Addressing Sensor Data Heterogeneity and Sample Imbalance: A Transformer-Based Approach for Battery Degradation Prediction in Electric Vehicles by Bi Wu, Shi Qiu, Wenhe Liu

“…This study presents a novel approach based on Transformer architecture to specifically address these issues. …”
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Integrating Multiscale Spatial–Spectral Shuffling Convolution With 3-D Lightweight Transformer for Hyperspectral Image Classification by Qinggang Wu, Mengkun He, Qiqiang Chen, Le Sun, Chao Ma

“…Different from the slicing operation employed in classical transformers, the 3DLT directly extracts the inherent 3-D structural features from the HSI and mitigates quadratic complexity through a lightweight spatial–spectral pooling cross-attention mechanism. …”
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Data-Driven Dynamic Graph Convolution Transformer Network Model for EEG Emotion Recognition Under IoMT Environment by Xing Jin, Fa Zhu, Yu Shen, Gwanggil Jeon, David Camacho

“…To overcome these limitations, this paper proposes a new data-driven dynamic graph-embedded Transformer network (DGETN) that has emerged in different tasks of graph data mining for emotion analysis of EEG signals in the scene of IoMT. …”
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MT-SCnet: multi-scale token divided and spatial-channel fusion transformer network for microscopic hyperspectral image segmentation by Xueying Cao, Hongmin Gao, Haoyan Zhang, Shuyu Fei, Peipei Xu, Peipei Xu, Zhijian Wang

“…However, the fixed tokenization schemes and single-dimensional feature extraction and fusion in existing methods lead to insufficient global feature extraction in hyperspectral pathology images.MethodsBase on this, we propose a multi-scale token divided and spatial-channel fusion transformer network (MT-SCnet) for MHSIs segmentation. …”
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Comparison of Different Controller Architectures for Autonomous Driving and Recommendations for Robust and Safe Implementations by M. A. Shadab Siddiqui, M. S. Rabbi, Md Jobayer Islam, Radif Uddin Ahmed

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Study on Descriptors of Acoustic Emission Signals Generated by Partial Discharges under Laboratory Conditions and in On-Site Electrical Power Transformer by Michał KUNICKI, Andrzej CICHOŃ, Sebastian BORUCKI

“…This paper presents comparative analysis of AE signals measurement results archived under laboratory conditions as well as on-site actual AE signals generated by inside PDs in electrical power transformer during its normal service. Three different PD model sources are applied for laboratory research: point to point, multipoint to plate and surface type. …”
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Some growth factors in neoplastic tissues of brain tumors of different histological structure by O. I. Kit, E. M. Frantsiyants, E. E. Rostorguev, I. V. Balyazin-Parfenov, N. D. Cheryarina, L. S. Kozlova, Yu. A. Pogorelova

“…The level of growth factor was detected in the samples of tumor tissue and regions immediately adjacent to the tumor foci (peritumoral area) by the method of immunoassay and using standard test systems. …”
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Transformation of the Personnel Policy of Russian Universities Participating in Project 5-100: The Case of National Research Nuclear University Mephi by E. A. Drugova, I. B. Pleshkevich, T. V. Klimova

“…These factors had deeply influenced the transformation of HRM practices at universities. Russian studies in this field are shown as fragmented, focusing on narrow aspects, and not forming a holistic picture of the HRM system transformation in Russian universities. …”
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Associations between physical fitness and different aspects of screen time in children and adolescents by Qiang Dong, Hengjia Liu, Qiang Fu

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How Do Different Types of Environmental Regulations Affect Green Innovation Efficiency? by Hui Li, Chuandang Zhao, Xiaoying Tang, Jiawei Cheng, Guanyang Lu, Yang Gu, Zhiyue Zhang, Yang Liu

“…However, due to the defects of previous methods for measuring GIE, existing studies may have deviations when analysing the effect of environmental regulations on GIE. …”
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Experimental modeling of chemical burning of the esophagus using different concentrations of alkali solution by I. Yu. Karpova, P. V. Peretyagin, N. Yu. Orlinskaya, T. E. Potemina, V. V. Parshikov

“…The purpose and objectives of the study: is to create an experimental model of a chemical burn of the esophagus with alkali to study the pathological transformation of the tissues of the upper gastrointestinal tract.Materials and methods. …”
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Improved Agrobacterium-mediated transformation protocol for VgDGAT1a gene based on shoot tip culture of cotton by WANG Anke, HE Qiuling, PAN Jingjing, SUN Yingchao, ZHU Shuijin, CHEN Jinhong

“…In addition, reduplicated selections improved accuracy.In conclusion, this study describes an optimized transformation protocol for shoot tip of ‘Zhongmiansuo 49’with an A. tumefaciens strain EHA105 harboring DGAT1 gene, and proves that it is an efficient and economical method to obtain transgenic plants based on the results of different and important parameters influencing the transformation efficiency.…”
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Local pattern aware 3D video swin transformer with masked autoencoding for realtime augmented reality gesture interaction by Suli Wang

“…Abstract This study proposes a real-time augmented reality gesture interaction algorithm based on the Swin Transformer and a masked self-encoder. This algorithm solves the challenges of the traditional Transformer model regarding spatio-temporal feature extraction and real-time performance. …”
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Local-Global Feature Extraction Network With Dynamic 3-D Convolution and Residual Attention Transformer for Hyperspectral Image Classification by Qiqiang Chen, Zhengyang Li, Junru Yin, Wei Huang, Tianming Zhan

“…Currently, convolutional neural network (CNN) and transformer-based hyperspectral image (HSI) classification methods have attracted significant attention owing to their effective feature representation capabilities. …”
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On the study of solitary wave dynamics and interaction phenomena in the ultrasound imaging modelled by the fractional nonlinear system by Usman Younas, Jan Muhammad, Qasim Ali, Mirwais Sediqmal, Krzysztof Kedzia, Ahmed Z. Jan

“…Moreover, breather, lump and other waves are extracted by the assistance of logarithmic transformation and different test functions. The used methodologies are extremely effective and possess substantial computing capacity to effectively address the different solutions with a high level of accuracy in these systems. …”
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Transforming traffic accident investigations: a virtual-real-fusion framework for intelligent 3D traffic accident reconstruction by Yanzhan Chen, Qian Zhang, Fan Yu

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Incremental and transformational climate change adaptation factors in agriculture worldwide: A comparative analysis using natural language processing. by Sofia Gil-Clavel, Thorid Wagenblast, Tatiana Filatova

“…We use the derived data as input for generalized linear models to analyze whether reported factors behind farmers' decisions differ by type of adaptation (incremental vs. transformational) and across different global regions. …”
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GCT-GF: A generative CNN-transformer for multi-modal multi-temporal gap-filling of surface water probability by Yanjiao Song, Linyi Li, Yun Chen, Junjie Li, Zhe Wang, Zhen Zhang, Xi Wang, Wen Zhang, Lingkui Meng

“…However, discontinuous pixel values inherent to conventional water maps hinder the application of deep learning methods, which are effective and popular for relevant studies. …”
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Global Dynamics of a Rational Difference Equation and Its Solutions to Several Conjectures by Shaoxia Jin, Xianyi Li, Bo Sun

“…Ladas and colleagues. The methods involve transforming the higher-order equation into a first-order difference equation and analyzing the properties of the resulting function, particularly its Schwarzian derivative. …”
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The Transformative Power of AI Writing Technologies: Enhancing EFL Writing Instruction through the Integrative Use of Writerly and Google Docs by Bantalem Derseh Wale, Yirgalem Fentie Kassahun

“…AI technologies transform language instruction by offering feedback, support, and guidance to students, ultimately leading to a more effective and efficient learning experience. …”
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