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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Automated ECG Arrhythmia Classification Using Feature Images with Common Matrix Approach-Based Classifier by Ali Kirkbas, Aydin Kizilkaya

“…To verify the efficacy of the proposed method, various experiments are conducted with the MIT-BIH, Chapman, and PTB-XL databases. …”
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Human Rights Education: A Historical, Methodological and Critical Analysis by Muharrem Kılıç

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Remaining Useful Life Prediction for Rolling Bearings Based on TCN–Transformer Networks Using Vibration Signals by Xiaochao Jin, Yaping Ji, Shiteng Li, Kailang Lv, Jianzheng Xu, Haonan Jiang, Shengnan Fu

“…In addition, a new RUL prediction method, TCN–Transformer, is developed which can efficiently learn and integrate local and global features of vibration signals, addressing the long time series prediction problem in RUL prediction. …”
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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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Steganography in Audio Using Wavelet and DES by Baghdad Science Journal

“…In this paper, method of steganography in Audio is introduced for hiding secret data in audio media file (WAV). …”
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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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Full Information Numerical Simulation of Two-Dimensional Steady Ground Temperature Field by Fan Jiang, Shikun Dai, Ying Zhang, Hongjun Tian

“…The background field is a uniform layered medium, and the anomalous field is converted into one-dimensional ordinary differential equations under different wavenumbers via one-dimensional full information Fourier transform. …”
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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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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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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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Housing Prices in a Market Under Years of Constant Transformation: A County-Based Analysis of Istanbul by Meltem Ucal, Uğur Kaplan

“…Findings: The relationship between socioeconomic development levels and housing prices varies for counties under different urban transformation processes. …”
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Equivalent Modeling of Temperature Field for Amorphous Alloy 3D Wound Core Transformer for New Energy by Jianwei Han, Xiaolin Hou, Xinglong Yao, Yunfei Yan, Zonghan Dai, Xiaohui Wang, Peng Zhao, Pengzhe Zhuang, Zhanyang Yu

“…Finally, a 50 kVA amorphous alloy winding-core transformer is tested on different prototypes to verify the effectiveness of the proposed method.…”
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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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DepthFormer: Depth‐Enhanced Transformer Network for Semantic Segmentation of the Martian Surface From Rover Images by Yuan Ma, Zhaojin Li, Bo Wu, Ran Duan

“…Experimental evaluations and comparisons using synthesized and actual Mars image data sets reveal that the DepthFormer achieves an average accuracy of 98%, superior to that of conventional segmentation methods. The proposed method is the first deep‐learning model incorporating depth information for accurate semantic segmentation of the Martian surface, which is of significance for future Mars exploration missions and scientific studies.…”
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Identifying transformative decisions: A dual approach to adaptation pathways design using forward-exploration and backcasting by Noor ten Harmsen van der Beek, Renske de Winter, Esther van Baaren, Ferdinand Diermanse, Arno Nolte, Marjolijn Haasnoot

“…Following the traditional DAPP approach, we explore alternative sequences of adaptation measures to continue to achieve objectives under changing conditions. New to the method is the backcasting of critical implementation paths from different envisioned future states, including changes in land use. …”
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Lithium-Ion Battery State of Health Estimation Based on Feature Reconstruction and Transformer-GRU Parallel Architecture by Bing Chen, Yongjun Zhang, Jinsong Wu, Hongyuan Yuan, Fang Guo

“…This study proposes a method for estimating the state of health of lithium-ion batteries based on feature reconstruction and Transformer-GRU parallel architecture to solve the problems of noisy feature data and the poor applicability of a single model to different types and operating conditions of batteries. …”
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Spatial–Spectral Hierarchical Multiscale Transformer-Based Masked Autoencoder for Hyperspectral Image Classification by Haipeng Liu, Zhen Ye, Wen-Shuai Hu, Zhan Cao, Wei Li

“…Due to the excellent feature extraction capabilities, deep learning has become the mainstream method for hyperspectral image (HSI) classification. …”
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Time-Frequency Transformation Technique with Various Mother Wavelets for DC Fault Analysis in HVDC Transmission Systems by Hasnain Raza chandio, Aslam Pervez Memon

“…Heavy current is generated by DC faults in HVDC (T/L), hence it is necessary to treat DC line faults in short, medium, and long HVDC (T/L) systems with different fault resistance. It is crucial to research fault detection methods based on time-frequency analysis by choosing appropriate algorithms using various (MW) methodologies for short, medium, and long HVDC transmissions at various fault resistances in order to protect the HVDC system. …”
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A Novel Multi-Task and Ensembled Optimized Parallel Convolutional Autoencoder and Transformer for Speech Emotion Recognition by Zahra Sharifzadeh Jafari, Sanaz Seyedin

“…We have evaluated our proposed method on the RAVDESS SER dataset in different terms of accuracy, precision, recall, and f1-score. …”
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