Design considerations for wavefront sensing with self-referencing interferometers in adaptive optics systems by MacGillivray Alexander C., Hristovski Ilija R., Jenne Matthias F., Reeves Andrew P., Mata Calvo Ramon, Holzman Jonathan F.

Subjects: “…wavefront sensing…”
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Spectrum sensing algorithm based on stochastic resonance and non-central F-distribution by Yuanmeng FAN, Shunlan LIU

Subjects: “…spectrum sensing…”
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Design of a polarization independent terahertz metamaterial absorber for biomedical sensing applications by Tasnim Mahfuz, Arif Hossan, Naymur Rahman

“…In this paper, a highly simplified and optimized terahertz MMA is proposed and analyzed for sensing applications. The proposed MMA is polarization-independent because of its symmetrical structure. …”
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Research on a routing task planning algorithm for LEO remote sensing constellation by Xing QI, Zhen LIU, Jiahui LIANG, Qiming ZHAO, Chang LIU

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Monitoring of agricultural drought using remote sensing data in the Sebou watershed, Morocco by El-Bouhali Abdelaziz, El Ouazani Ech-Chahdi Khadija, Amyay Mhamed

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Selective learning for sensing using shift-invariant spectrally stable undersampled networks by Ankur Verma, Ayush Goyal, Sanjay Sarma, Soundar Kumara

“…Abstract The amount of data collected for sensing tasks in scientific computing is based on the Shannon-Nyquist sampling theorem proposed in the 1940s. …”
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COMPARATIVE ANALYSIS OF NON-COOPERATIVE SPECTRUM SENSING TECHNIQUES IN COGNITIVE RADIO NETWORK by HAMMED OYEBAMIJI LASISI, OLAJIDE MICHEAL ODOFIN, MUHAMMED BABAJIDE HAMMED, IDOWU OLAMIDE HUSSEIN

Subjects: “…cognitive radio, spectrum sensing, non-cooperative, energy detection, cyclostationary feature…”
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IM-OFDM ISAC Outperforms OFDM ISAC by Combining Multiple Sensing Observations by Hugo Hawkins, Chao Xu, Lie-Liang Yang, Lajos Hanzo

Subjects: “…Integrated sensing and communication…”
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A Two-Step Compressed Spectrum Sensing Scheme for Wideband Cognitive Radio by Shengnan Yan

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State transition probability based sensing duration optimization algorithm in cognitive radio by ZHANG Xiao, WANG Jin-long, WU Qi-hui

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An Electronic Slime-Based Epidermal Electrode Using Carbon Nanocomposites for Biosignal Sensing by Yu Feng, Hui Sun, Meng Chen, Cong Wu, Jiankun Li, Zhi Li, Kremena Makasheva, Na Liu, Guanglie Zhang, Wen Jung Li

“…Epidermal sensing electrodes, a key type of advanced wearable device, play a crucial role in biosignal sensing. …”
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End-to-End Multi-Scale Adaptive Remote Sensing Image Dehazing Network by Xinhua Wang, Botao Yuan, Haoran Dong, Qiankun Hao, Zhuang Li

Subjects: “…remote sensing for defogging…”
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Guest Editorial Introduction to the Special Section on Invisible Sensing: Radar-Based Biomonitoring by Bjoern M. Eskofier, Martin Vossiek

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Remote sensing for urban heat and cool islands evaluation in semi-arid areas by M. Reisi, M. Ahmadi Nadoushan, L. Aye

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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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Multi-agent resource allocation strategy for UAV swarm-based cooperative sensing by Zhihong WANG, Supeng LENG, Kai XIONG

“…Driven by the development of intelligent internet of things (IoT) technology, unmanned aerial vehicle (UAV) swarms have been widely used for sensing and monitoring in emergency and rescue scenarios.The UAVs automatically sense and discover mission targets in the mission area, recruiting neighboring UAVs to form perception and computation task groups to collaboratively complete the perception, acquisition and processing of data.However, repetitive sensory data and imbalance in the supply and demand of computational resources between multiple tasks cause additional computational and communication overheads and increase the end-to-end processing latency.To address this challenge, a multi-task resource allocation approach combining bionics and multi-agent independent reinforcement learning was proposed, making collaborative resource allocation decisions based on local task information.The method represents the resource requirements of individual tasks as situational information concentrations and dynamically updates the heterogeneous resource requirements of each task by spreading the situational information across task groups.At the same time, it combines multi-agent independent reinforcement learning methods for intelligent decision making in order to collaboratively allocate the heterogeneous resources of each task.Simulation results show that this solution can not only effectively reduce the task execution time, but also significantly improve the computational resource utilization.…”
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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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An Improved Distributed Multi-User Cooperative Spectrum Sensing Method Based on DCS by Jianwu Zhang, Xiaoyan Chen, Xiaorong Xu

Subjects: “…distributed compressed sensing…”
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