Enhanced Emotion Recognition Through Dynamic Restrained Adaptive Loss and Extended Multimodal Bottleneck Transformer by Dang-Khanh Nguyen, Eunchae Lim, Soo-Hyung Kim, Hyung-Jeong Yang, Seungwon Kim

“…Furthermore, this work introduces the extended multimodal bottleneck transformer, an efficient and effective mid-fusion method designed for problems involving more than two modalities to enhance the performance of emotion recognition systems. …”
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3DVT: Hyperspectral Image Classification Using 3D Dilated Convolution and Mean Transformer by Xinling Su, Jingbo Shao

“…Additionally, the proposed method holds promise for the classification of fiber laser spectra, where high precision and spectral analysis are crucial for distinguishing between different fiber laser characteristics. …”
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Medical Image Retrieval Based on Ensemble Learning using Convolutional Neural Networks and Vision Transformers by Ahmed Yahya, Dalya Khaled, Waleed Al-Azzawi, Tawfeeq Alghazali, H. Sabah Jabr, R. Madhat Abdulla, M. Kadhim Abbas Al-Maeeni, N. Hussin Alwan, S. Saad Najeeb, Kh. T. Falih

“…Our proposed model is based on combining Vision Transformers (ViTs) and Convolutional Neural Networks (CNNs) and learns to capture both the locality and also the globality of high-level feature maps. …”
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Evaluation of agriculture land transformations with socio-economic influences on wheat demand and supply for food sustainability by Danish Raza, Hong Shu, Muhsan Ehsan, Hong Fan, Kamal Abdelrahman, Hasnat Aslam, Abdul Quddoos, Rana Waqar Aslam, Majid Nazeer, Mohammed S. Fnais, Azeem Sardar

“…First, by incorporating more than three decades of satellite data (1990–2022) and different Landsat missions with machine learning algorithms, high-confidence classes were defined for different land features, including cropland. …”
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An Information Granulated Based SVM Approach for Anomaly Detection of Main Transformers in Nuclear Power Plants by Wenmin Yu, Ren Yu, Cheng Li

“…Using DGA data from the NPP data acquisition system, two experiments are designed to verify the trend tracing and prediction envelope ability of main transformers installed in NPPs with different operating ages of the proposed model. …”
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FTT: A Frequency-Aware Texture Matching Transformer for Digital Bathymetry Model Super-Resolution by Peikun Xiao, Jianping Wu, Yingjie Wang

“…Deep learning has shown significant advantages over traditional spatial interpolation methods in single image super-resolution (SISR). Recently, many studies have applied super-resolution (SR) methods to generate high-resolution (HR) digital bathymetry models (DBMs), but substantial differences between DBM and natural images have been ignored, which leads to serious distortions and inaccuracies. …”
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Diverse redox-mediated transformations to realize the para-quinoid, σ-bond, and ortho-diphenoquinoid forms by Takashi Harimoto, Moto Kikuchi, Takanori Suzuki, Yusuke Ishigaki

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Internal Energy Balancing Control of a Modular Multilevel Converter as Part of a Hybrid Transformer by Rui Wang, Maurice G. L. Roes, Henk Huisman, Cornelis G.E. Wijnands

“…The output voltages of the MMC have equal frequency and equal phase angles, but different amplitudes in this application. In this paper it is shown that these two features result in steady-state control errors and variable control loop gains when a conventional MMC internal energy balancing method is applied. …”
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Photodegradation of Diquat in water under UV irradiation: Identification of transformation products and elucidation of photodegradation pathway by Fangyuan Wang, Bo Tao

“…The initial concentration of Diquat and the pH value of the water environment significantly affected the half-life of photodegradation of Diquat, and the opposite was true for different types of water. The photodegradation transformation products (PTPs) formed by the photodegradation of Diquat in an aqueous solution under UV-Vis irradiation were separated and identified using ultra-high-performance liquid chromatography coupled with time-of-fight mass spectrometry (UPLC-QTOF-MS). …”
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Modeling and Simulation of Internal Incipient Faults in Electrical Transformers Using a Bond Graph Approach by Arthur Cleary-Balderas, Gilberto Gonzalez-Avalos, Gerardo Ayala-Jaimes, Aaron Padilla Garcia

“…The steady-state responses of the faulted transformer models using a bond graph approach are presented, leading to the proposal of a method for fault analysis in transformers with DC supply sources. …”
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Digital transformation and corporate ESG performance: Research based on a capability-motivation dual framework. by Cuicui Huang

“…This study systematically examines the impact mechanism and heterogeneous characteristics of digital transformation (DT) on corporate environmental, social, and governance (ESG) performance, using panel data from Chinese A-share listed companies from 2010-2022. …”
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Transforming Total‐Field Magnetic Anomalies Into Three Components Using Dual‐Layer Equivalent Sources by Duan Li, Qing Liang, Jinsong Du, Shida Sun, Yi Zhang, Chao Chen

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Two-Dimensional Coherent Polarization–Direction-of-Arrival Estimation Based on Sequence-Embedding Fusion Transformer by Zihan Wu, Jun Wang, Zhiquan Zhou

“…This method leverages the multi-head self-attention mechanism of the transformer to effectively capture the multi-dimensional features within the spatial-polarization domain of the covariance matrix data. …”
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A modelling technique to determine the high frequency transformer leakage inductance using the winding structure by Yasir S. Dira, Ahmad Q. Ramli, Ungku Anisa Ungku Amirulddin, Nadia M. L. Tan

“…Abstract The operation and efficiency of isolated DC-DC converters, critical components in solid-state transformers, are significantly impacted by leakage inductance in high-frequency transformers (HFTs). …”
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Transformation of water use in tianjing areas in residential houses following the installation of piped water systems by Yanhan Wu, Satoshi Boda, Shin-Ya Nishimura, Yingqing Fei, Wenhao Ji

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HDCTfusion: Hybrid Dual-Branch Network Based on CNN and Transformer for Infrared and Visible Image Fusion by Wenqing Wang, Lingzhou Li, Yifei Yang, Han Liu, Runyuan Guo

“…The effectiveness of the proposed method in this paper is verified on different experimental datasets, and it is better than most of the current advanced fusion algorithms.…”
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A deep learning approach to stress recognition through multimodal physiological signal image transformation by Shiqi Yang, Yuan Gao, Yao Zhu, Li Zhang, Qinlan Xie, Xuesong Lu, Fang Wang, Zhushanying Zhang

“…Physiological signal-based stress assessment offers greater accuracy and objectivity compared to traditional methods. To enhance stress level detection, we propose a novel approach using deep learning models that classify mental stress states (stress, baseline, amusement) based on multimodal physiological signals converted into RGB images through Gramian Summation Angular Field (GASF), Gramian Difference Angular Field (GADF), and Markov Transition Field (MTF) transformations. …”
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IMAGE TRANSFORMATION OF PETER THE FIRST IN HISTORICAL VIEWS OF RUSSIAN EMPERORS DURING XVIII - XIX CENTURY by Tat’yana Aidunova

“…The article studies image transformation of Peter I in historical views of Russian rulers during XVIII-XIX century. …”
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Chaotic billiards optimized hybrid transformer and XGBoost model for robust and sustainable time series forecasting by Reham H. Mohammed, Asmaa Mohamed El-saieed

“…These results were better than those from models like Linear Regression, SVR, LSTM, and even standalone Transformer and XGBoost. Overall, this hybrid method provides a reliable and efficient solution for wind speed forecasting in the context of sustainable energy planning.…”
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Greigite (Fe3S4) Formation in Artificial Sediments via Solid‐State Transformation of Lepidocrocite by Sophie C. Roud, Stuart A. Gilder, SoHyun Park

“…To overcome these limitations, we report a new method to selectively transform lepidocrocite to greigite via the intermediate phase mackinawite (FeS). …”
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