Plot-scale peanut yield estimation using a phenotyping robot and transformer-based image analysis by Zhengkun Li, Rui Xu, Nino Brown, Barry L. Tillman, Changying Li

“…In a case study of a total of 68 plots across 19 genotypes in a peanut breeding yield trial, the result presented a correlation (R2=0.47) between the yield and predicted pod count, better than the structure-from-motion (SfM) method. The yield ranking among different genotypes using image prediction achieved an average consistency of 84.8% with manual measurement. …”
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Motor Imagery EEG Classification Based on Multi-Domain Feature Rotation and Stacking Ensemble by Xianglong Zhu, Ming Meng, Zewen Yan, Zhizeng Luo

“…Conclusions: Experimental results show that the method proposed in this paper outperforms several existing MI classification methods, such as the Common Time-Frequency-Spatial Patterns and the Selective Extract of the Multi-View Time-Frequency Decomposed Spatial, in terms of classification accuracy and robustness.…”
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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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THE INFLUENCE OF PROPIONATE ON THE SPECTRUM OF LONG-CHAIN FATTY ACIDS IN CERVICAL CELLS DURING DIS- AND NEOPLASTIC TRANSFORMATION by E. V. Kayukova, T. E. Belokrinitskaya, P. P. Tereshkov

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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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Towards a more secure reconstruction-based anomaly detection model for power transformer differential protection by Martiya Zare Jahromi, Mohsen Khalaf, Mohsen Khalaf, Marthe Kassouf, Deepa Kundur

“…We then review and compare the effect of adversarial training on the performance of four different model architectures. To demonstrate the efficacy of our proposed approach for improved security and performance in PTDP scenarios, the IEEE PSRC D6 benchmark test system is tested in an OPAL-RT environment.ResultsSimulation results show the effectiveness of the proposed method for improved detection of cyberattacks.…”
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Enhancing PEEK bond strength: the impact of chemical and mechanical surface modifications on surface characteristics and phase transformation by Emel Arslan, Ipek Caglar

“…Abstract Objectives This study investigated the effects of different surface modifications on surface roughness, phase transformation, and bond strength of polyetheretherketone (PEEK) to composite resin. …”
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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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LCC-Net: Swin transformer-CNN hybrid for enhanced land cover classification in natural disaster monitoring by P. Shailaja, Pala Mahesh Kumar, Nalla Nikhitha, Kunta Neeraj Kumar Reddy, Enthala Mukesh Reddy, Goli Ganesh Reddy, Vadde Indu

“…Statistics reveal that accurate disaster classification from satellite data can enhance response times by up to 30 % and improve prediction accuracy by approximately 25 %. However, existing methods need more accuracy due to varying image resolutions and difficulty distinguishing between similar land cover types under different disaster conditions. …”
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Charge distribution functions for characterization of complex systems by V. M. Gun’ko

“…A set of characteristics calculated within the scope of quantum chemistry methods may be assigned to local ones changing from atom to atom in complex systems. …”
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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 global Transformer employs a self-attention mechanism to capture long-range dependencies across the entire point cloud. …”
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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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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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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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STYLISTIC MEANS OF IMPLEMENTING THE IDEA OF THE WORLD’S IRIDESCENCE IN PH.K. DICK’S “UBIK” IN THE CONTEXT OF TRANSLATION TRANSFORMATIONS by Svitlana F. Aleksenko, Larysa I. Taranenko

“…Among the typical translation methods, instrumental in the rel- evant textual sequences in “Ubik”, a share of lexical and semantic transformations equals 60.2% of the re- searched sets of translation counterparts, with modulation and specification being the dominant ones and logical synonymy, calquing and lexical compensation trailing behind. …”
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New Permutation-Free Quantum Circuits for Implementing 3- and 4-Qubit Unitary Operations by Artyom M. Grigoryan

“…The article presents the quantum signal-induced heap transform (QsiHT) method of the QR-decomposition of multi-qubit operations. …”
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DepthFormer: Depth‐Enhanced Transformer Network for Semantic Segmentation of the Martian Surface From Rover Images by Yuan Ma, Zhaojin Li, Bo Wu, Ran Duan

“…Advanced deep learning techniques, particularly Transformers, can enhance semantic segmentation and image interpretation, deepening our understanding of Martian surface features. …”
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Study on Vibration Characteristics of Three-Dimensional Coil Core Transformer Under Interturn Short Circuit Fault by Xianghui Chang, Guoxin Zhao, Dezhi Chen, Ziyuan Xin, Zhonghuan Su

“…Secondly, the theory and calculation method of the short-circuit current, leakage magnetic field and axial spring mass model of the transformer were analyzed. …”
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