Combining UAV-Based Multispectral and Thermal Images to Diagnosing Dryness Under Different Crop Areas on the Loess Plateau by Juan Zhang, Yuan Qi, Qian Li, Jinlong Zhang, Rui Yang, Hongwei Wang, Xiangfeng Li

“…Multispectral and thermal infrared sensors mounted on the UAV were used to collect high-resolution multispectral and thermal images. …”
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Metacavities by harnessing the linear-crossing metamaterials by Wu Jiaju, Guo Zhiwei, Qi Xin, Wei Qian, He Li, Fang Kai, Sun Yong, Li Yunhui, Chen Yuguang, Jiang Haitao, Chen Hong

“…Our work offers a new avenue for designing optical resonators excited by the point source in integrated photonics, which is very useful for high-efficiency filters, ultrasensitive sensors, and enhancement of light–matter interactions.…”
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Analyzing Land Use/Land Cover Changes Using Google Earth Engine and Random Forest Algorithm and Their Implications to the Management of Land Degradation in the Upper Tekeze Basin,... by Alemu Eshetu Fentaw, Assefa Abegaz

“…Landsat surface reflectance images from Landsat Thematic Mapper (TM) (1990, 2000, and 2010) and Landsat 8 Operational land imager (OLI) sensors (2021) were used. Besides, auxiliary data were utilized to improve the classification of LULC classes. …”
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QoE-Driven Big Data Management in Pervasive Edge Computing Environment by Qianyu Meng, Kun Wang, Xiaoming He, Minyi Guo

“…However, the combined impact of the storage, delivery, and sensors used in various types of edge devices in this environment is producing volumes of high-dimensional big data that are increasingly pervasive and redundant. …”
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mmPrivPose3D: A dataset for pose estimation and gesture command recognition in human-robot collaboration using frequency modulated continuous wave 60Hhz RaDARMendeley Data by Nima Roshandel, Constantin Scholz, Hoang-Long Cao, Milan Amighi, Hamed Firouzipouyaei, Aleksander Burkiewicz, Sebastien Menet, Felipe Ballen-Moreno, Dylan Warawout Sisavath, Emil Imrith, Antonio Paolillo, Jan Genoe, Bram Vanderborght

“…In contrast, using RaDAR sensors offers a privacy-preserving alternative, as they can output point-cloud data rather than images. …”
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Vertical Profiles and Chemical Properties of Aerosol Particles upon Ny-Ålesund (Svalbard Islands) by B. Moroni, S. Becagli, E. Bolzacchini, M. Busetto, D. Cappelletti, S. Crocchianti, L. Ferrero, D. Frosini, C. Lanconelli, A. Lupi, M. Maturilli, M. Mazzola, M. G. Perrone, G. Sangiorgi, R. Traversi, R. Udisti, A. Viola, V. Vitale

“…Size-segregated particle samples were collected in the Arctic (Ny-Ålesund, Svalbard) in April 2011 both at ground level and in the free atmosphere exploiting a tethered balloon equipped also with an optical particle counter (OPC) and meteorological sensors. Individual particle properties were investigated by scanning electron microscopy coupled with energy dispersive microanalysis (SEM-EDS). …”
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Advancing sensitivity with laser-scribed graphene interdigitated electrodes in water quality monitoring by Ceren Durmus, Abdullah Bukhamsin, José Ilton de Oliveira Filho, Khaled Nabil Salama

“…By minimizing the gap distance between the working and auxiliary electrodes of laser-scribed graphene interdigitated electrodes (LSG-IDEs), the sensitivity of the sensors was improved. The developed platform was compared to a standard LSGE design, and the LSG-IDEs achieved an 18.6-fold and 70-fold improvement in detection limits for PCM and ASP, respectively. …”
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ForestAlign: Automatic forest structure-based alignment for multi-view TLS and ALS point clouds by Juan Castorena, L. Turin Dickman, Adam J. Killebrew, James R. Gattiker, Rod Linn, E. Louise Loudermilk

“…This enables advanced computational tools for analysis, planning, and ecosystem management. LiDAR sensors, available through terrestrial (TLS) and aerial (ALS) scanning platforms, have become established as primary technologies for forest monitoring due to their capability to rapidly collect precise 3D structural information directly. …”
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Improving the Generalizability and Robustness of Large-Scale Traffic Signal Control by Tianyu Shi, Francois-Xavier Devailly, Denis Larocque, Laurent Charlin

“…Compared to traditional approaches, RL approaches can learn from higher-dimensionality input road and vehicle sensors and better adapt to varying traffic conditions resulting in reduced travel times (in simulation). …”
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End-to-end dataflow engineering framework of honey manufacturing from intermediates to process by TAS1R2@AuNPs/SPCE biosensor coupled with quality transfer principle by Xiaoyan Hu, Jingqi Zeng, Lijuan Ma, Xiaomeng Wang, Jing Du, Lu Yao, Zhisheng Wu

“…Firstly, 650 pivotal data points of physical and chemical quality attributes from 65 batches of honey intermediates were characterized through multiple sensors, which included rheological properties, acidity, moisture, and sugars. …”
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Coherent harmonic generation of magnons in spin textures by Guibin Lan, Kang-Yuan Liu, Zhenyu Wang, Fan Xia, Hongjun Xu, Tengyu Guo, Yu Zhang, Bin He, Jiahui Li, Caihua Wan, Gerrit E. W. Bauer, Peng Yan, Gang-Qin Liu, Xin-Yu Pan, Xiufeng Han, Guoqiang Yu

“…Here, using in-situ diamond sensors, we study the coherent harmonic generation of spin waves in a soft ferromagnet. …”
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Expression of genes of cytokines, transcription factors and differentiation antigens in human dendritic cells activated by double-stranded DNA by A. S. Proskurina, K. E. Orishchenko, E. A. Potter, E. V. Dolgova, A. V. Spaselnikova, G. S. Ritter, N. A. Varaksin, T. G. Ryabicheva, O. Y. Leplina, A. A. Ostanin, E. R. Chernykh, S. S. Bogachev

“…The stimulatory effect of DNA on DCs is mediated by the TLR9 signaling pathway and/or through a system of cytosolic sensors and is manifested by increased expression of MHC class II antigens and costimulatory molecules and by increased synthesis of immunoregulatory cytokines. …”
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Estimation of the drift velocity of Equatorial Plasma Bubbles using GNSS and digisonde data by Navas-Portella Víctor, Altadill David, Blanch Estefania, Altadill Mar, Segarra Antoni, de Paula Víctor, Timoté Cristhian Camilo, Juan José Miguel

“…Applying the capabilities of this new method in a dense network of GNSS sensors, we have developed an interferometric procedure for estimating EPB drift velocities, including both speed and direction. …”
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Sentinel-1-Aided Mutual Calibration of TanDEM-X DEMs for the Estimation of Height and Volume Changes by Carolina Gonzalez, Luca Dell'Amore, Jose-Luis Bueso-Bello, Pietro Milillo, Gabriele Schwaizer, Thomas Nagler, Paola Rizzoli

“…This calibration is in general performed by utilizing reference tie-points, whose location and height is known <italic>a priori</italic>, or estimated through other reference sensors, such as GPS or LiDAR data. The manual procedure is time-consuming and can be jeopardized by the absence of available external reference points. …”
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The latest diagnostic methods for esophageal and gastric examinations. High-resolution manometry is now available in Ukraine by Yu.M. Stepanov, N.V. Prolom, S.O. Tarabarov

“…One of the main advantages of HR manometry is accurate diagnosis of functional esophageal disorders due to the use of special catheters with numerous sensors located at a short distance from each other (about 1 cm). …”
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Distribution and Variation of Mining-Induced Stress in the Reverse Fault-Affected Coal Body by Rui Zhou, Yujin Qin, Zhizhen Zhang

“…Finally, intrinsically safe GZY25 borehole stress sensors were used to monitor the coal body stresses in the reverse fault area under the influence of mining in Xinchun Coal Mine and ZuoQiuka Coal Mine. …”
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Reinforcement learning based route optimization model to enhance energy efficiency in internet of vehicles by Quadeer Hussain, Ahmad Shukri Mohd Noor, Muhammad Mukhtar Qureshi, Jianqiang Li, Atta-ur Rahman, Aghiad Bakry, Tariq Mahmood, Amjad Rehman

“…Specific problems are related to energy consumption for transmitting information, distributing energy loads across the vehicle’s sensors and communication units, and designing energy-efficient approaches to processing received data and making decisions in the context of the IoV environment. …”
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A customized convolutional neural network-based approach for weeds identification in cotton crops by Hafiz Muhammad Faisal, Muhammad Aqib, Muhammad Aqib, Khalid Mahmood, Mejdl Safran, Sultan Alfarhood, Imran Ashraf

“…Weeds and pest infestation can be controlled through advanced digital gadgets like sensors and cameras which can provide a bulk of data to work with. …”
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Advancing Horticultural Crop Loss Reduction Through Robotic and AI Technologies: Innovations, Applications, and Practical Implications by H. W. Gammanpila, M. A. Nethmini Sashika, S. V. G. N. Priyadarshani

“…Robotic systems have been devised to automate labor-intensive tasks involved in horticulture, such as harvesting, pruning, and weeding. Equipped with sensors, cameras, and intelligent algorithms, these robots are capable of identifying ripe fruits, detecting and removing weeds, and performing precise pruning operations. …”
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Improved Estimation of Aboveground Biomass in Rubber Plantations Using Deep Learning on UAV Multispectral Imagery by Hongjian Tan, Weili Kou, Weiheng Xu, Leiguang Wang, Huan Wang, Ning Lu

“…The accurate estimation of aboveground biomass (AGB) in rubber plantations is essential for predicting rubber production and assessing carbon storage. Multispectral sensors mounted on unmanned aerial vehicles (UAVs) can obtain high spatiotemporal resolution imagery of rubber plantations, offering significant advantages in capturing fine structural details and heterogeneity. …”
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