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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Efficient Pruning of Detection Transformer in Remote Sensing Using Ant Colony Evolutionary Pruning by Hailin Su, Haijiang Sun, Yongxian Zhao

“…This study mainly addresses the issues of an excessive model parameter count and computational complexity in Detection Transformer (DETR) for remote sensing object detection and similar neural networks. …”
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Categorization of Microscopic Wood Images with Transfer Learning Approach on Pretrained Vision Transformer Models by Kenan Kılıç

“…Four Vision Transformer (ViT)-based models were optimized to classify microscopic wood images. …”
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Nonlinear relationship between digital and intelligent transformation and energy conservation and emission reduction in China by Qiqi Sun, Siyan Liu, Lili Feng, Gang Lu

“…Further research has found that the impact of different regions and digital transformation indicators on energy consumption and carbon emissions is heterogeneous. …”
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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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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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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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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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A lung nodule segmentation model based on the transformer with multiple thresholds and coordinate attention by Tianjiao Hu, Yihua Lan, Yingqi Zhang, Jiashu Xu, Shuai Li, Chih-Cheng Hung

“…The proposed method was verified on the LIDC-IDRI and LNDb datasets. …”
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A robust in planta Agrobacterium‐mediated transformation in red chili (Capsicum annuum L.) by Anti Damayanti Hamdani, Syarul Nugroho, Rizkita Rachmi Esyanti, Ahmad Faizal, Sony Suhandono

“…Therefore, this study aimed to develop an Agrobacterium‐mediated in planta transformation method applicable to various red chili cultivars. …”
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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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Integrated Control Architecture of Station EM Equipment Based on Metro Networked Management Transformation by GE Shiping, HUANG Jianlin, CHEN Gang

“…An in-depth analysis of the problems existing in the control architecture of traditional station EM equipment, such as complex architecture, poor control functions, single function, poor linkage of subsystems, as well as difficulties in upgrading and transformation, corresponding breakthrough methods are proposed. …”
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Impact of anthropogenic landscape transformation on soil fertility and diversity of carabid beetles and butterflies in Poland by Katarzyna Szyszko-Podgórska, Joanna Ukalska, Krzysztof Ukalski, Marek Kondras

“…Anthropogenic landscape transformation, including urbanization and intensive agriculture, significantly affects the structure and functioning of ecosystems. …”
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Dual-stream interactive mechanism with multi-modal hierarchical aggregation transformer for gait recognition by Jinghang Liu, Xiangyuan Xu, Yan Qiu, Chunzhi Wang

“…Comprehensive evaluations demonstrate that GaitSMAT achieves state-of-the-art (SOTA) performance on multiple public datasets (GREW, Gait3D, and SUSTech1K), exhibiting significant improvements over existing approaches. The method shows particular efficacy in complex environments, demonstrating superior robustness and accuracy. …”
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Transformer optimization with meta learning on pathology images for breast cancer lymph node micrometastasis by Jing Huang, Jingtao Wang, Junhai Shi, Hengli Ni, Shan Xu, Ping Wu, Yuexiang Ren, Lijuan Bian, Chenhan Su, Yuxuan Xu, Xinyu He, Xinjian Chen, Jianming Li

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GeoViT: Mixed-Scale Transformer for Perspective Correction in Print-Cam Image Watermarking by Said Boujerfaoui, Anass Mancour-Billah, Hassan Douzi, Rachid Harba

“…In this study, we propose GeoViT, a Transformer-based framework that enhances watermark robustness against print-cam attacks. …”
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Herbify: an ensemble deep learning framework integrating convolutional neural networks and vision transformers for precise herb identification by Farhan Sheth, Ishika Chatter, Manvendra Jasra, Gireesh Kumar, Richa Sharma

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Automatic Road Extraction from Historical Maps Using Transformer-Based SegFormers by Elif Sertel, Can Michael Hucko, Mustafa Erdem Kabadayı

“…Historical maps are valuable sources of geospatial data for various geography-related applications, providing insightful information about historical land use, transportation infrastructure, and settlements. While transformer-based segmentation methods have been widely applied to image segmentation tasks, they have mostly focused on satellite images. …”
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Best Practices in Organizing Digital Transformation: Qualitative Case Study in Dutch Hospital Care by Tanja Schiffelers, Kaya Kapteijns, Laura Hochstenbach, Bas Kietselaer, Esther Talboom-Kamp, Marieke Spreeuwenberg

“…ResultsAlthough hospitals organize their digital transformation in different ways and with different teams or departments, they encounter similar facilitators and barriers. …”
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Automatic Detection and Calculation of Mining Subsidence in Large-Scale Interferograms With Transformer-CNN Model by Hongdong Fan, Jialin Xin, Tao Lin, Jun Wang

“…Therefore, this study develops a wide-area subsidence calculation model integrating convolutional neural network and transformer. Initially, a training sample set for mining subsidence interferometric synthetic aperture radar was constructed by leveraging the probability integral method, Generic Atmospheric Correction Online Service, coherence maps, and zero-mean Gaussian noise. …”
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