A Novel Improvement of Feature Selection for Dynamic Hand Gesture Identification Based on Double Machine Learning by Keyue Yan, Chi-Fai Lam, Simon Fong, João Alexandre Lobo Marques, Richard Charles Millham, Sabah Mohammed

“…The core goal is to select independent variables from a gesture identification problem that are causally related to final gesture results. …”
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SAVL: Scene-Adaptive UAV Visual Localization Using Sparse Feature Extraction and Incremental Descriptor Mapping by Ganchao Liu, Zhengxi Li, Qiang Gao, Yuan Yuan

“…Firstly, to tackle the challenge of inaccurate localization resulting from sparse terrain features, this work proposes a novel feature extraction network grounded in a general visual model, leveraging the robust zero-shot generalization capability of the pre-trained model and extracting sparse features from UAV and satellite imagery. …”
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A Study on Interpretable Electric Load Forecasting Model with Spatiotemporal Feature Fusion Based on Attention Mechanism by Shuaishuai Li, Weizhen Chen

“…Traditional methods have difficulty dealing with high-dimensional nonlinear data, and the single deep learning model has the limitations of spatiotemporal feature decoupling and being a “black box”. Aiming at the problem of insufficient accuracy and interpretability of power load forecasting in a renewable energy grid connected scenario, this study proposes an interpretable spatiotemporal feature fusion model based on an attention mechanism. …”
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Multiscale Attention Feature Fusion Based on Improved Transformer for Hyperspectral Image and LiDAR Data Classification by Aili Wang, Guilong Lei, Shiyu Dai, Haibin Wu, Yuji Iwahori

“…With the uninterrupted evolution of remote sensing data, the list of available data sources has expanded, effectively utilizing useful information from multiple sources for better land surface observation, which has become an intriguing and challenging problem. However, the complexity of urban areas and their surrounding structures makes it extremely difficult to capture correlations between features. …”
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PneuX-Net: An Enhanced Feature Extraction and Transformation Approach for Pneumonia Detection in X-Ray Images by Kashif Munir, Muhammad Usama Tanveer, Hasan J. Alyamani, Amine Bermak, Atiq Ur Rehman

“…Early and precise detection is crucial to optimizing treatment strategies and reducing morbidity and mortality rates. To address this problem, we propose PneuX-Net, an ensemble-based feature extraction framework that integrates multiple machine learning (ML) models Random Forest (RF), Gaussian Naïve Bayes (GNB) and K-Nearest Centroid (KNC). …”
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Multi-Level Feature Dynamic Fusion Neural Radiance Fields for Audio-Driven Talking Head Generation by Wenchao Song, Qiong Liu, Yanchao Liu, Pengzhou Zhang, Juan Cao

“…However, previous approaches failed to distinguish the importance of different regions, resulting in the loss of information-rich region features. To alleviate the problem and improve video quality, we propose MLDF-NeRF, an end-to-end method for talking head generation, which can achieve better vector representation through multi-level feature dynamic fusion. …”
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Spatial–Spectral Feature Fusion and Spectral Reconstruction of Multispectral LiDAR Point Clouds by Attention Mechanism by Guoqing Zhou, Haoxin Qi, Shuo Shi, Sifu Bi, Xingtao Tang, Wei Gong

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A Novel Dual-Branch Global and Local Feature Extraction Network for SAR and Optical Image Registration by Xuanran Zhao, Yan Wu, Xin Hu, Zhikang Li, Ming Li

“…However, the inherent differences between the two modalities pose a challenge to the existing deep-learning algorithms that only depend on local features. To address this problem, we propose a global and local feature extraction network (GLFE-Net) for SAR and optical image registration. …”
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DMSF-YOLO: Cow Behavior Recognition Algorithm Based on Dynamic Mechanism and Multi-Scale Feature Fusion by Changfeng Wu, Jiandong Fang, Xiuling Wang, Yudong Zhao

“…For the problem in multi-scale behavior changes of dairy cows, a multi-scale convolution module (MSFConv) is designed, and some C3k2 modules of the backbone network and neck network are replaced with MSFConv, which can extract cow behavior information of different scales and perform multi-scale feature fusion. …”
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CLINICAL AND MORPHOLOGICAL FEATURES OF THE PATHOLOGY OF THE UPPER DIGESTIVE SYSTEM IN THE RESIDENTS PERMANENTLY RESIDING IN RADIOACTIVELY CONTAMINATED AREAS by S. V. Dudarenko, A. V. Rozhko, S. N. Lopatin, O. V. Leontyev

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FEATURES of NON-DESTRUCTIVE damage CONTROL OF aircraft parts made of composite MATERIALS at the enterprises of aviation industry by A. V. Kopylov, B. V. Zubkov

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Application of simulation methods to evaluation of accoustic features and design of adaptation of the concert hall of Cracow Philharmonic Orchestra by A. GOŁAŚ, J. WIERZBICKI

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Features of Plagiarism Checking in a Technical University Considering the Possibilities of Application of Generative Artificial Intelligence by Learners by L. A. Zinchenko, E. V. Rezchikova, E. A. Tarapanova

“…There are various methods that make it possible to easily bypass such a check. This problem has become especially actual in recent years due to the development of information technology. …”
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Features of the formation of vocal and stage skills among students of Chinese universities in the process of learning opera singing by He Chang, Natalya G. Tagiltseva

“…The article attempts to identify the features of opera performance training in bachelor's degree programs in higher educational institutions in China, where the process of formation of vocal and stage skills occupies a central place. …”
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Success and its Relativization: General Remarks on the Fate of Literary Works and their Authors (Specific Features of Czech Literature) by Ivo Pospíšil

“… The author of the present paper deals with the general features of success of literary artefacts on the examples of several Czech authors. …”
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Clinical features of coronary heart disease in postmenopausal women, depending on the degree of bone mineral density loss by N. S. Mykhailovskaya, I. O. Shevchenko, O. V. Nikituk

“…Coronary artery disease (CAD) is one of the most urgent problems of the modern cardiology. Aim. In order to explore the clinical features of the coronary artery disease, depending on the degree of bone mineral density loss the study included 43 women in postmenopausal period. …”
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Semantic-Syntactic and Communicative-Pragmatic Features of Translation of Sentences with Coordinative Conjunctions from Russian into Korean Language by V. N. Zavyalov, Su. M. Song

“…The article covers the problems of translation of sentences with coordinative conjunctions into Korean. …”
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Features and prospects of the Russian civil aircraft industry development under sanctions pressure from Western countries by V. V. Lapushkin

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Expensive but Worth It: Live Projects in Statistics, Data Science, and Analytics Courses by Christian Ritter, L. Allison Jones-Farmer, Frederick W. Faltin

“…We observe that courses featuring live projects and coaching by experienced faculty have a high career impact, as reported by former participants. …”
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Features of Determining the Cost Indicators Through Forensic Examination During the Legal Proceedings in the Determination of the Amount of Losses by A. V. Shchepot’ev, T. A. Fedorova

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