Personalized Clustering for Emotion Recognition Improvement by Laura Gutiérrez-Martín, Celia López-Ongil, Jose M. Lanza-Gutiérrez, Jose A. Miranda Calero

“…An initial approach for clustering labeled data compiled (physiological data, together with emotional labels) is presented in this work, as well as the method to ensure the enrollment of new users with unlabeled data once the AI models are generated. …”
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A Method for Constructing a Synthesis Health Index for Metro Vehicle Wheelsets by Min Luo, Tianyi Zhong, Jinzhen Dai

“…The procedural steps describe the detailed process from data collection, preprocessing, and feature extraction to health index construction. …”
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Enhanced method based on virtual registers rotation by Yan PAN, Wei LIN

“…Sematic attacks based on the data flow analysis bring big challenges to the code obfuscation.Concerning the data flow of virtual machine based (VM-based) code protection,the method transfers the mapping relation between the virtual registers and the op-code of the bytecode during executing,which means the uncertainty and complexity of the data flow during interpretive execution of the bytecode.In addition,three policies are proposed to address the problem that how to choose the length of rotation for each bytecode,which grows complexity of the protection.Finally,a prototype of VRR-VM (virtual machine protection system based on virtual registers rotation) was implemented.Experiment results show that the method is effective and applicable for anti-reversing.…”
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Progressive role of artificial intelligence in treatment decision-making in the field of medical oncology by Archana Reddy Bongurala, Dhaval Save, Ankit Virmani

“…Ethical considerations, such as data privacy, algorithmic bias, and explainability, remain critical for responsible AI integration. …”
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A Historical Review of the Technology Used for the Study of Freshness in Red Meats by Julieta Nava-Granados, Maria T. Orvananos-Guerrero, Claudia N. Sanchez, Julieta Dominguez-Soberanes

“…This review provides a comprehensive historical overview of the methods used to assess red meat freshness, including their advantages, limitations, and applications. Furthermore, it discusses state of the art data analysis techniques to enhance detection accuracy, highlighting the potential for industrial implementation and the challenges that must be addressed.…”
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Tachometric Cup Anemometer with Wind Direction Indicator and Fibre-Optic Signal Transmission by Paweł Ligęza, Paweł Jamróz, Katarzyna Socha

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Framing of disaster impact in online news media: a case study from Malawi on flood risk management by Hannah Bailon, Kees Boersma, Claudia Orellana-Rodriguez, Marc Van Den Homberg, Marc Van Den Homberg

“…IntroductionHigh-quality impact data is essential for several applications in disaster risk management including Early Warning Systems. …”
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Interpolation Polynomial Approximation for the Optimal Teaching of Employing Educational Technologies in Traditional Education of Mathematics by Kamal Nozad, Mohsen Rostamy-Malkhalifeh, Mohammad Maghasedi, Hamid Rasouli

“…These two methods were employed for different educational classes in some high schools of Karaj city.  The data acquired were analyzed using data envelopment analysis. …”
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Digital streaming media distribution and transmission process optimisation based on adaptive recurrent neural network by Wenjing Shan

“…This paper proposes a priority-aware streaming media multi-path data scheduling mechanism, which allows applications to distinguish the relative importance of data and ensure that high-priority data is transmitted on the path with the best quality. …”
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OLAP Techniques for Approximation and Mining Query Answering by Murtadaha Hamd, Waleed Hassan

“…The content of a DW is analyzed by the On-Line Analytical Processing (OLAP) applications for the purpose of discovering trends, patterns of behavior, and anomalies as well as finding hidden dependencies between data . …”
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HDFS-oriented cryptographic key resource control mechanism by Wei JIN, Fenghua LI, Mingjie YU, Yunchuan GUO, Ziyan ZHOU, Liang FANG

“…The big data environment presents the characteristics of multi-user cross-network cross-access, multi-service collaborative computing, cross-service data flow, and complex management of massive files.The existing access control models and mechanisms are not fully applicable for big data scenarios.In response to the needs of fine-grained access control and multi-service strategy normalization for cryptographic data in the big data environment, starting from the scene elements and attributes of access control, the HDFS-oriented CKCM was proposed by mapping the cyberspace-oriented access control (CoAC) model.Subsequently, a fine-grained access control management model for HDFS was proposed, including management sub-models and management supporting models.The Z-notation was used to formally describe the management functions and management methods in the management model.Finally, the CKCM system was implemented based on XACML to realize fine-grained secure access control for managing file and secret keys in HDFS.…”
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Artificial Intelligence Techniques With Digital Twin for Fault Diagnosis in Interconnected Systems: A Review by Imen Nakti, Majdi Mansouri, Rami Al-Hmouz, Atef Khedher

“…We focus on developing hybrid Artificial intelligence models that leverage diverse data sources to enhance fault detection and diagnosis, enabling secure and distributed diagnostics. …”
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Innovation and Risk Avoidance of Smart Library Services Based on Generative Artificial Intelligence by Jia LIU

“…The study occupies an important place in the advancement of knowledge in this area and contributes to the development of sustainable, user-centered library services capable of addressing significant contemporary challenges related to information accessibility and data security. [Method/Process] This study uses a systematic literature review and case analysis to examine the current state of generative AI applications in smart libraries. …”
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Efficient Computation of the <italic>K</italic> Nearest Neighbors Query Using Incremental Radius on a <italic>k</italic>&#x00B2;-tree by Rodrigo Torres-Aviles, Monica Caniupan

“…Proximity searches within metric spaces are critical for numerous real world applications, including pattern recognition, multimedia information retrieval, and spatial data analysis, among others. …”
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A Few-Shot Learning-Based Material Recognition Scheme Using Smartphones by Yeonju Kim, Jeonghyeon Yoon, Seungku Kim

“…The existing research on material and object recognition using smartphone vibrations and accelerometers often requires vast amounts of training data for deep learning-based models, making it challenging to apply to real-world applications. …”
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Tensor-Based Uncoupled and Incomplete Multi-View Clustering by Yapeng Liu, Wei Guo, Weiyu Li, Jingfeng Su, Qianlong Zhou, Shanshan Yu

“…Multi-view clustering demonstrates strong performance in various real-world applications. However, real-world data often contain incomplete and uncoupled views. …”
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An Integrated Method for High-Dimensional Imbalanced Assembly Quality Prediction Supported by Edge Computing by Yixiong Feng, Tianyue Wang, Bingtao Hu, Chen Yang, Jianrong Tan

“…One of the most important applications is helping factory managers predict the quality of assembled products. …”
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Harnessing AI-Powered Genomic Research for Sustainable Crop Improvement by Elżbieta Wójcik-Gront, Bartłomiej Zieniuk, Magdalena Pawełkowicz

“…Despite these advancements, challenges remain, including fragmented data sources, variability in phenotyping protocols, and data ownership concerns. …”
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Novel Deep Learning-Based Facial Forgery Detection for Effective Biometric Recognition by Hansoo Kim

“…Furthermore, a binary classification approach combined with supervised contrastive learning addresses data imbalance and strengthens generalization capabilities. …”
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A sparse tensor generator with efficient feature extraction by Tugba Torun, Ameer Taweel, Didem Unat

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