A Transformer-LSTM-SVR hybrid model for AI-driven emotional optimization in NEV embedded interior systems by Zongming Liu, Xuhui Chen, Xinan Liang, Zhicheng Sun, Fengqi Yang, Wenwen Ou, Linwei Li, Xiayan Qin

“…Furthermore, interpretability analysis reveals key design feature differences among user groups. The proposed method combines a Transformer module, which captures higher-order interactions among multidimensional design parameters (e.g., sentiment evaluation coefficients and task completion time), and a Long Short-Term Memory (LSTM) network, configured to enhance time-series feature capture through adjustments to hidden unit count and sequence length. …”
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High-Impedance Fault Detection in DC Microgrid Lines Using Open-Set Recognition by Ivan Grcić, Hrvoje Pandžić

“…Various methods have been proposed to exploit fault response waveforms for detecting high-impedance faults, including those based on deep discriminative intelligent classification. …”
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Transformation of nutrients and heavy metals during vermicomposting of the invasive green weed Salvinia natans using Eisenia fetida by W. Roshan Singh, Ajay S. Kalamdhad

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Analytical Solutions for Steady-State Multiwell Aquifer Tests in Rectangular Aquifers by Using Double Fourier Transform: A Case Study in the Ordos Plateau, China by Jun-Zhi Wang, Xu-Sheng Wang, Qing-Bo Li, Wei-Feng Wan

“…In this paper, we derive series analytical solutions of steady-state groundwater flow in a rectangular-shaped aquifer with pumping/injection wells for both confined and unconfined conditions. Double Fourier Transform (DFT) technique is applied to deal with different combinations of impermeable and specified head boundaries on sides. …”
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Determination of Salivary CD44 as a Noninvasive Diagnostic Biomarker to Predict Malignant Transformation of Oral Submucous Fibrosis by Rajalakshmi Rakshanaa, Nalini Aswath, Vijayalakshmi Ramshankar, Soundarya Ravindran, K. Mehanathan

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Accelerated sub-image search for variable-size patches identification based on virtual time series transformation and segmentation by Mogens Plessen

“…Proposed method is neural network-free and does not use any image pre-processing.…”
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Migration and Transformation of Heavy Metals During the CO₂-Assistant Thermal Treatment of Oily Sludge by Jiantao Li, Fawei Lin, Xuan Guo, Chujun Luan, Hongdi Yu, Rundong Li, Beibei Yan, Guanyi Chen

“…Above all, this work revealed the migration and transformation of HMs in OS varied with the thermochemical methods and possessed an important significance for the immobilization and stabilization of HMs.…”
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A Comparative Study of Advanced Oxidation Processes for the Removal of the Antibiotic Sulfadoxine from Water—Transformation Products and Toxicity by Panagiotis A. Bizirtsakis, Kyriaki Anagnostopoulou, Vasilis C. Sarasidis, Panagiota Petsi, Alexandra Moschona, Konstantinos V. Plakas, Dimitra A. Lambropoulou

“…Advanced Oxidation Processes (AOPs) offer promising methods to degrade such pollutants in water, though they may generate more toxic by-products. …”
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Local Auxiliary Spatial–Spectral Decoupling Transformer Network for Cross-Scene Hyperspectral Image Classification by Qiusheng Chen, Zhuoqun Fang, Zhaokui Li, Qian Du, Shizhuo Deng, Tong Jia, Dongyue Chen

“…However, most of these methods leverage convolutional neural networks to capture local features, overlooking the comparable spatial global (SaG) and spectral global (SeG) information shared by both the source and target domains. …”
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Vision Transformer-Based Unhealthy Tree Crown Detection in Mixed Northeastern US Forests and Evaluation of Annotation Uncertainty by Durga Joshi, Chandi Witharana

“…Forest health monitoring at scale requires high-spatial-resolution remote sensing images coupled with deep learning image analysis methods. However, high-quality large-scale datasets are costly to acquire. …”
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Realizing Decent Work in a "Sandwich" Position: Assessing VET Trainers' Working Conditions in Times of Multiple Transformations by Manuel Nicklich, Marco Blank, Sabine Pfeiffer

“…Although the VET trainers are accustomed to mastering different requirements and interests, in transformative times new challenges arise and intensify the already heavy burden on VET personnel. …”
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Category-Based Sentiment Analysis of Sindhi News Headlines Using Machine Learning, Deep Learning, and Transformer Models by Safdar Ali Soomro, Siti Sophiayati Yuhaniz, Mazhar Ali Dootio, Ghulam Mujtaba, Jawaid Ahmed Siddiqui

“…To evaluate the effectiveness of different machine learning (ML), deep learning (DL), and transformer-based approaches, we conduct a comparative analysis of various models on SA and category classification tasks. …”
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Classification of Skin Lesion With Features Extraction Using Quantum Chebyshev Polynomials and Autoencoder From Wavelet-Transformed Images by Farhatullah, Xin Chen, Deze Zeng, Jiafeng Xu, Rab Nawaz, Rahmat Ullah

“…Leveraging the power of Deep Learning, the proposed model incorporates several pre-processing techniques such as wavelet transformations, pooling methods, and normalization to enhance image clarity and remove extraneous artifacts. …”
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Next generation sequencing reveals the mutation landscape of Chinese MDS patients and the association between mutations and AML transformations by Yu Liu, Huanchen Cheng, Mei Cheng, Meng Sun, Jun Ma, Tiejun Gong

“…Our study aimed to investigate the mutation landscape of Chinese MDS patients and identify the mutated genes which are closely implicated in the transformation of MDS to AML.Methods In total, 412 sequencing data collected from 313 patients were used for analysis. …”
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Semi-in-situ cutting force measurement of a jigsaw by Sándor Apáti, György Hegedűs, Sándor Hajdu

“…A measurement rig was designed to securely mount the saw, the load cell, and the inductive sensors needed for speed measurements, making it possible to measure cutting forces accurately under different working conditions. The method uses Fast Fourier Transform (FFT) analysis to determine the motor speeds, which helps calculate dynamic cutting parameters correctly. …”
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The Possibility of Including “Inverted” Educational Resources in the Professional Training of Future Teachers of Mathematics and Computer Science by P. S. Lomasko, A. L. Simonova, A. M. Lisman

“…The purpose of the paper is to describe the possibilities of including tasks for the design, development, use and experimental evaluation of “inverted” educational resources in the professional training of future teachers of mathematics and computer science for the development of their subject-methodical readiness. The formation and development of subject-methodical readiness is the main goal of professional training of future lecturers at a pedagogical university. …”
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From deformation twinning to α'' martensitic transformation in deforming Ti–12Mo alloy with increasing grain size by Y. Wu, L.Y. Chen, Z. Liu, P. Chen, C.Y. Wang, B. Tang, H.C. Kou, J.S. Li

“…Detailed crystallographic analysis reveals that this transition is due to the variation in the formation sequence of α'' martensites in the transformation path. In addition, α'' martensites are evidenced to be a more effective factor inducing excellent strain hardening compared to deformation twins, which is attributed to their dense dispersion in β matrix, high volume fraction, diverse crystallographic variants, and shear modulus different from β phase. …”
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Leveraging two-dimensional pre-trained vision transformers for three-dimensional model generation via masked autoencoders by Muhammad Sajid, Kaleem Razzaq Malik, Ateeq Ur Rehman, Tauqeer Safdar Malik, Masoud Alajmi, Ali Haider Khan, Amir Haider, Seada Hussen

“…In vision, attention is used in conjunction with convolutional networks or to replace individual convolutional network elements while preserving the overall network design. Differences between the two domains, such as significant variations in the scale of visual things and the higher granularity of pixels in images compared to words in the text, make it difficult to transfer Transformer from language to vision. …”
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Influence of gold and blue heat treatments on mechanical properties and phase transformation behavior of flat-designed rotary instruments by Anne Rafaella Tenório Vieira, Guilherme Ferreira da Silva, Pablo Andrés Amoroso-Silva, Rodrigo Ricci Vivan, Thaine Oliveira Lima, Maria Carolina Guiotti de Oliveira, Marco Antonio Hungaro Duarte, Murilo Priori Alcalde

“…DSC analysis demonstrated that the gold heat treatment had a higher Af temperature (42.8 °C) compared to the blue treatment (32.2 °C). Conclusion: The different heat treatments impacted in phase transformation temperatures and on the mechanical properties of the instruments. …”
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A comprehensive review of diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) techniques in protonic ceramic cells (PCCs): Current status and future perspective by Zixian Wang, Fan Liu, Yuqing Meng, Wenjuan Bian, Haiyan Zhao, Chuancheng Duan, Michael T. Benson, Meng Li, Bin Liu, Dong Ding

“…As a fast and cost-effective method for physicochemical fingerprinting, diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) has proven to be a surface-sensitive analytical tool for structural and functional studies. …”
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