Professional training of marketers in specialty 029 “Information, library and archival work” based on the competence approach by Kasjan Vladyslav, Kushnarov Valerii

“…The purpose of the article is to consider the peculiarities of the professional training of marketers in specialty 029 "Information, library and archival work" based on the competency approach. …”
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Improving person re-identification based on two-stage training of convolutional neural networks and augmentation by S. A. Ihnatsyeva, R. P. Bohush

“…A technology for two-stage training of convolutional neural networks (CNN) is presented, characterized by the use of image augmentation for the preliminary stage and fine tuning of weight coefficients based on the original images set for training. …”
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An Efficient Approach Based on RAE-GAMI-NET for Long Range Attack Detection on Blockchain by Vasavi Chithanuru, Mangayarkarasi Ramaiah

“…Then, the transformed features are used to train the RAE-GAMI-Net-based model to detect the LR attack. …”
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A Style Transfer Method for Chinese Landscape Painting Based on Detail Feature Extraction and Fusion by Jinghao HU, Guohua GENG, Meijun XIONG, Siyi LI, Yuhe ZHANG

“…However, several uncontrollable problems persist, such as the loss of some semantics during the style transfer process, model collapse in GAN network training, and the checkerboard effect in CNN-based style transfer methods. …”
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CLEAR: Multimodal Human Activity Recognition via Contrastive Learning Based Feature Extraction Refinement by Mingming Cao, Jie Wan, Xiang Gu

“…First, it employs data augmentation techniques in both the time and frequency domains to enrich the training data. Second, it optimizes feature extraction using attention-based multimodal fusion techniques and employs supervised contrastive learning to improve feature discriminability. …”
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Comprehensive optimization of passenger trains operation based on an automated system for managing the profitability of passenger traffic by G. L. Venediktov, V. M. Kochetkov

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Evaluation of horse personality based on constitutional characteristics by Nataša DEBELJAK, Manja ZUPAN

“…Knowledge of personality enables proper training for a horse, which leads to a better animal welfare. …”
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A Transformer-Based Approach for Efficient Geometric Feature Extraction from Vector Shape Data by Longfei Cui, Xinyu Niu, Haizhong Qian, Xiao Wang, Junkui Xu

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Enhancing Security of Proof-of-Learning Against Spoofing Attacks Using Feature-Based Model Watermarking by Ozgur Ural, Kenji Yoshigoe

“…This research integrates PoL with feature-based model watermarking, embedding the watermark directly into the model’s features or parameters. …”
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Low complexity radar signal classification based on spectrum shape by Liang YIN, Rui LIN, Xiaolei WANG, Yuliang YAO, Lin ZHOU, Yuan HE

“…In order to solve the problems of high computational complexity, low recognition accuracy of low signal to noise ratio (SNR) environment and low fidelity of simulation data in radar signal modulation recognition, a low complexity radar signal classification algorithm based on spectrum shape was proposed.Signal spectrum was normalized, feature parameters were extracted by spectrum sampling method, and then machine learning classification model was trained.The test results of the data generated by the radar signal source show that the classification accuracy of Barker code, Frank code, LFM code, BPSK, QPSK modulation and conventional radar signals is more than 90% (SNR≥3 dB).The algorithm has low computational complexity, can adapt to the change of signal parameters, and has good generalization.…”
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An Intrusion Detection Model Based on Feature Selection and Improved One-Dimensional Convolutional Neural Network by Qingfeng Li, Bo Li, Linzhi Wen

“…In this paper, an intrusion detection model based on feature selection and improved one-dimensional convolutional neural network was proposed. …”
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Interpretable Identification of Dynamic Adaptive Streaming over HTTP (DASH) Flows Based on Feature Engineering by Arkadiusz Biernacki

“…Our methodology involves feature generation, filtering, and clustering. The clustering used the most significant features to group similar traffic patterns. …”
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Optimizing Fingerprint Identification: CNNs With Raw Images Versus Handcrafted Features for Real-Time Systems by Shaik Salma, Tauheed Ahmed, Garimella Ramamurthy

“…This study investigates the balance between accuracy and computational efficiency(thereby speed) by comparing two approaches: training a Convolutional Neural Network (CNN) with raw fingerprint images and training a CNN using handcrafted fingerprint features. …”
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Malware Detection and Classification in Android Application Using Simhash-Based Feature Extraction and Machine Learning by Wafaa Al-Kahla, Eyad Taqieddin, Ahmed S. Shatnawi, Rami Al-Ouran

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Small sample smart contract vulnerability detection method based on multi-layer feature fusion by Jinlin Fan, Yaqiong He, Huaiguang Wu

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An Improved YOLOv8-XGBoost load rapid identification method based on multi-feature fusion by JianYuan Wang, Long Cheng

“…To address these issues, this paper proposes an Improved YOLOv8-XGBoost rapid load identification method based on multi-feature fusion. First, the temporal features of load current data are extracted using the Markov Transition Field (MTF) algorithm through image encoding methods. …”
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Research on Chinese Semantic Relation Extraction in Marine Engine Rooms Based on Multi-Feature Fusion by Xicai Liu, Zhengquan Wang, Fubo Wang

“…Moreover, we utilize an attention mechanism to combine the syntactic graph structural features with the context features extracted by BERT, resulting in a multi-feature fused representation. …”
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Research and performance analysis of random forest-based feature selection algorithm in sports effectiveness evaluation by Yujiao Li, Yingjie Mu

“…This study is based on the evaluation method of motion effects using random forests, and uses feature extraction algorithms to study the motion effect impacts. …”
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Prediction of Insulator ESDD Based on Meteorological Feature Mining and AdaBoost-MEA-ELM Model by Yaoping WANG, Te LI, Kaihua JIANG, Wenhui LI, Qiang WU, Yu WANG

“…The meteorological features that are more closely related to insulator pollution degree are mined, and the importance of each meteorological feature is evaluated by the random forest algorithm. …”
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Style Transfer and Topological Feature Analysis of Text-Based CAPTCHA via Generative Adversarial Networks by Tao Xue, Zixuan Guo, Zehang Yin, Yu Rong

“…This study introduces topological feature analysis as a new method for evaluating text-based CAPTCHAs. …”
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