Predicting turbidity dynamics in small reservoirs in central Kenya using remote sensing and machine learning by Stefanie Steinbach, Anna Bartels, Andreas Rienow, Bartholomew Thiong’o Kuria, Sander Jaap Zwart, Andrew Nelson

“…This study contributes to the relatively small body of remote sensing-based research on water quality in small reservoirs and supports improved small-scale water management.…”
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Integration and Comparative Analysis of Remote Sensing and In Situ Observations of Aerosol Optical Characteristics Beneath Clouds by Jing Chen, Jing Duan, Ling Yang, Yong Chen, Lijun Guo, Juan Cai

“…Remote Sensing…”
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A Bayesian Compressive Sensing Vehicular Location Method Based on Three-Dimensional Radio Frequency by Yunpeng Wang, Xuting Duan, Daxin Tian, Jianshan Zhou, Yingrong Lu, Guangquan Lu

“…With the goal of providing an efficient and reliable estimation of vehicular position in general traffic scenarios, we propose a hybrid TOA/DOA positioning method based on Bayesian compressive sensing (BCS), which benefits from the realization of vehicle-to-roadside wireless interaction with the dedicated short range communication. …”
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Tracing the 2018 Sulawesi Earthquake and Tsunami’s Impact on Palu, Indonesia: A Remote Sensing Analysis by Youshuang Hu, Aggeliki Barberopoulou, Magaly Koch

Subjects: “…remote sensing…”
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Simultaneous perturbation stochastic approximation–based radio occultation data assimilation for sensing atmospheric parameters by Huazheng Du, Guoye Chen, Xuegang Hu, Na Xia, Biaodian Xu

“…Global positioning system–based meteorological parameters sensing has become a hot topic in the field of satellite navigation application. …”
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Modeling and Analysis of Ecological Urban Landscape Pattern Evolution Based on Multisource Remote Sensing Data by Zhang Min, Wang Xuejie, Liu Yun

“…Considering that the development of urbanization cannot be separated from the application of landscape pattern evolution, in order to improve the development level of ecocity, a modeling analysis of ecological urban landscape pattern evolution based on multisource remote sensing data is proposed. Taking ecotype city as the research object, the remote sensing images of ecological urban landscape pattern are screened by using multisource remote sensing data and nonremote sensing data as the basic data. …”
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C3S:research of CI-based concurrent transmission strategy for intelligent sensing system by Yanyan MAO, Dapeng CHENG, Yanli FENG, Quansheng DOU, Dashe LI

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Astrocytic Acid-Sensing Ion Channel 1a Contributes to the Development of Epileptic Cognitive Impairment by Wen Li, Huimin Zhou, Xiaona Li, Gengyao Hu, Dong Wei

“…Reactive astrogliosis and acidosis, common features of epileptogenic lesions, express a high level of astrocytic acid-sensing ion channel-1a (ASIC1a), a proton-gated cation channel and key mediator of responses to neuronal injury. …”
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Soil-Landscape Modeling and Remote Sensing to Provide Spatial Representation of Soil Attributes for an Ethiopian Watershed by Nurhussen Mehammednur Seid, Birru Yitaferu, Kibebew Kibret, Feras Ziadat

“…Hence, the use of DEM and remote sensing with minimum field data provides an alternative source of spatially continuous soil attributes.…”
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A Study on Coastline Extraction and Its Trend Based on Remote Sensing Image Data Mining by Yun Zhang, Xueming Li, Jianli Zhang, Derui Song

“…In this paper, data mining theory is applied to carry out the field of the pretreatment of remote sensing images. These results show that it is an effective method for carrying out the pretreatment of low-precision remote sensing images by multisource image matching algorithm with SIFT operator, geometric correction on satellite images at scarce control points, and other techniques; the result of the coastline extracted by the edge detection method based on a chromatic aberration Canny operator has a height coincident with the actual measured result; we found that the coastline length of China is predicted to increase in the future by using the grey prediction method, with the total length reaching up to 19,471,983 m by 2015.…”
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Monitoring a Railway Bridge with Distributed Fiber Optic Sensing Using Specially Installed Fibers by Kinzo Kishida, Thein Lin Aung, Ruiyuan Lin

“…Finally, the dynamic monitoring of a bullet train using Distributed Acoustic Sensing (DAS) demonstrated the merits of fiber optic sensing for both static and dynamic measurements. …”
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Analysis of Damage due to the M6.4 Tuban-Bawean Earthquake using Remote Sensing by Tuasamu Siti Asmayanti, Cahyadi Mokhamad Nur, Komalasari Nilam, Nusantara Candida Aulia De Silva, Widodo Amien, Widjajanti Nurrohmat, Aprianti Evi, Kusumawardani Deni, Rahmawati Yessi, Azizi Iqbal Hanun

“…By combining geophysical analysis, the Okada model, and remote sensing technology, this study seeks to examine the effects following an earthquake. …”
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High-Q Fabry-Pérot Cavity Based on Micro-Lens Array for Refractive Index Sensing by Qi Wang, Xuyang Zhao, Man Luo, Yuxiang Li, Junjie Liu, Xiang Wu

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Edge computing for detection of ship and ship port from remote sensing images using YOLO by Vasavi Sanikommu, Sai Pravallika Marripudi, Harini Reddy Yekkanti, Revanth Divi, R. Chandrakanth, P. Mahindra

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A Fully Integrated Orthodontic Aligner With Force Sensing Ability for Machine Learning‐Assisted Diagnosis by Hao Feng, Wenhao Song, Ruyi Li, Linxin Yang, Xiaoxuan Chen, Jiajun Guo, Xuan Liao, Lei Ni, Zhou Zhu, Junyu Chen, Xibo Pei, Yijun Li, Jian Wang

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Lightweight multidimensional feature enhancement algorithm LPS-YOLO for UAV remote sensing target detection by Yong Lu, Minghao Sun

“…Abstract Detecting small targets in UAV remote sensing images is challenging for traditional lightweight methods due to difficulty in feature extraction and high background interference. …”
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Deep learning for compressed sensing based sparse channel estimation in FDD massive MIMO systems by Yuan HUANG, Yigang HE, Yuting WU, Tongtong CHENG, Yongbo SUI, Shuguang NING

“…For FDD massive multi-input multi-output (MIMO) downlink system, a novel deep learning method for compressed sensing based sparse channel estimation was proposed, which was called convolutional compressed sensing network (ConCSNet).In the ConCSNet, the convolutional neural network was utilized to solve the inverse transformation process from measurement vector y to signal h and solve the underdetermined optimization problem through data-driven method without sparsity.Simulation results show that the algorithm can recover the channel state information in massive MIMO Systems with unknown sparsity more quickly and accurately.…”
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Spatiotemporal Characteristics of Pearl River Water Environment in Guangzhou Based on Remote Sensing Image Inversion by LIU Mengyao, FENG Dewang

Subjects: “…remote sensing image…”
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Remote Radio Frequency Sensing Based on 5G New Radio Positioning Reference Signals by Marcin Bednarz, Tomasz P. Zielinski

Subjects: “…integrated sensing and communication (ISAC)…”
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Remotely‐Sensed Game Trails Are a Behavioral Footprint That Explains Patterns of Herbivore Habitat Use by Keenan Stears, Melissa H. Schmitt, Mike J. Peel, Tsumbedzo Ramalevha, Douglas J. McCauley, Dave I. Thompson, Deron E. Burkepile

“…Here, we used remotely sensed imagery to analyze the density of game trails with spatial environmental variables to understand landscape‐scale patterns of herbivore habitat use in an African savanna. …”
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