Low-Cost, LiDAR-Based, Dynamic, Flood Risk Communication Viewer by Debra F. Laefer, Evan O’Keeffe, Kshitij Chandna, Kim Hertz, Jing Zhu, Raul Lejano, Anh Vu Vo, Michela Bertolotto, Ulrich Ofterdinger

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Improved Exponential and Cost-Weighted Hybrid Algorithm for Mobile Robot Path Planning by Ming Hu, Shuhai Jiang, Kangqian Zhou, Xunan Cao, Cun Li

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Deep learning and georeferenced RGB-D imaging for hydroponic strawberry yield mapping by Camilo Pardo-Beainy, Carlos Parra, Leonardo Solaque, Won Suk Lee

“…In general, this work presents a systematic methodology for the extraction and visualization of information in fruit crops using computer vision and deep learning, showcasing a robust yield mapping system. The approach integrates pre-processing and post-processing steps, as well as 2D–3D image acquisition, georeferencing, and processing technologies, offering thus a novel solution for accurate and efficient hydroponic strawberry yield mapping.…”
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Multimodal Explainability Using Class Activation Maps and Canonical Correlation for MI-EEG Deep Learning Classification by Marcos Loaiza-Arias, Andrés Marino Álvarez-Meza, David Cárdenas-Peña, Álvaro Ángel Orozco-Gutierrez, German Castellanos-Dominguez

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Variable granularity service function chain mapping algorithm based on microservice architecture by Xiaochun WU, Chen HONG, Yue ZHANG, Junnan ZHANG, Jingjing ZHOU

“…For the problem that the end-to-end delay of the service function chain (SFC) cannot meet the demand of delay-sensitive applications in 5G environment, a variable granularity service function chain mapping (VG-SFCM) algorithm based on microservice architecture was proposed by splitting the traditional virtualized network function (VNF) into mapping units of varying granularity.Firstly, the traditional coarse-grained VNF was decoupled into fine-grained microservice units, and then the instantiation of microservice units was reduced through the consolidation of redundant microservice units within SFC and the reuse of microservice units between SFC, thus reducing the processing time of SFC.The simulation results show that the algorithm reduces the end-to-end delay of SFC by 14.81% compared to the traditional mapping algorithm while reducing the average deployment network cost.…”
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Real-Time Road Crack Mapping Using an Optimized Convolutional Neural Network by M-Mahdi Naddaf-Sh, SeyedSaeid Hosseini, Jing Zhang, Nicholas A. Brake, Hassan Zargarzadeh

“…Finally, a heuristic algorithm is introduced to process the CNN’s output and produce the crack map. …”
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High-Resolution FMCW Radar for Small UAV Detection Using GNU Software-Defined Radio by P. Janpangngern, P. Changnam, W. Charoensiri, S. Samroeng, J. Pakprom, C. Thongsopa, A. Intarapanich, T. Thosdeekoraphat, N. Santalunai, S. Santalunai

“…The processed data is visualized as a range-doppler map, facilitating effective target tracking. …”
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A Micro-Segmentation Method Based on VLAN-VxLAN Mapping Technology by Di Li, Zhibang Yang, Siyang Yu, Mingxing Duan, Shenghong Yang

“…This method can be implemented cost-effectively, without necessitating business modifications or causing service disruptions, thereby overcoming the challenges associated with micro-segmentation deployment. …”
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Experience of using unmanned aerial photography systems for mapping the territory of the Russian Federation by S. Nekhin, A. Rubenok

“…The analysis of the methods of remote sensing of the Earth (remote sensing) used in mapping the territory of the Russian Federation (satellite imagery, aerial photography from manned and unmanned aerial vehicles - UAVs) is given. …”
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A Parallel ETL Tool Based on an Improved Chain-MapReduce Framework by Bin Wu, Xinguang Liu

“…Several optimization rules on ETL which will make the ETL process generate less MapReduce jobs to avoid unnecessary I/O and network cost were presented. …”
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Integration of HD Maps and Point Clouds: An Efficient 3D Reconstruction Framework for Autonomous Driving Applications by G. Bardak, M. Sodano, M. Scholz

“…Currently, mapping technologies and geospatial information play a critical role in accurately constituting 3D environments. …”
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Pervasive Radio Mapping of Industrial Environments Using a Virtual Reality Approach by Adrian-Valentin Nedelcu, Mihai Machedon-Pisu, Mihai Duguleana, Doru Talaba

“…The aim of this paper is to present a pervasive radio mapping system which captures (senses) data regarding the radio spectrum, using low-cost wireless sensor nodes. …”
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Optimized Airborne Millimeter-Wave InSAR for Complex Mountain Terrain Mapping by Futai Xie, Wei Wang, Xiaopeng Sun, Si Xie, Lideng Wei

“…The efficient acquisition and processing of large-scale terrain data has always been a focal point in the field of photogrammetry. …”
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A 20‐year mapping of Bayesian belief networks in software project management by Abraham L. R. deSousa, Cleidson R. B. deSouza, Rodrigo Q. Reis

“…Abstract In recent years, more software engineering researchers have focussed on methods, techniques, tools, and processes to support software project management (SPM) addressing quality, cost, and time constraints. …”
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Path planning of coal mine rescue robot based on blocked grid map by Xiaoqiang SHAO, Mingqian LIU, Bo MA, Hao LI, Zhiyue LYU, Zehui HAN

“…Blocking the input raster map before using the path planning algorithm. Blocking nodes does not disconnect the minimum cost path in the original raster map. …”
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A Complete System for Automated Semantic–Geometric Mapping of Corrosion in Industrial Environments by Rui Pimentel de Figueiredo, Stefan Nordborg Eriksen, Ignacio Rodriguez, Simon Bøgh

“…In this work, we propose a complete system for semi-automated corrosion identification and mapping in industrial environments. We leverage recent advances in three-dimensional (3D) point-cloud-based methods for localization and mapping, with vision-based semantic segmentation deep learning techniques, in order to build semantic–geometric maps of industrial environments. …”
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Simulation Modeling of Technological Processes of Logging by Konstantin P. Rukomojnikov, Tatiana V. Sergeeva, Tatiana A. Gilyazova, Evgeny М. Tsarev, Vera P. Komisar

“…The review clearly demonstrates a significant increase in the number of analyzed indicators of the natural production process in simulation modeling compared to mathematical one and a reduction in labour and material costs compared to the research of technological processes in production conditions. …”
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Development and testing of a low-cost portable soil apparent electrical conductivity sensor by José Carlos Venturin, Cristiano Márcio Alves de Souza, Esmael Dias Prado, Eduardo Leonel Bottega, Leonardo França da Silva, Sálvio Napoleão Soares Arcoverde, Fernando Mateus Paniagua Mendieta, Leidy Zulys Leyva Rafull, Victor Crespo de Oliveira

“…A critical component of this is soil analysis, which is essential for developing effective strategies that enhance productivity while minimizing environmental impacts and reducing production costs. The soil apparent electrical conductivity (ECa) sensor is a valuable tool in precision agriculture, offering a cost-effective and time-efficient alternative for soil analysis. …”
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An Efficient and Cost-Effective Vehicle Detection and Tracking System for Collision Avoidance in Foggy Weather by Naeem Raza, Muhammad Asif Habib, H. M. Sajid Imran, Abdul Qayum, Sajida Perveen, Sohail Jabbar, Shahzad Sarwar, Mudassar Ahmad

“…An Efficient and Cost-Effective Vehicle Detection and Tracking (ECE-VDT) system is proposed and is essential for real-time collision avoidance and driver assistance in foggy weather conditions. …”
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Lightweight Football Motion Recognition and Intensity Analysis Using Low-Cost Wearable Sensors by Qian Xie, Ning Jin, Shanshan Lu

“…A feature extraction scheme is designed in the initial data processing, and feature data augmentation is performed to solve the small sample data problem. …”
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