DGFEG: Dynamic Gate Fusion and Edge Graph Perception Network for Remote Sensing Change Detection by Shengning Zhou, Genji Yuan, Zhen Hua, Jinjiang Li

“…In experiments, DGFEG was tested on real-world change scenarios and multiple RSCD datasets. …”
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Effectiveness of Centrality Measures for Competitive Influence Diffusion in Social Networks by Fairouz Medjahed, Elisenda Molina, Juan Tejada

“…We perform an empirical study in a two-player game under the competitive independent cascade model with three different seed-tie-breaking rules using four real-world SNs. The objective is to compare the performance of centrality-based strategies with some state-of-the-art algorithms used in the non-competitive influence maximization problem. …”
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Enhancing Vehicular Network Efficiency: The Impact of Object Data Inclusion in the Collective Perception Service by Andreia Figueiredo, Pedro Rito, Miguel Luis, Susana Sargento

“…This optimization not only reduces the need for constant CPM generation, but also maximizes the efficiency of information exchange. Using real-world vehicular data, this approach’s effectiveness in improving the Collective Perception Service (CPS) is demonstrated, showing a significant improvement when compared to traditional CPS standard: the proposed algorithm is capable of transmitting 14% more object information while using 2.6% fewer bytes. …”
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Frequency and Texture Aware Multi-Domain Feature Fusion for Remote Sensing Scene Classification by Russo Ashraf, Kang-Hyun Jo

“…Finally, ESIF exemplifies an optimal accuracy-efficiency trade-off, supporting its suitability for deployment in real-world applications.…”
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Tocilizumab, an Exploratory Treatment for Severe COVID-19 Patients by Yong Wang, Yongfeng Chen, Xiangdong Zhou

“…Tocilizumab (TCZ), a monoclonal antibody that targets the interleukin-6 (IL-6) receptor, was approved as an alternative treatment for severe COVID-19 patients despite limited real-world clinical data in China. In the present study, we will discuss and evaluate the treatment response of TCZ therapy in patients with COVID-19. …”
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Intelligent Electronic Device-in-the-Loop: A Real-Time Simulation as Modern Educational Aid by Francisco Gonzalez-Longatt, LE Nam Hai Pham

“…This concept helps students gain a basic understanding of real-world devices through laboratory experiments, paving the way for future power engineers. …”
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Introducing the non-invasive prenatal test for trisomy 21 in Belgium: a cost-consequences analysis by Mattias Neyt, Frank Hulstaert, Wilfried Gyselaers

“…The objective is to estimate the consequences of introducing NIPT for the detection of T21.Methods A cost-consequences analysis was performed presenting the impact on benefits, harms and costs. Context-specific real-world information was available to set up a model reflecting the current screening situation in Belgium. …”
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IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition by George Karantaidis, Athanasios Pantsios, Ioannis Kompatsiaris, Symeon Papadopoulos

“…Deep learning techniques have achieved significant success in Synthetic Aperture Radar (SAR) target recognition using predefined datasets in static scenarios. However, real-world applications demand that models incrementally learn new information without forgetting previously acquired knowledge. …”
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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

“…A thorough analysis utilizing a real-world IoT network attacks dataset validates the proposed architecture’s efficacy in identification of the specific variants of malevolent assaults, that is a classic multi-class classification challenge. …”
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Towards Privacy-Aware and Trustworthy Data Sharing Using Blockchain for Edge Intelligence by Youyang Qu, Lichuan Ma, Wenjie Ye, Xuemeng Zhai, Shui Yu, Yunfeng Li, David Smith

“…Extensive experiments and analysis on real-world datasets have testified the proposed model, and achieved better performance compared with existing research from perspectives of privacy protection and effectiveness.…”
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Enhancing Adversarial Transferability With Intermediate Layer Feature Attack on Synthetic Aperture Radar Images by Xuanshen Wan, Wei Liu, Chaoyang Niu, Wanjie Lu, Yuanli Li

“…Existing SAR adversarial attack algorithms require access to the network structure, parameters, and training data, which are often inaccessible in real-world scenarios. To address this problem, this study proposes an intermediate layer feature attack algorithm that does not rely on training data for the adversary model. …”
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The effectiveness of teaching methods for preparing teacher education students to teach road safety-related content by Silke von Beesten, André Bresges

“…The model employs a holistic and interdisciplinary approach to foster safety awareness during teacher training and to prevent accidents effectively.MethodsThe teaching approach combines theoretical concepts of traffic physics with real-world applications. Schools serve as testing grounds where prospective teachers conduct traffic analyses, identify hazardous zones, and examine physical laws such as traffic density and speed patterns, alongside psychological aspects like behavioral deviations. …”
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Comparison of Symmetric and Asymmetric Copper Tubing Designs for Improved Cooling in PV/T Systems by Riad Ayoub, Amiry Houssam, Touhtouh Samira, Belhora Fouad, Hajjaji Abdelowahed

“…The results of this study provide valuable insights into the design of efficient cooling systems for PV/T modules, helping to strike a balance between electrical and thermal performance in real-world applications.…”
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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

“…In particular, it has been announced that the VR experience highly depends on the user’s field of vision because it blocks the user’s view of the real world and transmits information exclusively in the virtual world. …”
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Implementation strategies to increase human papillomavirus vaccination uptake for adolescent girls in sub-Saharan Africa: A scoping review protocol. by Mwansa Ketty Lubeya, Mulindi Mwanahamuntu, Carla Chibwesha, Moses Mukosha, Mercy Monde Wamunyima, Mary Kawonga

“…Achieving success for HPV vaccination in real-world settings requires strategies to overcome implementation bottlenecks. …”
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Don’t Cache, Speculate!: Speculative Address Translation for Flash-Based Storage Systems by Hyungjin Kim, Seongwook Kim, Junhyeok Park, Gwangeun Byeon, Seokin Hong

“…Experimental results demonstrate that ASTRO enhances SSD performance by an average of 80% and 34% for synthetic random read workloads and real-world workloads, respectively, while minimally impacting the write amplification factor.…”
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Tasks scheduling with different structures in cloud manufacturing according to the time and cost of transportation and the task arrival time by Zohre Kiapasha, Ali Salmasnia

“…Therefore, in this study, an optimization model with three objective functions of task completion time, the cost imposed on the cloud manufacturing system, and the quality of the selected services are developed to get closer to the real world; three features are included in it: 1) the possibility of tasks with two structures, series and parallel, 2) different arrival times of tasks in the cloud manufacturing system, and 3) time/cost of logistics between different enterprises.Methodology: First, six examples with different numbers of tasks and subtasks are designed with both sequential and parallel structures. …”
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Improving Telemedicine through IoT and Cloud Computing: Opportunities and Challenges by M. Sunil Kumar, D. Ganesh

“…The combination of IoT and cloud methods indicates various advantages, such as improving patient outcomes, expanding healthcare accessibility, and enabling data-driven decision-making for medical professionals. Real-world case studies outline successful implementations of these methods, which result in decreased hospital readmissions, improved patient engagement in health management, and centralized critical care expertise. …”
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Multi-Relational Graph Representation Learning for Financial Statement Fraud Detection by Chenxu Wang, Mengqin Wang, Xiaoguang Wang, Luyue Zhang, Yi Long

“…We also employ focal loss to assign greater weights to harder-to-classify minority samples. We build a real-world dataset from the annual financial statement of listed companies in China. …”
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SmartSkin-XAI: An Interpretable Deep Learning Approach for Enhanced Skin Cancer Diagnosis in Smart Healthcare by Sultanul Arifeen Hamim, Mubasshar U. I. Tamim, M. F. Mridha, Mejdl Safran, Dunren Che

“…These results underscore the robustness and applicability of SmartSkin-XAI for real-world healthcare scenarios. <b>Conclusions:</b> SmartSkin-XAI addresses critical challenges in melanoma diagnosis by integrating state-of-the-art architecture with XAI methods, providing both accuracy and interpretability. …”
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