Relevant bibliographies by topics / DPSEEA model

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'DPSEEA model'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "DPSEEA model"

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Choi, Wook-Hee, Chulwoo Lee, Sang-Hwan Song, Seung-Jun Wang, Jong-Tae Lee, and Seung-Do Yu. "The Application of Indicator-based Dpseea Model in Air Pollution." Epidemiology 22 (January 2011): S112. http://dx.doi.org/10.1097/01.ede.0000392013.26636.ba.

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Kričković, Emina. "Cause-effect relationship between air quality and public health in the city of Novi Sad based on the DPSEEA model." Vojnotehnicki glasnik 69, no. 1 (2021): 88–113. http://dx.doi.org/10.5937/vojtehg69-29301.

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Introduction/purpose: The research subject in this article is the status of the air quality in the city of Novi Sad and its impact on the health of the population. The relation between these two points will be presented using the DPSEEA model. The research aim of this article is to apply proper measures in order to mitigate negative effects on human health, based on scientific knowledge related to air quality influence on the health of the Novi Sad population. The basic hypothesis of this research implies that air quality affects Novi Sad's population health. Methods: The following methods wer
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Dong, Yuanyuan. "Constructing a biosafety evaluation system based on DPSEEA model: A case study of Shenzhen." Biodiversity Science 29, no. 11 (2021): 1530–38. http://dx.doi.org/10.17520/biods.2021234.

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DE LA OSSA, Jorge Cárdenas, Angélica Bustamante RUÍZ, Humberto Tavera QUIROZ, Paola Petro SANCHEZ, Samuel Pinto ARGEL, and Mauricio ROSSO-PINTO. "RISK MANAGEMENT AS AN ENVIRONMENTAL DETERMINANT: CASE STUDY IN THE VILLAGE OF EL PLAYÓN BAJO SINÚ (CÓRDOBA, COLOMBIA)." International Journal of Conservation Science 15, no. 4 (2024): 1801–16. https://doi.org/10.36868/ijcs.2024.04.13.

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Floods are among the most frequent natural hazards and their management is a fundamental task when planning solutions to reduce their impact on communities. Hence, risk management is considered an environmental determinant, primarily in areas where proximity to bodies of water can generate some type of disaster for the surrounding population. The objective of the research was focused on structuring guidelines for the incorporation of risk management as an environmental determinant in the El Playón village in the department of Córdoba-Colombia. For its development, it was necessary to collect b
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Mencou, Siham, Majid Ben Yakhelf, and Elbachir Tazi. "Direct torque control of induction motor based on double-power-super-twisting sliding mode speed control for electric vehicle applications." International Journal of Power Electronics and Drive Systems (IJPEDS) 15, no. 3 (2024): pp1399–1409. https://doi.org/10.11591/ijpeds.v15.i3.pp1399-1409.

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To improve the performance and energy efficiency of the direct torque control of induction motors used in electric vehicles a double-power-super-twisting sliding mode control (DPSTA SMC) strategy has been introduced in the closed speed loop. This strategy is based on the novel double-power-super-twisting algorithm (DPSTA), which combines the performance of the traditional super-twisting algorithm (STA) with the double power reaching law (DPRL). The stability of the algorithm has been proven using a quasi-quadratic Lyapunov function. The performances of the proposed DPSTA SMC controller have be
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Chien, Wei-Chen, Yu-Chian Chang, Yao-Tung Tsou, Sy-Yen Kuo, and Ching-Ray Chang. "STT-DPSA: Digital PUF-Based Secure Authentication Using STT-MRAM for the Internet of Things." Micromachines 11, no. 5 (2020): 502. http://dx.doi.org/10.3390/mi11050502.

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Physical unclonable function (PUF), a hardware-efficient approach, has drawn a lot of attention in the security research community for exploiting the inevitable manufacturing variability of integrated circuits (IC) as the unique fingerprint of each IC. However, analog PUF is not robust and resistant to environmental conditions. In this paper, we propose a digital PUF-based secure authentication model using the emergent spin-transfer torque magnetic random-access memory (STT-MRAM) PUF (called STT-DPSA for short). STT-DPSA is an original secure identity authentication architecture for Internet o
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Oluwafemi, Ifeoluwa Oreofe, Tosin Clement, Oluwasanmi Segun Adanigbo, Toluwase Peter Gbenle, and Bolaji Iyanu Adekunle. "A Review of Data-Driven Prescriptive Analytics (DPSA) Models for Operational Efficiency across Industry Sectors." International Journal of Multidisciplinary Research and Growth Evaluation 2, no. 2 (2021): 420–27. https://doi.org/10.54660/.ijmrge.2021.2.2.420-427.

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This paper presents a comprehensive review of Data-Driven Prescriptive Analytics (DPSA) models and their role in enhancing operational efficiency across diverse industry sectors. By synthesizing existing frameworks, algorithms, and real-world implementations, the study identifies how DPSA leverages historical and real-time data to recommend actionable strategies, optimize decision-making, and allocate resources more effectively. Drawing from both conceptual and empirical literature published up to 2021—including advanced AI-driven analytics, cloud-based business intelligence systems, and predi
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Kelble, Christopher R., Dave K. Loomis, Susan Lovelace, et al. "The EBM-DPSER Conceptual Model: Integrating Ecosystem Services into the DPSIR Framework." PLoS ONE 8, no. 8 (2013): e70766. http://dx.doi.org/10.1371/journal.pone.0070766.

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Tang, Siyuan, Rong Ma, Qingqian Li, Yingchun Bai, and Shijun Chen. "Classification of Benign and Malignant Pulmonary Nodules Based on the Multiresolution 3D DPSECN Model and Semisupervised Clustering." IEEE Access 9 (2021): 43397–410. http://dx.doi.org/10.1109/access.2021.3060178.

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Zhao, Like, Linfeng Ye, Mi Zhang, Huawei Jiang, Zhen Yang, and Mingwang Yang. "DPSDA-Net: Dual-Path Convolutional Neural Network with Strip Dilated Attention Module for Road Extraction from High-Resolution Remote Sensing Images." Remote Sensing 15, no. 15 (2023): 3741. http://dx.doi.org/10.3390/rs15153741.

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Roads extracted from high-resolution remote sensing images are widely used in many fields, such as autonomous driving, road planning, disaster relief, etc. However, road extraction from high-resolution remote sensing images has certain deficiencies in connectivity and completeness due to obstruction by surrounding ground objects, the influence of similar targets, and the slender structure of roads themselves. To address this issue, we propose a novel dual-path convolutional neural network with a strip dilated attention module, named DPSDA-Net, which adopts a U-shaped encoder–decoder structure,
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Dissertations / Theses on the topic "DPSEEA model"

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Кубатко, Олександр Васильович, Александр Васильевич Кубатко, Oleksandr Vasylovych Kubatko, Олександрa Вікторівна Кубатко, Александра Викторовна Кубатко, and Oleksandra Viktorivna Kubatko. "The DPSEEA models for sustainable development estimation." Thesis, Сумський державний університет, 2013. http://essuir.sumdu.edu.ua/handle/123456789/31618.

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All main indicators of SD are associated with an objective to show the desirable direction in to move. Some of the objectives related to specific targets. Progress towards one objective may negatively influence on progress towards other. The balance between these should be received dynamically, and it may not be possible to set a specific target for each indicator. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/31618
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Book chapters on the topic "DPSEEA model"

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Schallmo, Daniel R. A., and Christopher A. Williams. "An Integrated Approach to Digital Implementation: TOSC-Model and DPSEC-Circle." In Management for Professionals. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69380-0_21.

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Conference papers on the topic "DPSEEA model"

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Mahmud, Saaduddin, Md Mosaddek Khan, Moumita Choudhury, Long Tran-Thanh, and Nicholas R. Jennings. "Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/38.

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Distributed Constraint Optimization Problems (DCOPs) are an important framework for modeling coordinated decision-making problems in multi-agent systems with a set of discrete variables. Later works have extended DCOPs to model problems with a set of continuous variables, named Functional DCOPs (F-DCOPs). In this paper, we combine both of these frameworks into the Mixed Integer Functional DCOP (MIF-DCOP) framework that can deal with problems regardless of their variables' type. We then propose a novel algorithm - Distributed Parallel Simulated Annealing (DPSA), where agents cooperatively learn
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Taapopi, E. E., H. Wang, and J. Zhou. "Equal Forced Time Step Approach to PSA for a Dynamic System – A Case of the Holdup Tank." In 2021 28th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/icone28-64081.

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Abstract This work presents a methodology of the equal forced time step for generating accident scenarios in a time-dependent dynamic sequence. The aim is to model DPSA and system reliability of a simple hold-up tank which is a good representative of a steam generator — a component in the secondary loop of a nuclear power plant. This was achieved based on some predicted theoretical calculations on node generating conditions and the cumulative probability of partial failure mode. The computer language Python 3.0 was employed to establish a dynamic event tree of 20 equal time steps (h), the tota
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Al Jarwan, Dr Abdulla, and Fathesha Sheikh. "Vertical Integration Strategy Implementation Through Hybrid Upstream and Downstream Concession Agreements." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/207585-ms.

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Abstract Upstream developments in prolific oil and gas fields are highly profitable and hence attract various investors/partners, whereas Downstream developments profitability is margin based and challenging under certain situations to receive similar interest for investment in the same location. Vertical Integration Strategy implementation through hybrid upstream and downstream concession agreements can help address this issue. The seventies witnessed major changes in the oil industry's structures and strategies resulting from the nationalization of oil and gas reserves. This ultimately led t
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Journal articles
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