FFL-IDS: A Fog-Enabled Federated Learning-Based Intrusion Detection System to Counter Jamming and Spoofing Attacks for the Industrial Internet of Things by Tayyab Rehman, Noshina Tariq, Farrukh Aslam Khan, Shafqat Ur Rehman

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Prediction of pulmonary embolism by an explainable machine learning approach in the real world by Qiao Zhou, Ruichen Huang, Xingyu Xiong, Zongan Liang, Wei Zhang

“…To address this, we employed an artificial intelligence–based machine learning algorithm (MLA) to construct a robust predictive model for PE. …”
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Political implications of the activities of TNCs: Current trends and impact on the concepts of power, legitimacy and sovereignty by S. Yu. Zaitsev

“…There is thus a pressing need to further study various types of TNCs, their functioning and interactions with individual countries, as well as the impact of new technologies, in particular, artificial intelligence on corporate activities.…”
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Portfolio assessment in AI-enhanced learning environments: a pathway to emotion regulation, mindfulness, and language learning attitudes by Mohamad Ahmad Saleem Khasawneh, Alaa Aladini, Sabah Abdulkader Assi, Bemnet Ajanil

“…Abstract In recent years, the incorporation of artificial intelligence (AI) into instructional settings has sparked important interest in how it can develop different aspects of language learning, principally in the realm of assessment. …”
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A SPOKESPERSON IN THE DIGITAL AGE: TRANSFORMATION, CHALLENGES AND OPPORTUNITIES by Nadiia Bilan, Vitalii Kornieiev, Margaryta Netreba

“…The results of this study should be used to outline the future role of the spokesperson in the context of integrating artificial intelligence and virtual and augmented reality. …”
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Automatic Detection of Railway Faults Using Neural Networks: A Comparative Study of Transfer Learning Models and YOLOv11 by Omar Rodríguez-Abreo, Mario A. Quiroz-Juárez, Idalberto Macías-Socarras, Juvenal Rodríguez-Reséndiz, Juan M. Camacho-Pérez, Gabriel Carcedo-Rodríguez, Enrique Camacho-Pérez

“…Developing reliable railway fault detection systems is crucial for ensuring both safety and operational efficiency. Various artificial intelligence frameworks, especially deep learning models, have shown significant potential in enhancing fault detection within railway infrastructure. …”
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Intrusion detection in metaverse environment internet of things systems by metaheuristics tuned two level framework by Milos Antonijevic, Miodrag Zivkovic, Milica Djuric Jovicic, Bosko Nikolic, Jasmina Perisic, Marina Milovanovic, Luka Jovanovic, Mahmoud Abdel-Salam, Nebojsa Bacanin

“…Conventional security techniques have difficulty countering these evolving threats, highlighting the need for adaptive solutions powered by artificial intelligence (AI). This work seeks to improve trust and security in IoT edge devices integrated in to the Metaverse. …”
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Effect of the Controllers With Control Delay on Vehicle-Guideway Coupling Vibration for Maglev Train at Standing Still by Keren Wang, Weihua Ma, Xiaohao Chen, Ruiming Zou

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Potential value of novel multiparametric MRI radiomics for preoperative prediction of microsatellite instability and Ki-67 expression in endometrial cancer by Zhichao Wang, Yan Hu, Jun Cai, Jinyuan Xie, Chao Li, Xiandong Wu, Jingjing Li, Haifeng Luo, Chuchu He

“…Abstract Exploring the potential of advanced artificial intelligence technology in predicting microsatellite instability (MSI) and Ki-67 expression of endometrial cancer (EC) is highly significant. …”
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Analysis of the Virtual Reality User Experience Improvement Through Human Vision Adjustment Using Diopter Dial by Sungeun Park, Wooksung Kim, Jihyung Kim

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Classification of cervical cancer using Dense CapsNet with Seg-UNet and denoising autoencoders by Hui Yang, Walid Aydi, Nisreen Innab, Mohamed E. Ghoneim, Massimiliano Ferrara

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Improving Telemedicine through IoT and Cloud Computing: Opportunities and Challenges by M. Sunil Kumar, D. Ganesh

“…The reports highlight the necessity of more studies on the integration of artificial intelligence in telemedicine and the adoption of edge computing solutions to overcome cloud-related issues in low-connectivity scenarios. …”
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Правове регулювання цифрової трансформації в Україні: інституційно-технологічні критерії ефективності в умовах європейської інтеграції... by Yu. V. Akulov

“…Визначено необхідність створення спеціалізованих регуляторних органів, зокрема у сфері штучного інтелекту, за аналогією з European Artificial Intelligence Board. Технологічні критерії оцінено через призму Індексу цифрової трансформації регіонів, який демонструє значний прогрес у впровадженні цифрових рішень, особливо у сферах безпаперового документообігу та електронних послуг. …”
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Physics-Based Self-Supervised Grasp Pose Detection by Jon Ander Ruiz, Ander Iriondo, Elena Lazkano, Ander Ansuategi, Iñaki Maurtua

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Advanced zero-optical-distance Mini-LEDs technology with high-luminance composite light-guides for displays by Zhi Ting Ye, Yen Lung Chen, Yu Fu Hsu, Ting Shuo Li, Ku huan Liu, Chun-Nien Liu

“…With the advancement of artificial intelligence technology, there is a growing demand for smart vehicle cockpits. …”
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Intelligent prediction and understanding of self-shrinkage in ultra-high performance concrete based on machine learning by Ji Hao, Wenbin Jiao, Xinpo Xie, Dula Man, Shengwei Huang

“…This study innovatively presents a machine learning framework utilizing advanced artificial intelligence technologies to predict the autogenous shrinkage behavior of ultra-high-performance concrete (UHPC). …”
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A deep learning based model for diabetic retinopathy grading by Samia Akhtar, Shabib Aftab, Oualid Ali, Munir Ahmad, Muhammad Adnan Khan, Sagheer Abbas, Taher M. Ghazal

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Advanced deep learning techniques for recognition of dental implants by Veena Benakatti, Ramesh P. Nayakar, Mallikarjun Anandhalli, Rohit sukhasare

“…Currently, radiographs are the only tools for implant identification which is inherently a complex process, hence the need for implant identification technique. Artificial intelligence capable of analysing images in a radiograph and predicting implant type is an efficient tool. …”
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Enhanced multivariate data fusion and optimized algorithm for comprehensive quality profiling and origin traceability of Chinese jujube by Peng Chen, Xiaoli Wang, Rao Fu, Xiaoyan Xiao, Yu Li, Tulin Lu, Tao Wang, Qiaosheng Guo, Peina Zhou, Chenghao Fei

“…The multivariate statistical analysis and support vector machine (SVM) classification were also combined to develop a novel artificial intelligence algorithm. The accuracy of this innovative method was significantly higher than that of conventional discriminant analysis methods, achieving a perfect 100.0 % accuracy. …”
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Pre-therapeutic efficacy of the CDK inhibitor dinaciclib in medulloblastoma cells by Marta Buzzetti, Sonia Morlando, Dimitrios Solomos, Ammara Mehmood, Alexander W. I. Cox, Mattia Chiesa, Yuri D’Alessandra, Michela Garofalo, Caroline H. Topham, Gianpiero Di Leva

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