Behavior modeling for a new flexure-based mechanism by Hunger Game Search and physics-guided artificial neural network by Hieu Giang Le, Thanh-Phong Dao, Minh Phung Dang, Thao Nguyen-Trang

“…In the field of compliant mechanism modeling, there has been no research interested in applying meta-heuristics optimization algorithms to optimize the weights and biases of the neural network globally. …”
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SpaceRL — A reinforcement learning-based knowledge graph driver by Miguel Bermudo, Daniel Ayala, Inma Hernández, David Ruiz, Miguel Toro

“…The generation of such agents is a complex task, even more so for a non-expert user.SpaceRL is meant to overcome these limitations by providing a flexible set of tools designed with a wide variety of customization options, in order to adapt to different users’ needs, while also including a variety of state-of-the-art RL algorithms and several embedding models that can be combined to optimize the agents performance. …”
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Machine Learning-Based Seismic Response Prediction for Nuclear Power Plant Structures Considering Aging Deterioration by Hyunsu Kim, Soyeon Lee, Junsu Jang, Sihyeon An

“…Consequently, this study also explored the possibility of reducing the minimum required database size and the prediction performance through input dimension reduction of the ML model. …”
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A data-driven spatial-temporal model for prediction of tunnel deformation by Ziyi Zhang, Han Zhang, Cong Du, Mingzhao Wei, Xiaochao Wang, Jianqing Wu

“…The results show that the proposed model significantly outperforms other algorithms, including GRU, TCN, ChebNet, GCN, GAT, and GAT-TCN, in terms of prediction accuracy. …”
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Accelerated Adoption of Google Earth Engine for Mangrove Monitoring: A Global Review by K. M. Ashraful Islam, Paulo Murillo-Sandoval, Eric Bullock, Robert Kennedy

“…Our analysis reveals a noteworthy yearly increase in GEE-driven mangrove studies but also identifies geographic imbalances, with several high-mangrove-density countries remaining underrepresented. …”
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Doodle.AI: Redefining creative play with human-AI competition in real-time doodle recognition by Ishan Panta, Biplov Paneru, Bishwash Paneru, Bipul Thapa

“…The AI component not only adds challenge and thrill but also demonstrates the capability of machine learning in interactive gaming. …”
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Credit Scoring on Cash Flow Table with Machine Learning: XGBoost Approach by Güner Altan, Server Demirci

“…This ability to distinguish not only increases banks’ profitability but also increases their competitiveness in the market. …”
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Description of route dependencies for computer-based railway signalling systems by Michał Grzybowski, Jakub Młyńczak, Lucyna Sokołowska

“…In addition, during research algorithms for automatic verification of conflicting route exclusion correctness have been designed, which allows for reduction of effort required for verification of conflicting route exclusion function. …”
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AI-Aided Proximity Detection and Location-Dependent Authentication on Mobile-Based Digital Twin Networks: A Case Study of Door Materials by Woojin Park, Hyeyoung An, Yongbin Yim, Soochang Park

“…This is because of not only the avoidance of face-to-face communication due to safety and health concerns but also the difficulty of matching up the online user using mobiles with the real person in the physical world. …”
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Effects of digital badges on pupils' computational thinking and learning motivation in computer science by Yuhan Dong, Hongliang Ma, Hongying Li, Bin Jing, Hongchao Liu

“…Computational thinking (CT) is regarded as the conceptual basis required for identifying and solving real-world problems through algorithmic approaches to achieve transferable solutions. …”
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A Review of Optimization Scheduling for Active Distribution Networks with High-Penetration Distributed Generation Access by Kewei Wang, Yonghong Huang, Yanbo Liu, Tao Huang, Shijia Zang

“…Meanwhile, given the promising prospects of large-scale deep reinforcement learning models in the power sector, their applications in ADN optimization dispatch are also reviewed. Finally, the paper outlines potential future research directions for ADN optimization dispatch.…”
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Artificial Intelligence and ECG: A New Frontier in Cardiac Diagnostics and Prevention by Dorota Bartusik-Aebisher, Kacper Rogóż, David Aebisher

“…Regulatory, technical, and ethical challenges are also discussed, along with the issue of limited clinical evidence. …”
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Unsupervised Class Generation to Expand Semantic Segmentation Datasets by Javier Montalvo, Álvaro García-Martín, Pablo Carballeira, Juan C. SanMiguel

“…Our approach aims to improve the performance of unsupervised domain adaptation methods by introducing novel samples into the training data without modifications to the underlying algorithms. With our methods, we show how models can not only effectively learn how to segment novel classes, with an average performance of 51% intersection over union for novel classes, but also reduce errors for other, already existing classes, reaching a higher performance level overall.…”
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Feature Augmentation of Classifiers Using Learning Time Series Shapelets Transformation for Night Setback Classification of District Heating Substations by Fan Zhang, Chris Bales, Hasan Fleyeh

“…From the literature, shapelets algorithms not only provide interpretable results but also proved to be effective in time series classification. …”
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USE OF HIGH-DEFINITION IMAGING FLOW CYTOMETRY AND A.I. TO ENUMERATE AND CHARACTERISE CIRCULATING TUMOUR CELLS

“…In our clinical samples we have used pan-cytokeratin staining to differentiate CTCs from CD45 positive WBCs. We have also used brightfield imaging to capture the cell morphology, as well as DRAQ5™ a general nuclear stain. …”
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Cancer-Associated Fibroblast Risk Model for Prediction of Colorectal Carcinoma Prognosis and Therapeutic Responses by Yan Wang, Zhengbo Chen, Gang Zhao, Qiang Li

“…In this study, we used multiple algorithms to reveal CAF-related genes in the Gene Expression Omnibus and The Cancer Genome Atlas datasets and construct a risk model composed by prognostic CAF-associated genes. …”
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soundscape_IR: A source separation toolbox for exploring acoustic diversity in soundscapes by Yi‐Jen Sun, Shih‐Ching Yen, Tzu‐Hao Lin

“…This toolbox provides algorithms for supervised and unsupervised source separation (SS). …”
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Fusion of satellite-ground and inter-satellite AKA protocols for double-layer satellite networks by Jin CAO, Xiaoping SHI, Ruhui MA, Hui LI

“…With the characteristics of large space-time and satellite-ground network integration, the space integrated ground network has attracted much attention.Satellites can not only be used as emergency communication supplements, but also serve as air stations to expand the coverage of terrestrial networks, occupying an important position in both military and civilian scenarios.The entity authentication and key negotiation mechanism can prevent the malicious entities from joining the integrated network to steal users’ privacy, and guarantee network information security.In view of the characteristics of the high satellite-ground transmission delays, exposed links, limited processing capability and dynamic topology of the integrated network, a lightweight authentication scheme between satellites and ground suitable for double-layer satellite network was proposed to achieve a secure satellite networking architecture with session keys to protect data transmission.The scheme was based on symmetric cryptographic system, using lightweight cryptographic algorithms and introducing group key and hierarchical management mechanisms.The proposed scheme included three parts: inter-satellite authentication for geostationary earth orbit satellites, layer and inter-satellite authentication for same low earth orbit, and inter-satellite authentication for adjacent low earth orbit satellites.The group key and hierarchical management mechanism improved the efficiency of inter-group information transfer, reduced the authentication pressure on the ground control center, and enhanced the authentication security strength by realizing double verification in the three-entities authentication protocol.Different from the previous single scene authentication, the proposed authentication protocol took the form of multiplexing authentication parameters, which can realize the authentication requirements of dual scenes in one process.The results of Scyther, a protocol formal security simulation tool, show that the proposed scheme achieves secure access authentication.Compared with existing protocols, the proposed scheme improves authentication security and reduces communication and computational overhead.…”
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Service recommendation method based on text view and interaction view by Ting Yu, Yaqi Wang, Fangying Cheng, Tian Liang, Hongbing Liu

“…This approach not only meets the needs of developers but also is cost-effective and widely used in the field of software development. …”
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A Novel Method for the Estimation of Sea Surface Wind Speed from SAR Imagery by Zahra Jafari, Pradeep Bobby, Ebrahim Karami, Rocky Taylor

“…Wind is one of the important environmental factors influencing marine target detection as it is the source of sea clutter and also affects target motion and drift. The accurate estimation of wind speed is crucial for developing an efficient machine learning (ML) model for target detection. …”
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