Готові списки джерел за темами / GWO TECHNIQUE

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Добірка наукової літератури з теми "GWO TECHNIQUE"

Автор: Grafiati

Опубліковано: 11 вересня 2023

Оновлено: 25 липня 2025

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Статті в журналах з теми "GWO TECHNIQUE"

Liu, Guangwei, Zhiqing Guo, Wei Liu, Feng Jiang, and Ensan Fu. "A feature selection method based on the Golden Jackal-Grey Wolf Hybrid Optimization Algorithm." PLOS ONE 19, no. 1 (2024): e0295579. http://dx.doi.org/10.1371/journal.pone.0295579.

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This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). The primary objective of this method is to create an effective data dimensionality reduction technique for eliminating redundant, irrelevant, and noisy features within high-dimensional datasets. Drawing inspiration from the Chinese idiom “Chai Lang Hu Bao,” hybrid algorithm mechanisms, and cooperative behaviors observed in natural animal populations, we amalgamate the GWO algorithm, the Lagrange interpolation method, and the G

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Mousa, M. E., M. A. Ebrahim, Magdy M. Zaky, E. M. Saied, and S. A. Kotb. "Hybrid Optimization Technique for Enhancing the Stability of Inverted Pendulum System." International Journal of Swarm Intelligence Research 12, no. 1 (2021): 77–97. http://dx.doi.org/10.4018/ijsir.2021010105.

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The inverted pendulum system (IPS) is considered the milestone of many robotic-based industries. In this paper, a new variant of variable structure adaptive fuzzy (VSAF) is used with new reduced linear quadratic regulator (RLQR) and feedforward gain for enhancing the stability of IPS. The optimal determining of VSAF parameters as well as Q and R matrices of RLQR are obtained by using a modified grey wolf optimizer with adaptive constants property via particle swarm optimization technique (GWO/PSO-AC). A comparison between the hybrid GWO/PSO-AC and classical GWO/PSO based on multi-objective fun

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Gupta, Priyank, Sanjay Kumar Gupta, and Rakesh Singh Jadon. "Adaptive Grey Wolf Optimization Technique for Stock Index Price Prediction on Recurring Neural Network Variants." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 11s (2023): 309–18. http://dx.doi.org/10.17762/ijritcc.v11i11s.8103.

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In this paper, we propose a Long short-term memory (LSTM) and Adaptive Grey Wolf Optimization (GWO)--based hybrid model for predicting the stock prices of the Major Indian stock indices, i.e., Sensex. The LSTM is an advanced neural network that handles uncertain, nonlinear, and sequential data. The challenges are its weight and bias optimization. The classical backpropagation has issues of dangling on local minima or overfitting the dataset. Thus, we propose a GWO-based hybrid approach to evolve the weights and biases of the LSTM and the dense layers. We have made the GWO more robust by introd

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Nsour, Heba Al, Mohammed Alweshah, Abdelaziz I. Hammouri, Hussein Al Ofeishat, and Seyedali Mirjalili. "A Hybrid Grey Wolf Optimiser Algorithm for Solving Time Series Classification Problems." Journal of Intelligent Systems 29, no. 1 (2018): 846–57. http://dx.doi.org/10.1515/jisys-2018-0129.

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Abstract One of the major objectives of any classification technique is to categorise the incoming input values based on their various attributes. Many techniques have been described in the literature, one of them being the probabilistic neural network (PNN). There were many comparisons made between the various published techniques depending on their precision. In this study, the researchers investigated the search capability of the grey wolf optimiser (GWO) algorithm for determining the optimised values of the PNN weights. To the best of our knowledge, we report for the first time on a GWO al

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Nahak, Narayan, and Ranjan Kumar Mallick. "Efficacy of GWO Optimized PI and Lead-lag Controller for Design of UPFC based Supplementary Damping Controller." IAES International Journal of Robotics and Automation (IJRA) 6, no. 4 (2017): 241. http://dx.doi.org/10.11591/ijra.v6i4.pp241-251.

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On line tuning of FACTS based damping controller is a vital decisive task in power system. In this regard two things need to be addressed, one is selection of a proper controller and another one is selection of a powerful optimization technique. In this work Grey Wolf Optimizer (GWO) technique is proposed to tune parameters of PI and lead lag controller based on UPFC to damp intra plant and inter area electromechanical oscillations with single and multi machine power system. A broad comparison has been performed with eigen value analysis between optimized PI and lead lag d

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Ajeng, Maharani Putri, Rustam Zuherman, Pandelaki Jacub, Wirasati Ilsya, and Hartini Sri. "Acute sinusitis data classification using grey wolf optimization-based support vector machin." International Journal of Artificial Intelligence (IJ-AI) 10, no. 2 (2021): 438–45. https://doi.org/10.11591/ijai.v10.i2.pp438-445.

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Acute sinusitis is the most common form of sinusitis, and it causes swelling and inflammation within the nose. The main thing that can causes sinusitis is probably due to viruses, and also can be caused by other factors, namely bacteria, fungi, irritation, dust, and allergens. In this research, the CT scan data attributes will be used for classification and grey wolf optimization-support vector machine (GWO-SVM) will be the machine learning technique used, where the GWO technique will be used to tuned the parameters in SVM. The performance of methods was analyzed using the python programming l

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Badi, Manjulata, Sheila Mahapatra, Bishwajit Dey, and Saurav Raj. "A Hybrid GWO-PSO Technique for the Solution of Reactive Power Planning Problem." International Journal of Swarm Intelligence Research 13, no. 1 (2022): 1–30. http://dx.doi.org/10.4018/ijsir.2022010104.

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Over the years the optimization in various areas of power system has immensely attracted the attention of power engineers and researchers. RPP problem is one of such areas. This is done by the placement of reactive power sources in the weak buses and thereafter minimizing the operating cost of the system which is directly dependent on the system transmission loss. The work proposed in this article utilizes FVSI method to detect the weak bus. GWO-PSO is proposed in the current work for providing optimal solution to RPP problem. To test the efficacy of the proposed technique, comparative analysi

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Mat Yasin, Zuhaila, Nur Ashida Salim, Nur Fadilah Ab Aziz, Hasmaini Mohamad, and Norfishah Ab Wahab. "Prediction of solar irradiance using grey wolf Optimizer-Least-Square support vector machine." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 1 (2020): 10. http://dx.doi.org/10.11591/ijeecs.v17.i1.pp10-17.

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Prediction of solar irradiance is important for minimizing energy costs and providing high power quality in a photovoltaic (PV) system. This paper proposes a new technique for prediction of hourly-ahead solar irradiance namely Grey Wolf Optimizer- Least-Square Support Vector Machine (GWO-LSSVM). Least Squares Support Vector Machine (LSSVM) has strong ability to learn a complex nonlinear problems. In GWO-LSSVM, the parameters of LSSVM are optimized using Grey Wolf Optimizer (GWO). GWO algorithm is derived based on the hierarchy of leadership and the grey wolf hunting mechanism in na

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Sulttan, Mohammed Qasim, Salam Waley Shneen, and Jafaar Mohammed Daif Alkhasraji. "Performance enhancement of large-scale linear dynamic MIMO systems using GWO-PID controller." Bulletin of Electrical Engineering and Informatics 12, no. 5 (2023): 2852–59. http://dx.doi.org/10.11591/eei.v12i5.4870.

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The multi-input multi-output (MIMO) technique is becoming grown and integrated into wireless wideband communication. MIMO techniques suffer from a large-scale linear dynamic problem, it will be easy to adjust the proportional-integral-derivative (PID) of a continuous system, unlike the nonlinear model. This work displays the tuning of the PID controller for MIMO systems utilizing a statistical grey wolf optimization (GWO) and evaluated by objective function as integral time absolute error (ITAE). The instantaneous adjusting characteristic GWO approach is the criterion that distinguishes such a

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Ramana, Ramana, K. Kavitha, Smita Rani Sahu, B. Manideep, T. Ravi Kumar, and Nibedan Panda. "An Improved Chaotic Grey Wolf Optimization Algorithm (CGWO)." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 11s (2023): 341–48. http://dx.doi.org/10.17762/ijritcc.v11i11s.8161.

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Grey Wolf Optimization (GWO) is a new type of swarm-based technique for dealing with realistic engineering design constraints and unconstrained problems in the field of metaheuristic research. Swarm-based techniques are a type of population-based algorithm inspired by nature that can produce low-cost, quick, and dependable solutions to a wider variety of complications. It is the best choice when it can achieve faster convergence by avoiding local optima trapping. This work incorporates chaos theory with the standard GWO to improve the algorithm's performance due to the ergodicity of chaos. The

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Дисертації з теми "GWO TECHNIQUE"

Cruz, Shane Elliot 1979. "An investigation into better techniques for geo-targeting." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/87222.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002. Includes bibliographical references (p. 81-84). by Shane Elliot Cruz. M.Eng.

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Picavet, Paul. "Les meules rotatives de la fin de l'Âge du Fer au haut Moyen Âge entre la Seine et le Rhin." Thesis, Lille, 2019. http://www.theses.fr/2019LIL3H005.

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Les meules, pièces maîtresses et les mieux conservées des moulins, sont emblématiques des questions relatives à l’histoire de l’économie et des techniques.De l’économie, parce que l’analyse des roches meulières révèle une chaîne complexe de recherche des ressources, d’extraction, de mise en forme, de distribution et d’utilisation qui dépend d’une série de facteurs qui ne concernent pas seulement les meules mais peuvent s’appliquer à toutes sortes de productions artisanales répondant à des besoins primaires de subsistance.Des techniques, parce que l’amélioration des procédés de mouture est le f

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Gao, Mengfei [Verfasser]. "Combining expansion microscopy with other super-resolution techniques / Mengfei Gao." Berlin : Freie Universität Berlin, 2020. http://d-nb.info/1205314776/34.

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Ferrara, Carlotta <1983&gt. "Ground penetrating radar early-time technique for soil electromagnetic parameters estimation." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amsdottorato.unibo.it/6311/1/Ferrara_Carlotta_Tesi.pdf.

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In recent years, thanks to the technological advances, electromagnetic methods for non-invasive shallow subsurface characterization have been increasingly used in many areas of environmental and geoscience applications. Among all the geophysical electromagnetic methods, the Ground Penetrating Radar (GPR) has received unprecedented attention over the last few decades due to its capability to obtain, spatially and temporally, high-resolution electromagnetic parameter information thanks to its versatility, its handling, its non-invasive nature, its high resolving power, and its fast implementatio

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Chini, Marco <1973&gt. "Radar and optical remote sensing techniques for earthquake damage mapping." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2008. http://amsdottorato.unibo.it/863/1/Tesi_Chini_Marco.pdf.

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Chen, Weiyi. "L'hétérogénéisation et l'altérité : Guo Xi, Giuseppe Castiglione et Xu Baihong. Ou la modification dans la peinture chinoise." Thesis, Université de Paris (2019-....), 2019. http://www.theses.fr/2019UNIP7007.

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Анотація:

Les images, les peintures montrent davantage ce qu’il y a d’inattendu, de surprenant dans la pensée de l’autre, elles nous aident à voir et à comprendre l’altérité. Cette recherche se présente comme une rétrospective de la transformation de la pensée chinoise à travers les œuvres de trois peintres qui sembleraient marquer des jalons dans l’histoire d’une rencontre avec l’autre : Guo Xi, Giuseppe Castiglione et Xu Beihong. Les œuvres nous serviront d’appui pour discuter sur la culture et sa transformation. Dans ce sens Guo Xi nous permettra de discuter sur l’altérité de la peinture et la pensée

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Ferrari, F. "ROCK MASS CHARACTERIZATION AND SPATIAL ESTIMATION OF GEOMECHANICAL PROPERTIES THROUGH GEOSTATISTICAL TECHNIQUES." Doctoral thesis, Università degli Studi di Milano, 2014. http://hdl.handle.net/2434/231572.

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This thesis deals with geostatistics, which is a branch of statistics focusing on spatial or spatiotemporal datasets, and explores its possible application to rock mechanics, with particular reference to wide areas, located in the Alpine context. The final objective of this work is the estimation (i.e. the prediction), through geostatistical techniques, of the geomechanical parameters determining the quality of rock masses, starting form punctual and scattered sampling locations.This thesis is a contribute in assessing how the rock mass features, in the Alpine geological context, can be r

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Adani, Mario <1977&gt. "Reanalysis Techniques for the numerical modelling of the Mediterranean Sea Circulation." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2008. http://amsdottorato.unibo.it/861/1/Tesi_Adani_Mario.pdf.

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Книги з теми "GWO TECHNIQUE"

Shen, Shuyang. Guo hua liu fa xin lun. Beijing zhong xian tuo fang ke ji fa zhan you xian gong si, 2012.

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Shen, Shuyang. Guo hua liu fa xin lun. Beijing zhong xian tuo fang ke ji fa zhan you xian gong si, 2007.

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Zhou, Shixin. Guo hua ji fa gai lun. Zhongguo wen hua da xue chu ban bu, 1986.

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Roger, Hicks, ed. Te shu hisao guo she ying =: Photographic special effects. Wan li ji gou, wan li shu dian, 1997.

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Eio, Sakata. Killer of go: Technique and preventative measures. Yutopian Enterprises, 1994.

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Cho, Hun-Hyeon. Cho Hun-hyeon's lectures on go techniques. Edited by Hutchinson Craig R. Yutopian Enterprises, 1996.

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Bai, Hewen, Fuquan Du, and Zongdian Min. Zhongguo jin dai nong ye ke ji shi gao. Zhongguo nong ye ke ji chu ban she, 1996.

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Zhou, Shixin. Guo hua ji fa gai lun. Zhongguo wen hua da xue chu ban bu, 1986.

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Wang, Guangsheng. Guo hua ru men bao dian. Bei xing tu shu shi ye gu fen you xian gong si, 2015.

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Fu, Baoshi. Guo hua xie shan yao fa. Hong tu chu ban she, 1989.

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Частини книг з теми "GWO TECHNIQUE"

Mohammed, Ahmed Nura, Shamik Chatterjee, and Mohammad Bello. "AGC of Two-Area Non-reheat Power System Using GWO Technique." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-0089-2_23.

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Ranjan, Ashish, and Jayanti Choudhary. "Power Quality Enhancement in Grid-Connected Energy System with UPQC Using Hybrid PSO-GWO Optimization Technique." In Advances in Data-Driven Computing and Intelligent Systems. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9531-8_3.

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Debnath, Manoj Kumar, and Priyambada Satapathy. "Mamdani-Based Fuzzy PI Controller Tuned by Binary GWO Technique for LFC Problem in Solar-Thermal Interconnected System." In Lecture Notes in Electrical Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6772-4_8.

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Gatrell, Jay D., Gregory D. Bierly, and Ryan R. Jensen. "Dissertation II: Geo-Techniques." In Research Design and Proposal Writing in Spatial Science. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-2281-1_13.

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Yu, Genong. "Dissertation II: Geo-Techniques." In Research Design and Proposal Writing in Spatial Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60019-8_13.

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Tripathi, Sandeep, Ashish Shrivastava, and K. C. Jana. "GWO Based PID Controller Optimization for Robotic Manipulator." In Intelligent Computing Techniques for Smart Energy Systems. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0214-9_100.

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Mishra, Alok Kumar, Pradip Kumar Nanda, Shekharesh Barik, Dipansu Ranjan Mohapatra, Pratap Kumar Sahoo, and Akshaya Kumar Patra. "GWO fuzzy PID controlled cuk and SEPIC converter based PFR." In Intelligent Computing Techniques and Applications. CRC Press, 2025. https://doi.org/10.1201/9781003658221-32.

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Alkan, Reha Metin, I. Murat Ozulu, Veli İlçi, F. Engin Tombuş, and Murat Şahin. "Usability of GNSS Technique for Cadastral Surveying." In Cadastre: Geo-Information Innovations in Land Administration. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51216-7_8.

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Yang, Zhanwei, Yun Xu, Bo Cai, Liwei Wang, and Liao Wang. "Reducing Fracturing Pressure by Using Novel Stimulating Technique for Ultra-tight Rock." In Information Technology in Geo-Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32029-4_40.

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Weekes, Trevor C. "TeV Gamma-Ray Astronomy, Techniques." In The Gamma Ray Sky with Compton GRO and SIGMA. Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0067-0_3.

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Тези доповідей конференцій з теми "GWO TECHNIQUE"

Kumar, Paramveer, and Sudhakar Pandey. "Optimizing Sensor Node Placement in Wireless Sensor Networks Using Hybrid PSO-GWO Technique." In 2024 IEEE 1st International Conference on Advances in Signal Processing, Power, Communication, and Computing (ASPCC). IEEE, 2024. https://doi.org/10.1109/aspcc62191.2024.10881562.

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Alblooshi, Mariam, Ramesh Bensal, and Ahmed G. Abo-Khalil. "MPPT using GWO and P&O Techniques for Grid-Connected PV Systems." In 2024 International Conference on Control, Computing, Communication and Materials (ICCCCM). IEEE, 2024. https://doi.org/10.1109/iccccm61016.2024.11039977.

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Jayapriya, J., and Michael Arock. "A parallel GWO technique for aligning multiple molecular sequences." In 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE, 2015. http://dx.doi.org/10.1109/icacci.2015.7275611.

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Sharma, Anushka, and Utkarsh Tyagi. "A Hybrid Approach of ANN-GWO Technique for Intrusion Detection." In 2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT). IEEE, 2021. http://dx.doi.org/10.1109/rteict52294.2021.9573800.

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Olayan, Amira, Albashir Adel Youssef, and Mohamed Samir Abou El-Seoud. "A Novel Optimized Resource Allocation Algorithm using GWO Optimization Technique for WBAN." In ICSIE 2023: 2023 12th International Conference on Software and Information Engineering. ACM, 2023. http://dx.doi.org/10.1145/3634848.3634856.

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Deepika, Rajneesh Kumar, and Dalip. "An Enhanced Framework for Data Protection in Cloud Environment using ECL-GWO Technique." In 2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA). IEEE, 2023. http://dx.doi.org/10.1109/icidca56705.2023.10099650.

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Routray, Aliva, Khyati D. Mistry, and Sabharaj Arya. "Loss Minimization in Distribution System Considering Hourly Data Driven Probabilistic Solar Astronomical Model with GWO Technique." In 2019 IEEE 1st International Conference on Energy, Systems and Information Processing (ICESIP). IEEE, 2019. http://dx.doi.org/10.1109/icesip46348.2019.8938352.

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Somia, Taba, Benchana Mohamed Amine, Redadaa Salah, and Ikni Samir. "SCA-GWO: A Hybrid Optimization Method Based on the PTS Technique for PAPR Mitigation in OFDM Systems." In Cognitive Models and Artificial Intelligence Conference. SETSCI, 2023. http://dx.doi.org/10.36287/setsci.6.1.028.

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Merzoug, Ahmed, Abderraouf Chemmakh, Habib Ouadi, et al. "A New Model for Optimized Gas Allocation in Gas Lift Operation Using Metaheuristic Algorithms." In SPE Middle East Artificial Lift Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/206989-ms.

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Abstract Gas lift is one of the most commonly used artificial lift method in oil-producing wells. However, the technique requires constant optimization of gas allocation to maximize profit. The Gas Lift Performance Curves (GLPC) are the main design element that is used for optimized injection. Several authors have proposed models to fit the GLPC. These curves are generated by modeling wells in a multiphase steady-state simulator. Once the model is built, a sensitivity analysis is run, and the curves are generated. In this work, The common workflow to generate GLPC was followed. Then, a new cor

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Wang, Manliang, and Bingtuan Gao. "An Improved GWO Technique Integrated with P&O Algorithm for Photovoltaic System Considering Different Conditions in the Irradiance." In 2022 IEEE 5th International Electrical and Energy Conference (CIEEC). IEEE, 2022. http://dx.doi.org/10.1109/cieec54735.2022.9846656.

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Звіти організацій з теми "GWO TECHNIQUE"

YANG, Wunian, Yulan WANG, Li PENG, Xianli HU, Min ZHANG, and Feng LIANG. Complicated Geo-Body Modeling Based on Dummy Borehole Chain Technique. Cogeo@oeaw-giscience, 2011. http://dx.doi.org/10.5242/iamg.2011.0233.

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Cook, Samantha, Matthew Bigl, Sandra LeGrand, Nicholas Webb, Gayle Tyree, and Ronald Treminio. Landform identification in the Chihuahuan Desert for dust source characterization applications : developing a landform reference data set. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45644.

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ERDC-Geo is a surface erodibility parameterization developed to improve dust predictions in weather forecasting models. Geomorphic landform maps used in ERDC-Geo link surface dust emission potential to landform type. Using a previously generated southwest United States landform map as training data, a classification model based on machine learning (ML) was established to generate ERDC-Geo input data. To evaluate the ability of the ML model to accurately classify landforms, an independent reference landform data set was created for areas in the Chihuahuan Desert. The reference landform data set

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Холошин, Ігор Віталійович, Ірина Миколаївна Варфоломєєва, Олена Вікторівна Ганчук, Ольга Володимирівна Бондаренко, and Андрій Валерійович Пікільняк. Pedagogical techniques of Earth remote sensing data application into modern school practice. CEUR-WS.org, 2018. http://dx.doi.org/10.31812/123456789/3257.

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Abstract. The article dwells upon the Earth remote sensing data as one of the basic directions of Geo-Information Science, a unique source of information on processes and phenomena occurring in almost all spheres of the Earth geographic shell (atmosphere, hydrosphere, lithosphere, etc.). The authors argue that the use of aerospace images by means of the information and communication technologies involvement in the learning process allows not only to increase the information context value of learning, but also contributes to the formation of students’ cognitive interest in such disciplines as g

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Kholoshyn, Ihor V., Iryna M. Varfolomyeyeva, Olena V. Hanchuk, Olga V. Bondarenko, and Andrey V. Pikilnyak. Pedagogical techniques of Earth remote sensing data application into modern school practice. [б. в.], 2019. http://dx.doi.org/10.31812/123456789/3262.

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The article dwells upon the Earth remote sensing data as one of the basic directions of Geo-Information Science, a unique source of information on processes and phenomena occurring in almost all spheres of the Earth geographic shell (atmosphere, hydrosphere, lithosphere, etc.). The authors argue that the use of aerospace images by means of the information and communication technologies involvement in the learning process allows not only to increase the information context value of learning, but also contributes to the formation of students’ cognitive interest in such disciplines as geography,

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Lozev and Spencer. L52023 Inspection of Welds in Thin-Wall Pipe Using Mechanized Ultrasonic Inspection. Pipeline Research Council International, Inc. (PRCI), 2003. http://dx.doi.org/10.55274/r0011117.

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Generally, the inspection of welds in pipes with a wall thickness less than 6 mm is performed using radiography.� Because radiography is very sensitive to the orientation of planar weld defects, these types of defects often go undetected.� In contrast, ultrasonic testing (UT) offers a better solution for detecting and sizing of these defects. In this project a method to inspect welds in thin-walled pipe less than 6-mm thick using mechanized ultrasonic weld inspection was developed.�The project investigated the application of time-based high-frequency (up to 15 MHz) single/multi-probe technique

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Sancio, Rodolfo. PR-616-164506-R01 Management of Geohazards Affecting Engineering and Construction of Pipelines. Pipeline Research Council International, Inc. (PRCI), 2018. http://dx.doi.org/10.55274/r0011484.

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The available literature includes numerous publications describing approaches, methods, and recommendations, for identifying, characterizing, and mitigating geohazards, as well and case histories of pipelines affected by geohazards and how their effects were mitigated. However, these publications are not comprehensive; separately provide information for identification, characterization, and mitigation; do not include all geohazards affecting pipelines; or may not have been developed specifically for pipelines. PRCI identified this gap and commissioned the development of a guidance document to

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Forteza, Nicolás, Elvira Prades, and Marc Roca. Analysing the VAT cut pass-through in Spain using web-scraped supermarket data and machine learning. Banco de España, 2024. http://dx.doi.org/10.53479/36652.

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On 28 December 2022, the Spanish government announced a temporary Value Added Tax (VAT) rate reduction for selected products. VAT rates were cut on 1 January 2023 and are expected to go back to their previous level by mid-2024. Using a web-scraped dataset, we leverage machine learning techniques to classify each product. Then we study the price effects of the temporary VAT rate reduction, covering the daily prices of roughly 10,000 food products sold online by a Spanish supermarket. To identify the causal price effects, we compare the evolution of prices for treated items (that is, subject to

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Gallagher, P. E. Stardate: NCGMP09 to boldly go where no standard has gone before, DGGS Standards training (poster and presentation): Digital Mapping Techniques Workshop, Newark, Delaware, June 1-4, 2014. Alaska Division of Geological & Geophysical Surveys, 2014. http://dx.doi.org/10.14509/29174.

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Hummels, David. Toward a Geography of Trade Costs. GTAP Working Paper, 2003. http://dx.doi.org/10.21642/gtap.wp17.

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What are the barriers that separate nations? While recent work provides intriguing clues, we have remarkably little concrete evidence as to the nature, size, and shape of barriers. This paper offers direct and indirect evidence on trade barriers, moving us toward a comprehensive geography of trade costs. There are three main contributions. One, we provide detailed data on freight rates for a number of importers. Rates vary substantially over exporters, and aggregate expenditures on freight are at the low end of the observed range. This suggests import choices are made so as to minimize transpo

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Decroux, Agnes, Kassem Kalo, and Keith Swinden. PR-393-205100-R01 IRIS X-Ray CT Qualification for Flexible Pipe Inspection (Phase 1). Pipeline Research Council International, Inc. (PRCI), 2021. http://dx.doi.org/10.55274/r0012068.

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There are several techniques available to inspect single wall carbon steel pipelines including; Magnetic flux leakage (MFL), ultrasonic testing (UT), Electro-Magnetic Acoustic Transducer (EMAT), Phased Array, guide wave testing (GWT), etc. However, for more complex structures such as flexible pipelines the technology available to inspect them is far more limited. PRCI commissioned a program (SPIM 2-1) under the Subsea TC (2017-2020) to evaluate all known and suspected technologies that could be used to provide a detailed subsea inspection of a flexible riser. PRCI produced four samples of flex

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