Autonomous Waste Classification Using Multi-Agent Systems and Blockchain: A Low-Cost Intelligent Approach by Sergio García González, David Cruz García, Rubén Herrero Pérez, Arturo Álvarez Sanchez, Gabriel Villarrubia González

“…Blockchain has been implemented as a technology for the immutable and transparent control of waste registration, favoring traceability during the classification process, providing sustainability to the process, and making the audit of data in smart urban environments transparent. …”
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Discovery and Discrimination of Bridge Engineering Safety Issues by BIM Virtual Scene Combined with Robotic Mapping by Guilin Gong, Shaowu Zeng, Jingjing Gao, Qingliang Zhang, Xinli Wang

“…Nanobots are artificial intelligence systems built to simulate biological nanomachine constructions in life activities and important biological events in life processes. In this paper, BIM virtual scenarios incorporating intelligent nanomaterial robot mapping technology are migrated to bridge engineering safety management. …”
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PWM offline variable application based on UAV remote sensing 3D prescription map by Leng Han, Zhichong Wang, Miao He, Yajia Liu, Xiongkui He

“…This newly developed process does not require costly sensors on each sprayer and has potential for field applications.…”
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Updated fine-scale location data for Blantyre district collected using a low-cost approach by Chifuniro Baluwa, Patrick Ken Kalonde, Upendo Lisa Mseka, Owen Tsoka, Kingsley Kajanga, Faith Chimphondah, Prince Time Matope Aaron, Francis Chimbalanga, Blessings Chiepa, Clinton Nkolokosa, Latif Ndeketa, Patrick Musicha, Kondwani Charles Jambo, Michelle C. Stanton, James Chirombo

“…This study employed low-cost approaches to map residential areas in Blantyre district, Malawi, which was severely affected by a cholera outbreak that lasted over a year (March 2022 to August 2023). …”
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Self-supervised learning analysis of multi-FISH labeled cell-type map in thick brain slices by Weijie Zheng, Weijie Zheng, Yiping An, Yiping An, Kang Li, Jinyue Wang, Jianqing Gao, Huawei Mu, Huawei Mu, Jin Tang, Jin Tang, Hao Wang, Hao Wang

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The influence of land consolidation works on the efficiency of the production process by Jacek Gniadek, Jarosław Janus, Stanisław Bacior

“…For each of them the shape index in the form of the cost of cultivation depending on their layout will be specified. …”
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Open-Source vs. Commercial Photogrammetry: Comparing Accuracy and Efficiency of OpenDroneMap and Agisoft Metashape by A. Kostrzewa, A. Płatek-Żak, P. Banat, Ł. Wilk

“…Drones, equipped with cameras, are now widely used in fields such as surveying, mapping, agriculture, or infrastructure inspections. …”
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GeoAI-Driven mapping of urban rooftop Photovoltaics: A sustainable energy framework for Karachi, Pakistan by Muhammad Kamran Lodhi, Yumin Tan, Agus Suprijanto, Shahid Naeem, Yang Li

“…Additionally, we evaluated the economic feasibility of RPV deployment using levelized cost of electricity (LCOE) analysis. By advancing image processing and big spatiotemporal data analytics with GeoAI, this study provides a scalable framework for inventorying urban renewable energy resources, offering actionable insights for governance and sustainable land use planning.…”
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Accuracy Assessment of RTK, PPK, and PPP-AR Techniques for Direct Georeferencing in UAV-Based Photogrammetric Mapping by M. Arkalı, M. E. Atik

“…In the fields of mapping, surveying, and three-dimensional (3D) modeling, unmanned aerial vehicle (UAV) systems have become essential equipment in recent times. …”
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Evaluating the robustness of Bayesian flood mapping with Sentinel-1 data: A multi-event validation study by Florian Roth, Mark Edwin Tupas, Claudio Navacchi, Jie Zhao, Wolfgang Wagner, Bernhard Bauer-Marschallinger

“…In addition to computing common accuracy metrics, eight representative events were analysed in detail to understand the reasons for the differences found, identify potential improvements for the method, and gain generic insights for radar-based flood mapping. Most differences are caused by the use of the VH polarization in some of the ODM reference maps, while the GFM service so far relies exclusively on VV polarization due to computational costs. …”
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A comparative cost analysis of 25-fraction vs 5-fraction postoperative radiotherapy regimens for breast cancer by Dem Aliaj, Guido Schüpfer, Gabriela Studer

“…MATERIALS AND METHODS: Calculations were performed based on patient and infra-structure data collected from the department of radiation oncology at Lucerne Cantonal Hospital (LUKS) in Switzerland from 1 July to 31 December 2020. The process maps were created to identify resources used for each radiation therapy option, from initial consultation to treatment completion. …”
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Replication-Based Query Management for Resource Allocation Using Hadoop and MapReduce over Big Data by Ankit Kumar, Neeraj Varshney, Surbhi Bhatiya, Kamred Udham Singh

“…Data generation rates are so scary, creating pressure to implement costly and straightforward data storage and recovery processes. …”
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Fine scale mapping of water sources in low-income settings: A comparative study in Misungwi, Tanzania. by Claudia Duguay, Charles Thickstun, Jacklin F Mosha, Tatu Aziz, Alphaxard Manjurano, Alison Krentel, Natacha Protopopoff, Manisha A Kulkarni

“…Both methods were effective in identifying water sources at a fine scale, but the drone imagery involved a more time-intensive process, demanded advanced skills, and incurred a higher cost compared to the community mapping with direct field observations. …”
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GazeMap: Dual-Pathway CNN Approach for Diagnosing Alzheimer’s Disease from Gaze and Head Movements by Hyuntaek Jung, Shinwoo Ham, Hyunyoung Kil, Jung Eun Shin, Eun Yi Kim

“…Unlike conventional methods relying on linguistic, speech, or neuroimaging data, our approach leverages non-invasive video-based tracking, offering a more accessible and cost-effective solution to early AD detection. To enhance feature representation, we introduce GazeMap, a novel transformation converting 1D gaze and head pose time-series data into 2D spatial representations, effectively capturing both short- and long-term temporal interactions while mitigating missing or noisy data. …”
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Digital mapping of soil erodibility factor in response to land use change using machine learning models by Wudu Abiye, Orhan Dengiz

“…Traditional methods for measuring these variables are often time-consuming and costly. To address this, the study employed digital soil mapping (DSM) and machine learning (ML) models as efficient and cost-effective alternatives to predict soil erodibility and its indices, including clay ratio, critical level of organic matter, crust formation, dispersion ratio, and soil aggregate stability. 50 soil surface samples (0–20 cm depth) were collected from forest, agricultural, and pasture land uses. …”
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LiDAR-Based Optimized Normal Distribution Transform Localization on 3-D Map for Autonomous Navigation by Abhishek Thakur, P. Rajalakshmi

“…With the same localization accuracy, the localization process is made five times faster. LiDAR map-based autonomous driving on an electric vehicle is tested in the TiHAN testbed at the IIT Hyderabad campus in real-time. …”
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Reuse Out-of-Year Data to Enhance Land Cover Mapping via Feature Disentanglement and Contrastive Learning by Cassio F. Dantas, Raffaelle Gaetano, Claudia Paris, Dino Ienco

“…Typically, creating a LC map requires collecting high-quality labeled data, a process that is both costly and time-consuming. …”
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Kriging-Variance-Informed Multi-Robot Path Planning and Task Allocation for Efficient Mapping of Soil Properties by Laurence Roberts-Elliott, Gautham P. Das, Grzegorz Cielniak

“…However, traditional manual methods are slow, costly, and yield low spatial resolution. Deploying multiple robots with proximal sensors can address this challenge by parallelising the sampling process. …”
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Analysis of activities that generate logistical costs in an operation in Brazil to import a containerized cargo: a case study by Leonardo Melo Delfim, Pedro Henrique Monteiro da Silva, Jonas Figuerêdo Silva, Maria Silene Alexandre Leite

“…The applied methodology offers a conceptual contribution to the area of supply chain, logistics and costs. Research method In this regard, it was necessary to map the process of importing the granite prime cargo, identify the agents involved in the process, survey the activities, and segregate which activities generate logistical costs. …”
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Advanced KNN-based cost-efficient algorithm for precision localization and energy optimization in dynamic underwater sensor networks by Nadia Shamshad, Lei Wang, Kiran Saleem, Danish Sarwr, Salil Bharany, Ahmad Almogren, Jaeyoung Choi, Ateeq Ur Rehman, Ayman Altameem

“…Furthermore, the study employs the KNN-based cost-efficient method to predict nodes’ orientation in dynamic water conditions, thereby facilitating the mapping of the shortest distance between sensor nodes during the underwater context acquisition process. …”
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