A Novel Hierarchical Multimodal Recommender With Enhanced Global Collaborative Signals by Peng Yi, Lu Chen, Zhaoxian Li, Cheng Yang

“…Multimodal recommender systems leverage auxiliary item features, such as images and descriptions, to alleviate the data sparsity problem and facilitate the preference modeling process. …”
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Can machine learning distinguish between elite and non-elite rowers? by Orten Kristine Fjellkårstad, Helgesen Sander Elias Magnussen, Chen Bihui, Baselizadeh Adel, Torresen Jim, Herrebrøden Henrik

“…The MLP model achieved an accuracy of 100% when using all input features, indicating that the problem is suitable as a machine learning task. …”
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Directions and methods of work of law officers and psychologists with delinquent teenage girls by Pivkach Iryna

“…Delinquency is a multifaceted and complex problem, today its forms and manifestations are particularly acute in a number of negative factors that hinder the development of our society, so there is an objective need for its prevention in modern conditions. …”
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System Eliminating Emergency Discharges in Industrial Facilities Waste Waters Using Relative Signal Description by V. A. Alekseev, S. I. Yuran, V. P. Usoltsev, D. N. Shulmin

“…Thus, detecting these coagulates in real-time is a relevant problem.To solve this problem, the authors suggest building an automated system that shall record and identify the emergency harmful substances discharges to the industrial companies waste waters caused by accidents. …”
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Similarity based city data transfer framework in urban digitization by Haoxiang Wang, Xiaoping Che, Enyao Chang, Chenxin Qu, Ganghua Zhang, Zihan Zhou, Zhenlin Wei, Gengyu Lyu, Pengfei Li

“…Abstract Cross-city transfer learning aims to apply the knowledge and model from data-rich cities to data-poor cities to solve the cold start problem. Existing methods directly transfer the model constructed from developed cities to underdeveloped cities without considering the similarity between them, which leads to a potential transfer mismatch problem, and in turn, decreases the performance of transfer results. …”
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Efficient Equivalence Checking Technique for Some Classes of Finite-State Machines by Vladimir A. Zakharov

“…It is shown that the equivalence problem for deterministic two-tape finite automata can be reduced to the same problem for prefix-free finite transducers and solved in cubic time relative to the size of the analysed machines.4.            …”
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Polska produkcja filmowa po roku 2005 w perspektywie badań ilościowych by Anna Wróblewska

“…The number of Polish feature films increased from 20-25 in2000-2005 to 40-55 in2007-2011.  …”
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Optical fiber eavesdropping detection method based on machine learning by Xiaolian CHEN, Yi QIN, Jie ZHANG, Yajie LI, Haokun SONG, Huibin ZHANG

“…Optical fiber eavesdropping is one of the major hidden dangers of power grid information security,but detection is difficult due to its high concealment.Aiming at the eavesdropping problems faced by communication networks,an optical fiber eavesdropping detection method based on machine learning was proposed.Firstly,seven-dimensions feature vector extraction method was designed based on the influence of eavesdropping on the physical layer of transmission.Then eavesdropping was simulated and experimental feature vectors were collected.Finally,two machine learning algorithms were used for classification detection and model optimization.Experiments show that the performance of the neural network classification is better than the K-nearest neighbor classification,and it can achieve 98.1% eavesdropping recognition rate in 10% splitting ratio eavesdropping.…”
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Milling Tool Wear State Recognition by Vibration Signal Using a Stacked Generalization Ensemble Model by Yang Hui, Xuesong Mei, Gedong Jiang, Tao Tao, Changyu Pei, Ziwei Ma

“…In this study, vibration signals collected during the milling process are analyzed through the time domain, frequency domain, and time-frequency domain to extract signal features. The support vector machine recursive feature elimination (SVM-RFE) algorithm is used to select the main features which are most relevant to tool wear states. …”
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DDANet: A deep dilated attention network for intracerebral haemorrhage segmentation by Haiyan Liu, Yu Zeng, Hao Li, Fuxin Wang, Jianjun Chang, Huaping Guo, Jian Zhang

“…Additionally, the authors incorporate a self‐attention mechanism to capture global semantic information of high‐level features to guide the extraction and processing of low‐level features, thereby enhancing the model's understanding of the overall structure while maintaining details. …”
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Spectral–spatial mamba adversarial defense network for hyperspectral image classification by Zhongqiang Zhang, Ye Wang, Dahua Gao, Haoyong Li, Guangming Shi

“…Finally, a spectral spatial feature enhancement module is designed to adaptively enhance useful spectral spatial features of HSI. …”
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3D Pulse Image Detection and Pulse Pattern Recognition Based on Subtle Motion Magnification Technology by Chongyang YAO, Yongxin CHOU, Zhiwei LIANG, Haiping YANG, Jicheng LIU, Dongmei LIN

“…On this basis, nine features are extracted from the 3D pulse signals and features selection is performed using a two-sample Kolmogorov-Smirnov test. …”
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Advanced Support Vector Machine- (ASVM-) Based Detection for Distributed Denial of Service (DDoS) Attack on Software Defined Networking (SDN) by Myo Myint Oo, Sinchai Kamolphiwong, Thossaporn Kamolphiwong, Sangsuree Vasupongayya

“…Our detection technique can reduce the training time as well as the testing time by using two key features, namely, the volumetric and the asymmetric features. …”
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Large-Scale Point Cloud Semantic Segmentation with Density-Based Grid Decimation by Liangcun Jiang, Jiacheng Ma, Han Zhou, Boyi Shangguan, Hongyu Xiao, Zeqiang Chen

“…The proposed framework helps alleviate the problem of uneven density distribution and improves computational efficiency. …”
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Numerical Simulation Data-Aided Domain-Adaptive Generalization Method for Fault Diagnosis by Tao Yan, Jianchun Guo, Yuan Zhou, Lixia Zhu, Bo Fang, Jiawei Xiang

“…In order to deal with the cross-domain distribution offset problem in mechanical fault diagnosis under different operating conditions. …”
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SKGRec: A Semantic-Enhanced Knowledge Graph Fusion Recommendation Algorithm with Multi-Hop Reasoning and User Behavior Modeling by Siqi Xu, Ziqian Yang, Jing Xu, Ping Feng

“…A relationship-aware aggregation module is designed to dynamically integrate higher-order relational features in the knowledge graph through the attention scoring function. …”
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SiamCTCA: Cross-Temporal Correlation Aggregation Siamese Network for UAV Tracking by Qiaochu Wang, Faxue Liu, Bao Zhang, Jinghong Liu, Fang Xu, Yulong Wang

“…Its innovative cross-temporal aggregated strategy and three feature correlation fusion networks play a key role, in which the Transformer multistage embedding achieves cross-branch information fusion with the help of the intertemporal correlation interactive vision Transformer modules to efficiently integrate different levels of features, and the feed-forward residual multidimensional fusion edge mechanism reduces information loss by introducing residuals to cope with dynamic changes in the search region; and the response significance filter aggregation network suppresses the shallow noise amplification problem of neural networks. …”
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An Efficient and Fast Model Reduced Kernel KNN for Human Activity Recognition by Zongying Liu, Shaoxi Li, Jiangling Hao, Jingfeng Hu, Mingyang Pan

“…Firstly, kernel method is employed in model KNN, which transforms the input features to be the high-dimensional features. The proposed model KNN with kernel (K-KNN) improves the accuracy of classification. …”
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Interpersonal trust in a couple as a sociocultural value by N. N. Nadezhina

“…The relevance of the research is the need to identify the features of reducing the value of interpersonal trust in a couple, which leads to a decrease in marriage rates among the Russian population.The problem of the research lies in the presence of deviations in interpersonal trust between men and women and the lack of scientifically based information about the attitude of subjects to trust as a sociocultural value, which prevents the development of effective measures to eliminate deviations in the intergender relationships of partners.The aim of the research is to identify the features of interpersonal trust in a couple as a traditional socio-cultural value.The research methods. …”
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ENDNet: Extra-Node Decision Network for Subgraph Matching by Masaki Shirotani, Motoki Amagasaki, Masato Kiyama

“…Specifically, GNNs generate new node features by aggregating information from adjacent nodes, meaning that even if nodes in the query and data graphs start with identical features, the presence of extraneous nodes or edges in the data graph can distort feature representations and hinder accurate matching. …”
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