Comparative study of multiple algorithms classification for land use and land cover change detection and its impact on local climate of Mardan District, Pakistan by Farnaz, Narissara Nuthammachot, Muhammad Zeeshan Ali

“…The study highlights the importance of selecting appropriate classifiers for accurate LULC change detection and underscores the need for informed decision-making in environmental management and urban planning to mitigate the impacts of climate change and promote sustainable development.…”
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Derivation and validation of an algorithm to predict transitions from community to residential long-term care among persons with dementia-A retrospective cohort study. by Wenshan Li, Luke Turcotte, Amy T Hsu, Robert Talarico, Danial Qureshi, Colleen Webber, Steven Hawken, Peter Tanuseputro, Douglas G Manuel, Greg Huyer

“…This tool can inform care planning for individuals with dementia and their family caregivers.…”
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Crucial File Selection Strategy (CFSS) for Enhanced Download Response Time in Cloud Replication Environments by M.A. Fazlina, Rohaya Latip, Azizol Abdullah, Hamidah Ibrahim, Mohamed A. Alrshah

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Enhancing Urban Energy Infrastructure by Optimizing Underground Transmission Line Routing in Phnom Penh by Kimlin Saing, Hui Hwang Goh, Dongdong Zhang, Wei Dai, Tonni Agustiono Kurniawan, Kai Chen Goh

“…In this respect, we identified the most cost-effective technological route for an underground transmission line between substations. Using geographic information system (GIS) data, we generated algorithms to define the optimal route for the installation of a UGTL and minimize the costs of the material and labor required. …”
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THE CONTROLLER OF FUZZY LOGIC IN THE MANAGEMENT OF TECHNOLOGICAL PROCESSES by S. V. Shilkina, E. N. Fokina

“…As a further study, it is planned to consider the issues of fuzzy control of various life support systems of a modern building.…”
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Efficient Robot Localization Through Deep Learning-Based Natural Fiduciary Pattern Recognition by Ramón Alberto Mena-Almonte, Ekaitz Zulueta, Ismael Etxeberria-Agiriano, Unai Fernandez-Gamiz

“…This paper introduces an efficient localization algorithm for robotic systems, utilizing deep learning to identify and exploit natural fiduciary patterns within the environment. …”
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Post-Pandemic Urban Future: Identification of the main trends of change in Latin America, through the application of the Delphi method by Yeimis Milton Palomino Pichihua

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Automatic extraction of 3d building meshes from LiDAR data by Jan Voříšek, Bořek Patzák, Daniel Rypl

“…While the resulting data sets are easy to understand for humans, extracting any semantical information from the data is a challenging task. Creating a BIM model for large cities is desirable, especially for planning and inventory purposes. …”
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Modeling peak ground acceleration for earthquake hazard safety evaluation by Fatima Khalid, Milad Razbin

“…These findings underscore the model’s potential in accurately forecasting seismic events, thereby contributing to the development of more resilient infrastructure and better-informed urban planning strategies.…”
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Optimization for route selection under the integration of dispatching and control at the railway station: A 0‐1 programming model and a two‐stage solution algorithm by Liang Ma, Kun Yang, Jin Guo, Yuanli Bao, Wenqing Wu

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Research and Modeling of Commercial Location Selection Based on Geographic Big Data and Mobile Signaling Data—A Case Study of the Central Urban Area of Beijing by Jin Zou, Xun Zhang, Yangxiao Cong, Zhentong Gao, Jinlian Shi

“…The layout and site selection strategy of commercial facilities are crucial for both enterprise performance and market image, while also significantly impacting the overall planning of urban commercial environments. However, conventional methods of choosing sites sometimes depend on outdated management information systems or static statistical models, which may not take into account all relevant factors and have poor data quality. …”
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Enhancing Smart and Zero-Carbon Cities Through a Hybrid CNN-LSTM Algorithm for Sustainable AI-Driven Solar Power Forecasting (SAI-SPF) by Haytham Elmousalami, Felix Kin Peng Hui, Aljawharah A. Alnaser

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Comparative Global Assessment and Optimization of LandTrendr, CCDC, and BFAST Algorithms for Enhanced Urban Land Cover Change Detection Using Landsat Time Series by Taku Murakami, Narumasa Tsutsumida

“…The rapid expansion of urban areas necessitates effective monitoring systems for sustainable development planning. Time-series change detection algorithms applied to satellite imagery offer promising solutions, but their comparative effectiveness specifically for urban land cover monitoring remains poorly understood. …”
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Multi-objective layout optimization of hospital outpatient clinics based on NSGA II by Yanlin Zhao, Jiamei Gu

“…Abstract This study utilizes an improved NSGA-II algorithm to conduct a multi-objective optimization of the hospital outpatient department layout. …”
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Improvement of Assemble-to-Order Model Processes With Process Mining: Dynamic Analysis and Hybrid Approaches by Ufuk Celik, Yuksel Yurtay

“…The hybrid approach achieved a fitness value of 92.5% with 77% precision, significantly improving upon the initial life cycle miner algorithm results (fitness value: 79.5%). Insights derived from the analysis informed actionable recommendations to optimize production workflows. …”
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Dynamic UAV Inspection Boosted by Vehicle Collaboration Under Harsh Conditions in the IoT Realm by Dai Hou, Zhiheng Yao, Bo Jin, Xingwei Cai, Huan Xu, Jiaxiang Xu, Tianping Deng

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Visual analytics of urban epidemic situation development and dynamic regulation by Song WANG, Shijie CHEN, Hanglin LI, Xiaohui LI, Qiongfang FENG, Huijie WANG

“…In order to solve the reasonable allocation of limited medical resources for patients, a visual platform for dynamic control of cabin hospital was built based on the dataset of the COVID-19 epidemic in Wuhan cabin hospital, which integrates multi-source data such as public opinion, space-time trajectory and science popularization.The droppingwater diagram was introduced to dynamically monitor the overall situation of the cabin hospital.The theme model and sentiment dictionary were used to extract the emotional features of the masses, the WordStream were used to visually present the trend of urban public opinion.The path planning algorithm based on hospital load capacity were built for treatment route, the population-oriented science information of access to cabin hospital and the urban recovery model can enhance anti-epidemic confidence.The system is helpful to realize the reasonable allocation of human and material resources, timely guide the emotional trend of the masses, pay attention to the change of public opinion after the release of new polices/decisions, and slow down the phenomenon of patients gathering.The function and effectiveness of the system was verified by the analysis of several cases.…”
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Pix2Pix-Based Modelling of Urban Morphogenesis and Its Linkage to Local Climate Zones and Urban Heat Islands in Chinese Megacities by Mo Wang, Ziheng Xiong, Jiayu Zhao, Shiqi Zhou, Qingchan Wang

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Improving the navigation optimization of hospital logistics robots under complex lighting changes by using improved ORB-SLAM3 and deep learning visual SLAM algorithm by Feng Xiao, Youhai Zhang, Jie Fang, Xing Guo, Rubing Huang

“…These measures significantly improve the quality and matching accuracy of feature point extraction; the algorithm also combines visual and inertial information closely by combining inertial measurement unit data, further enhancing the positioning accuracy and system stability.The experimental results show that in the environment of rapid light changes, the average positioning error, navigation map construction integrity and navigation planning time of the improved ORB-SLAM3 algorithm are 0.26 m, 80% and 7.26 ms, respectively.This achievement not only effectively improves the navigation efficiency of the hospital logistics robot, but also enhances its stability and reliability in an environment with severe lighting changes. …”
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IECO: an improved educational competition optimizer for state-of-the-art engineering optimization by Xiaojie Tang, Junbo Jacob Lian, Ling Ma, Xincan Wu, Rui Zhong, Yujun Zhang, Huiling Chen

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