Live Broadcasting of High Definition Audiovisual Content Using HDTV over Broadband IP Networks by C. E. Vegiris, K. A. Avdelidis, C. A. Dimoulas, G. V. Papanikolaou

“…The implemented system was successfully applied in real-world applications, such as the transmission of cultural events from Thessaloniki Concert Hall throughout Greece as well as the reproduction of Philadelphia Orchestra performances (USA) via Internet2 and GEANT backbones.…”
Get full text

Blind Corner Propagation Model for IEEE 802.11p Communication in Network Simulators by Sanchai Jaktheerangkoon, Kulit Na Nakorn, Kultida Rojviboonchai

“…Thus, in this paper, we conducted the real-world experiments of IEEE 802.11p in order to construct the model to describe the characteristics of the IEEE 802.11p communication at the blind corners. …”
Get full text

The Coral Reefs Optimization Algorithm: A Novel Metaheuristic for Efficiently Solving Optimization Problems by S. Salcedo-Sanz, J. Del Ser, I. Landa-Torres, S. Gil-López, J. A. Portilla-Figueras

“…The obtained results confirm the excellent performance of the proposed algorithm and open line of research for further application of the algorithm to real-world problems.…”
Get full text

Relationship of Middle School Student STEM Interest to Career Intent by Rhonda Christensen, Gerald Knezek

“…Data were gathered from more than 800 middle school students participating in a hands-on, real world application curriculum to examine the relationship of the students’ interest in STEM and their intentions to pursue a career in a STEM field. …”
Get full text

A Game Theory-Based Analysis of Data Privacy in Vehicular Sensor Networks by Yunhua He, Limin Sun, Weidong Yang, Hong Li

“…Through the analysis results on real-world traffic data, we show that more inserted bogus traces or deleted recorded samples show a better performance when the cost of defense measures is small, whereas doing nothing becomes the best strategy when the cost of defense measures is very large. …”
Get full text

Survey on vertical federated learning: algorithm, privacy and security by Jinyin CHEN, Rongchang LI, Guohan HUANG, Tao LIU, Haibin ZHENG, Yao CHENG

“…., model parameters, parameter gradients, embedding representation, etc.） applied to data distributed across various institutions.FL reduces the risk of privacy leakage, since raw data is not allowed to leave the institution.According to the difference in data distribution between institutions, FL is usually divided into horizontal federated learning （HFL）, vertical federated learning （VFL）, and federal transfer learning （TFL）.VFL is suitable for scenarios where institutions have the same sample space but different feature spaces and is widely used in fields such as medical diagnosis, financial and security of VFL.Although VFL performs well in real-world applications, it still faces many privacy and security challenges.To the best of our knowledge, no comprehensive survey has been conducted on privacy and security methods.The existing VFL was analyzed from four perspectives: the basic framework, communication mechanism, alignment mechanism, and label processing mechanism.Then the privacy and security risks faced by VFL and the related defense methods were introduced and analyzed.Additionally, the common data sets and indicators suitable for VFL and platform framework were presented.Considering the existing challenges and problems, the future direction and development trend of VFL were outlined, to provide a reference for the theoretical research of building an efficient, robust and safe VFL.…”
Get full text

Cauchy–Logistic Unit Distribution: Properties and Application in Modeling Data Extremes by Vladica S. Stojanović, Tanja Jovanović Spasojević, Radica Bojičić, Brankica Pažun, Zlatko Langović

“…Finally, the application of the proposed distribution in stochastic modeling of some real-world data with emphasized extreme values is provided.…”
Get full text

Instrumental Competence Development of Internship Students in English Translation and Interpreting Department by Hüsna Ekşioğlu

“…The study underscores the importance of internships in advancing instrumental competence, suggesting that hands-on experience with industry-standard tools is essential for students' success in the field, ensuring they are adequately prepared for real-world challenges.…”
Get full text

A Hybrid BSC-DEA Model with Indeterminate Information by Mohammad Jaberi Hafshjani, Seyyed Esmaeil Najafi, Farhad Hosseinzadeh Lotfi, Seyyed Mohammad Hajimolana

“…The combination of these two techniques is a significant quantitative measurement with respect to the organization’s performance. However, in the real world, determinate and indeterminate information exists. …”
Get full text

Fuzzy Aspect Based Opinion Classification System for Mining Tourist Reviews by Muhammad Afzaal, Muhammad Usman, A. C. M. Fong, Simon Fong, Yan Zhuang

“…We conducted experiments on real world datasets to evaluate the effectiveness of our proposed system. …”
Get full text

Fusing Depth and Silhouette for Scanning Transparent Object with RGB-D Sensor by Yijun Ji, Qing Xia, Zhijiang Zhang

“…Experiments validate that our approach can improve the 3D model of transparent object in real-world scene. Our system is time-saving, robust, and without any interactive operation throughout the process.…”
Get full text

Composite Bayesian Optimization in function spaces using NEON—Neural Epistemic Operator Networks by Leonardo Ferreira Guilhoto, Paris Perdikaris

“…By comparing our approach to other state-of-the-art methods on toy and real world scenarios, we demonstrate that Neon achieves state-of-the-art performance while requiring orders of magnitude less trainable parameters.…”
Get full text

Bayesian inference for the parameters of the generalized logistic distribution under a combined framework of generalized type-I and type-II hybrid censoring schemes with applicatio... by Mustafa M. Hasaballah, Oluwafemi Samson Balogun, M. E. Bakr

“…The paper also includes a comprehensive analysis of real-world datasets and simulation experiments to validate the proposed methodologies. …”
Get full text

Effective First-Break Picking of Seismic Data Using Geometric Learning Methods by Zhongyang Wen, Jinwen Ma

“…It is interpretable, and its effectiveness and robustness are demonstrated by the experiments on real world seismic data. We further investigate three schemes of combining it with human interaction, which is shown to be highly useful in assisting data annotation or correcting picking errors. …”
Get full text

Evolutionary Computation with Spatial Receding Horizon Control to Minimize Network Coding Resources by Xiao-Bing Hu, Mark S. Leeson

“…The minimization of network coding resources, such as coding nodes and links, is a challenging task, not only because it is a NP-hard problem, but also because the problem scale is huge; for example, networks in real world may have thousands or even millions of nodes and links. …”
Get full text

Multi-channel spatial-temporal traffic flow prediction based on hybrid static-dynamic graph convolution by Xiongtao ZHANG, Jingyu ZHENG, Qing SHEN, Danfeng SUN, Yunliang JIANG

“…Aiming at the problem that the traffic flow prediction model did not consider the correlation of road context and the dynamics of spatial dependency, a multi-channel spatial-temporal traffic flow prediction based on hybrid static-dynamic graph convolution (MHGCN) was proposed.A sandwich structure (i.e.multi-channel spatial module in the middle and temporal module on both sides) was used in the model to extract spatial-temporal features, and the multi-channel spatial module was divided into static graph convolution module and dynamic graph convolution module.The static graph convolution module simultaneously extracted specific and common features from topological spatial structures, semantic spatial structures, and their combinations.The dynamic graph convolution module assigned different weights to different features and extracts dynamic spatial features from unknown graph structures.In the temporal module, the multi-head attention mechanism was used to extract the global temporal features, and the temporal gating mechanism extracted the local temporal features.The model extracted spatial information from different spatial structures and temporal information from different time intervals to establish a global and comprehensive spatial-temporal relationship.The experimental results show that the MHGCN performs better than the existing traffic flow prediction models on four real world traffic flow datasets.…”
Get full text

News Recommendation Method Based on Candidate-Aware Long- and Short-Term Preference Modeling by Shuhao Jiang, Haoran Song, Yizi Lu, Zhixin Zhang

“…In this network, the dynamic impact of candidate news on short-term user preferences is considered. Results on real-world datasets demonstrate the effectiveness of our proposed method in improving the performance of news recommendations. …”
Get full text

Comprehensive dataset for fault detection and diagnosis in inverter-driven permanent magnet synchronous motor systemszenodo by Abdelkabir Bacha, Ramzi El Idrissi, Khalid Janati Idrissi, Fatima Lmai

“…Despite the increasing significance of AI-driven FDD techniques, the domain suffers from a lack of publicly accessible, real-world datasets for algorithm development and evaluation. …”
Get full text

Powering perception, echoing green voices: The interplay of Cryptocurrency's energy footprint and environmental discourse in steering the direction of the market by Iheb Ghazouani, Ines Ghazouani, Abdelwahed Omri

“…This indicates that crypto market investors prioritize real-world indicators over information from social media discussions. …”
Get full text

Architectural planning robot driven by unsupervised learning for space optimization by Zhe Zhang, Yuchun Zheng

“…Experiments conducted on multiple 3D datasets demonstrate the effectiveness of the proposed approach in achieving optimized space layouts with reduced computational requirements.Results and discussionThe results show significant improvements in layout efficiency and processing time compared to traditional methods, indicating the potential for real-world applications in automated architectural planning and dynamic space management. …”
Get full text