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Journal articles on the topic 'Dependency Mapping'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Morrison, Reed A. "Dream Mapping in Chemical Dependency Recovery." Alcoholism Treatment Quarterly 7, no. 3 (1990): 113–20. http://dx.doi.org/10.1300/j020v07n03_09.

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Duo, Jiecairang, Quecairang Hua, Keyou Huan, and Rangdangzhi Cai. "Transition based neural network dependency parsing of Tibetan." MATEC Web of Conferences 336 (2021): 06018. http://dx.doi.org/10.1051/matecconf/202133606018.

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In order to improve the performance of Tibetan natural language processing applications such as machine translation, sentiment analysis and other tasks, this article proposes a neural network-based method for syntactic analysis of Tibetan language dependence. Part of the corpus of Qinghai Normal University’s part-of-speech tag set is marked by the corresponding mapping relationship is transformed into the corpus annotated by the national standard part-of-speech tag set. At the same time, the CoNLL format Tibetan language dependency syntax tree library is constructed, and the method of shift-re

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Mironchik, E. A. "MAPPING METHOD — VISIBLE PART OF ICEBERG." Informatics in school, no. 10 (December 23, 2019): 41–50. http://dx.doi.org/10.32517/2221-1993-2019-18-10-41-50.

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The article discusses the method of solving the task 23 on the Unified State Examination in informatics (Russian EGE). One of the most popular methods for solving systems of logical equations is the mapping method, but often this method is used only for a narrow circle of systems, however, the capabilities of the method are much more wider and flexible. The basis of the mapping method been used to calculate the number of solutions of a logical equation or a system of logical equations is to build a dependency when adding equations or changing the equation itself. The revealed dependence appear

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Jacquemin, Floriane, Cyrille Violle, Pierre Rasmont, and Marc Dufrêne. "Mapping the dependency of crops on pollinators in Belgium." One Ecosystem 2 (July 26, 2017): e13738. https://doi.org/10.3897/oneeco.2.e13738.

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Because of their pollinating activity, insect pollinators provide an ecosystem service that is essential to ecosystems and our economy. A large majority of the flowering plants we consume depends on it. In turn, the decline in pollinators observed for the last decades in Belgium as in many other European countries threatens agriculture and human well-being. Here we evaluate the pollination service at a country-wide scale through the estimated value of the contribution of insect pollination to the production used for human consumption in Belgium using crop dependency ratios. We then mapped the

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Nisan Jha, Nishant. "Enhancing Service Reliability with Graph Reinforcement Learning: Real-Time Dependency Mapping and Failure Prediction." International Journal of Science and Research (IJSR) 14, no. 3 (2025): 346–53. https://doi.org/10.21275/sr25308025322.

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Sani, Sufiyanu, Aliyu Abdulkadir, Salihu A. Hmad Pantami, Mahmud Sani, Ali Muhammad Amin, and Muhammad Yakubu Abdullahi. "Spatial Variability and Mapping of Selected Soil Physical Properties under Continuous Cultivation." Turkish Journal of Agriculture - Food Science and Technology 11, no. 4 (2023): 719–29. http://dx.doi.org/10.24925/turjaf.v11i4.719-729.5733.

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Assessments of Soil physical properties and estimation of their associated variability are essential for making site-specific decisions on soil and crop management This study examined the spatial variability of soil hydro-physical properties and variance structure at Sector F1 of the Jibia Irrigation project Katsina State, Nigeria. Grid sampling technique was used to obtain one hundred and forty-four (144) soil samples from 206 ha of land using Google earth. The grids were drawn using Google earth software at intervals of 150 m x 150 m. Surface soil samples (0 - 20 cm) were collected at grid i

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Jacquemin, Floriane, Cyrille Violle, Pierre Rasmont, and Marc Dufrêne. "Mapping the dependency of crops on pollinators in Belgium." One Ecosystem 2 (July 26, 2017): e13738. http://dx.doi.org/10.3897/oneeco.2.e13738.

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8

Silva Júnior, Claudio Roberto, Julio Cezar Mairesse Siluk, Alvaro Luis Neuenfeldt-Júnior, Matheus Binotto Francescatto, and Cláudia de Freitas Michelin. "Mapping Risks Faced by Startup Investors: An Approach Based on the Apriori Algorithm." Risks 11, no. 10 (2023): 177. http://dx.doi.org/10.3390/risks11100177.

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This article maps and verifies the dependence relation between risks faced by startup investors. Thus, a systematic review of 33 articles and a meta-analysis using the Apriori algorithm were used. We mapped 14 investment risks faced by startup investors, classifying them into four dimensions: external, internal, human, and capital. Furthermore, by using the Apriori algorithm, dependency relations between nine investment risks were observed. This research fills a gap related to the non-structuring of a holistic approach to the investment risks startup investors face. In addition, a comprehensiv

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Yang, Hui, Shuming Chen, Jianghua Wan, and Huanyao Dai. "Decoupled iteration mapping: improving dependency-loop performance on SIMD processors." IEICE Electronics Express 10, no. 21 (2013): 20130798. http://dx.doi.org/10.1587/elex.10.20130798.

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Steensen, T., S. Müller, M. Jandewerth, and O. Büscher. "Mapping Biomass Availability to Decrease the Dependency on Fossil Fuels." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7 (September 19, 2014): 165–71. http://dx.doi.org/10.5194/isprsarchives-xl-7-165-2014.

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To decrease the dependency on fossil fuels, more renewable energy sources need to be explored. Over the last years, the consumption of biomass has risen steadily and it has become a major source for re-growing energy. Besides the most common sources of biomass (forests, agriculture etc.) there are smaller supplies available in mostly unused areas like hedges, vegetation along streets, railways, rivers and field margins. However, these sources are not mapped and in order to obtain their potential for usage as a renewable energy, a method to quickly assess their spatial distribution and their vo

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Leigh, Andrew James, Katie O'Hanlon, Russell Sheldrick, Claire Surr, and Dougal Julian Hare. "Care mapping in clinical neuroscience settings: Cognitive impairment and dependency." Neuropsychological Rehabilitation 25, no. 4 (2014): 574–92. http://dx.doi.org/10.1080/09602011.2014.951366.

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Birkl, Christoph, Christian Langkammer, Heinz Krenn, et al. "Iron mapping using the temperature dependency of the magnetic susceptibility." Magnetic Resonance in Medicine 73, no. 3 (2014): 1282–88. http://dx.doi.org/10.1002/mrm.25236.

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13

Azevedo Santos, Rodrigo, Aline Paes, and Gerson Zaverucha. "Transfer learning by mapping and revising boosted relational dependency networks." Machine Learning 109, no. 7 (2020): 1435–63. http://dx.doi.org/10.1007/s10994-020-05871-x.

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14

Beneš, Viktor, Karel Bodlák, Jesper Møller, and Rasmus Waagepetersen. "A CASE STUDY ON POINT PROCESS MODELLING IN DISEASE MAPPING." Image Analysis & Stereology 23, no. 3 (2011): 159. http://dx.doi.org/10.5566/ias.v24.p159-168.

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We consider a data set of locations where people in Central Bohemia have been infected by tick-borne encephalitis (TBE), and where population census data and covariates concerning vegetation and altitude are available. The aims are to estimate the risk map of the disease and to study the dependence of the risk on the covariates. Instead of using the common area level approaches we base the analysis on a Bayesian approach for a log Gaussian Cox point process with covariates. Posterior characteristics for a discretized version of the log Gaussian Cox process are computed using Markov chain Monte

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Khoirunissa, Husna Afanyn. "Pemetaan Risiko Penyakit Tuberkulosis (TBC) di Kota Surakarta dengan Spatial Empirical Bayes." Indonesian Journal of Applied Statistics 3, no. 2 (2021): 78. http://dx.doi.org/10.13057/ijas.v3i2.41282.

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<p>Tuberculosis is an infectious disease that can attack human with a poor immune system. In 2017, there were 723 residents of Surakarta tested positive for tuberculosis. The spatial empirical Bayes method is a good method for mapping the risk of tuberculosis because this method includes spatial dependency information and can overcome small area problems. This method can help the prevention of tuberculosis in Surakarta. In the analysis, it was found that the number of cases of tuberculosis in Surakarta has a spatial dependency that has an impact of the spread of tuberculosis. Sub-distric

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Spitzer, Stefan G., Anke Langbein, Melissa H. Kong, Peter Ruppersberg, Andreas Rillig, and Tamas Szili-Torok. "B-PO03-092 DEPENDENCY OF OUTCOME ON ELECTROGRAPHIC FLOW MAPPING PARAMETERS." Heart Rhythm 18, no. 8 (2021): S225—S226. http://dx.doi.org/10.1016/j.hrthm.2021.06.566.

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Mardiana, Redy, and Zen-Ichiro Kawasaki. "Dependency of VHF broad band lightning source mapping on Fourier spectra." Geophysical Research Letters 27, no. 18 (2000): 2917–20. http://dx.doi.org/10.1029/1999gl010997.

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18

Li, Qingliang, Cheng Zhang, Wei Shangguan, Lu Li, and Yongjiu Dai. "A novel local-global dependency deep learning model for soil mapping." Geoderma 438 (October 2023): 116649. http://dx.doi.org/10.1016/j.geoderma.2023.116649.

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19

LENDERS, PATRICK M. "MULTI-RATE ARRAYS AND AFFINE RECURRENCE EQUATIONS." Parallel Processing Letters 02, no. 04 (1992): 373–80. http://dx.doi.org/10.1142/s0129626492000520.

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In this paper, we propose a general method for mapping Affine Recurrence Equations (ARE's) on a Multi-Rate Array (MRA). We show that the mapping is valid if and only if it maps the problem domain on the null space of the matrix (D − I) along the range space of this matrix (D is the dependency matrix, I is the identity matrix). We also prove that in the resulting array, variables are flowing at different speeds.

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Nayak, Banoj Kumar, Cijy Mathai, Dmitry Panna, and Eyal Buks. "Tunable degree of polarization in a figure-8 fiber laser." AIP Advances 12, no. 9 (2022): 095120. http://dx.doi.org/10.1063/5.0102747.

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We experimentally study a fiber loop laser in a figure-8 configuration and explore the dependency of the degree of polarization on controlled parameters. To account for the experimental observations, a mapping is derived to evaluate the polarization time evolution. The nonlinearity induced by the Kerr effect and gain saturation gives rise to rich dynamics. We find that the degree of polarization can be increased by tuning the system into a region where the mapping has a locally stable fixed point.

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Molavi, Abtin, Amanda Xu, Swamit Tannu, and Aws Albarghouthi. "Dependency-Aware Compilation for Surface Code Quantum Architectures." Proceedings of the ACM on Programming Languages 9, OOPSLA1 (2025): 57–84. https://doi.org/10.1145/3720416.

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Practical applications of quantum computing depend on fault-tolerant devices with error correction. We study the problem of compiling quantum circuits for quantum computers implementing surface codes. Optimal or near-optimal compilation is critical for both efficiency and correctness. The compilation problem requires (1) mapping circuit qubits to the device qubits and (2) routing execution paths between interacting qubits. We solve this problem efficiently and near-optimally with a novel algorithm that exploits the dependency structure of circuit operations to formulate discrete optimization p

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V, Sangeetha, and Syed Muzamil Basha. "DESIGN AND DEVELOPMENT OF FEATURE ENGINEERING MODEL FOR CVD MULTI-DIMENSIONAL DATASETS STANDARDIZATION." Malaysian Journal of Computer Science sp2023, no. 1 (2023): 99–106. http://dx.doi.org/10.22452/mjcs.sp2023no1.9.

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Cardio Vascular Diseases (CVD) are most common medical abnormalities in modern times. According to World Health Organization (WHO), the CVD related deaths spot is higher and increased due to chronical reasons such as unhealthy lifestyle, food habits, geographical changes and comorbidities from genetic history. The studies are focused on one particular causes as it trends to eliminate the comorbidities influencing the secondary causes. Hence a large unbalanced prediction and independent datasets are created and customized. In this research, the authors have aimed to propose dataset standardizat

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23

Chen, Xiao, Yinglu Li, and Chao Lu. "Abstract A015: Cancer co-dependency mapping identifies a functional interplay between PRC2 and MLL-MEN1 complex in lymphoma." Cancer Research 82, no. 23_Supplement_2 (2022): A015. http://dx.doi.org/10.1158/1538-7445.cancepi22-a015.

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Abstract Interplays between chromatin-associated complexes and modifications critically contribute to the partitioning of epigenome into stable and functionally distinct domains. Yet there is a lack of systematic identification of chromatin crosstalk mechanisms, limiting our understanding of the dynamic transition between chromatin states during development and disease. Here we perform co-dependency mapping of genes encoding nuclear proteins using CRISPR-Cas9-mediated fitness screens in pan-cancer cell lines to quantify gene-gene functional relationships. We identify 84 co-dependency modules a

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ATALAN, Yunus, and Esra ERBAŞ. "Analyzing Stability and Data Dependence Notions by a Novel Jungck-Type Iteration Method." Journal of New Theory, no. 45 (December 31, 2023): 1–17. http://dx.doi.org/10.53570/jnt.1326344.

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Finding the ideal circumstances for a mapping to have a fixed point is the fundamental goal of fixed point theory. These criteria can also be used for the structure under investigation. One of this theory’s most well-known theorems, Banach’s fixed point theorem, has been expanded adopting various methods, making it possible to conduct numerous research studies. Thanks to the Jungck-Contraction Theorem, which has been proven through commutative mappings, many fixed point theorems have been obtained using classical fixed point iteration methods and newly defined methods. This study aims to inves

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Vayyavur, Raj. "Modeling Business Capabilities and Processes: Techniques and Practical Applications." International Journal of Research 11, no. 9 (2024): 156–60. https://doi.org/10.5281/zenodo.13767709.

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<strong>Capability and process modeling are critical techniques in enterprise architecture (EA) that help align business strategies with IT infrastructure. These methods offer structured approaches for organizations to visualize, assess, and optimize their competencies, processes, and dependencies. This paper explores several key modeling techniques, including business capability modeling, process mapping, and dependency mapping, using real-world use cases from industries such as telecommunications, healthcare, banking, and broadcasting. These case studies illustrate how organizations can impr

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Dovey, Kim, Ian Woodcock, and Lucinda Pike. "Isochrone Mapping of Urban Transport: Car-dependency, Mode-choice and Design Research." Planning Practice & Research 32, no. 4 (2017): 402–16. http://dx.doi.org/10.1080/02697459.2017.1329487.

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27

Balandina, Anita, Anastasiya Kostkina, Artem Chernyshov, and Valentin V. Klimov. "Dependency Parsing of Natural Russian Language with Usage of Semantic Mapping Approach." Procedia Computer Science 145 (2018): 77–83. http://dx.doi.org/10.1016/j.procs.2018.11.013.

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28

Garg, Shally. "GRAPH NEURAL NETWORKS FOR DEPENDENCY MAPPING AND IMPACT ESTIMATION IN CI/CD WORKFLOWS." International Journal of Core Engineering & Management 6, no. 11 (2021): 439–49. https://doi.org/10.5281/zenodo.15552165.

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29

Gorai, Tapan, Nayan Ahmed, and Rabi Narayan Sahoo. "Farm-Scale Mapping of Soil Microbiological Indicators Using Geostatistical Technique." International Journal of Environment and Climate Change 13, no. 11 (2023): 1439–51. http://dx.doi.org/10.9734/ijecc/2023/v13i113296.

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Soil microbiological properties viz. soil microbial biomass carbon (MBC) and dehydrogenase activity (DHA) are sensitive soil quality indicators. Spatial modeling and prediction map of soil MBC and DHA were generated for a semiarid agricultural farm, New Delhi, India from 288 geo-referenced grid samples spaced 100 m × 100 m distance using geospatial techniques and geo-statistics. Soil microbial biomass carbon (MBC) ranged from 19.7 to 519.7 µg g-1 with standard deviation of 84.1 and soil DHA varied from 1.2 to 17.2 µg TPF g-1 dry soil hr-1 with sample variance of 10.89. Soil MBC and DHA had hig

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Venkata, Raman Immidisetti. "Dr. Migrate: An AI-Driven Framework for Optimized VMware-to-Azure Cloud Migration." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 12, no. 6 (2024): 1–8. https://doi.org/10.5281/zenodo.15054589.

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Cloud migration presents several challenges, including complex dependency mapping, cost optimization, and risk mitigation. Dr. Migrate is an AI-driven migration tool that automates these processes to streamline transitions from on-premises environments to Microsoft Azure. This paper explores Dr. Migrate’s architecture, methodology, and role in structured cloud migration planning and execution. The tool facilitates application dependency mapping, applies the Six R migration strategy for workload classification, and organizes wave-based phased migration planning. Additionally, it conducts

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Wang, Kuo-Hua, Cheng Chen, and Ting Ting Hwang. "Technology Mapping for FPGA Using Generalized Functional Decomposition." VLSI Design 2, no. 2 (1994): 89–103. http://dx.doi.org/10.1155/1994/56371.

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In this paper, we address the technology mapping for RAM-based FPGA. Functional decomposition is applied to decompose a large function into a set of smaller subfunctions such that each subfunction can be implemented using a single logic cell. Our system is mainly divided into two parts. The first part is designed specifically for totally symmetric functions. A Fast-Decompose algorithm based on weight dependency is proposed. The second part deals with general functions. We consider some techniques such as output partition, variable partition, don't care assignment and encoding to minimize the n

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von Hoensbroech, A., and K. M. Xilouris. "Multi-Frequency Pulsar Polarimetry at High Frequencies." International Astronomical Union Colloquium 160 (1996): 267–68. http://dx.doi.org/10.1017/s0252921100041683.

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AbstractA sample of 62 pulsar profiles has been studied with full polarization information at high radio frequencies, aiming at studying the dependency of emission altitude at the deepest layers of pulsar magnetospheres. The emission is consistent with heights ranging between 1-2% of the light-cylinder-radius, while a slight radius-to-frequency mapping is evident.

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MANURUNG, Riski Nurul Hasanah, Havidz Ageng PRAKOSO, and Ali ROZIQIN. "Mapping the Country’s Dependence on Indonesia’s Coal Import Market." Theoretical and Practical Research in Economic Fields 15, no. 1 (2024): 62. http://dx.doi.org/10.14505/tpref.v15.1(29).07.

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Indonesia is one of the world's largest producers and exporters of coal. Its strategic geographical location facilitates coal export activities to consumer countries. In addition, the quality of Indonesian coal is also very suitable for steam power plants, especially sold at competitive prices on the international market. This research highlights how the world's largest coal-importing countries depend on the Indonesian coal import market. This means that Indonesian coal significantly influences the world's energy contribution. Based on this fact, the author states that the coal that Indonesia

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Judijanto, Loso, Isma Coryanata, and Salwa Aulia Novitasari. "Credit Dependency and Debt Management: A Bibliometric Review." West Science Interdisciplinary Studies 3, no. 06 (2025): 962–71. https://doi.org/10.58812/wsis.v3i06.2012.

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This study presents a comprehensive bibliometric analysis of scholarly literature on credit dependency and debt management, aiming to map the intellectual, thematic, and collaborative structures that define the field. Using data extracted from the Scopus database and analyzed through VOSviewer, the study identifies major research clusters including financial management, debt provision, and risk management. The findings highlight a clear evolution in research focus—shifting from individual financial behaviors and literacy toward institutional credit risk management and systemic financial govern

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Bharadwaj, S., R. Dubey, M. I. Zafar, and S. Biswas. "RASTER DATA BASED AUTOMATED NOISE DATA INTEGRATION FOR NOISE MAPPING LIMITING DATA DEPENDENCY." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2021 (June 30, 2021): 159–66. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2021-159-2021.

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Abstract. Noise has become a recurrent problem worldwide. Road traffic noise studies in India are fewer and restricted only to the metropolitan areas. These studies focused on recording, monitoring, analysis, modelling, and mapping. The major concern is with the onsite collection of vehicular noise data from road sites. Road traffic noise maps have been generated by using traditional techniques that involve the collection of road traffic noise by experts. There are negligible studies in the area of automated noise generation for road traffic noise. In this paper, the study examines the problem

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Collier, Craig R., Michael Czuchry, Donald F. Dansereau, and Urvashi Pitre. "The Use of Node-Link Mapping in the Chemical Dependency Treatment of Adolescents." Journal of Drug Education 31, no. 3 (2001): 305–17. http://dx.doi.org/10.2190/gmc2-k3xx-xlhf-k2j0.

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Lancione, Marta, Graziella Donatelli, Paolo Cecchi, Mirco Cosottini, Michela Tosetti, and Mauro Costagli. "Echo-time dependency of quantitative susceptibility mapping reproducibility at different magnetic field strengths." NeuroImage 197 (August 2019): 557–64. http://dx.doi.org/10.1016/j.neuroimage.2019.05.004.

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Singh, Rashmi, Subham Sharma, Supriyo Mitra, and Prosanta Kumar Khan. "Mapping of Coda-Wave Attenuation and Its Frequency Dependency Over Eastern Indian Shield." Pure and Applied Geophysics 176, no. 12 (2019): 5291–313. http://dx.doi.org/10.1007/s00024-019-02284-3.

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Mar'ah, Zakiyah, Hardianti Hafid, and Sitti Masyitah Meliyana R. "Epidemiological Mapping Of Tuberculosis In South Sulawesi Using Local Indicators Of Spatial Association (LISA) And K-Means Clustering." Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam 14, no. 1 (2025): 1. https://doi.org/10.35580/sainsmat141665022025.

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Spatial statistics is a statistical approach that links data to the location of events. The most basic way to test whether data can be analyzed using spatial statistics is to find the spatial dependence. Local spatial dependence is tested using Local Indicators of Spatial Association (LISA). This research aims to use a form of LISA, Local Moran, to cluster and map epidemiological data, the number of tuberculosis (TB) cases in South Sulawesi. The novelty of this research is that the mapping of TB infectious disease in South Sulawesi was carried out using Local Moran, as well as clustering area

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Smet, O., S. Van de Vyver, Patrick De Baets, Verstraete Matthias, and Stijn Herregodts. "Hydrostatic pressure device for evaluation of contact pressure sensor characteristics." International Journal Sustainable Construction & Design 7, no. 1 (2016): 7. http://dx.doi.org/10.21825/scad.v7i1.3636.

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In order to gain more insight in the characteristics of Tekscan contact pressure mapping sensors, a hydrostatic pressure cell is designed. The main research topics are load history dependency, inter-pixel output variation and output drift behaviour of the sensors. This leads to a state of the art preconditioning and post processing method which yields a higher accuracy of the measurement data.

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Alinia, Parastoo, Asiful Arefeen, Zhila Esna Ashari, Seyed Iman Mirzadeh, and Hassan Ghasemzadeh. "Model-Agnostic Structural Transfer Learning for Cross-Domain Autonomous Activity Recognition." Sensors 23, no. 14 (2023): 6337. http://dx.doi.org/10.3390/s23146337.

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Activity recognition using data collected with smart devices such as mobile and wearable sensors has become a critical component of many emerging applications ranging from behavioral medicine to gaming. However, an unprecedented increase in the diversity of smart devices in the internet-of-things era has limited the adoption of activity recognition models for use across different devices. This lack of cross-domain adaptation is particularly notable across sensors of different modalities where the mapping of the sensor data in the traditional feature level is highly challenging. To address this

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Somodi, Gábor, and Balázs Vásárhelyi. "Scale and Rock Type Dependency of Mórágy Granite Formation in the Aspect of Fracture Density." Geotechnics 5, no. 2 (2025): 34. https://doi.org/10.3390/geotechnics5020034.

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The geometry of rock mass fractures is typically characterized through geological and geotechnical investigations. Detailed descriptions of granitic host rock can yield valuable data for constructing fracture network models. However, significant discrepancies often arise between data representing the mechanical and hydraulic properties of rocks. At the study site, fracture geometry data were gathered through surface and underground surveying, borehole logging, and underground mapping. Three-dimensional photogrammetry was utilized alongside traditional rock mass classification methods (Q-system

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Swapnil Shinde, Vishnu Suryawanshi, Varsha Jadhav, Nakul Sharma, Mandar Diwakar,. "Graph-Based Keyphrase Extraction for Software Traceability in Source Code and Documentation Mapping." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 832–36. http://dx.doi.org/10.17762/ijritcc.v11i9.8973.

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Natural Language Processing (NLP) forms the basis of several computational tasks. However, when applied to the software system’s, NLP provides several irrelevant features and the noise gets mixed up while extracting features. As the scale of software system’s increases, different metrics are needed to assess these systems. Diagrammatic and visual representation of the SE projects code forms an essential component of Source Code Analysis (SCA). These SE projects cannot be analyzed by traditional source code analysis methods nor can they be analyzed by traditional diagrammatic representation. He

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Zeng, Guanghong, Kai Dirscherl, and Jørgen Garnæs. "Toward Accurate Quantitative Elasticity Mapping of Rigid Nanomaterials by Atomic Force Microscopy: Effect of Acquisition Frequency, Loading Force, and Tip Geometry." Nanomaterials 8, no. 8 (2018): 616. http://dx.doi.org/10.3390/nano8080616.

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Atomic force microscopy (AFM) has emerged as a popular tool for the mechanical mapping of soft nanomaterials due to its high spatial and force resolution. Its applications in rigid nanomaterials, however, have been underexplored. In this work, we studied elasticity mapping of common rigid materials by AFM, with a focus on factors that affect the accuracy of elasticity measurements. We demonstrated the advantages in speed and noise level by using high frequency mechanical mapping compared to the classical force volume mapping. We studied loading force dependency, and observed a consistent patte

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Firdaus, Ramaditya. "Geographic Information System (GIS) Based Android Application for Mapping Geothermal Potential Areas." Journal of Software Engineering, Information and Communication Technology (SEICT) 3, no. 2 (2023): 149–60. http://dx.doi.org/10.17509/seict.v3i2.46899.

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Indonesia's dependency on fossil energy to meet domestic energy needs remains relatively high. This dependency is vulnerable to supply shortages as fossil fuels are non-renewable and can be depleted. As a result, fossil energy is depleting, leading to electricity energy crises like the current one. Indonesia's coal reserves are predicted to be depleted within the next 20 years. Optimizing the potential of renewable alternative energy, such as geothermal energy, can fulfill the increasing electricity demand. Indonesia possesses the world's largest geothermal reserves, approximately 40%. Geother

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Kettnerová, Václava, and Markéta Lopatková. "Reciprocity in Czech Light Verb Constructions: The Dependency Perspective." Journal of Linguistics/Jazykovedný casopis 71, no. 1 (2020): 41–68. http://dx.doi.org/10.2478/jazcas-2020-0011.

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Abstract In this paper, we draw attention to reciprocity in Czech light verb constructions – a language phenomenon, which has not been discussed yet. Reciprocity is contributed to light verb constructions by predictive nouns, as they are the nouns that represent the semantic core of these constructions. Here we focus on reciprocal light verb constructions derived by the syntactic operation of reciprocalization. We show that the complex mapping of semantic participants onto valency complementations, characteristic of reciprocalization, is reflected in reciprocal light verb constructions in the

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Otoo, Nicole Gyakowah, Edwin H. Sutanudjaja, Michelle T. H. van Vliet, Aafke M. Schipper, and Marc F. P. Bierkens. "Mapping groundwater-dependent ecosystems using a high-resolution global groundwater model." Hydrology and Earth System Sciences 29, no. 8 (2025): 2153–65. https://doi.org/10.5194/hess-29-2153-2025.

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Abstract. Global population growth, economic growth, and climate change have led to a decline in groundwater resources, which are essential for sustaining groundwater-dependent ecosystems (GDEs). To understand their spatial and temporal dependency on groundwater, we developed a framework for mapping GDEs at a large scale, using results from a high-resolution global groundwater model. To evaluate the proposed framework, we focus on the Australian continent because of the abundance of groundwater depth observations and the presence of a GDE atlas. We first classify GDEs into three categories: aq

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Jong, KumSong, HuiChol Choi, KyongJun Jang, SongGuk Jong, KyongSon Jon, and Ok Ri. "Some Properties of Solutions to Multiterm Fractional Boundary Value Problems with p -Laplacian Operator." Journal of Function Spaces 2021 (April 11, 2021): 1–16. http://dx.doi.org/10.1155/2021/7527306.

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In this paper, we study some properties of positive solutions to a class of multipoint boundary value problems for nonlinear multiterm fractional differential equations with p -Laplacian operator. Using the Banach contraction mapping principle, the existence, the uniqueness, the positivity, and the continuous dependency on m -point boundary conditions of the solutions to the given problem are investigated. Also, two examples are presented to demonstrate our main results.

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Chokshi, Chirayu R., David Tieu, Kevin R. Brown, et al. "STEM-05. FUNCTIONAL MAPPING REVEALS WIDESPREAD REMODELLING AND UNRECOGNIZED PATHWAY DEPENDENCIES IN RECURRENT GLIOBLASTOMA." Neuro-Oncology 23, Supplement_6 (2021): vi22. http://dx.doi.org/10.1093/neuonc/noab196.081.

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Abstract Resistance to genotoxic therapies and tumor recurrence are hallmarks of glioblastoma (GBM), an aggressive brain tumor. Here, we explore the functional drivers of post-treatment recurrent GBM. By conducting genome-wide CRISPR-Cas9 screens in patient-derived GBM models, we uncover distinct genetic dependencies in recurrent tumor cells that were absent in their patient-matched primary predecessors, accompanied by increased mutational burden and differential transcript and protein expression. These analyses support parallel tumor-intrinsic mechanisms of treatment resistance which rely on

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Wang, Yejiang, Yuhai Zhao, Zhengkui Wang, Wen Shan, and Xingwei Wang. "Limited-Supervised Multi-Label Learning with Dependency Noise." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 14 (2024): 15662–70. http://dx.doi.org/10.1609/aaai.v38i14.29494.

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Limited-supervised multi-label learning (LML) leverages weak or noisy supervision for multi-label classification model training over data with label noise, which contain missing labels and/or redundant labels. Existing studies usually solve LML problems by assuming that label noise is independent of the input features and class labels, while ignoring the fact that noisy labels may depend on the input features (instance-dependent) and the classes (label-dependent) in many real-world applications. In this paper, we propose limited-supervised Multi-label Learning with Dependency Noise (MLDN) to s

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