Optimization method for educational resource recommendation combining LSTM and feature weighting by Meixia Yang

“…With the continuous development of the Internet and the growing demand for education, various online courses have emerged in large numbers. …”
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Deep Feature-Based Hyperspectral Object Tracking: An Experimental Survey and Outlook by Yuchao Wang, Xu Li, Xinyan Yang, Fuyuan Ge, Baoguo Wei, Lixin Li, Shigang Yue

“…Through in-depth investigation, the advantages and weaknesses of current HOT technology based on deep features are clearly demonstrated, which also points out the directions for future development.…”
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Adaptive deep feature representation learning for cross-subject EEG decoding by Shuang Liang, Linzhe Li, Wei Zu, Wei Feng, Wenlong Hang

“…Methods: We propose a novel adaptive deep feature representation (ADFR) framework to improve the cross-subject EEG classification performance through learning transferable EEG feature representations. …”
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Prediction model for chemical explosion consequences via multimodal feature fusion by Yilin Wang, Beibei Wang, Yichen Zhang, Jiquan Zhang, Yijie Song, Shuang-Hua Yang

“…Its core lies in the establishment of a multimodal fusion theoretical framework, breaking through the limitations oftraditional cross-modal correlation analysis; the development of an optimized architecture that combines Transformer feature extraction and SVM regression; highlighting the potential application of the model in chemoinformatics; and enabling the prospective assessment of the explosion risks of unknown chemicals, supporting a safety-oriented design concept.…”
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Prevalence of comorbid asthma in Tunisian patients with COVID-19: clinical features and outcomes by Imen Ben Rebeh, Marwa Gargouri, Marwa Ghariani, Nesrine Kallel, Sana Rouis, Wafa Marrakchi, Dhekra Chebil, Riadh Ben Marzoug, Hela Gargouri, Latifa Merzougui, Houda Ghorbel, Mohamed Chakroun, Hassen Hadj Kacem, Ahmed Rebai

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Clinical features and risk factors for mortality in patients with Klebsiella pneumoniae bloodstream infections by Panpan Xu, Xijiang Zhang, Qingqing Chen, Qin Si, Xinhua Luo, Chuming Zhang, Zongguang He, Ronghai Lin, Cheng Zheng

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An Integrated Algorithm with Feature Selection, Data Augmentation, and XGBoost for Ovarian Cancer by Jingxun Cai, Zne-Jung Lee, Zhihxian Lin, Chih-Hung Hsu, Yun Lin

“…These new technologies offer significant opportunities and potential for developing ovarian cancer diagnostic prediction methods. …”
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FRANet: A Feature Refinement Attention Network for SAR Image Denoising by Shuaiqi Liu, Yu Lei, Qi Hu, Ming Liu, Bing Li, Weiming Hu, Yu-Dong Zhang

“…Second, a feature attention encoder–decoder network is constructed for deep feature extraction. …”
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Evaluating Feature Selection Methods for Accurate Diagnosis of Diabetic Kidney Disease by Valeria Maeda-Gutiérrez, Carlos E. Galván-Tejada, Jorge I. Galván-Tejada, Miguel Cruz, José M. Celaya-Padilla, Hamurabi Gamboa-Rosales, Alejandra García-Hernández, Huizilopoztli Luna-García, Klinge Orlando Villalba-Condori

“…<b>Background/Objectives</b>: The increase in patients with type 2 diabetes, coupled with the development of complications caused by the same disease is an alarming aspect for the health sector. …”
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Feature Engineering for the Prediction of Scoliosis in 5q‐Spinal Muscular Atrophy by Tu‐Lan Vu‐Han, Vikram Sunkara, Rodrigo Bermudez‐Schettino, Jakob Schwechten, Robin Runge, Carsten Perka, Tobias Winkler, Sebastian Pokutta, Claudia Weiß, Matthias Pumberger

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Optimized Clinical Feature Analysis for Improved Cardiovascular Disease Risk Screening by Sofiya Vyshnya, Rachel Epperson, Felipe Giuste, Wenqi Shi, Andrew Hornback, May D. Wang

“…The machine learning model developed using this optimized feature set achieved state-of-the-art results, with an AUROC of 91.30&#x0025;, sensitivity of 89.01&#x0025;, and specificity of 85.39&#x0025;. …”
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Symmetry Feature and Construction for the 3-Band Tight Framelets with Prescribed Properties by Jianjun Sun, Bin Huang, Xiaodong Chen, Lihong Cui

“…A construction approach for the 3-band tight wavelet frames by factorization of paraunitary matrix is developed. Several necessary constraints on the filter lengths and symmetric features of wavelet frames are investigated starting at the constructed paraunitary matrix. …”
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Dual-modal edible oil impurity dataset for weak feature detection by Huiyu Wang, Qianghua Chen, Jianding Zhao, Liwen Xu, Ming Li, Ying Zhao, Qinpei Zhao, Qin Lu

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Self-Adaptive MOEA Feature Selection for Classification of Bankruptcy Prediction Data by A. Gaspar-Cunha, G. Recio, L. Costa, C. Estébanez

“…As companies become complex, they develop sophisticated schemes to hide their real situation. …”
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Crop classification with deep convolutional neural network based on crop feature by Mohamad Reza Gili, Davoud Ashourloo, Hosein Aghighi, Ali Akbar Matkan, Alireza SHakiba

“…In the next step, the functions that were developed as phenological features for crops were applied on the time series of the bands, and for each crop, a feature channel was obtained as the special feature of that crop. …”
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Enhancing Multi–Class Prediction of Skin Lesions with Feature Importance Assessment by Paulauskaite-Taraseviciene Agne, Sutiene Kristina, Dimsa Nojus, Valiukeviciene Skaidra

“…Numerous image processing techniques have been developed for the identification of various types of skin lesions. …”
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A New Method for Iris Segmentation and Feature Extraction in Spatial Domain by Dujan Taha, Shamil Ibraheem

“…In this paper, a new proposed method is developed, this method contains two algorithms, one for human iris recognition, the other is for extracting the features of the recognized iris. …”
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A conditional opposition-based particle swarm optimisation for feature selection by Jingwei Too, Ali Safaa Sadiq, Seyed Mohammad Mirjalili

“…In this paper, a conditional opposition-based particle swarm optimisation is proposed and used to develop a wrapper feature selection. Two schemes, namely opposition-based learning and conditional strategy are introduced to enhance the performance of the particle swarm optimisation. …”
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Multi-Strategy Enhanced Parrot Optimizer: Global Optimization and Feature Selection by Tian Chen, Yuanyuan Yi

“…Furthermore, a binary version of the ECPO is developed and applied to FS problems on ten real-world datasets, demonstrating its ability to achieve competitive error rates with reduced feature subsets. …”
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Scale-Invariant Feature Transform Algorithm with Fast Approximate Nearest Neighbor by Baghdad Science Journal

“…There is a great deal of systems dealing with image processing that are being used and developed on a daily basis. Those systems need the deployment of some basic operations such as detecting the Regions of Interest and matching those regions, in addition to the description of their properties. …”
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