CALIBRATION OF MICROSCOPIC TRAFFIC SIMULATION OF URBAN ROAD NETWORK INCLUDING MINI-ROUNDABOUTS AND UNSIGNALIZED INTERSECTION USING OPEN-SOURCE SIMULATION TOOL by Mehmet Nedim YAVUZ, Halit ÖZEN

“…As traffic management issues become more prevalent, notably in urban areas, simulation tools enable a significant opportunity to replicate real-world conditions before implementation. Therefore, the calibration of traffic simulation models plays a substantial role in obtaining accurate and confidential results. …”
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A novel approach to Lyapunov stability of Caputo fractional dynamic equations on time scale using a new generalized derivative by Michael Precious Ineh, Edet Peter Akpan, Hossam A. Nabwey

“…The inclusion of fractional orders enabled the modeling of more complex dynamics that occur in real-world systems, particularly those involving both continuous and discrete time components. …”
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Evaluating AI performance in nephrology triage and subspecialty referrals by Priscilla Koirala, Charat Thongprayoon, Jing Miao, Oscar A. Garcia Valencia, Mohammad S. Sheikh, Supawadee Suppadungsuk, Michael A. Mao, Justin H. Pham, Iasmina M. Craici, Wisit Cheungpasitporn

“…This study evaluates the utility of ChatGPT, a large language model, in triaging nephrology cases through simulated real-world scenarios. Two nephrologists created 100 patient cases that encompassed various aspects of nephrology. …”
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Burden of Comorbidities and Healthcare Resource Utilization Among Medicaid-Enrolled Extremely Premature Infants by Meredith E. Mowitz, Wei Gao, Heather Sipsma, Pete Zuckerman, Hallee Wong, Rajeev Ayyagari, Sujata P. Sarda

“…**Objectives:** To characterize real-world patient characteristics, prevalence of comorbidities, rates of HCRU, and direct healthcare charges and societal costs among premature infants in US Medicaid programs, with respect to GA and the presence of respiratory comorbidities. …”
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QoS Prediction for Neighbor Selection via Deep Transfer Collaborative Filtering in Video Streaming P2P Networks by Wenming Ma, Qian Zhang, Chunxiao Mu, Meng Zhang

“…We conduct our experiments on a large real-world dataset, the QoS values of which are obtained from 339 clients evaluating on the other 5825 clients. …”
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Incidence and Characteristics of Patients with Visual Impairment due to Macular Edema Secondary to Retinal Vein Occlusion in a Representative Canadian Cohort by Robert J. Petrella, Julie Blouin, Brian Davies, Martin Barbeau

“…This study presents a description of the characteristics of patients with VI due to ME secondary to RVO in a real-world Canadian setting. The results demonstrate that BRVO was more frequent than CRVO, and that RVO in this patient population was associated with several vascular comorbidities.…”
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A Collaborative Privacy Preserved Federated Learning Framework for Pneumonia Detection using Diverse Chest X-ray Data Silos by Shagun Sharma, Kalpna Guleria

“…The results of the proposed model demonstrate the effectiveness of the federated learning model in pneumonia detection, highlighting its potential for real-world applications in decentralized healthcare configurations.…”
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Dynamic Spatiotemporal Causality Analysis for Network Traffic Flow Based on Transfer Entropy and Sliding Window Approach by Senyan Yang, Lianju Ning, Xilong Cai, Mingyu Liu

“…Experimental results based on real-world traffic sensor data indicate that the structures of traffic causality graphs are time-varying; the traffic cause-effect interaction among different road segments during the peak time is more significant than that during the nonpeak time; and the critical road segments can be identified, which are mainly located at the intersections of arterial roads, undertaking the convergence and dispersion of large traffic flows.…”
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Machine learning for medical image classification by Gazi Husain, Jonathan Mayer, Molly Bekbolatova, Prince Vathappallil, Mihir Matalia, Milan Toma

“…It highlights the intricate process involved in selecting the most suitable ML algorithm for predicting specific medical conditions, emphasizing the critical role of real-world data in testing and validation. It navigates through various ML methods utilized in healthcare, including Supervised Learning, Unsupervised Learning, Self-Supervised Learning, Deep Neural Networks, Reinforcement Learning, and Ensemble Methods. …”
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A Comparison of Evolutionary Computation Techniques for IIR Model Identification by Erik Cuevas, Jorge Gálvez, Salvador Hinojosa, Omar Avalos, Daniel Zaldívar, Marco Pérez-Cisneros

“…In particular, the use of infinite impulse response (IIR) models for identification is preferred over their equivalent FIR (finite impulse response) models since the former yield more accurate models of physical plants for real world applications. However, IIR structures tend to produce multimodal error surfaces whose cost functions are significantly difficult to minimize. …”
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The Value of Preemptive Pick-Up Services in Dynamic Vehicle Routing for Last-Mile Delivery: Space-Time Network-Based Formulation and Solution Algorithms by Weiran Meng, Lingyun Meng, Guoshuai Han, Xiaotian Zhuang, Lu Carol Tong, Shengnan Wu

“…Finally, the validity and effectiveness of the proposed methods are evaluated on an illustrative network and a real-world last-mile delivery network operated by a logistics company.…”
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Stability of Watch-Based Blood Pressure Measurements Analyzed by Pre-Post Calibration Differences by Youngro Lee, Jongae Park, Sungjoon Park, Jongmo Seo, Hae-Young Lee

“…However, concerns about accuracy and validation for clinical use persist. This study uses real-world data from a Samsung Galaxy Watch campaign to assess smartwatch-based BP measurements. …”
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An Enhanced Semisteady-State Jaya Algorithm With a Control Coefficient and a Self-Adaptive Multipopulation Strategy by Joshua Churchill Ankrah, Francis Boafo Effah, Elvis Twumasi

“…When compared with the Snow Geese Algorithm (SGA), Big Bang–Big Crunch Algorithm (BBBCA), firefly algorithm (FA), bat algorithm (BA), cuckoo search algorithm (CSA), and flower pollination algorithm (FPA), the ESJaya algorithm gives competitive results in terms of obtaining optimum values, mean accuracy, and stability. Using four real-world engineering problems, the ESJaya algorithm is compared with the recently proposed piranha predation optimization algorithm (PPOA) and four state-of-the-art algorithms, namely, the COLSHADE algorithm, the sCMAgES algorithm, the SASS algorithm, and the EnMODE algorithm. …”
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Multi-valued mappings on Pompeiu-Hausdorff fuzzy b-metric spaces and a common fixed point result by Noreddine Makran, Stojan N. Radenović

“…Introduction/purpose: The study of the theory of fuzzy sets was prompted by the presence of uncertainty as an essential part of real-world problems, leading Zadeh to address the problem of indeterminacy. …”
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Increasing Neural-Based Pedestrian Detectors’ Robustness to Adversarial Patch Attacks Using Anomaly Localization by Olga Ilina, Maxim Tereshonok, Vadim Ziyadinov

“…Adversarial patch attacks, being easily implemented in the real world, provide effective counteraction to object detection by state-of-the-art neural-based detectors. …”
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A new method for testing non-porous surfaces for their antimicrobial efficacy using an aerosol-generating spray chamber by Sabine Poelzl, Daniela Dreisiebner, Eva Zarschenas, Rozita Nokhbehzaeim, Clemens Kittinger

“…This test method represents a valuable alternative for the assessment of non-porous surfaces in a manner that more closely reflects real-world conditions (e.g., simulation of aerosol formation by sneezing).…”
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A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023 by Shalini Kumari, Chander Prabha, Asif Karim, Md. Mehedi Hassan, Sami Azam

“…Future research directions include improving model performance, leveraging multiple validation techniques, optimizing resource utilization, generating high-quality datasets, and focusing on real-world applications. The paper addresses the changing environment of AD methods and emphasizes the importance of continuing research and innovation. …”
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Use of metallic ureteric stents for chronic ureteric obstruction and its association with value-based care by Yu Xi Terence Law, Ang Zhou, David Terrence Consigliere, Benjamin Yen Seow Goh, Ho Yee Tiong

“…Introduction: We aimed to compare the real-world data and our clinical experience with metallic stents (MSs) and conventional polymeric stents (PSs) in the management of both malignant and benign chronic ureteric obstruction (CUO), in terms of clinical outcomes and costs. …”
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Classification-augmented survival estimation (CASE): A novel method for individualized long-term survival prediction with application to liver transplantation. by Hamed Shourabizadeh, Dionne M Aleman, Louis-Martin Rousseau, Katina Zheng, Mamatha Bhat

“…Further, we develop novel temporal feature importance methods to understand how different features may vary in survival importance over time, potentially providing actionable insights in real-world survival problems.…”
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Transferable Targeted Adversarial Attack on Synthetic Aperture Radar (SAR) Image Recognition by Sheng Zheng, Dongshen Han, Chang Lu, Chaowen Hou, Yanwen Han, Xinhong Hao, Chaoning Zhang

“…Although the targeted adversarial attack (TAA) has been realized in the white box setup with full access to the SAR model’s knowledge, it is less practical in real-world scenarios where white box access to the target model is not allowed. …”
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