Designing of Fiber Bragg Gratings for Long-Distance Optical Fiber Sensing Networks by Janis Braunfelds, Elvis Haritonovs, Ugis Senkans, Inna Kurbatska, Ints Murans, Jurgis Porins, Sandis Spolitis

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Mapping Agricultural Frozen Soil on the Watershed Scale Using Remote Sensing Data by Jalal Khaldoune, Eric Van Bochove, Monique Bernier, Michel C. Nolin

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Developing an On-Demand Cloud-Based Sensing-as-a-Service System for Internet of Things by Mihui Kim, Mihir Asthana, Siddhartha Bhargava, Kartik Krishnan Iyyer, Rohan Tangadpalliwar, Jerry Gao

“…The increasing number of Internet of Things (IoT) devices with various sensors has resulted in a focus on Cloud-based sensing-as-a-service (CSaaS) as a new value-added service, for example, providing temperature-sensing data via a cloud computing system. …”
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A Secure Cooperative Spectrum Sensing Scheme in Mobile Cognitive Radio Networks by Jun Du, Daoxing Guo, Bangning Zhang, Ligang Shang

“…The reliability of cooperative spectrum sensing (CSS) can be severely degraded by the falsified spectrum sensing reports provided by malicious secondary users (SUs). …”
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The biodiversity survey of the Cape (BioSCape), integrating remote sensing with biodiversity science by Anabelle W. Cardoso, Erin L. Hestir, Jasper A. Slingsby, Cherie J. Forbes, Glenn R. Moncrieff, Woody Turner, Andrew L. Skowno, Jacob Nesslage, Philip G. Brodrick, Keith D. Gaddis, Adam M. Wilson

“…Abstract There are repeated calls for remote sensing observations to produce accessible data products that improve our understanding and conservation of biodiversity. …”
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Assessment of LiDAR-Based Sensing Technologies in Bird–Drone Collision Scenarios by Paula Seoane, Enrique Aldao, Fernando Veiga-López, Higinio González-Jorge

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Investigating Smartphone-Based Sensing Features for Depression Severity Prediction: Observation Study by Yannik Terhorst, Eva-Maria Messner, Kennedy Opoku Asare, Christian Montag, Christopher Kannen, Harald Baumeister

“…This process, called smart sensing, allows a fine-grained assessment of various features (eg, time spent at home based on the GPS sensor). …”
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Synthesis and Humidity Sensing Properties of Sn-Doped Nano-TiO2 by P. Raji, H. S. Binitha, K. Balachandra Kumar

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Types of Unmanned Aerial Vehicles (UAVs), Sensing Technologies, and Software for Agricultural Applications by Sri Charan Kakarla, Yiannis Ampatzidis

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Application of Remote Sensing Image Data Scene Generation Method in Smart City by Yuanjin Xu

“…Remote sensing image simulation is a very effective method to verify the feasibility of sensor devices for ground observation. …”
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Trap Assisted Dynamic Mechanoluminescence Toward Self‐Referencing and Visualized Strain Sensing by Tianli Wang, Pengfei Zhang, Jianqiang Xiao, Ziyi Guo, Xiongwu Xie, Jiahao Huang, Jiaojiao Zheng, Xuhui Xu, Lei Zhao

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Knowledge and smart sensing for an accessible city. Experimenting on the territory of Friuli Venezia Giulia by Mickeal Milocco Borlini, Christina Conti

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Multi-Structure-Based Refractive Index Sensor and Its Application in Temperature Sensing by Zhaokun Yan, Shubin Yan, Ziheng Xu, Changxing Chen, Yuhao Cao, Xiaoran Yan, Chong Wang, Taiquan Wu

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Improved Generalized Sparsity Adaptive Matching Pursuit Algorithm Based on Compressive Sensing by Zhao Liquan, Ma Ke, Jia Yanfei

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Emotion Estimation Using Noncontact Environmental Sensing with Machine and Deep Learning Models by Tsumugi Isogami, Nobuyoshi Komuro

Subjects: “…non-contact environmental sensing…”
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Automatic Task Planning and Its On-Orbit Verification of Agile Remote Sensing Satellite by Zhang Yahang, Yang Haiyue, Yang Mengfei, Yang Ruochu, Leng Shuhang

“…An on-board autonomous task planning system is designed and implemented in this article, aiming at the problem that the current remote sensing satellite needs complex instruction support to perform tasks and depends on the ground system too much. …”
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Compressed Sensing Based on the Characteristic Correlation of ECG in Hybrid Wireless Sensor Network by Weiwei Li, Ting Jiang, Ning Wang

“…One of the features of WBAN is that its power consumption and sampling rate should be restricted to a minimum. Compressed sensing (CS) is an emerging signal acquisition/compression methodology which offers a prominent alternative to traditional signal acquisition. …”
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On the Null Space Property of lq-Minimization for 0<q≤1 in Compressed Sensing by Yi Gao, Jigen Peng, Shigang Yue, Yuan Zhao

“…The paper discusses the relationship between the null space property (NSP) and the lq-minimization in compressed sensing. Several versions of the null space property, that is, the lq stable NSP, the lq robust NSP, and the lq,p robust NSP for 0<p≤q<1 based on the standard lq NSP, are proposed, and their equivalent forms are derived. …”
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Air temperature estimation based on environmental parameters using remote sensing data by Chenoor Mohammadi, Manouchehr Farajzadeh, Yousef Ghavdel Rahimi, Abbas Ali Aliakbar Bidokhti

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Historical Feature Pattern Extraction Based Network Attack Situation Sensing Algorithm by Yong Zeng, Dacheng Liu, Zhou Lei

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