Electrical impedance tomography-based temporal signals correlate with quantitative computed tomography-based spatial variables in asthma subjects: a pilot study by Jinyoung Jeong, Yuna Kim, Seung Eun Lee, Hye Ju Yeo, Sungchul Huh, Sanghun Choi

“…The EIT-based impedance was transformed using fast Fourier transform (FFT) to separate perfusion and respiration components including high and low frequencies.ResultsHigh-frequency EIT values in the upper lungs were associated with a decline of lung function in pre-bronchodilator. …”
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Image segmentation method of plastic-film corn canopy by ZHANG Wanhong, LIU Wenzhao

“…The proposed method was comprised of three main steps. First, color images yielding red (R), green (G), and blue (B) subimages were mathematically transformed to hue (H), saturation (S), and intensity (I) ones. …”
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Introduction to deep learning methods for multi‐species predictions by Yuqing Hu, Sara Si‐Moussi, Wilfried Thuiller

“…Specifically, we introduced four distinct deep learning models that use site × species community data but differ in their internal structure or on the input environmental data structure: (1) a multi‐layer perceptron (MLP) model for tabular data (e.g. in‐situ/raster climate or soil data), (2) a convolutional neural network (CNN) and (3) a vision transformer (ViT) models tailored for image data (e.g. aerial ortho‐photographs, satellite imagery), and a multimodal model that integrates both tabular and image data. …”
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Increasing measurement accuracy: Scaling effect on academic resilience instrument using Method of Successive Interval (MSI) and Method of Summated Rating Scale (MSRS) by Beta Wulan Febriana, Farida Agus Setiawati

“…The research results showed that there was a significant difference in the results of the reliability and validity of the constructs as well as the parameters in the confirmatory factor analysis of the ARS instrument before and after transformation with the method of successive intervals and summated rating scale. …”
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Physicochemical Properties, Polyphenol and Mineral Composition of Different Triticale Varieties Cultivated in the Republic of Moldova by Georgiana Gabriela Codină, Florin Ursachi, Adriana Dabija, Sergiu Paiu, Iurie Rumeus, Svetlana Leatamborg, Galina Lupascu, Silviu-Gabriel Stroe, Aliona Ghendov-Mosanu

“…Also, Fourier transform infrared spectroscopy (FT-IR) was used to evaluate the quality parameters of triticale grains. …”
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Estimation of seasonal changes in the frequency characteristics of wind speed and direction in coastal Dagestan, Russia by D. N. Kobzarenko, A. M. Kamilova, B. D. Pashtaev

“…As a mathematical research tool, a continuous wavelet transform with a complex Morlet wavelet function was used.Results. …”
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Time-frequency insights: Uncovering the drivers of reference evapotranspiration across China by Shuting Zhao, Jinglong Wu, Rangjian Qiu, Tao Zhang, Yufeng Luo, Wei Hu

“…Here, we identified the primary factors affecting ETo across time-frequency domain in 653 meteorological stations of mainland China based on the combination of wavelet transform coherence (WTC) and multiwavelet coherence (MWC) methods. …”
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Efficient-ViT B0Net: A high-performance light weight transformer for rice leaf disease recognition and classification by Santosh Kumar Upadhyay, Rajesh Prasad

“…The proposed method was compared with other approaches on the same experimental environment. …”
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Specific features of kinetics of thermal transformation of organic matter in Bazhenov and Domanik source rocks based on results of pyrolysis gas chromatography by Svetlana V. Mozhegova, Roman S. Gerasimov, Irina L. Paizanskaya, Anna A. Alferova, Elizaveta M. Kravchenko

“…Kinetic parameters of organic matter of oil and gas source rocks influence the onset time of generation and directly reflect differences in the composition and structure of different types of kerogens. …”
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Feature Selection and Classification Optimization of Transformer Oil Odor Data With Recursive Feature Elimination Using Grid Search and Cross-Validation by Bilge Han Tozlu

“…In this study, an electronic nose system was developed to detect the duration of oil usage in power transformers based on its smell. In the system designed with eleven inexpensive gas sensors, a total of 200 transformer oil odors with four different usage periods were analyzed. …”
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Combining convolutional neural network with transformer to improve YOLOv7 for gas plume detection and segmentation in multibeam water column images by Wenguang Chen, Xiao Wang, Junjie Chen, Jialong Sun, Guozhen Zha

“…Multibeam bathymetry has become an effective underwater target detection method by using echo signals to generate a high-resolution water column image (WCI). …”
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Transformation of the Regional Policy of Russia and China under the Conditions of Unequal Development of Regions (1980-2020): a Comparative Historical Study by S. B. Makeeva

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Ensemble Classifiers and Feature-Based Methods for Structural Damage Assessment by Hossein Babajanian Bisheh, Gholamreza Ghodrati Amiri, Ehsan Darvishan

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A Novel Approach for Visual Speech Recognition Using the Partition-Time Masking and Swin Transformer 3D Convolutional Model by Xiangliang Zhang, Yu Hu, Xiangzhi Liu, Yu Gu, Tong Li, Jibin Yin, Tao Liu

“…By adopting a strategy that combines Swin Transformer and 3D convolution, the proposed model enhances performance. …”
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Discussions on the Adsorption Behaviors Affected by the Differences Between Graphene Oxide and Graphene Grafted by Chitosan by Chin-Chun Chung, Hua-Wei Chen, Jin-Lin Han, Hung-Ta Wu

“…Thin films of graphene, graphene oxide, and their chitosan-modified counterparts were prepared via the methods of precipitation and grafting. The differences in the chemical structure, surface properties, and surface morphology of the films were evaluated, and their effect on the adsorption performance of CO₂ is discussed herein. …”
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RP-HPLC and UV Spectrophotometric Analysis of Paracetamol, Ibuprofen, and Caffeine in Solid Pharmaceutical Dosage Forms by Derivative, Fourier, and Wavelet Transforms: A Comparison... by Hoang Vu Dang, Huong Truong Thi Thu, Ly Dong Thi Ha, Huong Nguyen Mai

“…Different signal-transforming algorithms were applied for UV spectrophotometric analysis of paracetamol, ibuprofen, and caffeine in ternary mixtures. …”
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CAPSE-ViT: A Lightweight Framework for Underwater Acoustic Vessel Classification Using Coherent Spectral Estimation and Modified Vision Transformer by Najamuddin NAJAMUDDIN, Usman Ullah SHEIKH, Ahmad Zuri SHA’AMERI

“…Further, the features are processed via a vision transformer (ViT) network. This method enables the model to learn more complex relationships and patterns within the data, thereby improving the classification performance. …”
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Research and Application of SURF and Gray Difference in Detection of Small Modulus Plastic Gear Defect by Yang Ya, Tao Hongyan, Yu Chengbo

“…The obtained key points are iteratively sorted,and the RANSAC（ Random sample consensus） algorithm is used to extract the matching points for two times. The gray difference algorithm is used to extract the defective region after the matrix transformation registration,using the Otsu threshold method to segment the image and the characteristics of defect area domain are analyzed,which uses the Otsu threshold method to segment the image. …”
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LQ-MixerNeT: A CNN-Transformer Deep Fusion-Based Model for Object Detection in Optical Remote Sensing Images by Wenxuan Zheng, Ying Yang

“…Results demonstrate that our method achieves mAP@0.5 scores of 73.65%, 85.29%, and 83.25%, respectively. …”
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Transforming Early Breast Cancer Detection: A Deep Learning Approach Using Convolutional Neural Networks and Advanced Classification Techniques by Arun Kumar Singh, Bireshwar Dass Mazumdar, Rohit Raja, Kamred Udham Singh, Ankit Kumar, Mohd Asif Shah

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