Relevant bibliographies by topics / OTLBO

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

Academic literature on the topic 'OTLBO'

Author: Grafiati
Published: 11 September 2023
Last updated: 31 July 2025

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Journal articles on the topic "OTLBO"

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Doroudi, Siyamak, Ahmad Sharafati, and Seyed Hossein Mohajeri. "Estimation of Daily Suspended Sediment Load Using a Novel Hybrid Support Vector Regression Model Incorporated with Observer-Teacher-Learner-Based Optimization Method." Complexity 2021 (March 2, 2021): 1–13. http://dx.doi.org/10.1155/2021/5540284.

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Predicting suspended sediment load (SSL) in water resource management requires efficient and reliable predicted models. This study considers the support vector regression (SVR) method to predict daily suspended sediment load. Since the SVR has unknown parameters, the observer-teacher-learner-based Optimization (OTLBO) method is integrated with the SVR model to provide a novel hybrid predictive model. The SVR combined with the genetic algorithm (SVR-GA) is used as an alternative model. To explore the performance and application of the proposed models, five input combinations of rainfall and dis
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Prakash, Anand, R. K. Yadav, and Daya Gupta. "Sensor Node Deployment based on OTLBO in WSN." Procedia Computer Science 57 (2015): 988–95. http://dx.doi.org/10.1016/j.procs.2015.07.500.

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Mukhopadhyay, Pranabesh, Susanta Dutta, and Provas Kumar Roy. "Optimal Location of TCSC Using Opposition Teaching Learning Based Optimization." International Journal of Energy Optimization and Engineering 4, no. 1 (2015): 85–101. http://dx.doi.org/10.4018/ijeoe.2015010106.

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This paper focuses on the optimal power flow solution and the enhancement of the performance of a power system network. The paper presents a secured optimal power flow solution by integrating Thyristor controlled series compensator (TCSC) with the optimization model developed under overload condition. The Teaching Learning Based Optimization (TLBO) has been implemented here. Recently, the opposition-based learning (OBL) technique has been applied in various conventional population based techniques to improve the convergence performance and get better simulation results. In this paper, oppositi
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Soltani, Nader, Christy Shropshire, and Peter H. Sikkema. "Responses of Various Market Classes of Dry Beans (Phaseolus vulgarisL.) to Linuron." Weed Technology 20, no. 1 (2006): 118–22. http://dx.doi.org/10.1614/wt-04-070r1.1.

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Tolerance of eight market classes of dry beans (black, brown, cranberry, kidney, otebo, pinto, white, and yellow eye beans) to the PRE application of linuron at the rate of 2.25 and 4.50 kg ai/ha was studied at two locations in Ontario, Canada, in 2003 and 2004. The eight market classes differed in their response to linuron. Linuron PRE caused as much as 43, 20, 7, 17, 54, 36, 56, and 12% visual injury in black, brown, cranberry, kidney, otebo, pinto, white, and yellow eye beans, respectively. Linuron PRE at 2.25 kg/ha reduced plant height 38% in otebo beans and 31% in white beans. Linuron PRE
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Soltani, Nader, Christy Shropshire, and Peter H. Sikkema. "Response of dry beans to halosulfuron applied postemergence." Canadian Journal of Plant Science 92, no. 4 (2012): 723–28. http://dx.doi.org/10.4141/cjps2011-220.

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Soltani, N., Shropshire, C. and Sikkema, P. H. 2012. Response of dry beans to halosulfuron applied postemergence. Can. J. Plant Sci. 92: 723–728. Four field trials were conducted over a 2-yr period (2009 and 2010) at Exeter and Ridgetown, Ontario, to evaluate the tolerance of adzuki, black, cranberry, kidney, otebo, pinto, Small Red Mexican and white beans to halosulfuron applied postemergence (POST) at 35 and 70 g a.i. ha−1. All treatments including the non-treated control were maintained weed free during the growing season. Halosulfuron applied POST caused as much as 73, 7, 13, 12, 12, 11, 1
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Sikkema, Peter H., Darren E. Robinson, Christy Shropshire, and Nader Soltani. "Tolerance of Otebo Bean (Phaseolus vulgaris) to New Herbicides in Ontario." Weed Technology 20, no. 4 (2006): 862–66. http://dx.doi.org/10.1614/wt-05-144.1.

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Weed management is a major production issue facing otebo bean growers in Ontario. Field trials were conducted at six Ontario locations during a 2-yr period (2003 and 2004) to evaluate the tolerance of otebo bean to the preplant incorporated (PPI) application of EPTC at 4,400 and 8,800 g ai/ha, trifluralin at 1,155 and 2,310 g ai/ha, dimethenamid at 1,250 and 2,500 g ai/ha,S-metolachlor at 1,600 and 3,200 g ai/ha, and imazethapyr at 75 and 150 g ai/ha. EPTC, trifluralin, dimethenamid, andS-metolachlor applied PPI resulted in minimal (less than 5%) visual injury and with exception of the low rat
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Wang, Zhipeng, Jie Cai, Xiaoxiao Liu, and Zikang Zou. "Optimized bp Neural Network Based on Improved Dung Beetle Optimization Algorithm to Predict High-Performance Concrete Compressive Strength." Buildings 14, no. 11 (2024): 3465. http://dx.doi.org/10.3390/buildings14113465.

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In modern architecture, the structural safety of buildings largely depends on the compressive strength of high-performance concrete (HPC), which is determined by the complex nonlinear relationships between its components. In order to more accurately forecast HPC’s compressive strength, this paper proposes a prediction model based on an improved dung beetle optimization algorithm (OTDBO)-optimized backpropagation neural network (BPNN). Extreme Gradient Boosting (XGBoost) is employed to determine the inputs for the BPNN, enhancing the computational efficiency under high-dimensional data feature
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Kelly, James D., Gregory V. Varner, Belinda Roman, and Brian Long. "Registration of ‘Fuji’ Otebo Bean." Journal of Plant Registrations 3, no. 3 (2009): 223–25. http://dx.doi.org/10.3198/jpr2008.12.0733crc.

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Kelly, James D., Gregory V. Varner, Sharon Hooper, Karen A. Cichy, and Evan M. Wright. "Registration of ‘Samurai’ Otebo Bean." Journal of Plant Registrations 10, no. 2 (2016): 109–14. http://dx.doi.org/10.3198/jpr2015.09.0051crc.

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Guo, Zhaodong, Zhe Yin, Yangcheng Lyu, et al. "Research on Indoor Environment Prediction of Pig House Based on OTDBO–TCN–GRU Algorithm." Animals 14, no. 6 (2024): 863. http://dx.doi.org/10.3390/ani14060863.

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Temperature and humidity, along with concentrations of ammonia and hydrogen sulfide, are critical environmental factors that significantly influence the growth and health of pigs within porcine habitats. The ability to accurately predict these environmental variables in pig houses is pivotal, as it provides crucial decision-making support for the precise and targeted regulation of the internal environmental conditions. This approach ensures an optimal living environment, essential for the well-being and healthy development of the pigs. The existing methodologies for forecasting environmental f
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Dissertations / Theses on the topic "OTLBO"

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PRAKASH, ANAND. "A HYBRID APPROACH TO OPTIMIZE NODE DEPLOYMENT & COVERAGE CONNECTIVITY IN WIRELESS SENSOR NETWORK." Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/14761.

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In this dissertation, we address the problem of finding an optimal coverage of sensor nodes in WSN while ensuring connectivity among sensors. This connectivity preservation is achieved without using centralized control and accurate location information. The optimal node coverage is done according to OTLBO (Orthogonal Teaching Learning Based Optimization) in order to improve network coverage. OTLBO is an improvement over TLBO (Teaching Learning Based Optimization) that makes TLBO fast to converge and more robust. OTLBO is a recent approach in the optimization field. The connectivity pres
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Books on the topic "OTLBO"

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Chick, Jack T. ?AK?M ???OTBO? ??TT?! - Ukrainian - This Was Your Life. Chick Publications, Incorporated, 1989.

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Book chapters on the topic "OTLBO"

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Adebajo, Adekeye. "Eloho Otobo: Farewell to a Pan-African Peacebuilder." In Global Africa. Routledge, 2023. http://dx.doi.org/10.4324/9781032667218-56.

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Journal articles
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