TREET: TRansfer Entropy Estimation via Transformers by Omer Luxembourg, Dor Tsur, Haim Permuter

“…Finally, we apply TREET to feature analysis of patients with Apnea, demonstrating its applicability to real-world physiological data. …”
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Defect Detection in the DR Images of Aluminum and Magnesium Alloy Castings Based on the Improved YOLOv8 Algorithm by Mingfei CHEN, Shuai TIAN

“…Second, the YOLOv8 network structure is improved, and the context anchor attention (CAA) mechanism is introduced to pay more attention to key defect features; the cross-scale feature fusion module (CCFM) is introduced to enhance the expression ability of multi-scale features; the detection head is improved to enhance the detection ability of small targets. …”
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Mechanical Fault Diagnosis of High Voltage Circuit Breakers Based on Phase Space Reconstruction and Improved GSA-SVM by Xiaofei XIA, Yufeng LU, Yi SU, Jian YANG

“…The PSO-GSA-SVM can quickly and effectively identify the fault types of circuit breakers, thus providing an effective solution to such problems as path distortion, energy leakage and mode overlap of existing diagnosis methods.…”
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Applying the Least Squares Approach to Solve Fredholm Fuzzy Fractional Integro-Differential Equations by Saif Aldeen M. Jameel, Sharmila karim, Ali Fareed Jameel

“…The results validation of FLSM is demonstrated by addressing two numerical problems as test examples that include FFIDE subject to initial conditions. …”
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Robust audio authenticity detection based on One-Class learning by LIANG Ziqi, ZHANG Xulong, WANG Jianzong, XIAO Jing

“…In addition, to address the scarcity of fake voice data, the more versatile and robust self-supervised model Wav2vec2 was introduced for feature extraction, further improving the recognition accuracy of the model when faced with unknown attacks. …”
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A narrative review of nosology and the concept of schizophrenia: criticism and proposal by Ricardo Abreu Feijo de Mello, Ary Gadelha, Larissa Leal Freitas, Vitoria Fernandes Sant’Ana, Marcelo Feijó Mello

“…The central proposition was to adopt psychotic syndrome as a core feature instead of the current concept of schizophrenia. …”
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E-FCNN Based Electric Power Inspection Image Enhancement by Wanrong BAI, Xun ZHANG, Xiaoqin ZHU, Jixiang LIU, Qiyu CHENG, Yan ZHAO, Jie SHAO

“…In order to solve this problem, we propose an edge-aware feedback convolutional neural network (E-FCNN), which not only adds Resnet blocks and feedback mechanism to the conventional super-resolution network to strengthen the ability of feature extraction, but also adds texture information to the edge-aware branch to enhance the image detail. …”
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IDENTIFIKASI CITRA UKIRAN ORNAMEN TRADISIONAL BALI DENGAN METODE MULTILAYER PERCEPTRON by I Gede Rusdy Mahayana Putra, Made Windu Antara Kesiman, Gede Aditra Pradnyana, I Made Dendi Maysanjaya

“…In this study uses Gabor Filter as a feature extraction from the carved image that used and Multilayer Perceptron as a classifier. …”
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Research on sinusoidal load identification method under structural natural frequency excitation based on LSTM-CNN by HE Wenbo, SUN Hanyu, XIE Jiang, ZHANG Xiaoqiang

“…This model combines the feature extraction capabilities of the convolutional neural network（CNN）with the long-term memory function of the long short-term memory network（LSTM）. …”
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The analysis of fraud detection in financial market under machine learning by Jing Jin, Yongqing Zhang

“…Abstract With the rapid development of the global financial market, the problem of financial fraud is becoming more and more serious, which brings huge economic losses to the market, consumers and investors and threatens the stability of the financial system. …”
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The Effect of Various Text Representation Methods for Sentiment Analysis on Movie Review Data with Different Machine Learning Methods by Veysel Göç, Muhammet Sinan Başarslan

“…It is worth noting that text feature extraction with Bidirectional Encoder Representations from Transformers (BERT) provided the highest performance in all models, with the SVM model offering particularly promising results. …”
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DeepCNNMed: Enhancing Medicinal Plant Identification Through Deep Convolutional and Hybrid Neural Networks by Rajalakshmi Gurusamy, Parameswari Chandrasekaran, Yamuna Devi Manickam Malu, Madhusudhanan Sampath, Nesarani Abraham

“…It is well known that feature extraction and classification are impacted by RPNN + FCNN. …”
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Hierarchical-fuzzy allocation and multi-parameter adjustment prediction for industrial loading optimisation by Zihua Chen, Chuanli Wang, Huawei Jin, Jingzhao Li, Shunxiang Zhang, Qichun Ouyang

“…Second, the LSTM-1 is used to extract the time-series features in the loading process. Third, a two-dimensional and reconstructed matrix integrates comprehensive features with the feature crossover method. …”
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ACTUAL DISCOURE ABOUT TIPES FND DEVELOPMENT TENDENCIES NATIONAL STATE by E. G. Ponomareva

“…Thus statehood acts as a qualitative feature of the state.…”
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Study of kinetic performance effect on wheel and rail wear using computer simulation by Lev I. Evelson, Evgeny A. Pamfilov, Alexander G. Tsygankov, Ludmila I. Shiryaeva

“…It is proposed to continue the research in two main areas: determining the influence patterns on the kinetic friction performance and wear of the multiple actual factors, and studying the dynamic (at variable slip velocity) feature of friction effect on the parameter wear through the same procedure.…”
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Comparative study of soft neurological signs in patients of schizophrenia and bipolar disorder at a tertiary care center by Ravi Kishore Sadula, Aparna Meda, Sudharani Kesavareddy, Umashankar Molanguri

“…Background: The study of neurological soft signs (NSSs) is a simple, clinical, inexpensive, and direct method of investigation for schizophrenia and bipolar disorders which are the major mental health problems that require early detection and treatment. …”
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Full Data-Processing Power Load Forecasting Based on Vertical Federated Learning by Zhengxiong Mao, Hui Li, Zuyuan Huang, Yuan Tian, Peng Zhao, Yanan Li

“…The first problem is a lack of a full data-processing procedure, and the second is a lack of enhanced privacy protection for data processing. …”
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Improving the Investment Policy of Countries with a Transit Economy: the Experience of Kazakhstan by G. M. Aubakirova, S. K. Mazhitova, F. M. Isatayeva, A. E. Tomashinova

“…The purpose of the article is to identify the main problems of the investment policy of Kazakhstan, based on the analysis of its generalized indicators, and to formulate the directions for its improvement in the medium term. …”
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Tensor-Based Uncoupled and Incomplete Multi-View Clustering by Yapeng Liu, Wei Guo, Weiyu Li, Jingfeng Su, Qianlong Zhou, Shanshan Yu

“…Specifically, the proposed method recovers missing samples in a low-dimensional feature space. Subsequently, the self-representation matrices are paired with the optimal views through permutation matrices. …”
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An Efficient Acoustic Metamaterial Design Approach Integrating Attention Mechanisms and Autoencoder Networks by Yangyang Chu, Yiping Liu, Bingke Wang, Zhifeng Zhang

“…We constructed a forward prediction network that integrates an attention mechanism, a multi-scale feature fusion, and a reverse design model that combines an improved autoencoder and cascaded neural network to efficiently model the dispersion performance of acoustic metamaterials. …”
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