Cost-effectiveness of Catheter Ablation Versus Antiarrhythmic Drug Therapy for the Treatment of Atrial Fibrillation: A Canadian Perspective by Yaariv Khaykin, Peter J. Mallow, John A. Rizzo, Atul Verma, Lauren Chun, Shelby Olesovsky, Matthew R. Reynolds

“…**Conclusions:** From the perspective of the Canadian Healthcare system, CA is a potentially cost-effective treatment compared to AAD therapy in a low stroke risk population using real-world data when examining a time horizon of greater than 5 years.…”
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Gridless DOA Estimation with Extended Array Aperture in Automotive Radar Applications by Pengyu Jiang, Silin Gao, Jie Zhao, Zhe Zhang, Bingchen Zhang

“…The effectiveness of the proposed algorithm in practical applications is further validated through real-world data experiments, demonstrating its superior capability in clutter elimination.…”
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AI-Driven precision in solar forecasting: Breakthroughs in machine learning and deep learning by Ayesha Nadeem, Muhammad Farhan Hanif, Muhammad Sabir Naveed, Muhammad Tahir Hassan, Mustabshirha Gul, Naveed Husnain, Jianchun Mi

“…We systematically explored the evolution from traditional empirical, including machine learning (ML), and physical approaches to these advanced models, and delved into their real-world applications, discussing economic and policy implications. …”
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Vision-Based Pick and Place Control System for Industrial Robots Using an Eye-in-Hand Camera by van-Truong Nguyen, Phu-Tuan Nguyen, Shun-Feng Su, Phan Xuan Tan, Thanh-Lam Bui

“…This study is evaluated in both simulation and real-world experiments. We propose a novel approach that combines the YOLOv7 (You Only Look Once V7) deep learning network with GAN (Generative Adversarial Networks) to achieve fast and accurate object recognition. …”
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Effective Underground Facilities Management in Virtual Reality by Applying a Cybersickness Reduction Technique Based on a Four-Degree-of-Freedom Motion Simulator by Namkyoo Kang, Sang-Woo Seo, Woo-Sug Jung, Jongchan Lee, Yong-Tae Lee

“…This integrated approach enables users to effectively manage and operate UUT facilities in a safe, controlled virtual setting, bridging the gap between traditional training and real-world operations.…”
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Integrating Radar-Based Obstacle Detection with Deep Reinforcement Learning for Robust Autonomous Navigation by Nabih Pico, Estrella Montero, Maykoll Vanegas, Jose Miguel Erazo Ayon, Eugene Auh, Jiyou Shin, Myeongyun Doh, Sang-Hyeon Park, Hyungpil Moon

“…Simulation and experimental results validate the proposed method’s efficiency and adaptability, highlighting its potential for real-world applications in dynamic scenarios.…”
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Hypergraph User Embeddings and Session Contrastive Learning for POI Recommendation by Yan Zhang, Bin Wang, Qian Zhang, Sulei Zhu, Yan Ma

“…Extensive experiments on two real-world datasets show that HUE-SCL outperforms existing state-of-the-art baseline methods.…”
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Single-View Depth Estimation: Advancing 3D Scene Interpretation With One Lens by Kavitha Dhanushkodi, Akila Bala, Neelam Chaplot

“…Its versatility makes it particularly valuable for real-world applications like autonomous navigation, where accurate depth perception is essential for tasks such as obstacle avoidance and path planning, and augmented reality, where it enhances the interaction between virtual and physical objects. …”
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Investigating temperature effects on perovskite solar cell performance via SCAPS-1D and impedance spectroscopy by A. Mortadi, Y. Tabbai, E. El Hafidi, H. Nasrellah, E. Chahid, M. Monkade, R. El Moznine

“…These analyses are crucial to grasp the relationship between temperature, power output, and efficiency, providing insights necessary for thermally managing PSCs in real-world applications. Advancing these studies with Impedance Spectroscopy (IS) has granted a detailed view of the cells properties across frequencies, offering a deeper understanding of underlying processes like ionic transport, recombination, and diffusion. …”
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A Joint Forgetting Factor-Based Adaptive Extended Kalman Filtering Approach to Predict the State-of-Charge and Model Parameter of Lithium-Ion Battery by Satyaprakash Rout, Satyajit Das

“…The practical applicability of the proposed JFFAEKF is validated using real-world current profiles from the LA92, UDDS, and US06 drive cycles at various operating temperatures. …”
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Costs of colorectal cancer screening in Sweden: an observational, longitudinal cost description by Johannes Blom, Naimi Johansson, Camilla Nystrand

“…The aim of this paper was to describe the costs of CRC screening in a population-based screening programme, using administrative real-world data. Specifically, we aimed to estimate the annual costs of the screening programme and the total costs of the full programme over five consecutive screening rounds.Methods The CRC screening programme of Stockholm-Gotland, Sweden, targeted all resident men and women aged 60–69 years for biennial screening. …”
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A novel stereographic semi-circular distribution and enhanced analysis of the posterior corneal curvature of eye by Shakila Bashir, Bushra Masood, Aamir Sanaullah, Laila A. Al-Essa

“…The proposed semi-circular Marshall-Olkin extended Burr-XII distribution proves adept at handling real-world semi-circular data. The extension to the l-axial model and subsequent transformations introduces innovative models, demonstrated by superior compatibility in both circular and semi-circular datasets.…”
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Health Behaviours among Travellers Regarding Risk Compensation Following COVID-19 Vaccination in Taizhou, China by Meng-Ge Yang, Li-Jun Wang, Lu-Yin Xu, Mang Ke, Liang-Xue Sun

“…According to the risk compensation theory, travellers post-COVID-19 vaccination may encounter higher risks; however, no real-world studies provide such evidence. Therefore, we conducted a survey to assess whether risk compensation would occur among travellers’ health-related behaviours after COVID-19 vaccination, potentially aggravating the transmission of the virus. …”
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Distribution network fault comprehensive identification method based on voltage–ampere curves and deep ensemble learning by Jian Wang, Bo Zhang, Dong Yin, Jinxin Ouyang

“…The proposed method has good adaptability and generalization ability to different systems and real-world data. The proposed method can provide decision guidance for automatic line reclosing, fault recovery and operation and maintenance repair.© 2017 Elsevier Inc. …”
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Improving Performance of Real-Time Object Detection in Edge Device Through Concurrent Multi-Frame Processing by Seunghwan Kim, Changjong Kim, Sunggon Kim

“…We implement our scheme in YOLO (You Only Look Once), one of the most popular real-time object detection algorithms, on a state-of-the-art, resource-constrained IoT edge device, Nvidia Jetson Orin Nano, using real-world video and image datasets, including MS-COCO, ImageNet, PascalVOC, DOTA, animal videos, and car-traffic videos. …”
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Anti-furfurative comparison of Kesh Kanti-Herbal Shampoos and synthetic shampoos against Malassezia furfur for dandruff management by Acharya Balkrishna, Nem Kumar Ngpoore, Harshita Jonwal, Savita Lochab, Anurag Varshney

“…Experiments were designed to stimulate real-world conditions, utilizing disc-diffusion assay, 3-minute shampoo contact at mild dilutions (1% and 5%), recurrent 3-minute shampoo contact every 24 h with intermittent recovery. …”
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Blockchain-Assisted Generation Rescheduling in Imperfect Market Environments by Salman Tariq, Mohamed Shaaban, Hazlie Mokhlis, Nurulafiqah N. Mansor, Hasmaini Mohamad

“…The feasibility of this new proposition is demonstrated through three different application scenarios, utilizing real-world load and renewable generation profiles sourced from the respective Grid System Operators databases. …”
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A Novel FS-GAN-Based Anomaly Detection Approach for Smart Manufacturing by Tae-yong Kim, Jieun Lee, Seokhyun Gong, Jaehoon Lim, Dowan Kim, Jongpil Jeong

“…The model reduces dependency on extensive data collection and labeling efforts, making it suitable for real-world applications. Through reliable and efficient anomaly detection, FS-GAN contributes to production reliability, product quality, and operational efficiency in smart factories. …”
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A Spatial Transformation Based Next Frame Predictor by Saad Mokssit, Daniel Bonilla Licea, Bassma Guermah, Mounir Ghogho

“…We have validated the generalization capabilities of our model through training on simulated datasets and testing on real-world datasets. The results indicate that our model not only outperforms existing models trained solely on real data but also exhibits superior resilience to occlusions and incomplete data in the input sequences. …”
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Semantic-Aware Top-k Multirequest Optimal Route by Shuang Wang, Yingchun Xu, Yinzhe Wang, Hezhi Liu, Qiaoqiao Zhang, Tiemin Ma, Shengnan Liu, Siyuan Zhang, Anliang Li

“…Finally, we perform an extensive experimental evaluation on multiple real-world graphs to demonstrate that the proposed methods deliver excellent performance.…”
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