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- research-articleSeptember 2024
Latent class analysis: A review and recommendations for future applications in health sciences
Procedia Computer Science (PROCS), Volume 238, Issue CPages 1062–1067https://doi.org/10.1016/j.procs.2024.06.135AbstractThis article provides an overview of latent class analysis (LCA) and its applications in the field of health sciences. LCA is a statistical method used to identify unobserved subpopulations, or latent classes, within a population based on a set of ...
- research-articleSeptember 2024
Integer Linear Programming Model for Profit Maximization using Branch and Bound Algorithm in Retail Companies: Case of a Peruvian Company
- John Diego Chancahuana Castillo,
- Willy Noe Parisuaña Yucra,
- Mario Ninaquispe Soto,
- Sonia Castro Ynfantes
Procedia Computer Science (PROCS), Volume 238, Issue CPages 1054–1061https://doi.org/10.1016/j.procs.2024.06.134AbstractThis article presents an inventory management model for profit maximization in a Peruvian retail company (FIDEL) using linear programming techniques and the Branch and Bound algorithm. To introduce this paper we refute, through a review of ...
- research-articleSeptember 2024
Logistics modeling in the export of merchandise that allows to determine its efficiency through the exporta fácil program
Procedia Computer Science (PROCS), Volume 238, Issue CPages 1048–1053https://doi.org/10.1016/j.procs.2024.06.133AbstractThe purpose of this research was to denote the influence of the Exporta Fácil Program on the export of handicrafts from Lima 2014. For this reason, the research was developed within the framework of the quantitative approach, with a causal ...
- research-articleSeptember 2024
Impact of Barriers on Innovation Outcomes: Novelty as a Contingent in the Case of Service and Commerce Sectors in Colombia
Procedia Computer Science (PROCS), Volume 238, Issue CPages 995–1001https://doi.org/10.1016/j.procs.2024.06.125AbstractThis article analyzes the impact of revealed barriers - those challenges faced by firms during their innovation endeavors - on the firms’ innovation outcomes. The central hypothesis of this study proposes that this impact varies depending on the ...
- research-articleSeptember 2024
Machine learning applied to social science research: The Nexus of Internet Access, Economic Freedom, and Corruption
Procedia Computer Science (PROCS), Volume 238, Issue CPages 968–973https://doi.org/10.1016/j.procs.2024.06.121AbstractThis study employed a quantile regression model as a machine learning tool in Python to assess the nuanced effects and relationships within a dataset examining the combined impact of Internet connectivity and degrees of economic freedom on global ...
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- research-articleSeptember 2024
The Symmetry of Primitive Root in Number Theory
Procedia Computer Science (PROCS), Volume 238, Issue CPages 863–869https://doi.org/10.1016/j.procs.2024.06.104AbstractSymmetry refers to the exact same characteristics on both sides of an object or figure on a central axis or plane. In science and daily life, symmetrical things give people a sense of dignity and contain the beauty of balance and stability. It ...
- research-articleSeptember 2024
An Agent-based Cooperative Lane-Changing System with Payments
Procedia Computer Science (PROCS), Volume 238, Issue CPages 785–790https://doi.org/10.1016/j.procs.2024.06.092AbstractTraffic advisories to travelers are based upon traffic state information at the link level. However, with the advances in automotive technology, sensing equipment, and the Internet of Things (IoT), we can leverage more granular information. ...
- research-articleSeptember 2024
A Label-correcting Algorithm for Constrained One-to-Many K-shortest Path Problem with Replenishment
Procedia Computer Science (PROCS), Volume 238, Issue CPages 369–376https://doi.org/10.1016/j.procs.2024.06.037AbstractThe constrained one to many K-shortest path problem with replenishment (CKSPR) is an important variant of the classical shortest path problem with wide-range applications in transportation and logistics. In CKSPR, the objective is to find K number ...
- research-articleSeptember 2024
Optimization of Electric Bus Scheduling and Charger Location
Procedia Computer Science (PROCS), Volume 238, Issue CPages 361–368https://doi.org/10.1016/j.procs.2024.06.036AbstractIn the pursuit of sustainable urban transportation, the transition from traditional fossil fuel-powered buses to battery electric buses (BEBs) presents a significant leap forward. However, this shift introduces a critical challenge in the form of ...
- research-articleSeptember 2024
Personalized Day-Trip Planning: A TSP-TW-Based Multimodal Multicriteria Optimisation Approach
Procedia Computer Science (PROCS), Volume 238, Issue CPages 352–360https://doi.org/10.1016/j.procs.2024.06.035AbstractIn this paper, we present a novel approach for computing personalized itineraries for individual travel plans throughout one day, considering the wide variety of mobility preferences individuals consider when making itinerary choices. We extend ...
- research-articleSeptember 2024
Investigating the Impact of Network Structure on Road Traffic Crashes: A Macro-level Analysis
Procedia Computer Science (PROCS), Volume 238, Issue CPages 336–343https://doi.org/10.1016/j.procs.2024.06.033AbstractRoad traffic crashes (RTCs) are one of the significant externalities associated with transportation that pose a serious public health risk. While addressing the safety concerns of road transport, road network structure is often overlooked. Among ...
- research-articleSeptember 2024
Detecting Fraud in Public Acquisition of Brazilian Government with an Analytical Approach
Procedia Computer Science (PROCS), Volume 238, Issue CPages 248–254https://doi.org/10.1016/j.procs.2024.06.022AbstractIn Brazil, government purchases of products or services, by constitutional and legal impositions, must be preceded by bidding, whose supervision is the responsibility of the Courts of Auditors. Bids are subject to numerous frauds, including ...
- research-articleSeptember 2024
How well can we really estimate desired speeds? - A simulation study on the modified Kaplan-Meier approach
Procedia Computer Science (PROCS), Volume 238, Issue CPages 232–239https://doi.org/10.1016/j.procs.2024.06.020AbstractDesired speed or free speed distributions are important input parameters for microscopic traffic flow simulations. Whereas driven speeds can be measured, desired speeds are not detectable for all vehicles due to vehicles constraining each other. ...
- research-articleSeptember 2024
Machine Learning-Based traffic Crash Count Prediction
Procedia Computer Science (PROCS), Volume 238, Issue CPages 192–199https://doi.org/10.1016/j.procs.2024.06.015AbstractThis research paper focuses on comparing two Machine Learning (ML) approaches—Time Series Analysis and a Feature-Based Prediction—for predicting traffic accident counts. Spanning the years 2005 to 2016 in Paris, the study leverages a comprehensive ...
- research-articleSeptember 2024
Reliability of Self-Reported Road Crash and Violation Data of Professional Drivers: The Case of Qatar
Procedia Computer Science (PROCS), Volume 238, Issue CPages 159–166https://doi.org/10.1016/j.procs.2024.06.011AbstractHaving accurate road traffic crashes (RTCs) and violations data is essential for establishing more realistic crash and casualty reduction programs. Although crash data commonly suffer from issues of accuracy and comprehensiveness, these factors ...
- research-articleSeptember 2024
Addressing Local and Regional Recharging Demand: Allocation of Charging Stations through Iterative Route Analysis
Procedia Computer Science (PROCS), Volume 238, Issue CPages 65–72https://doi.org/10.1016/j.procs.2024.05.197AbstractThe emergence of electric vehicles offers a promising approach to achieving a more sustainable transportation system, given their lower production of direct emissions. However, the limited driving range and insufficient public recharging ...
- research-articleSeptember 2024
Short-term glucose prediction in Type 1 Diabetes
Procedia Computer Science (PROCS), Volume 238, Issue CPages 41–48https://doi.org/10.1016/j.procs.2024.05.194AbstractThe use of short-term prediction techniques with the purpose of anticipating hyper- or hypoglycemic episodes for patients with type 1 diabetes has gained a lot of interest in the past years. Both hypoglycemia and hyperglycemia have a major impact ...
- research-articleSeptember 2024
Estimation of informal park-and-ride
Procedia Computer Science (PROCS), Volume 238, Issue CPages 32–40https://doi.org/10.1016/j.procs.2024.05.193AbstractCurbside parking in a residential area may be induced by the presence of a public transport stop. Travelers may park their car near the stop and continue their trip to the city center by other means. This is called informal park-and-ride. The ...
- research-articleSeptember 2024
Addressing imbalanced data in predicting injury severity after traffic crashes: A comparative analysis of machine learning models
Procedia Computer Science (PROCS), Volume 238, Issue CPages 24–31https://doi.org/10.1016/j.procs.2024.05.192AbstractRoad traffic crashes are a significant public health concern, leading to substantial human and financial losses. Accurately predicting injury severity is crucial for optimizing rescue efforts and saving lives. This study utilizes various Machine ...
- research-articleJuly 2024
Intelligent transport systems for green transformation of transport corridor
Procedia Computer Science (PROCS), Volume 236, Issue CPages 493–501https://doi.org/10.1016/j.procs.2024.05.058AbstractThe sustainable evolution of international transport corridors is imperative to meet the dual challenges of growing global transportation demands and pressing environmental concerns. This paper delves into the potential of Intelligent Transport ...