Mapping Bus and Stream Travel Time Using Machine Learning Approaches by Gopikrishnan Nair, B. Anil Kumar, Lelitha Vanajaskshi

“…Results show that the proposed methods can efficiently map bus travel times with stream travel times with an average MAPE of 20% and perform better than existing approaches such as linear regression and artificial neural networks.…”
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When the Wind Blows: Exposing the Constraints of Drone‐Based Environmental Mapping by Jan Komárek

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Validity and Reliability of the Persian Version of Profile Fitness Mapping Neck Questionnaire by Mostafa Jalili Bafrouei, Mohammadreza Seyedi, Seyed Hossein Mirkarimpour

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Mapping the “catscape” formed by a population of pet cats with outdoor access by Richard Bischof, Nina Rosita Hansen, Øyvind Skarsgard Nyheim, Astrid Kisen, Lillian Prestmoen, Torbjørn Haugaasen

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Crop Yield Mapping with ARC using only Optical Remote Sensing by P. E. Lewis, P. E. Lewis, F. Yin, J. L. Gómez-Dans, T. Weiß, T. Weiß, E. Adam

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Physically Based Dimensionless Features for Pluvial Flood Mapping With Machine Learning by Mark S. Bartlett, Jared VanBlitterswyk, Martha Farella, Jinshu Li, Curtis Smith, Anthony J. Parolari, Lalitha Krishnamoorthy, Assaad Mrad

“…The features were calculated at different scales by varying accumulation thresholds for stream delineation. The ML flood maps, with an average AUC of 0.89, compared well with the results of 2D hydraulic models that are the basis of the Federal Emergency Management Agency flood hazard maps. …”
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Mapping activity of grazing cattle using commercial virtual fencing technology by Kareemah Chopra, Tom Craig Cameron, Roger C. Beecroft, Luke Bristow, Edward A. Codling

“…Using methods adapted from movement ecology for analysis of home range, we subsequently demonstrate how space-use and cumulative and average activity levels of grazing cattle can be spatially mapped and analyzed over time using two different approaches: a simple but computationally efficient cell-count method and a novel adapted version of a more complex Brownian Bridge Movement Model. …”
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SSR Mapping of QTLs Conferring Cold Tolerance in an Interspecific Cross of Tomato by Yang Liu, Tengxia Zhou, Haiyan Ge, Wen Pang, Lijie Gao, Li Ren, Huoying Chen

“…The continuous and normal distribution of RGR and CI in RIL population suggested that the trait of cold tolerance was a typically quantitative trait controlled by multigenes. The molecular linkage map was constructed by using 120 simple-sequence repeat (SSR) markers, resulting in 15 linkage groups, with a total distance of 256.8 cM and average interval of 2.14 cM. …”
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Mapping of schistosomiasis and soil-transmitted helminthiases across 15 provinces of Angola. by Elsa Palma Mendes, Hajra Okhai, Rilda Epifânia Cristóvão, Maria Cecília Almeida, Nzuzi Katondi, Ricardo Thompson, Sylvain Mupoyi, Pauline Mwinzi, Onesime Ndayishimiye, Ferdinand Djerandouba, Mary Chimbilli, Julio Ramirez, Erna Van Goor, Sergio Lopes

“…A total of 640 schools and an average of 50 students per school (N = 31,938 children) were sampled. …”
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Mapping protection effects and gaps of forest dynamics in Europe 2012 to 2018 by Manuel Wolff, Benjamin Labohm, Dagmar Haase, Erik Andersson

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Mapping Burned Area in the Caatinga Biome: Employing Deep Learning Techniques by Washington J. S. Franca Rocha, Rodrigo N. Vasconcelos, Soltan Galano Duverger, Diego P. Costa, Nerivaldo A. Santos, Rafael O. Franca Rocha, Mariana M. M. de Santana, Ane A. C. Alencar, Vera L. S. Arruda, Wallace Vieira da Silva, Jefferson Ferreira-Ferreira, Mariana Oliveira, Leonardo da Silva Barbosa, Carlos Leandro Cordeiro

“…Utilizing deep neural network (DNN) models, we mapped burned areas across the Caatinga biome from 1985 to 2023, based on Landsat-derived annual quality mosaics and minimum NBR values. …”
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The Impact of the 5E Learning Model Improved with Concept Maps on Motivation by Lütfiye Varoğlu, Ayhan Yilmaz, Şenol Şen

“…Although the EG students’ averages for other sub-dimensions were higher than the CG students’ averages, no significant difference was found between the groups.…”
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Mapping open dumps and waste dynamics in a subtropical ecoregion of Argentina by Agustina Malizia, Alberto Galindo-Cardona, Emiliano Matias, Patricio Gallardo García Freire, Javier Foguet, A. Carolina Monmany-Garzia

“…This study focused on detecting and mapping open dumps in the most densely populated province, Tucumán, using satellite imagery and unmanned aerial vehicles (UAV). …”
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Use GIS technical to map natural radioactivity in soil samples for the University of Kufa, Iraq by Abrrar Abbas Ibrahim, Abdalsattar K. Hashim, Ali Abid Abojassim

“…GIS ''Geographic Information System'' technology was used to map the specific activity (S.A.) of primordial radionuclides 238U, 232Th, and 40K in selected soil samples for twelve locations at the University of Kufa, Iraq. …”
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Positioning optimization method based on indoor map deduction and signal through-wall correction by Dayang SUN, Wenxiao SHI, Dingguo ZHANG

“…An optimization method of through-wall corrected positioning based on mixed measurements of through-wall ranging and LoS ranging was proposed to solve the problem caused by NLoS measurement error.An approximate model of through-wall measurements was first proposed aiming at the typical through-wall NLoS scenario, which made indoor positioning method independent to the factors of the signal incident angle, the structure, the dielectric constant and the thickness of the wall.Then with the help of map deduction, whether there was a wall between the to-be-located node and the anchor node could be judged, and the positioning optimization method was proposed so that localization can be solved with only the redundant measurements.Simulations and UWB experiments show that in a variable map scenario considering through-wall propagation the proposed method outperforms SR-WLS (squared-range and weighted least square) in the aspect of average accuracy of indoor positioning.…”
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Positioning optimization method based on indoor map deduction and signal through-wall correction by Dayang SUN, Wenxiao SHI, Dingguo ZHANG

“…An optimization method of through-wall corrected positioning based on mixed measurements of through-wall ranging and LoS ranging was proposed to solve the problem caused by NLoS measurement error.An approximate model of through-wall measurements was first proposed aiming at the typical through-wall NLoS scenario, which made indoor positioning method independent to the factors of the signal incident angle, the structure, the dielectric constant and the thickness of the wall.Then with the help of map deduction, whether there was a wall between the to-be-located node and the anchor node could be judged, and the positioning optimization method was proposed so that localization can be solved with only the redundant measurements.Simulations and UWB experiments show that in a variable map scenario considering through-wall propagation the proposed method outperforms SR-WLS (squared-range and weighted least square) in the aspect of average accuracy of indoor positioning.…”
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Construction of an integrated linkage map of sugarcane using unigene-derived microsatellite (SSR) markers by Sujeet P. Singh, Jyoti Rasogi, Chethana Ck, R.K. Singh, A. Nigam, Ram Baran Singh

“…Out of 815 markers, 324 markers were scattered onto 107 linkage groups (LGs) and for all the linkage maps, the cumulative genome length was found to be 7608.7 cM, with an average length of 71.11 cM per LG. …”
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Research on Two-Dimensional Digital Map Modeling Method Based on UAV Aerial Images by Han Wang, Kai Zong, Dongfeng Gao, Xuerui Xu, Yanwei Wang

“…Accurate acquisition of two-dimensional digital maps of disaster sites is crucial for rapid and effective emergency response. …”
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Robust Image Encryption with 2D Hyperchaotic Map and Dynamic DNA-Zigzag Encoding by Haijun Zhang, Xiaojiao Liu, Kehan Chen, Rigen Te, Fei Yan

“…This study presents a novel two-dimensional hyperchaotic map, referred to as the 2D exponent-logarithm-sine chaotic map (2D-ELSCM), which is intricately designed through the interplay of exponential, logarithmic, and sine functions. …”
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Ionospheric Scale Index Map Based on TEC Data for Space Weather Studies and Applications by C. M. Denardini, G. A. S. Picanço, P. F. Barbosa Neto, P. A. B. Nogueira, C. S. Carmo, L. C. A. Resende, J. Moro, S. S. Chen, E. Romero‐Hernandez, R. P. Silva, A. V. Bilibio

“…Afterward, the DIX maps are obtained to reveal the variation of the TEC over an average quiet ionosphere background. …”
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