Memory Efficient Local Features Descriptor for Identity Document Detection on Mobile and Embedded Devices by Daniil P. Matalov, Elena E. Limonova, Natalya S. Skoryukina, Vladimir V. Arlazarov

“…To estimate the influence of different feature spaces on the descriptor performance, we perform descriptor training experiments using gradient-based and intensity-based features. …”
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Deep Learning Approach for Music Genre Classification using Multi-Feature Audio Representations by Nurul Asanah, Irfan Pratama

“…CNN model consisting of four convolutional layers with increasing filters (32–256). The model was trained over 13 epochs using the Adam optimizer. The proposed model achieved 91% accuracy, outperforming previous approaches based on single-feature extraction. …”
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Prediction of Promotors in Agrobacterium and Klebsiella Using Novel Feature Engineering and Ensemble Learning Approach by Nagwan Abdel Samee, Rawan Talaat, Ali Raza, Hadil Shaiba, Souham Meshoul

“…These features were then used to train an ensemble learning model, combining the strengths of multiple classifiers to enhance prediction accuracy. …”
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Prediction of Remaining Useful Life of Operating Mechanism Driven by Deep Feature in Classification Model by Xilei Dong, Fuping Zhang, Yunyang Ye, Huan Zhang

“…For a given sample, with the principal component analysis method, the extracted deep features from the trained network can be further optimized. …”
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Probabilistic regression for autonomous terrain relative navigation via multi-modal feature learning by Ickbum Kim, Sandeep Singh

“…In the current work, a novel formulation is proposed to train CNN-based Deep Learning (DL) models in a multi-layer cascading architecture and utilize the resulting classification probabilities as regression weights to estimate the position of the lander spacecraft. …”
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Deep Feature Fusion via Transfer Learning for Multi-Class Network Intrusion Detection by Sunghyuk Lee, Donghwan Roh, Jaehak Yu, Daesung Moon, Jonghyuk Lee, Ji-Hoon Bae

“…To address these limitations, this study proposes a deep learning-based intrusion detection framework that employs feature fusion through incremental transfer learning between source and target domains. …”
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Machine learning techniques for imbalanced multiclass malware classification through adaptive feature selection by Binayak Panda, Sudhanshu Shekhar Bisoyi, Sidhanta Panigrahy, Prithviraj Mohanty

“…This article proposes an Adaptive Multiclass Malware Classification (AMMC) framework that trains base machine learning models with fewer computational resources to detect malware. …”
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Generation of Seismocardiography Heartbeats Using a Wasserstein Generative Adversarial Network With Feature Control by James Skoric, Yannick D'Mello, David V. Plant

“…<italic>Methods</italic>: We trained a Wasserstein generative adversarial network (GAN) with gradient penalty on authentic SCG heartbeats. …”
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Evaluation of pulmonary embolism patients in a tertiary hospital with clinical, radiological and laboratory features by Emre Bacaksız, Emine Özsari, Suat Konuk

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Features of teaching thermal injury course for the third-year students at the general surgery department. by V. Nagaichuk, M. Zheliba, R. Chornopyshchuk

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Towards an intelligent integrated methodology for accurate determination of volume percentages in three-phase flow systems by Abdullah M. Iliyasu, Mohammad Sh. Daoud, Ahmed Sayed Salama, John William Grimaldo Guerrero, Kaoru Hirota

“…Our methodology integrates the time, frequency, and wavelet transform features extracted from X-ray-based measurement systems whose structure consists of an X-ray tube source, two sodium iodide detectors, and a test pipe, all of which were simulated using the Monte Carlo N Particle code. …”
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Distinguishing novel coronavirus influenza A virus pneumonia with CT radiomics and clinical features by Lianyu Sui, Huan Meng, Jianing Wang, Wei Yang, Lulu Yang, Xudan Chen, Liyong Zhuo, Lihong Xing, Yu Zhang, Jingjing Cui, Xiaoping Yin

“…Abstract Objectives To differentiate novel coronavirus pneumonia (NCP) with influenza A virus (IAV) pulmonary infection based on computed tomography (CT) radiomics features combined with clinical feature. …”
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Characteristic Features of the Evolution of a Meiyu Frontal Rainstorm with Doppler Radar Data Assimilation by Hongli Li, Yang Hu, Zhimin Zhou, Juxiang Peng, Xiangde Xu

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Update on Acute Tubulointerstitial Nephritis: Clinical Features, Immunologic Insights, and Diagnostic and Treatment Approaches by Tuncay Sahutoglu, Mark A. Perazella

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Classification and Recognition of Fish Farming by Extraction New Features to Control the Economic Aquatic Product by Yizhuo Zhang, Fengwei Zhang, Jinxiang Cheng, Huan Zhao

“…The proposed method based on suitable feature extracted from the fish achieved good results in terms of recognition rate and accuracy.…”
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Bayesian-optimized stacking ensemble with multimodal feature selection for tobacco leaf maturity classification by Yunpeng Lu, Yang Wu, Lu Zhang, Jinguo Huang, Guangwei Sun, Jing Liu

“…Subsequently, we utilize the prediction results of these base models as new features inputted into a meta-model. …”
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Rights of convicted minors: features of ensuring and implementing them during martial law in Ukraine by O. M. Humin

“…This applies both to the direct acquisition of general secondary education and to the continuation of education if the person has stopped it at a certain level. Based on the legislation of Ukraine regulating the educational process, the features of general education and vocational training of prisoners are determined. …”
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Features of a Systematic Approach to the Prevention of Healthcare-Associated Infections in the Russian Federation and abroad by M. A. Davydova, G. D. Bryukhanova, V. N. Gorodin

“…Differences were noted in approaches to the prevention of HAIs in Russia and abroad, concerning the resource provision of molecular biological monitoring of HAI pathogens, as well as the features of teamwork, targeted communication in medical teams and in explanatory work, as well as the implementation of training programs for relatives to care for patients with HAI. …”
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Acoustic Features for Identifying Suicide Risk in Crisis Hotline Callers: Machine Learning Approach by Zhengyuan Su, Huadong Jiang, Ying Yang, Xiangqing Hou, Yanli Su, Li Yang

“…ResultsThe development of machine learning models utilizing HSF acoustic features has been demonstrated to enhance recognition performance compared to models based solely on basic acoustic features. …”
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Reinforcement Learning With Deep Features: A Dynamic Approach for Intrusion Detection in IoT Networks by Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag Sallabi, Khaled Shuaib, Heba M. Khater

“…The extracted feature sets were concatenated within a feature fusion layer that enabled efficient dimensionality reduction via principal component analysis. …”
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