Predicting age at first calving of dairy breed calves using whale optimization-based ensemble learning framework by Tewodros Shekure, Hussien Seid Worku, Sudhir Kumar Mohapatra, Tapan Kumar Das

“…Next, Whale optimization technique is used to select the optimized features of the dataset. Furthermore, an ensemble of SVR, LSVR, NuSVR is designed, and the framework is trained by optimized features of data. …”
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ANALYSIS OF TYPICAL NETWORK ATTACKS ON AUTOMATED SYSTEMS OF INTERNAL AFFAIRS DEPARTMENTS by I. G. Drovnikova, Е. S. Ovchinnikova, V. V. Konobeevsky

“…The method for solving this problem consists in a comprehensive analysis of the process of implementing network attacks on automated systems when they are used in secure mode in the informatisation facilities of internal affairs bodies.Results. …”
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Solar Wind Speed Prediction via Graph Attention Network by Yanru Sun, Zongxia Xie, Haocheng Wang, Xin Huang, Qinghua Hu

“…First, our framework considers each feature as the node to construct the graph structure and adopts the graph attention module to learn the complex dependencies among features. …”
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Characterization of Laser-Ablated Bound Metal Deposition (laBMD) by Alexander Watson, Masoud Rais-Rohani, John Belding, Jasper McGill, Brett D. Ellis

“…Additive manufacturing of metals is limited by a fundamental tradeoff between deposition rates and manufacturability of fine-scale features. To overcome this problem, a laser-ablated bound metal deposition (laBMD) process is demonstrated in which 3D-printed green-state bound metal deposition (BMD) parts are post-processed via laser ablation prior to conventional BMD debinding and sintering. …”
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Research on Multi-Scale Point Cloud Completion Method Based on Local Neighborhood Dynamic Fusion by Yalun Liu, Jiantao Sun, Ling Zhao

“…However, in the current 3D completion task, it is difficult to effectively extract the local details of an incomplete one, resulting in poor restoration of local details and low accuracy of the completed point clouds. To address this problem, this paper proposes a multi-scale point cloud completion method based on local neighborhood dynamic fusion (LNDF: adaptive aggregation of multi-scale local features through dynamic range and weight adjustment). …”
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Information-extreme machine learning of wrist prosthesis control system based on the sparse training matrix by Suprunenko M. K., Zborshchyk O. P., Sokolov O.

“…The article considers the problem of machine learning of a wrist prosthesis control system with a non-invasive biosignal reading system. …”
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Online Semisupervised Learning Approach for Quality Monitoring of Complex Manufacturing Process by Weng Weiwei, Mahardhika Pratama, Andri Ashfahani, Edward Yapp Kien Yee

“…Furthermore, it is equipped by a feature extraction layer in terms of 1D convolutional layer extracting natural features of multivariate time-series data samples of sensors and coping well with the many-to-one label relationship, a common problem of practical quality monitoring. …”
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I2DNet - Design and real-time evaluation of an appearance-based gaze estimation system by L R D Murthy, Siddhi Brahmbhatt, Somnath Arjun, Pradipta Biswas

“…Gaze estimation problem can be addressed using either model-based or appearance-based approaches. …”
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Prefixal Innovations as a Mean of Psychological Impact on Consciousness Ofrecipient by Nataliia Kostusiak, Oleksandr Mezhov

“…The article characterizes structural and derivation features of innovations, which have enriched language system during the beg inning of the XXI century and are presented in Ukrainian media text. …”
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MEIS-YOLO: Improving YOLOv11 for efficient aerial object detection with lightweight design by Yicheng Liu, Jinsong Wu, Li Chen

“…To further optimize multi-scale feature fusion, this paper introduces the asymptotic feature pyramid network. …”
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Psychological Stress Detection Using Transformer-Based Models by Derwin Suhartono, Irfan Fahmi Saputra, Andhika Rizki Pratama, Gabriel Nathaniel

“…This process ensured the model’s effectiveness in the training and evaluation stages. The features used in these experiments were features from each pre-trained model. …”
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High-Risk Test Scenario Generation for Autonomous Vehicles at Roundabouts Using Naturalistic Driving Data by Dian Ren, Helai Huang, Ye Li, Jieling Jin

“…The TimeGAN model effectively captures the spatial–temporal features of merging scenarios, generating high-quality data that enhance the testing scenario library. …”
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Neural Personalized Ranking via Poisson Factor Model for Item Recommendation by Yonghong Yu, Li Zhang, Can Wang, Rong Gao, Weibin Zhao, Jing Jiang

“…However, most of existing methods simplify the implicit frequency feedback to binary values, which make collaborative filtering unable to accurately learn the latent user and item features. Moreover, the traditional collaborating filtering methods generally use the linear functions to model the interactions between latent features. …”
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Hybrid chaotic firefly decision making model for Parkinson’s disease diagnosis by Sujata Dash, Ajith Abraham, Ashish Kr Luhach, Jolanta Mizera-Pietraszko, Joel JPC Rodrigues

“…The experimental study of the problem established that chaos-based logistic model overshadowed other chaotic models. …”
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BMS symmetries of gravitational scattering by Xavier Kervyn

“…Next, we apply this knowledge to the usual far-field scattering problem in general relativity, which leads to the unravelling of the intrinsic features of gravity in the infrared. …”
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ETHNIC COMPOSITION OF TERRITORIES AND THE UNIFIED STATE EXAMINATION RESULTS by L. M. Nurieva, S. G. Kiselev

“…This is mainly due to socio-economic, demographic, national-cultural and other features of the development of the territories. Therefore, an assessment of the quality of the work of the education system in the field should be carried out taking into account the available resources and conditions of school activities. …”
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DIDACTIC PRINCIPLES OF THE FORMATION OF STUDENTS’ SUBJECT POSITION by R. M. Garanina

“…The concept «student’s subject position» is redefined; the concept includes such features as polysystemacity, multidimensionality, and multi-functionality. …”
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Legal aspects of relations between the Crimean Khanate and the Ottoman Empire in views of European contemporaries. Pt. 1: Study of sources of 16th–17th cc. by Roman Pochekaev

“…The problem of legal status of the Crimean Khanate towards the Ottoman Empire attracts substantial attention of scholars and stimulates lively discussions between adherents and opponents of idea on the vassalage of Crimea. …”
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A multi-domain collaborative denoising bearing fault diagnosis model based on dynamic inter-domain attention mechanism and noise-aware loss function. by Weilin Cao, Liqiang Zhang

“…First, the model extracts high-dimensional features of bearing fault signals from multiple domains, such as time and frequency domains, aiming to enhance the richness and diversity of high-dimensional features to effectively suppress noise interference on the diagnostic results. …”
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MATHEMATICAL MODELS OF THE RADAR SIGNAL REFLECTED FROM A HELICOPTER MAIN ROTOR IN APPLICATION TO INVERSE SYNTHESIS OF ANTENNA APERTURE by Sergey R. Heister, Thai T. Nguyn

“…The basis for solving the problem of aircraft recognition is the formation of radar portraits, reflecting the constructive features of aerial vehicles. …”
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