MRTMD: A Multi-Resolution Dataset for Evaluating Object Detection in Traffic Monitoring Systems by Mark Bugeja, Matthias Bartolo, Matthew Montebello, Dylan Seychell

“…Our analysis focuses on mean Average Precision (mAP), recall, and processing time. We also assess the accuracy of Number Plate Recognition (NPR) for tasks that require fine-grained detail extraction. …”
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Detection and localization of indigenous economic grasses in depth-color close-range aerial images, using a novel trainingless data-to-decision approach (DIKD Hierarchy), for the S... by Radhwan Sani, Tamer Rabie, Ali Cheaitou

“…Traditional open-field plant monitoring approaches are costly, labor-intensive, and risky. Under arid conditions, the risks are elevated. …”
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Research on wave measurement and simulation experiments of binocular stereo vision based on intelligent feature matching by Junjie Wu, Junjie Wu, Shizhe Chen, Shizhe Chen, Shizhe Chen, Shixuan Liu, Shixuan Liu, Shixuan Liu, Miaomiao Song, Miaomiao Song, Miaomiao Song, Bo Wang, Bo Wang, Bo Wang, Qingyang Zhang, Qingyang Zhang, Yushang Wu, Yushang Wu, Yushang Wu, Zhuo Lei, Zhuo Lei, Zhuo Lei, Jiming Zhang, Jiming Zhang, Jiming Zhang, Xingkui Yan, Xingkui Yan, Xingkui Yan, Bin Miao, Bin Miao, Bin Miao

“…Stereo vision-based wave measurement, offering non-contact, low-cost, and intelligent processing, is an emerging method. …”
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The Design and Deployment of a Self-Powered, LoRaWAN-Based IoT Environment Sensor Ensemble for Integrated Air Quality Sensing and Simulation by Lakitha O. H. Wijeratne, Daniel Kiv, John Waczak, Prabuddha Dewage, Gokul Balagopal, Mazhar Iqbal, Adam Aker, Bharana Fernando, Matthew Lary, Vinu Sooriyaarachchi, Rittik Patra, Nora Desmond, Hannah Zabiepour, Darren Xi, Vardhan Agnihotri, Seth Lee, Chris Simmons, David J. Lary

“…The next iteration of the sensors will include edge processing for short-term air quality forecasts. This work underscores the transformative role of low-cost sensor networks in urban air quality monitoring, advancing equitable policy development and empowering communities to address pollution challenges.…”
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Enhanced YOLOv8-based pavement crack detection: A high-precision approach. by ZuXuan Zhang, HongLi Zhang, TongJia Zhang

“…At present, the repair of cracks is still implemented manually, which has the problems of low identification efficiency and high labor cost. Crack detection is the key to realize the mechanical and intelligent crack repair. …”
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Mining Travel Time of Airport Ferry Network Based on Historical Trajectory Data by Cong Ding, Jun Bi, Dongfan Xie, Xiaomei Zhao, Yi Liu

“…This method saves the manpower, material resources, and time cost of on-site investigation and lays a foundation for the scheduling of ferry vehicles.…”
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Digital methods in weed control by V. Schwartau, L. Mykhalska, O. Zozulya

“…Explore the components of digital technologies to increase the efficiency of weed control and crop productivity, reduce the cost of cultivation technologies, and ensure the environmental safety of herbicide use. …”
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Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing by Sudheer Mangalampalli, Syed Shakeel Hashmi, Amit Gupta, Ganesh Reddy Karri, K. Varada Rajkumar, Tulika Chakrabarti, Prasun Chakrabarti, Martin Margala

“…Initially, priorities of all workflows calculated based on their dependencies and then calculated priorities of VMs based on electricity cost at datacenters to map workflows onto precise VMs. …”
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Virtual museums and built environment: narratives and immersive experience via multi-temporal geodata hub by Raffaella Brumana, Daniela Oreni, Sara Caspani, Mattia Previtali

“…In particular, the cartographic  heritage, in the form  of  metric  and non-metric maps, can  be  progressively  used as  a source  of  information for  innovative  narratives. …”
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A Scalable Framework for Deploying AI-Powered Wildlife Monitoring in Resource-Limited Field Environments by Md. Auhidur Rahman, Tesfalem Mehari Berhe, Luca Borgianni, Md Sabbir Ahmed, Cristian Bua, Davide Adami, Stefano Giordano

“…Meanwhile, the Raspberry Pi 5 serves as a cost-effective alternative for lightweight models. …”
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SGNet: A Structure-Guided Network with Dual-Domain Boundary Enhancement and Semantic Fusion for Skin Lesion Segmentation by Haijiao Yun, Qingyu Du, Ziqing Han, Mingjing Li, Le Yang, Xinyang Liu, Chao Wang, Weitian Ma

“…The SGNet employs the Visual Mamba (VMamba) encoder to efficiently extract multi-scale features, followed by the Dual-Domain Boundary Enhancer (DDBE), which refines boundary representations and suppresses noise through spatial and frequency-domain processing. The Semantic-Texture Fusion Unit (STFU) adaptively integrates low-level texture with high-level semantic features, while the Structure-Aware Guidance Module (SAGM) generates coarse segmentation maps to provide global structural guidance. …”
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Comparative Validation of Laser Scanning and Traditional Measurement Methods for Tunnel Convergence by HU Guojin, XIA Caichu, NI Shihao, WU Ting, LI Hangtian

“…Meanwhile, the point cloud data obtained by the 3D laser scanner, after processing, can generate tunnel unfolded maps, useful for analyzing tunnel issues such as water leakage. …”
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Direct extraction of respiratory information from pulse waves using a finger-inspired flexible pressure sensor system by Xikuan Zhang, Jin Chai, Lingxiao Xu, Shixuan Mei, Xin Wang, Yunlong Zhao, Chenyang Xue, Yongjun Wang, Danfeng Cui, Zengxing Zhang, Haiyan Zhang, Libo Gao

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Modern methods in peach (Современные методы в исследованиях генома персика (<i>Prunus persica</i>)) genome research by I. V. Rozanova, E. A. Vodiasova

“…Modern breeding is aimed at improving the quality of the fruit, extending the period of its production, increasing its resistance to unfavorable environmental conditions and reducing the total cost of production of cultivated varieties. However, peach breeding is an extremely long process: it takes 10–15 years from hybridization of the parental forms to obtaining fruit-bearing trees. …”
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A new BWO-based RGB vegetation index and ensemble learning strategy for the pests and diseases monitoring of CCB trees using unmanned aerial vehicle by Keliang Hu, Keliang Hu, Junchen Liu, Hai Xiao, Qiangguo Zeng, Jun Liu, Jun Liu, Lei Zhang, Lei Zhang, Man Li, Man Li, Zhihui Wang, Zhihui Wang

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Energy security assessment in rural communities in Brazil: A contribution to public policies by Wesly Jean, Marcel Bursztyn, Elton S. Oliveira, Júlia Lopes, Guadalupe Sátiro, Saulo Rodrigues Filho, Diego Lindoso, Juliana Dalboni Rocha, Nelson Bernal, Daniela Nogueira

“…Energy security refers to the continuous and reliable access to energy sources at an affordable cost. In rural areas, particularly in Brazil's semi-arid regions, this security is essential for the survival and development of communities. …”
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Determining Atikhisar Reservoir’s Bathymetry from Landsat-5 TM Satellite Images Using the Stumpf Algorithm by Derya Öztürk

“…These results reveal the potential of low-cost bathymetric map production for preliminary investigation and general evaluation in reservoirs with easy data processing from Landsat images.…”
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Early Breast Cancer Prediction Using Thermal Images and Hybrid Feature Extraction-Based System by Doaa Youssef, Hanan Atef, Shaimaa Gamal, Jala El-Azab, Tawfik Ismail

“…Then, an image fusion process is provided to construct one composite image retaining all the map&#x2019;s information from which a highly valuable feature vector is extracted using the histogram of oriented gradients (HOG). …”
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Mechanical Properties of Large-Volume Waste Concrete Lumps Cemented by Desert Mortar: Laboratory Tests by Hui Chen, Zhiyuan Qi, Baiyun Yu, Xinyu Li

“…In response to the high cost and environmental impact of backfill materials in Xinjiang mines, an eco-friendly, large-volume composite was developed by bonding desert-sand mortar to waste concrete. …”
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Unveiling nature's secrets: Deep learning for enhanced biogenic emission resolution by Antonio Giganti

“…As a result, various ground-based measurement techniques have been developed to sample BVOC emissions at multiple scales, from the leaf level to regional and global scales.However, current BVOC measurements are often limited in space and time, as generating a fine-grained map of BVOC emissions over a large region is costly and time-consuming. …”
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