EEG Depression Recognition Based on Multi-domain Features Combined with CBAM Model by CHEN Yu, HU Xiuxiu, WANG Sheng

“…At present, the electroencephalogram (EEG) identification method for depression mainly uses a single feature extraction method, which cannot cover multi-domain feature information, resulting in poor classification performance of the existing model. …”
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Towards Improved Eye Movement Biometrics: Investigating New Features with Neural Networks by Katarzyna Harezlak, Ewa Pluciennik

“…The same eye movement dynamic features were used in the second method, but this time, statistical values were calculated based on the previously defined time series. …”
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Eye movements and attention in visual feature search with graded target-distractor-similarity by Carolin Wienrich, Uta Heße, Gisela Müller-Plath

“…We conducted a visual feature search experiment in which we varied the target-distractor-similarity in four steps, the number of items (4, 6, and 8), and the presence of the target. …”
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Early Prediction of Epilepsy after Encephalitis in Childhood Based on EEG and Clinical Features by Xiaojuan Sun, Jinhua Zhao, Chunyun Guo, Xiaoxiao Zhu

“…Objective. The present study was designed to establish and evaluate an early prediction model of epilepsy after encephalitis in childhood based on electroencephalogram (ECG) and clinical features. …”
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Simulation Analysis on Active Frequency Support Features of Grid-Forming Wind Turbine by QU Sheng, TANG Jianping, LI Yangtao, LIU Hongwen, PANG Jiameng, HU Peng

“…This paper presents an architecture for controlling grid-forming wind turbines, focusing on the frequency support features of grid-forming wind turbines based on doubly-fed induction generator (DFIG), for the purpose of quantitatively analyzing their key parameters, including inertia time constant and droop coefficient. …”
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Efficient and Explainable Bearing Condition Monitoring with Decision Tree-Based Feature Learning by Trong-Du Nguyen, Thanh-Hai Nguyen, Danh-Thanh-Binh Do, Thai-Hung Pham, Jin-Wei Liang, Phong-Dien Nguyen

“…Bearings are critical components in rotating machinery, where early fault detection is essential to prevent unexpected failures and reduce maintenance costs. This study presents an efficient and interpretable framework for bearing condition monitoring by combining the Wavelet Packet Transform (WPT)-based feature extraction with a Decision Tree (DT) classifier. …”
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SOME FEATURES OF CHANGING TELOMERE LENGTH IN LYMPHOCYTES FROM THE PATIENTS WITH BRONCHIAL ASTHMA by V. I. Borisov, S. A. Demakov, V. M. Nepomnyashchikh, M. I. Leonova, D. V. Demina, N. A. Barovskaya, V. S. Kozhevnikov

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Imaging Features of Periosteal Chondroma Manifesting as a Subcutaneous Mass in the Index Finger by Hidetomo Kosaka, Jun Nishio, Taiki Matsunaga, Mikiko Aoki, Hiroshi Iwasaki, Masatoshi Naito

“…Recognition of the typical radiological features can lead to an accurate diagnosis of this rare condition.…”
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Optimizing Solar Radiation Prediction with ANN and Explainable AI-Based Feature Selection by Ibrahim Al-Shourbaji, Abdalla Alameen

“…Machine learning (ML) models are increasingly recognized for their ability to provide accurate and efficient solutions to SR prediction challenges. This paper presents an Artificial Neural Network (ANN) model optimized using feature selection techniques based on Explainable AI (XAI) methods to enhance SR prediction performance. …”
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Phonetic Features of Mozdok and Besleneev Dialects of Kabardino-Circassian Language: Similarities and Differences by A. A. Afaunova, N. G. Sherieva

“…The novelty of the study lies in its re-evaluation of dialectal features of the Kabardino-Circassian language variants for the first time in several decades. …”
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An automated extraction of spectral-temporal and spatial-temporal features of EEG for emotion detection by Monira Islam, Tan Lee

“…PLV of high oscillatory IMFs outperforms the reported systems with conventional EEG features.…”
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Features of the Relationship between Cardiorhythm Regulation and Components of Internal Picture of Disease in Students by O.E. Elnikova, A.V. Dobrin

“… <p>The work is aimed at identifying the features of the mechanisms of regulation of cardiac rhythm, which determine adaptive behavior in situations of health disorders. …”
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MRI-Based Meningioma Firmness Classification Using an Adversarial Feature Learning Approach by Miada Murad, Ameur Touir, Mohamed Maher Ben Ismail

“…Specifically, we present two key contributions: (i) an unsupervised feature extraction approach utilizing the Bidirectional Generative Adversarial Network (BiGAN) and (ii) a depth-wise separable deep learning model were designed to map the relevant MRI features with the predefined meningioma firmness classes. …”
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Value of CT Features in the Diagnosis of Papillary Thyroid Tumors in Incidental Thyroid Nodules by Fengyan Zhang, Ying Qiao, Hui Zhang

“…The present work has investigated the value of computed tomography (CT) features in the diagnosis of papillary thyroid tumors in the incidental thyroid nodules (ITNs). …”
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Similar and different features of soils in boreal deserts of Eastern and Western Central Asia by E. I. Pankova, M. P. Lebedeva

“…Gerasimov in 1954 entitled ―Similarity and difference in the nature of deserts‖. Among common features, the preservation of the traits of former elevated moistening should be mentioned, which seems to be mitigated or deleted by current active aeolian processes. …”
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Detecting Lameness in Dairy Cows Based on Gait Feature Mapping and Attention Mechanisms by Xi Kang, Junjie Liang, Qian Li, Gang Liu

“…Current computer vision approaches often rely on isolated lameness feature quantification, disregarding critical interdependencies among gait parameters. …”
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SPECIFIC FEATURES IN BUILDING AND DEVELOPMENT OF RESIDENTIAL AREA IN SUBURBS OF LARGEST BELARUSIAN CITIES by Ya. S. Shcharbach, G. A. Potaev

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Beyond Handcrafted Features: A Deep Learning Framework for Optical Flow and SLAM by Kamran Kazi, Arbab Nighat Kalhoro, Farida Memon, Azam Rafique Memon, Muddesar Iqbal

“…This paper presents a novel approach for visual Simultaneous Localization and Mapping (SLAM) using Convolution Neural Networks (CNNs) for robust map creation. …”
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Features of the functioning of regional airports in the context of the development of the Russian air transportation market by I. N. Rykova, A. A. Alaev, R. S. Gubanov

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Machine Learning-Based Diabetes Risk Prediction Using Associated Behavioral Features by Ayodeji O. J. Ibitoye, Joseph D. Akinyemi, Olufade F. W. Onifade

“…The models’ performances were evaluated using accuracy, precision, recall and F1-score and NN presented the best performance overall achieving an F1-score of 85% for the correlated feature pairs (CF) and 75% for the direct feature pairs. …”
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