinematics Using an Undecimated Wavelet Transform of a Rowing Hull-Mounted Accelerometer Signal by Daniel Geneau, Drew Commandeur, Ryan Brodie, Ming-Chang Tsai, Matt Jensen, Marc Klimstra

“…Previous studies have used simple feature detection methods to identify key phases within individual strokes, such as drive onset, drive time, drive offset and stroke time. …”
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Sensitivity Study of Feature Vectors Formed on the Basis of Multiple Scale Transformations of Processed Images by D. V. Vasilieva

“…A series of experiments was conducted to select a basis for discrete wavelet transforms. Modeling was conducted using the study results of the sensitivity of the feature vectors of images formed on the basis of different types of wavelet transforms. …”
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A SIMPLIFIED MODEL OF THREE-PHASE BANK OF CURRENT TRANSFORMERS IN THE DYNAMIC SIMULATION SYSTEM by I. V. Novash, Yu. V. Rumiantsev

“…An elaborated user-friendly graphic interface provides a means of visual assigning the CT nominal parameters, the residual magnetic induction, and the method of the transformer iron magnetization curve approximation. …”
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CME Velocity Field Calculation Model Based on an Unsupervised Transformer Optical Flow Network by Qingyang Chen, Hong Lin, Zhenping Qiang, Hui Liu, Kaifan Ji, Zhenhong Shang

“…Fluctuations in exposure time and the influence of space weather will lead to inconsistent brightness of the same feature point at different times. To address this problem, we propose an unsupervised multiscale optical flow network based on Vision Transformer, named UTFlowNet. …”
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Multi-label remote sensing classification with self-supervised gated multi-modal transformers by Na Liu, Ye Yuan, Guodong Wu, Sai Zhang, Jie Leng, Lihong Wan

“…In this paper, we pretrain the ViT model based on BigEarthNet dataset by combining two commonly used SSL algorithms, and propose an intra-modal and inter-modal gated fusion unit for feature learning by combining multispectral (MS) and synthetic aperture radar (SAR). Our method can effectively combine different modal data to extract key feature information.Results and discussionAfter fine-tuning and comparison experiments, we outperform the most advanced algorithms in all downstream classification tasks. …”
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Applying Decision Transformers to Enhance Neural Local Search on the Job Shop Scheduling Problem by Constantin Waubert de Puiseau, Fabian Wolz, Merlin Montag, Jannik Peters, Hasan Tercan, Tobias Meisen

“…In particular, we developed a method for training the decision transformer (DT) algorithm on search trajectories taken by a trained NLS agent to further improve upon the learned decision-making sequences. …”
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