Distributed Denial of Services (DDoS) attack detection in SDN using Optimizer-equipped CNN-MLP. by Sajid Mehmood, Rashid Amin, Jamal Mustafa, Mudassar Hussain, Faisal S Alsubaei, Muhammad D Zakaria

“…The SDN has several security problems because of its intricate design, even with all its amazing features. …”
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Application research of sample data generation based on improved Cycle-GAN in intrusion detection by ZENG Qingpeng, GUO Hangkai

“…This approach preserved data traffic characteristics while extracting key feature information and utilized unsupervised learning to optimize the original data set distribution. …”
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Daily safety in Abidjan in Côte d’Ivoire: an analysis of local action based on municipal regulations by Agnès GNAMMON-ADIKO

“…In Abidjan, as well as in many cities around the world, the pressure of insecurity is a permanent feature, with complex and diffuse manifestations. …”
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Cluster Node Migration Oriented Holistic Trust Management Protocol for Ubiquitous and Pervasive IoT Network by Anup Patnaik, Banitamani Mallik, M. Vamsi Krishna

“…Smart applications with interconnected intelligent devices for sharing services arise serious security problems to the stability of this IoT complex and heterogeneous environment. …”
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The identification of dynamic product innovation opportunities using the multi-phase QFD: the customer requirement and technology development perspectives by Lu Zheng, Lin Sun, Zhen He, Shuguang He

“…Firstly, based on online reviews, we apply BERTopic and sentiment analysis to dynamically estimate the performance of features discussed in different periods. For each feature, their ability to satisfy customer requirements is assessed. …”
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Two-Phase Incremental Kernel PCA for Learning Massive or Online Datasets by Feng Zhao, Islem Rekik, Seong-Whan Lee, Jing Liu, Junying Zhang, Dinggang Shen

“…As a powerful nonlinear feature extractor, kernel principal component analysis (KPCA) has been widely adopted in many machine learning applications. …”
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Experimental Turn in Philosophy by Natalia V. Zaitseva, Dmitry V. Zaitsev

“…Building upon this, we propose the interpretation of experimental philosophy not as a particular direction or stage in the development of philosophical thought but rather as a radical change in the method of philosophical inquiries, involving the synthesis of traditional philosophical research methods and methodology of empirical (primarily cognitive) science to solve philosophical problems. An important characteristic feature of experimental philosophy, so defined, is its interdisciplinarity. …”
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TRAJECTORIES OF DYNAMIC EQUILIBRIUM AND REPLICATOR DYNAMICS IN COORDINATION GAMES by Nikolay A. Krasovskii, Alexander M. Tarasyev

“…In such games, players receive large payoffs when choosing the same type of behavior. A special feature of a \(2\times2\) coordination game is the presence of three static Nash equilibria. …”
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Research on the Bearing Remaining Useful Life Prediction Method Based on Optimized BiLSTM by Yi Zou, Wenlei Sun, Tiantian Xu, Bingkai Wang

“…Afterward, multi-domain features are extracted and evaluated using different metrics. …”
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Enhancing education quality with hybrid clustering and evolutionary neural networks in a multi phase framework by Saleem Malik, Chandrakanta Mahanty, Jnanaranjan Mohanty, Krunal Vaghela, T. Narmadha, R. Sivaranjani, Javed Khan Bhutto, Saiful Islam, Anwar Khan, Amanuel Zewdie

“…This algorithm’s strong feature selection and clustering help target educational interventions by revealing student learning behaviors. …”
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SPCB-Net: A Multi-Scale Skin Cancer Image Identification Network Using Self-Interactive Attention Pyramid and Cross-Layer Bilinear-Trilinear Pooling by Xin Qian, Tengfei Weng, Qi Han, Chen Wu, Hongxiang Xu, Mingyang Hou, Zicheng Qiu, Baoping Zhou, Xianqiang Gao

“…Deep convolutional neural networks have made some progress in skin lesion classification and cancer diagnosis, but there are still some problems to be solved, such as the challenge of small inter-class feature differences and large intra-class feature differences, which might limit the classification performance of the model as high-level and low-level features are not properly utilized. …”
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A Rice-Mapping Method with Integrated Automatic Generation of Training Samples and Random Forest Classification Using Google Earth Engine by Yuqing Fan, Debao Yuan, Liuya Zhang, Maochen Zhao, Renxu Yang

“…Due to cloud occlusion and banding problems, data extraction from Landsat series remote sensing images with medium spatial resolution is not optimal. …”
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GDSN-CD: Graph-Guided Diffusion Synergistic Network for Remote Sensing Change Detection by Yunfei Zhu, Jintao Song, Jinjiang Li

“…Based on this approach, we propose an end-to-end GDSN-CD framework. To overcome the problem of semantic and noise feature mismatch that may occur during the denoising process of diffusion models, we innovatively design a semantic-noise collaborative module, which uses a grouped channel fusion strategy to achieve precise feature matching. …”
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ECONOMICAL CORE AT THE DIFFERENT LEVELS OF MANAGEMENT SYSTEM HIERARCHY by К. В. Павлов

“…The process of the developed market relations formation in Russia led to the emergence of many problems whose solution requires taking into account territorial specificities. …”
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DYSFUNCTION OF MODERN RUSSIAN INSTITUTES OF STATE AWARDS IN THE SPHERE OF EDUCATION AND SCIENCE by Aleksey V. Ruchkin

“…Ways of the solution of the revealed problems are offered. In particular, the author points out that it is necessary to create an incentive system intended not only for remote prospect (for example, upon reaching a pension age), but also for the current labour period; material remuneration should be a sufficient impulse for professionals and based on a recognition of achievements, first of all, by colleagues (of the same profession), not unauthorized people. …”
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APPLIED ASPECTS OF MODERN ANTI-CRISIS FINANCIAL MANAGEMENT by Zoia S. Pestovska, Кateryna S. Romanova, Olesya S. Rosenberg

“…Measures on anti-crisis financial management are considered on the example of two companies, the common feature of which is that a comprehensive financial analysis of each of them showed very contradictory results. …”
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D³-YOLOv10: Improved YOLOv10-Based Lightweight Tomato Detection Algorithm Under Facility Scenario by Ao Li, Chunrui Wang, Tongtong Ji, Qiyang Wang, Tianxue Zhang

“…However, under the facility scenario, existing detection algorithms still have challenging problems such as weak feature extraction ability for occlusion conditions and different fruit sizes, low accuracy on edge location, and heavy model parameters. …”
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Advancing Structural Health Monitoring with Deep Belief Network-Based Classification by Álvaro Presno Vélez, Zulima Fernández Muñiz, Juan Luis Fernández Martínez

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Planetary Gearbox Fault Diagnosis based on LMD Sample Entropy and ELM by Zhang Ning, Wei Xiuye, Xu Jinhong

“…In order to solve the difficult problem of early fault feature extraction of planetary gearbox and consider that the planetary gearbox vibration signal is coupling and nonlinear，and the signal has multiple transmission paths，a planetary gearbox fault diagnosis method based on Local Mean Decomposition（LMD） and Sample Entropy and Extreme Learning Machine（ELM） is proposed.Firstly，the vibration signal is adaptively decomposed into a plurality of PF components by LMD，and the first four PF components including the main fault information are selected in combination with the correlation coefficient and the variance contribution rate.Secondly，the Sample Entropy of the signal is calculated to form a feature vector.Finally，the feature vector is input into ELM for fault classification.Experiments are carried out on the planetary gearbox test bench，compared with the probabilistic neural network classification algorithm，and compared with the feature vector based on Singular Value Decomposition （SVD）.The results verify the effectiveness of the proposed method.…”
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Research on coal mine robot positioning algorithm based on integration of ORB-SLAM3 vision and inertial navigation by Wei CHEN, Shuaida WU, Zijian TIAN, Fan ZHANG, Yi LIU

“…After the feature point matching is completed, the RANSAC algorithm is added to remove the mismatched feature points and improve the matching accuracy of the feature points. …”
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