Real-Time Human Motion Capture Driven by a Wireless Sensor Network by Peng-zhan Chen, Jie Li, Man Luo, Nian-hua Zhu

“…With the development of inertial sensing technology, motion capture systems that are based on inertial sensing have become a research hot spot. …”
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Assessing coupling between soil temperature and potential air temperature using PALM-4U: implications for idealized scenarios by P. Glocke, C. C. Holst, B. Khan, B. Khan, S. A. Benz

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Potential to recover a record of Holocene climate and sea ice from Müller Ice Cap, Canada by David Armond Lilien, Niels Fabrin Nymand, Tamara Annina Gerber, Daniel Steinhage, Daniela Jansen, Laura Thomson, Madeline Myers, Steven Franke, Drew Taylor, Prasad Gogineni, Marcos Lemes, Bo Møllesøe Vinther, Dorthe Dahl-Jensen

“…Here, we present a suite of field measurements, complemented by remote sensing, that constrain the ice thickness, accumulation rate, temperature, ice-flow velocity, and surface-elevation change of Müller Ice Cap. …”
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A Systematic Review of the UAV Technology Usage in ASEAN by Adel Gohari, B. ANUAR AHMAD, Lawali Rabiu, B. A. RUZAIRI RAHIM, A.S.M. Supa'at, I. M. NASSRIN ELAMIN, M. MOHAMMED GISMALLA, Suhail Ibrahim Al-Dharrab, A. ROZEHA RASHID, Sophan Wahyudi Nawawi, Nazri Nasir, Mohd Adib Bin Sarijari, B. NORHADIJA DARWIN, Ali Hussein Muqaibel

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Statistical Downscaling Method for Vegetation Optical Depth Based on NDVI by Wang Xinyu, Fang Shibo, Han Jiahao

“…One involves integrating active microwave remote sensing, while the other involves integrating optical remote sensing.Currently, there is limited research focused on downscaling VOD, particularly using optical vegetation indices, which is very uncommon.Thus, statistical methods can be employed in conjunction with NDVI to spatially downscale VOD, exploring the feasibility of using optical remote sensing data for VOD downscaling. …”
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Seasonal variation of underwater sound propagation in the Beibu Gulf by Feihong Zeng, Feihong Zeng, Lingling Xie, Lingling Xie, Lingling Xie, Mingming Li, Mingming Li, Mingming Li, Qiang Li, Qiang Li, Qiang Li, Simeng Liu, Simeng Liu

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First-principles and machine-learning approaches for interpreting and predicting the properties of MXenes by José D. Gouveia, Tiago L. P. Galvão, Kais Iben Nassar, José R. B. Gomes

“…Abstract MXenes are a versatile family of 2D inorganic materials with applications in energy storage, shielding, sensing, and catalysis. This review highlights computational studies using density functional theory and machine-learning approaches to explore their structure (stacking, functionalization, doping), properties (electronic, mechanical, magnetic), and application potential. …”
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Multi-Scale Assessment of GPM Satellite Precipitation Products in Weihe River Basin by GUO Binbin, DAI Zhong

“…To explore the accuracy and applicability of near real-time (IMERG-Early, IMERG-Late and GSMaP-NRT) and post-real-time (IMERG-Final, GSMaP-Gauge and GSMaP-MVK) remote sensing precipitation products from the global precipitation measurement (GPM) program in complex terrain basins, this study conducted a comprehensive assessment on the accuracy evaluation indexes (CC, RMSE and BIAS) and precipitation capacity detection indexes (POD, FAR and CSI) of remote sensing precipitation based on rain gauge data in the Weihe River Basin across various spatial and temporal scales. …”
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Influência da acurácia de completude na delimitação de áreas de preservação permanente by Mayara Soares de Sousa, Tony Vinicius Moreira Sampaio

“…Currently, Geographic Information Systems (GIS) associated with remote sensing products are presented as ancillary tools in the delimitation of PPA’s, because they have low cost and optimize the time necessary to identify and delimit them. …”
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Geographic risk assessment of Batrachochytrium salamandrivorans invasion in Costa Rica as a means of informing emergence management and mitigation. by Henry C Adams, Katherine E Markham, Marguerite Madden, Matthew J Gray, Federico Bolanos Vives, Gerardo Chaves, Sonia M Hernandez

“…Remotely-sensed risk assessments of emerging, invasive pathogens are key to targeted surveillance and outbreak responses. …”
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Utilization of NDVI, VTCI and WDI indices in analyzing the effects of drought severity and duration on vegetation density in Siminehrood catchment by Parviz zeaiean Firoozabadi

“…Various satellite remote sensing data, images and products have proven their place in drought, drought and agriculture studies since the production of this type of information resource. …”
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Evaluation of land use change, modeling and prediction of areas susceptible to physical development of the city (Case Study: Nurabad Mamasani Town) by rahman zandi, najmeh shafiei, ebrahim akbari, ali hajizadeh shikhanlo

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Upper‐Atmosphere Mass Density Variations From CASSIOPE Precise Orbits by Andrés Calabia, Shuanggen Jin

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Evaluating the Adequacy of MODIS in the Assessment of Drought (Case Study: Urmia Lake Basin) by Mohammadhusayn Rezaeimoghadam, Khalil Valizadeh Kamran, Hashem Rostamzadeh, Ali Rezaee

“…Hence, the indicators are used to determine the intensity and vastity of the drought. Using remote sensing science, we can study Drought over its effects on plants and Agriculture and achieve more precise and influential results for drought Modeling. …”
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Energy-efficient sampling and transmission scheme in wireless multimedia sensor networks by SHA Chao1, SUN Li-juan1, WANG Ru-chuan1, HUANG Hai-ping1

“…An energy-efficient data sampling and transmission method in wireless multimedia sensor networks was proposed.Node’s sensing direction could be adjusted with the help of Voronoi diagram which enhances network coverage level.And energy consumption on sampling was reduced on the basis of periodical sleeping as well as different sampling granularities.Moreover,the transmission overhead was further brought down by means of color block matching.Simulation results show that this method obtains satisfactory performance on prolonging networks lifetime.…”
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Applications of Artificial Intelligence for Precision Agriculture by Yiannis Ampatzidis

“… Technological advances in computer vision, mechatronics, artificial intelligence and machine learning have enabled the development and implementation of remote sensing technologies for plant/weed/pest/disease identification and management. …”
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Carbon Nanostructure-based Sensors: A Brief Review on Recent Advances by Vinícius D. N. Bezzon, Thaís L. A. Montanheiro, Beatriz R. C. de Menezes, Renata G. Ribas, Victor A. N. Righetti, Karla F. Rodrigues, Gilmar P. Thim

“…The main results for carbon nanotubes, nanodiamonds, fullerene, graphene, and hybrid carbon-nanostructured devices that show sensing properties in different fields were considered for the discussions. …”
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Anticollocated Backstepping Observer Design for a Class of Coupled Reaction-Diffusion PDEs by Antonello Baccoli, Alessandro Pisano

“…The state observation problem is tackled for a system of n coupled reaction-diffusion PDEs, possessing the same diffusivity parameter and equipped with boundary sensing devices. Particularly, a backstepping-based observer is designed and the exponential stability of the error system is proven with an arbitrarily fast convergence rate. …”
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Evolution actuelle du modèle urbain colonial français à travers la place et les fonctions du végétal dans la ville de Toliara (Sud-Ouest Madagascar) by Aude Nuscia Taïbi, Mustapha El Hannani, Félicitée Rejo-Fienena

“…The methodology is based on an in-situ field analysis (2016) combined with aerial (1949) and satellite remote sensing (2015).…”
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Applications of Artificial Intelligence for Precision Agriculture by Yiannis Ampatzidis

“… Technological advances in computer vision, mechatronics, artificial intelligence and machine learning have enabled the development and implementation of remote sensing technologies for plant/weed/pest/disease identification and management. …”
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