TRANSFORMATION OF VALUES OF THE HIGH TECHNOLOGY PROJECTS FROM A VUCA TO A BANI ENVIRONMENT MODEL by Sergiy Bushuyev, Kateryna Piliuhina, Elams Chetin

“…Tasks to be solved: to analyze the transformation from the VUCA model to the BANI model, to present values and their differentiation as the basis for survival in the new world order, to develop a method for assessing project risks in the BANI environment. …”
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Investigation of a transformer-based hybrid artificial neural networks for climate data prediction and analysis by Shangke Liu, Ke Liu, Zheng Wang, Yuanyuan Liu, Bin Bai, Rui Zhao

“…Lastly, LSTM is adept at handling long-term dependencies, ensuring the model can remember and utilize information over extended time spans.Results and DiscussionExperiments conducted on temperature data from Guangdong Province in China validate the performance of the proposed model. Compared to four different climate prediction decomposition methods, the proposed hybrid model with the Transformer method performs the best. …”
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Fault diagnosis in electric motors using multi-mode time series and ensemble transformers network by Bo Xu, Huipeng Li, Ruchun Ding, Fengxing Zhou

“…During network training, the chaotic WOA optimizes the ensemble Transformer network’s hyper-parameters. Finally, the proposed method is trained and tested on a motor measurement multi-modal dataset. …”
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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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Two-Dimensional Coherent Polarization–Direction-of-Arrival Estimation Based on Sequence-Embedding Fusion Transformer by Zihan Wu, Jun Wang, Zhiquan Zhou

“…Addressing the issue of inadequate convergence and suboptimal accuracy in classical data-driven algorithms for coherent polarization–direction-of-arrival (DOA) estimation, a novel high-precision two-dimensional coherent polarization–DOA estimation method utilizing a sequence-embedding fusion (SEF) transformer is proposed for the first time. …”
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Detection and Classification of Abnormal Power Load Data by Combining One-Hot Encoding and GAN–Transformer by Ting Yang, Hongyi Yu, Danhong Lu, Shengkui Bai, Yan Li, Wenyao Fan, Ketian Liu

“…Furthermore, it outperforms traditional methods such as LSTM-NDT, Transformer, OmniAnomaly and MAD-GAN in Overall Accuracy, Average Accuracy, and Kappa coefficient, thereby validating the effectiveness and superiority of the proposed anomaly detection and classification method.…”
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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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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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Synthesis and mode transformation analysis of double loop 7R mechanism with motion and locking modes by Wei Liu, Nan Zhang, Binbin Meng

“…The proposed method also has certain application value in designing, analyzing, and optimizing multi-mode mechanisms that meet the transformation requirements of motion and locking production operations.…”
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Generating Pseudo-Realistic Infrared Observations for Observing System Simulation Experiments by Isaac Moradi, Will McCarty, Nikki Prive

“…This paper presents a method for generating pseudo-realistic infrared observations for proposed instruments using high-resolution measurements from the Infrared Atmospheric Sounding Interferometer (IASI) as a reference. …”
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EHR-protect: A steganographic framework based on data-transformation to protect electronic health records by Adifa Widyadhani Chanda D'Layla, Ntivuguruzwa Jean De La Croix, Tohari Ahmad, Fengling Han

“…EHR-Protect uses logarithmic pixel transformation and adaptive techniques such as difference expansion and EHR magnitude reduction to minimize distortions in carrier medical images. …”
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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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MSTNet: a multi-stage progressive network with local–global transformer fusion for image restoration by Ruyu Liu, Lin Wang, Jie He, Jiajia Wang, Jianhua Zhang, Xiufeng Liu, Chaochao Wang, Haoyu Zhang, Sheng Dai

“…In the medical field, image restoration techniques can significantly improve the quality of endoscopic images, helping doctors make more accurate diagnoses and providing higher-quality data support for computer vision-assisted detection. Existing methods for image restoration mainly use convolutional neural networks (CNNs) or Transformer models, which have different advantages and limitations in capturing spatial and channel information of the image. …”
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ViTAU: Facial paralysis recognition and analysis based on vision transformer and facial action units by Jia GAO, Wenhao CAI, Junli ZHAO, Fuqing DUAN

“…Current research primarily focuses on broad facial changes and often neglects finer facial details, which leads to insufficient analysis of how different areas affect recognition results. This study proposes an innovative method that combines the vision transformer (ViT) model with an action unit (AU) facial region detection network to automatically recognize and analyze facial paralysis. …”
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A case study on entropy-aware block-based linear transforms for lossless image compression by Borut Žalik, David Podgorelec, Ivana Kolingerová, Damjan Strnad, Štefan Kohek

“…Many popular lossless compression methods incorporate predictions and various types of pixel transformations, in order to reduce the information entropy of an image. …”
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A Transformer-Based Approach for Efficient Geometric Feature Extraction from Vector Shape Data by Longfei Cui, Xinyu Niu, Haizhong Qian, Xiao Wang, Junkui Xu

“…The extraction of shape features from vector elements is essential in cartography and geographic information science, supporting a range of intelligent processing tasks. Traditional methods rely on different machine learning algorithms tailored to specific types of line and polygon elements, limiting their general applicability. …”
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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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CADTrans: A code tree-guided CAD generative transformer model with regularized discrete codebooks by Xufei Guo, Xiao Dong, Juan Cao, Zhonggui Chen

“…Secondly, these codebooks are used to normalize a CAD construction sequence into a structured code tree representation which is then used to train a standard transformer network to reconstruct the code tree. Finally, the code tree is used as global information to guide the sketch-and-extrude method to recover the corresponding geometric information, thereby reconstructing the complete CAD model. …”
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Preparation and performance of hydroxyapatite-graphene oxide composite microspheres by YUAN Qiuhua, SHI Xin, WU Wenshan, DAI Xiaoyi, ZHONG Junxi, YANG Yuan, JIAN Youliang, LI Ruilong, WANG Tao

“…Firstly, spherical calcium carbonate-graphene oxide (CaCO3-GO) composites were synthesized by hard template method. Then, spherical hollow HA-GO composite microspheres were successfully prepared by a method of hydrothermal-assisted ion exchange. …”
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