Influence of Transformation Coefficient of Refrigerating Machine on Exergetic Efficiency of Air Conditioning System of Operating Clean Rooms by Volodymyr Labay, Kyrylo Andreiko

“…Exergetic method is a universal way of thermodynamic research of various processes of energy transformation in energy technological systems, to which air conditioning system for clean room belongs. …”
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Transforming machine learning model knowledge into material insights for multi-principal-element superalloy phase design by Qiuling Tao, Xintong Yang, Longke Bao, Yuexin Zhou, Tao Yang, Yilu Zhao, Rongpei Shi, Zhifu Yao, Xingjun Liu

“…Then, the Shapley additive explanation method is used to extract knowledge from the models and transform them into understandable material insights. …”
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A Dual-Branch Network of Strip Convolution and Swin Transformer for Multimodal Remote Sensing Image Registration by Kunpeng Mu, Wenqing Wang, Han Liu, Lili Liang, Shuang Zhang

“…We conducted experiments on panchromatic–multispectral, infrared–optical, and SAR–optical image pairs with large-scale rigid transformations. The experimental results show that our method achieves the best registration effect.…”
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Efficient Satellite Image Retrieval Using Shearlet Transforms and Spiking Neurons-Based Liquid Autoencoder Model by Sai Bhargav Kasetty, K. Rajakumar

“…The system integrates liquid autoencoders with shearlet transforms to derive robust feature representations from satellite images. …”
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MDNCT: a multi-domain neurocognitive transformer architecture approach for early prediction of autism spectrum disorders by Shtwai Alsubai

“…Thus, this work proposes the multi-domain NeuroCognitive Transformer (MDNCT) suitable for different prediction tasks on different datasets. …”
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VTformer: a novel multiscale linear transformer forecaster with variate-temporal dependency for multivariate time series by Rui Dai, Zheng Wang, Jing Jie, Wanliang Wang, Qianlin Ye

“…Abstract Recently, the prosperity of linear models has raised questions about capturing the sequential capabilities of Transformer forecasters. Although the latest Transformer-based studies have alleviated some of these concerns, the limited information utilization still constrains the model’s comprehensive exploration of complex dependencies, as these forecasters often prioritize global dependence on time stamps and overlook correlations between different variates. …”
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AMSformer: A Transformer for Grain Storage Temperature Prediction Using Adaptive Multi-Scale Feature Fusion by Qinghui Zhang, Weixiang Zhang, Quanzhen Huang, Chenxia Wan, Zhihui Li

“…To tackle this issue, this paper introduces an adaptive multi-scale feature fusion transformer model (AMSformer). Firstly, the model utilizes the adaptive channel attention (ACA) mechanism to adjust the weights of different channels according to the input data characteristics and suppress irrelevant or redundant channels. …”
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Evaluating the level of digitalization of the innovation process with artificial intelligence approach in the digital transformation of knowledge-based companies by ali Bagheri, reza radfar, sepehr ghazinoory

“…The results of 188 indicators were distributed in the form of a 5-point Likert questionnaire and by Delphi method in two times among 18 experts in this field. …”
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Analytic solutions of the time-fractional Boiti-Leon-Manna-Pempinelli equation via novel transformation technique by Bushra Yasmeen, Khalil Ahmad, Ali Akgül, Qasem Al-Mdallal

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Gastrointestinal Tract Disease Classification Using Residual-Inception Transformer With Wireless Capsule Endoscopy Images Segmentation by Erdal Ozbay

“…In this study, the approach of segmenting GI tract regions in Wireless Capsule Endoscopy (WCE) scans was used together with a long-range transformer model. In order to produce local information with surrounding pixels and patches in the architecture, embedding a split token method is applied to the transformer block. …”
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GTMALoc: prediction of miRNA subcellular localization based on graph transformer and multi-head attention mechanism by Xindi Huang, Jipu Jiang, Lifen Shi, Cheng Yan

“…Then, we use a graph transformer to capture relationships between nodes within the networks, enabling a better understanding of miRNA functions across different biological contexts. …”
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Polymorphisms and plasma level of transforming growth factor-Beta 1 and risk for preeclampsia: a systematic review. by Xun Li, Lin Shen, Hongzhuan Tan

“…<h4>Background</h4>Transforming growth factor-beta 1 (TGF-β1) is thought to be involved in the pathogenesis of preeclampsia (PE), but the results are inconsistent among studies. …”
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Cultural facilities and urban development: WIELS contemporary art centre and the transformation of a working-class neighbourhood by Simon Debersaques

“…In this article, we attempt to understand how WIELS contributes to urban development through culture. By combining different qualitative methods, it is clear that although WIELS was initially caught in a conflict between property income and openness towards its neighbourhood, certain tangible and discursive elements might prompt us to consider WIELS as one of the components in the formation of a new creative metropolitan centrality.…”
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Analysis of parameter adaptability for multi-product pipelines with high heads transformed into liquid ammonia transmission system by Mingyue HUANG, Renfu TU, Qi LIAO, Weilong NI, Zhengbing LI, Hao ZHANG, Bin XU, Yongtu LIANG

“…The control variable method was employed to compare hydrothermal parameters among typical undulating pipeline segments. …”
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Over 60% precipitation transformed into terrestrial water storage in global river basins from 2002 to 2021 by Yulong Zhong, Baoming Tian, Hyunglok Kim, Xing Yuan, Xinyue Liu, Enda Zhu, Yunlong Wu, Lunche Wang, Lizhe Wang

“…Here we address this by introducing a quantitative metric, average daily fraction of precipitation transformed into terrestrial water storage, providing an important advancement into the dynamics of water storage by utilizing the enhanced terrestrial water storage statistical reconstruction method and water storage data from the Gravity Recovery and Climate Experiment satellites and their follow-on mission. …”
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Multi-Scale Geometric Feature Extraction and Global Transformer for Real-World Indoor Point Cloud Analysis by Yisheng Chen, Yu Xiao, Hui Wu, Chongcheng Chen, Ding Lin

“…The proposed method demonstrates competitive performance in real-world indoor scenarios, with a mIoU of 68.6% in semantic segmentation on S3DIS and OA of 86.4% in classification on ScanObjectNN.…”
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Remote sensing image Super-resolution reconstruction by fusing multi-scale receptive fields and hybrid transformer by Denghui Liu, Lin Zhong, Haiyang Wu, Songyang Li, Yida Li

“…Additionally, the model introduces a multi-stage Hybrid Transformer structure, which processes features at different resolutions progressively, from low resolution to high resolution, substantially enhancing reconstruction quality and detail recovery. …”
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ATM: Adaptive transformer model for reconstruction of remote sensing multi-temporal non-equispaced sequence imagery by Zhi-peng Qi, Zi-yi Zhao, Xing Jin

“…However, the observation sequence contain complex and diverse information, it is difficult for the conventional method to characterize this information. To address this issue, we perform an adaptive transformer model (ATM) for reconstruction of remote sensing multi-temporal non-equispaced sequence imagery. …”
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A comparative study of wavelet families for schizophrenia detection by E. Sathiya, T. D. Rao, T. Sunil Kumar

“…Our approach achieves the highest classification accuracy of 100% on a publicly available dataset, outperforming existing state-of-the-art methods.…”
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Adaptive Control Strategy for Power Flow Controller With Disturbance Mitigation Using Discrete Wavelet Transform in Renewable Energy Source Integrated Railway Systems by Hamed Jafari Kaleybar, Morris Brenna, Mariacristina Roscia

“…The proposed adaptive method is designed to operate effectively with various traction substation transformer configurations, including the main ones V/V and Scott transformers. …”
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