Digital technologies for water use and management in agriculture: Recent applications and future outlook by Carlos Parra-López, Saker Ben Abdallah, Guillermo Garcia-Garcia, Abdo Hassoun, Hana Trollman, Sandeep Jagtap, Sumit Gupta, Abderrahmane Aït-Kaddour, Sureerat Makmuang, Carmen Carmona-Torres

“…The review finds that these technologies offer significant potential for improving water management practices, with Remote Sensing and Artificial Intelligence emerging as the most versatile and widely adopted. …”
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A novel high-resolution eco-functional vegetation mapping of coastal dunes by Michele Innangi, Mirko Di Febbraro, Marco Balsi, Ginevra Colonna, Michele Finizio, Federica Pontieri, Maria Laura Carranza

“…Our findings underscore the potential of integrating UAV remote sensing with functional trait analysis to enhance vegetation classification accuracy and enable fine-scale spatial mapping of coastal dunes. …”
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KANT'IN BİLGİ KURAMI VE SENTETİK ÖNERMELER by Veli Urhan

“…According to Kant, while one part of our knowledge relies on both senses and thought, the other part relies on thought only. …”
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Особенности поэтики киноромана: проблема перекодирования текста by Natalia Maslenkowa

“…This seems to become even more interesting considering the fact that cinema is a synthetic art form, where the patterns which affect all the senses of perception are used to create the audio-visual image. …”
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Zero-effort projection for sensory data reconstruction in wireless sensor networks by Xiancun Zhou, Haibo Ling

“…Compressive sensing is a promising technique for data gathering in large-scale wireless sensor networks. …”
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Joint channel and impulsive noise estimation method for MIMO-OFDM systems by Xinrong LYU, Youming LI, Qiang GUO

“…Aiming at the impulsive noise occurring in MIMO-OFDM systems， a joint channel and impulsive noise estimation method based on the multiple measurement vector compressed sensing theory was proposed.The channel impulse response and the impulsive noise were combined to form a row sparse matrix to be estimated， and a multiple measurement vector compressed sensing model based on all subcarriers was constructed.As the measurement matrix was partially unknown due to the presence of unknown transmitted symbols in data tones， the multiple response sparse Bayesian learning theory and expectation maximization framework were adopted to jointly estimate the channel impulse response， the impulsive noise， and the data symbols which were regarded as unknown parameters.Compared with the existing methods， the proposed method not only utilizes all subcarriers but also does not use any a priori information of the channel and impulsive noise.The simulation results show that the proposed method achieves significant improvement on the channel estimation and bit error rate performance.…”
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Smart Parking by using Sensor Network by Chenguang Wang

“…Humanity is currently experiencing one of the short periods of transition thanks to novel sensing solutions for smart cities that bring the future to today. …”
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Space-time spectrum sharing based on game theory:dynamic access and penalty strategy by Yangyang NIU, Zhiqing WEI, Zhiyong FENG

“…To tackle the challenge of inefficient utilization of spatiotemporal spectrum resources in heterogeneous networks, a reliable spectrum sharing strategy based on game theory was proposed for scenarios where multiple secondary users dynamically access through sensing spatiotemporal spectrum opportunities.Firstly, secondary users sensed the activity state of primary users through channel sampling and subsequently seek suitable spatiotemporal spectrum opportunities.Each secondary user aimed to access more spectrum resources while preventing quality degradation between primary users.Consequently, a negotiation of individual utilities between secondary and primary users was needed, in order to reach a mixed Nash equilibrium.When the secondary user's transmission power was abnormal, its behavior would be regarded as a violation.Then, a backoff time compensation algorithm was presented to penalize the secondary users, according to the number of violations and active nodes in the network.Finally, simulation results validate the effectiveness of the spatiotemporal spectrum opportunities sharing strategy with the penalty mechanism.…”
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AI-Enhanced IoT System for Assessing Bridge Deflection in Drive-By Conditions by Leonardo Iacussi, Paolo Chiariotti, Alfredo Cigada

“…An experimental setup comprising a bridge model and vehicle equipped with a smart sensing node has been used to generate the dataset. …”
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Load forecasting based on knowledge flow and transfer learning by Wenjun ZHU, Sining WANG, Xiaoxin GAO, Qian ZHENG

“…In all things connected, comprehensive perception, intelligent decision-making information era of big data, in the information acquisition of big data and a large amount of signal processing, there are still large amount of data redundancy, calculation and the shortcoming of high cost, not in time, and no marked.The transfer learning was applied, and the knowledge flow system based on the weight impact factor for information fusion was integrated to assist the analysis and simplify the calculation for the IoT sensing system.The knowledge flow mode of transfer learning and data fusion was adopted in the IoT sensing system, and the simulation calculation of short-term load prediction was made based on the partial data of regional power consumption.The influencing factors of users’ electricity consumption behavior were analyzed, and the optimal weight distribution of influencing factors was obtained through training, so as to predict the power consumption rate.The results show that in this way, it can clearly identify the characteristics of electricity consumption behavior, and predict the energy consumption according to the characteristics of electricity consumption.…”
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Dynamic privacy measurement model and evaluation system for mobile edge crowdsensing by Mingfeng ZHAO, Chen LEI, Yang ZHONG, Jinbo XIONG

“…To tackle the problems of users not having intuitive cognition of the dynamic privacy changes contained in their sensing data in mobile edge crowdsensing (MECS) and lack of personalized privacy risk warning values in the data uploading stage, a dynamic privacy measurement (DPM) model was proposed.A structured representation of data obtained by a user participating in a sensing task was introduced and was transformed it into a numerical matrix.Then privacy attribute preference and timeliness were presented to quantify the dynamic privacy changes of data.With this, personalized privacy thresholds of users based on the numerical matrix were reasonably calculated.Finally, differential privacy processing was performed on the numerical matrix, and a model evaluation system was designed for the proposed model.The simulation results show that the DPM model was effective and practical.According to the given example, a data utility of approximately 0.7 can be achieved, and the degree of privacy protection can be significantly improved as the noise level increases, adapting to the MECS of IoT.…”
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Doppler Ambiguity Resolution Based on Random Sparse Probing Pulses by Yunjian Zhang, Zhenmiao Deng, Jianghong Shi, Linmei Ye, Maozhong Fu, Chen Zhao

“…A novel method for solving Doppler ambiguous problem based on compressed sensing (CS) theory is proposed in this paper. A pulse train with the random and sparse transmitting time is transmitted. …”
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Modeling and simulation of carbon-nanocomposite-based gas sensors by Roopa Hegde, Punya Prabha V, Shipra Upadhyay, Krishna S B

“…This paper reports simulation of a carbon monoxide gas sensor using COMSOL Multiphysics whose active sensing material used is a carbon nanocomposite (i.e., 0.1 wt % of single-walled carbon nanotubes along with PEDOT:PSS (poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate)) in an equal volume ratio of 1:1. …”
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Decoding the mystery of how bacteria “talk”: Among Gram-negative microorganisms by Wen-Si Tan, Jodi Woan-Fei Law, Vengadesh Letchumanan, Kok-Gan Chan

“…This process is termed as quorum sensing (QS) which indicates that bacteria do communicate in order to perform various physiological activities. …”
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Optimal Throughput for Cognitive Radio with Energy Harvesting in Fading Wireless Channel by Hiep Vu-Van, Insoo Koo

“…In addition, optimal sensing energy and adaptive transmission power control are also investigated in this paper to effectively utilize the limited energy of cognitive radio. …”
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Global decline in net primary production underestimated by climate models by Thomas J. Ryan-Keogh, Alessandro Tagliabue, Sandy J. Thomalla

“…Here we use contemporary remote sensing net primary production trends (1998–2023) from six remote sensing algorithms to discriminate amongst fifteen divergent model projections. …”
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Examination of the Quantitative Relationship between Vegetation Canopy Height and LAI by Yongwei Yuan, Xinsheng Wang, Fang Yin, Jinyan Zhan

“…It is difficult to obtain the data of H at the regional scale or larger scale, but the remote sensing provides the most useful and most effective method. …”
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Game-theoretical analysis of mobile contributors in mobile crowd sourcing network with word of mouth mode by Feng ZENG, Runhua WANG, Jia PENG, Zhigang CHEN

“…The crowdsourcer who calls for sensing service can recruit enough mobile contributors quickly with the word of mouth mode,improving the quality of sensing tasks.The behavior of mobile contributors in mobile crowdsourcing with the WoM was investigated.It was supposed that each mobile contributor was rational,seeking for the highest utility.The behavior of mobile contributors with a two-level Stackelberg game was formulated.In the first-level game,a mobile contributor who directly worked for the crowdsourcer acted as the leader,while contributors invited by first-level contributors were followers called the second-level contributors.In the second-level game,the second-level contributors were the leaders and contributors invited by them were followers.The Nash equilibrium for each Stackelberg game was proved was existed and unique,and designed an algorithm to reach the equilibrium.Backward induction approach to compute the best response of each game was adopted,and the simulation results show the correctness of theoretical analysis for the interaction among contributors in crowdsoucing with WoM.…”
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Topic modelling of the wetland condition assessment literature reveals trends, key gaps, and opportunities for combining different assessment techniques by Kaline de Mello, Osmar Luiz, Erica A. Garcia, Anna E. Richards

“…We identified a gap between the ‘remote sensing’ topic and most other topics, showing the importance of combining, for example, water quality and biodiversity data with remote sensing analyses for wetland condition assessment. …”
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Scenario Simulation of Ecosystem Services Based on Land Use/Land Cover Change in the Bailong River Basin, in China by Shuangying Li, Yanyan Zhou, Dongxia Yue, Zhongling Guo, Zhi Li

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