A Review Investigation of Damage Identification in Structures via Internet of Things by Abolfazl Yosefi, Hamidreza Nasseri

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Predicting Intensive Care Unit Admissions in COVID-19 Patients: An AI-Powered Machine Learning Model by A. M. Mutawa

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Designing an intelligent push model for user emotional topics based on dynamic text categorization in social media news dissemination by Jixuan Wang

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Classifying software security requirements into confidentiality, integrity, and availability using machine learning approaches by Taghreed Bagies

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Development of AI-Based Public Safety System with Face Recognition Using CNN and SVM Models in Real-Time by Naila Ratu Alifa, Yana Cahyana, Rahmat Rahmat, Sutan Faisal

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Evaluating Grayware Characteristics and Risks by Zhongqiang Chen, Zhanyan Liang, Yuan Zhang, Zhongrong Chen

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Leveraging large language models for spelling correction in Turkish by Ceren Guzel Turhan

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A Cluster-Based Data Aggregation in IoT Sensor Networks Using the Firefly Optimization Algorithm by Hassan Sh. Alshehri, Fuad Bajaber

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Adversarial feature learning for semantic communication in human 3D reconstruction by Shaojiang Liu, Jiajun Zou, Zhendan Liu, Meixia Dong, Zhiping Wan

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Personalized Recommendation Model Based on Improved GRU Network in Big Data Environment by Hui Guo, Zheng Guo, Zhihong Liu

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Enhancing Analytical Precision in Company Earnings Reports through Neurofuzzy System Development: A Comprehensive Investigation by Bakhyt Matkarimov, Alibek Barlybayev, Didar Karimov

“…This results leads to a hypothesis for further research, suggesting that report indicators may be processed by computational algorithms, potentially including artificial intelligence (AI). …”
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Stability Properties of Network Diversity Multiple Access with Multiple-Antenna Reception and Imperfect Collision Multiplicity Estimation by Ramiro Samano-Robles, Atilio Gameiro

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Flexible and high‐throughput structures of Camellia block cipher for security of the Internet of Things by Bahram Rashidi

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Design and Analysis of an Expert System for the Detection and Recognition of Criminal Faces by Rishi Gupta, Amit Kumar Gupta, Deepak Panwar, Ashish Jain, Partha Chakraborty

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YOLOv8-POS: a lightweight model for coal-rock image recognition by Yanqin Zhao, Wenyu Wang

“…The methodology introduces a C2f-PConv module, which ingeniously combines the strengths of C2f and partial convolution (PConv) to selectively process channels. This reduces unnecessary computational overhead while preserving the integrity of critical feature information, thus significantly cutting down on the model’s parameters and computational demands. …”
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Application of Fuzzy-RBF-CNN Ensemble Model for Short-Term Load Forecasting by Mohini Yadav, Majid Jamil, Mohammad Rizwan, Richa Kapoor

“…The predictions made from RBFNNs have been computed and produced as the forecast of each activated cluster. …”
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Augmented Reality Development for Creating Interactive Experiences in Tourism Places by Caraka Aji Pranata, Muhammad Fairul Filza, Miquel Jan Tanudidjaja

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Decision Support System for Electric Vehicles Selection Using Simple Additive Weighting by Thomas Christian Suwanto, Steven Koloay, Angelia Melani Adrian

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Laplace Graph Embedding Class Specific Dictionary Learning for Face Recognition by Li Wang, Yan-Jiang Wang, Bao-Di Liu

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Siamese meta-learning network for social disputes based on multi-head attention by Jing Wang, Rui Zhang, Huijian Han, Yuxiang Liu, Zhaoxing Peng

“…Although the Siamese network has achieved good results in some applications, there are still some problems: (1) When computing prototype vectors with external knowledge of class labels, it depends on the quality and correctness of class labels. (2) When processing data, the Siamese network is not sufficient to capture dependencies between long distance. (3) When the data is complex or the samples are unbalanced, the Siamese network does not achieve the best performance. …”
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