Predictive modeling of soil profiles for precision agriculture: a case study in safflower cultivation environments by Megha Sharma, Shailendra Goel, Ani A. Elias

“…Random Forest model was found to be the best performing with average prediction accuracy above 85% in all test settings which reached 100% in some. …”
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Improving Location-Based Thermal Emission Side-Channel Analysis Using Iterative Transfer Learning by Kai Zhang, Tun-Chieh Lou, Chung-Che Wang, Jyh-Shing Roger Jang, Henian Li, Lang Lin, Norman Chang

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Deep learning-based encryption scheme for medical images using DCGAN and virtual planet domain by Manish Kumar, Aneesh Sreevallabh Chivukula, Gunjan Barua

“…The method uses a Deep Learning (DL) framework to generate a decoy image, which forms the basis for generating encryption keys using a timestamp, nonce, and 1-D Exponential Chebyshev map (1-DEC). Experimental results validate the efficacy of the approach in safeguarding medical images from various security threats, including unauthorized access, tampering, and adversarial attacks. …”
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Fluvial and pluvial flood hazard mapping: combining basin and municipal scale assessment by Matej Vojtek, Soheyl Moradi, Davide Luciano De Luca, Andrea Petroselli, Jana Vojteková

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The Use of Concept Maps in the Process of Independent Study of Educational Material in Higher Mathematics by Larisa Norik, Irina Lebedeva

“… The purpose of the article is to analyze the impact of concept mapping on the level and quality of assimilation of learning material in higher mathematics in the process of independent study. …”
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Using Dendritic Heat Maps to Simultaneously Display Genotype Divergence with Phenotype Divergence. by Matthew Kellom, Jason Raymond

“…We discuss the minimum-, maximum-, average-, and centroid-linkage algorithm approaches to building dendritic heat maps and make a case for the divisive "top-down" centroid-based clustering methodology as being the best option visualize the effects of changing factors on clustering hierarchy and relative abundance.…”
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Geotechnical mapping of lateritic gravels for efficient road construction in Cameroon’s intertropical zone by Carlos Foko Tamba, Lucas Kengni, Paul Tematio, Isabelle D. Wolf, Lauric Tontsa

“…Those with moderately good geotechnical characteristics are located in areas with average slopes of 5° and at average altitudes of 1570 m. …”
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Variable granularity service function chain mapping algorithm based on microservice architecture by Xiaochun WU, Chen HONG, Yue ZHANG, Junnan ZHANG, Jingjing ZHOU

“…For the problem that the end-to-end delay of the service function chain (SFC) cannot meet the demand of delay-sensitive applications in 5G environment, a variable granularity service function chain mapping (VG-SFCM) algorithm based on microservice architecture was proposed by splitting the traditional virtualized network function (VNF) into mapping units of varying granularity.Firstly, the traditional coarse-grained VNF was decoupled into fine-grained microservice units, and then the instantiation of microservice units was reduced through the consolidation of redundant microservice units within SFC and the reuse of microservice units between SFC, thus reducing the processing time of SFC.The simulation results show that the algorithm reduces the end-to-end delay of SFC by 14.81% compared to the traditional mapping algorithm while reducing the average deployment network cost.…”
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Generalized Logistic Maps in the Complex Plane: Structure, Symmetry, and Escape-Time Dynamics by Krzysztof Gdawiec, Muhammad Tanveer

“…Furthermore, we examine how variations in a key parameter of the generalised map affect two critical numerical metrics: the average escape time and the non-escaping area index. …”
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A Review of Personalised Cardiac Computational Modelling Using Electroanatomical Mapping Data by Ovais A Jaffery, Lea Melki, Gregory Slabaugh, Wilson W Good, Caroline H Roney

“…The predictive features of these personalised electrophysiology models hold the promise of providing optimal treatment planning, which is currently limited in the clinic owing to reliance on a population-based or average patient approach. The generation of a personalised electrophysiology model entails a sequence of steps for which a range of activation mapping, calibration methods and therapy simulation pipelines have been suggested. …”
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Mapping the research landscape of immune response in human brucellosis: a bibliometric analysis by Lingling Wang, Peipei Lu, Xuhong Wang, Xue Song, Xuewei Tong, Shuting Yang, Zhiwei Li

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Bibliometric Analysis of The 40 Years Literature On Vertebral Fractures With Science Mapping Method by Ahmet Karaoglu

“…Word Cloud, Frequency Table, Trend Topics, and Co-occurrence Networks were examined. Thematic Maps and Thematic Evolution Maps were also constructed. …”
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DEVELOPMENT ELECTRONIC MAPS OF ECOLOGICAL STATUS OF WATER OBJECTS OF THE VOLGA RIVER DELTA by Z. N. Isenalieva, I. V. Volkova, V. I. Egorova, N. O. Meshcheryakova, Z. A. Shkvarnikova

“…Applying an integrated approach to the study of biological indicators of water quality. Created digitized map of the quality of aquatic ecosystems of the Volga River delta. …”
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Soil erosion susceptibility maps and raster dataset for the hydrological basins of North Africa by Adil Salhi, Sara Benabdelouahab, Essam Heggy

“…We generate soil erosion maps for the major hydrological basins of North Africa using Google Earth Engine and multiple hydroclimatic and land use datasets, covering 5.8 million square kilometers. …”
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Improving the Regional Precipitation Simulation Corrected by Satellite Observation Using Quantile Mapping by Senfeng Liu, Srivatsan V. Raghavan, Ngoc Son Nguyen, Bhenjamin Jordan Ona, Sheau Tieh Ngai, Xin Zhang

“…This study investigates how to use the gridded satellite datasets of observational precipitation to improve the performance of the climatological simulation by using the method of non-parametric quantile mapping (QM). The precipitation in Southeast Asia is simulated in 2001–2005 using the climate model of Weather Research and Forecasting (WRF). …”
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Mapping the Active Galactic Nucleus Effects on the Stellar and Gas Properties of NGC 5806 by Sophie L. Robbins, Sandra I. Raimundo, Matthew A. Malkan

“…We use emission line ratios to map gas metallicity and identify regions of gas excitation dominated by AGN/shocks or star formation. …”
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Three-Dimensional Environment Mapping with a Rotary-Driven Lidar in Real Time by Baixin Tong, Fangdi Jiang, Bo Lu, Zhiqiang Gu, Yan Li, Shifeng Wang

“…Our method reduces the average absolute trajectory error (ATE) from 6.90 m (LOAM) to 2.48 m, and achieves lower relative pose error (RPE), indicating improved global consistency and reduced drift. …”
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Enhancing Reliability in Redundant Homogeneous Sensor Arrays with Self-X and Multidimensional Mapping by Elena Gerken, Andreas König

“…To overcome these challenges, this paper presents a novel Self-X architecture with sensor redundancy, which incorporates dynamic calibration based on multidimensional mapping. By extracting reliable sensor readings from imperfect or defective sensors, the system utilizes Self-X principles to dynamically adapt and optimize performance. …”
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Geospatial mapping of microbial contaminants and public health risks in Lahore’s municipal water by Rida Rashid, Farhad Ali Shah, Rimsha Munir, Asim Iqbal, Wajiha Javed, Rida Batool, Ameem Lutfi, Nousheen Zaidi

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Mapping stains on flat roofs using semantic segmentation based on deep learning by Lara Monalisa Alves dos Santos, Leonardo Rabero Lescano, Gabriel Toshio Hirokawa Higa, Vanda Alice Garcia Zanoni, Lenildo Santos da Silva, Cesar Ivan Alvarez, Hemerson Pistori

“…In this context, this experimental study aims to analyze deep learning-based semantic segmentation with images obtained from drones to map and monitor damp patches during automated building inspections of flat roof systems. …”
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