Fleet data based traffic modeling by Tamás Tettamanti, Levente Tőkés, Balázs Varga

“…Although the available traffic data from navigation systems have increased steadily in recent years, it only reflects average travel time and possibly Origin-Destination information as samples, exclusively. However, the number of vehicles participating in the traffic – in other words, the traffic flows being the basic traffic engineering information for strategic planning or even for real-time management – is still missing or only available sporadically due to the limited number of traditional traffic sensors on the network level. …”
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Enhancing automated detection and classification of dementia in individuals with cognitive impairment using artificial intelligence techniques by Shoayee Dlaim Alotaibi, Abeer A. K. Alharbi

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Time-Dependent Shortest Path Optimization in Urban Multimodal Transportation Networks with Integrated Timetables by Yong Peng, Aizhen Ma, Dennis Z. Yu, Ting Zhao, Chester Xiang

“…To address this NP-hard problem, we propose and implement two optimization algorithms: a variable-length coding genetic algorithm (V-GA) and a full permutation coding genetic algorithm (F-GA). …”
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Enhancing Railway Earthquake Early Warning Systems with a Low Computational Cost STA/LTA-Based S-Wave Detection Method by Satoshi Katakami, Naoyasu Iwata

“…To enhance real-time S-wave detection in the railway earthquake early warning (EEW) system, we improved the existing short-term average/long-term average (STA/LTA) algorithm. This enhancement focused on developing a more robust and computationally efficient method. …”
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Initialization of cutting tools and milling paths for 5-axis CNC flank milling of freeform surfaces by Pengbo Bo, Siyu Xue, Xiwen Xu, Caiming Zhang

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Landing scheduling for carrier aircraft fleet considering bolting probability and aerial refueling by Genlai Zhang, Lei Wang, Zhilong Deng, Xuanbo Liu, Xichao Su, Haixu Li, Chen Lu, Kai Liu, Xinwei Wang

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A Framework for Autonomous UAV Navigation Based on Monocular Depth Estimation by Jonas Gaigalas, Linas Perkauskas, Henrikas Gricius, Tomas Kanapickas, Andrius Kriščiūnas

“…The solution utilizes a depth image estimation model to create an occupancy grid map of the surrounding area and uses an A* path planning algorithm to find optimal paths to end goals while navigating around the obstacles. …”
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Accelerating RRT* convergence with novel nonuniform and uniform sampling approach by Sivasankar Ganesan, Mohanraj Thangamuthu, Balakrishnan Ramalingam, Madan Mohan Rayguru, Sethu Narayanan Tamilselvan

“…The numerical simulation results indicate that the proposed RRT*-NUS surpasses the baseline RRT* algorithms in terms of planning time and convergence. …”
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Decentralized Multi-Agent Search for Moving Targets Using Road Network Gaussian Process Regressions by Brady Moon, Christine Akagi, Cameron K. Peterson

“…This paper introduces a method that leverages accumulated target-density information over the course of a UAV mission to adapt path-planning rewards, guiding UAVs toward areas with a higher likelihood of target presence. …”
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A crowdsensing-based framework for sound and vibration data analysis in smart urban environments by Boban DAVIDOVIC, Sanja DEJANOVIC, Maja DAVIDOVIC

“…Our framework empowers city stakeholders, offering insights for informed decisions in urban planning, transportation, infrastructure maintenance, and public health. …”
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Path recommendation based on geographic coordinates and trajectory data by Zhong-an JIANG, Ming WANG, Ya CHEN

“…In order to overcome the lacking of tourism information recommendation at the tourism websites,travel review websites and travel websites,a hybrid density clustering approach was proposed to identify scenic hotspot based on the data of geographical coordinates and tour route data.To help users searching high-quality resources and planning an effective tour path,a tour path generation algorithm was designed which contained all the attractions in the scenic area by using the HITS algorithm to evaluate the attraction and improving the traditional ACO algorithm.The multi algorithm comparison experiment was conducted to evaluate the effectiveness of the hot spots and route planning methods.The results show that the method is efficient and practical.…”
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Path recommendation based on geographic coordinates and trajectory data by Zhong-an JIANG, Ming WANG, Ya CHEN

“…In order to overcome the lacking of tourism information recommendation at the tourism websites,travel review websites and travel websites,a hybrid density clustering approach was proposed to identify scenic hotspot based on the data of geographical coordinates and tour route data.To help users searching high-quality resources and planning an effective tour path,a tour path generation algorithm was designed which contained all the attractions in the scenic area by using the HITS algorithm to evaluate the attraction and improving the traditional ACO algorithm.The multi algorithm comparison experiment was conducted to evaluate the effectiveness of the hot spots and route planning methods.The results show that the method is efficient and practical.…”
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The Value of Clinical Decision Support in Healthcare: A Focus on Screening and Early Detection by Hendrik Schäfer, Nesrine Lajmi, Paolo Valente, Alessandro Pedrioli, Daniel Cigoianu, Bernhard Hoehne, Michaela Schenk, Chaohui Guo, Ruby Singhrao, Deniz Gmuer, Rezwan Ahmed, Maximilian Silchmüller, Okan Ekinci

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Assessment of flood vulnerability in a coastal metropolitan city for sustainable environmental using machine learning methods by Rana Alabdan, C. Sharmila, Nuha Alruwais, Haya Mesfer Alshahrani, S. Anbukkarasi, M. Sujatha, S. Vivek

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An Intelligent Evaluation Method of Supply-Demand Matching Degree Based on ELECTRE III and VIKOR in Cloud Manufacturing Platform by Jihong Pang, Yuxuan Shi, Jinkun Dai

“…Firstly, the demand side uploads a bill of material on the cloud manufacturing platform, and the supplier provides a supply plan. The demand side forms an evaluation team to evaluate the quality of the supplied product. …”
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Stochastic Characterization of Faults in Electrical Transmission Networks: Case Study of the Electrical Community of Benin by Mohamed Barate, Eyouléki Tcheyi Gnadi Palanga, Ayité Sénah Akoda Ajavon, Kodjo Agbossou

“…A predictive network outage solution would contribute effectively to better transmission network planning. Unfortunately, outage data for conventional networks are based solely on dispatcher reports and are difficult to exploit. …”
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Figuring Digital Cascades: Issue Framing in Digital Media Ecosystems by Nathalie Casemajor, Sylvain Rocheleau

“…We found three key factors that constituted and shaped this information cascade: 1) the economic structure of the Canadian media market, and especially the concentration of media ownership, which is notably high in the Canadian media ecosystem; 2) data-exchange mechanisms and algorithmic filtering that drive the process of news aggregation, quickly spreading media content without being a significant source of user engagement; 3) grassroots engagement in diasporic media, which activates micro public spheres around nested interests and political standpoints regarding the public issue. …”
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Beyond boundaries: AI-optimized global landslide susceptibility mapping by Mahdi Panahi, Fatemeh Rezaie, Khabat Khosravi, Zahra Kalantari, Sayed M. Bateni, Jeong-A Lee

“…This study addresses these gaps by developing an optimized framework using support vector regression (SVR) enhanced with meta-heuristic algorithms (grey wolf optimizer [GWO] and bat algorithm) to refine model hyper-parameters. …”
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Auditing Flood Vulnerability Geo-Intelligence Workflow for Biases by Brian K. Masinde, Caroline M. Gevaert, Michael H. Nagenborg, Marc J. C. van den Homberg, Jacopo Margutti, Inez Gortzak, Jaap A. Zevenbergen

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Artificial intelligence-assisted identification of condensing osteitis and idiopathic osteosclerosis on panoramic radiographs by Ibrahim Burak Yuksel, Amin Boudesh, Masoud Ghanbarzadehchaleshtori, Sumeyye Celik Ozsoy, Serkan Bahrilli, Reza Mohammadi, Ali Altindag

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