Academic literature on the topic 'Balanced Hybrid Condition'

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Journal articles on the topic "Balanced Hybrid Condition"

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Krupali Dhawale. "Hybrid VGG19 with Combined XGBoost Deep Neural Network for Improved Papulosquamous Skin Diseases classification." Advances in Nonlinear Variational Inequalities 28, no. 6s (2025): 64–80. https://doi.org/10.52783/anvi.v28.4122.

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This Skin condition classification is crucial for early diagnosis and treatment in dermatology, yet it poses challenges due to the complexity and variability of dermatological images. Traditional classification methods often struggle to balance performance across multiple classes, especially when dealing with rare conditions or those with overlapping features, hindering their reliability in diverse applications. This study aims to evaluate multiple classification models to determine their effectiveness in accurately classifying skin conditions, focusing on identifying the most suitable model f
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Wu, Qingcong, Xingsong Wang, and Fengpo Du. "Development and analysis of a gravity-balanced exoskeleton for active rehabilitation training of upper limb." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 230, no. 20 (2016): 3777–90. http://dx.doi.org/10.1177/0954406215616415.

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Robot-assisted therapy has become an important technology applied in rehabilitation engineering, allowing patients with motion impairment problems to perform training programs without continuous supervision from physiotherapists. The goal of this paper is to develop a gravity balanced exoskeleton for active rehabilitation training of upper limb. The mechanical structure and kinematics of the exoskeleton are described and optimized to enable natural interaction with user and avoid singular configurations within the desired workspace. The gravity balancing of the human arm and mechanism is achie
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Chilakala, Ramireddy, K. Suresh, P. Anusha, Sk Najma, B. I. Rajkumar, and B. Prasanna Lakshmi. "A passive islanding detection method for hybrid distributed generation system under balanced islanding." Indonesian Journal of Electrical Engineering and Computer Science 14, no. 1 (2019): 9. http://dx.doi.org/10.11591/ijeecs.v14.i1.pp9-19.

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<p>To solve the energy consumption demand of the world and environmental problems in the future the distributed generation is considered an alternative approach. In this paper a new passive islanding detection technique was proposed for the Hybrid distributed generation (HDG) system based on changes in negative sequence voltage (NSV) and currents during an unintentional islanding. Islanding is caused in the distributed generation system due to failures in the power grid. As per distribution energy resources interconnection standards, it should be detected within 2 sec with the equipments
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Suresh, K., P. Anusha, Sk. Najma, B. I. Rajkumar, Reddy Ch. Rami, and B. Prasanna Lakshmi. "A passive islanding detection method for hybrid distributed generation system under balanced islanding." Indonesian Journal of Electrical Engineering and Computer Science 14, no. 1 (2019): 9–19. https://doi.org/10.11591/ijeecs.v14.i1.pp9-19.

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To solve the energy consumption demand of the world and environmental problems in the future the distributed generation is considered an alternative approach. In this paper a new passive islanding detection technique was proposed for the Hybrid distributed generation (HDG) system based on changes in negative sequence voltage (NSV) and currents during an unintentional islanding. Islanding is caused in the distributed generation system due to failures in the power grid. As per distribution energy resources interconnection standards, it should be detected within 2 sec with the equipments connecte
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Hua, Yuyang, Xin Jin, and Sen Xie. "Outlet Liquid Material Concentration Prediction of an Evaporation Process Based on Knowledge and Data Information." Processes 10, no. 12 (2022): 2525. http://dx.doi.org/10.3390/pr10122525.

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The outlet liquid material concentration is a key production indicator to evaluate the evaporation quality and an important basis to adjust the evaporation operation parameters. However, the online concentration analyzer has strict installation conditions and high prices, and it is difficult to obtain the liquid material concentration in time. Usually, the field works perform imprecise operations according to the time delay information. In addition, the process data contain errors, which affects the accuracy and timeliness of process optimization and control. Therefore, a hybrid prediction mod
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Ren, Yaxing, Saqib Jamshed Rind, and Lin Jiang. "A coordinated control strategy for battery/supercapacitor hybrid energy storage system to eliminate unbalanced voltage in a standalone AC microgrid." Journal of Intelligent Manufacturing and Special Equipment 1, no. 1 (2020): 3–23. http://dx.doi.org/10.1108/jimse-08-2020-0007.

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PurposeA standalone microgrid (MG) is able to use local renewable resources and reduce the loss in long distance transmission. But the single-phase device in a standalone MG can cause the voltage unbalance condition and additional power loss that reduces the cycle life of battery. This paper proposes an energy management strategy for the battery/supercapacitor (SC) hybrid energy storage system (HESS) to improve the transient performance of bus voltage under unbalanced load condition in a standalone AC microgrid (MG).Design/methodology/approachThe SC has high power density and much more cycling
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Hartono, Hartono, and Erianto Ongko. "Avoiding Overfitting dan Overlapping in Handling Class Imbalanced Using Hybrid Approach with Smoothed Bootstrap Resampling and Feature Selection." JOIV : International Journal on Informatics Visualization 6, no. 2 (2022): 343. http://dx.doi.org/10.30630/joiv.6.2.985.

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The dataset tends to have the possibility to experience imbalance as indicated by the presence of a class with a much larger number (majority) compared to other classes(minority). This condition results in the possibility of failing to obtain a minority class even though the accuracy obtained is high. In handling class imbalance, the problems of diversity and classifier performance must be considered. Hence, the Hybrid Approach method that combines the sampling method and classifier ensembles presents satisfactory results. The Hybrid Approach generally uses the oversampling method, which is pr
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Nireekshana, Turaka, Bhavani J., Sudha Rani K., and Naveen Kumar G. "Comparative Analysis on Power Transmission Congestion Management using Evolutionary Algorithms, Hybrid Model under Overload and Contingency Conditions." Journal of Recent Trends in Electrical Power System 6, no. 3 (2023): 1–18. https://doi.org/10.5281/zenodo.8245538.

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<em>The power system is said to be in balanced state if generated power is equal to demand ideally. Here demand comprises of industrial loads, commercial loads, infrastructure, domestic loads, critical loads, etc. Due to increase in population the demand of electricity is also increasing drastically. Due to increase in demand, there is a considerable effect on power carrier (transmission lines) connecting generating stations and loads in the form of congestion. Since, if there is increase in demand the transmission lines must carry the power sometimes it can be more than its maximum power tran
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Murugan, R., Rajagopal Ramesh, and K. Padmanabhan. "Investigation on Vibration Behaviour of Cantilever Type Glass/Carbon Hybrid Composite Beams at Higher Frequency Range Using Finite Element Method." Advanced Materials Research 984-985 (July 2014): 257–65. http://dx.doi.org/10.4028/www.scientific.net/amr.984-985.257.

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Woven fabric composites are now being increasingly used in aircraft and automobile structures due to balanced properties in the fabric plane. In the present work, woven fabric glass beam is modified and strengthened by interplying high modulus carbon fabric plies for improving the strength to weight ratio and thereby to achieve better performance in various dynamic conditions. The objective of the present work is to investigate the vibration behavior of cantilever type glass/carbon hybrid composite beams subjected to higher frequency of operation using finite element method. Unit plied woven f
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Ekong, Victor. "SOFT COMPUTING SYSTEM FOR THE DIAGNOSIS OF HORMONAL IMBALANCE." Transactions on Machine Learning and Artificial Intelligence 7, no. 6 (2020): 30–42. http://dx.doi.org/10.14738/tmlai.76.7507.

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Soft computing, as a science of modelling systems, applies techniques such as evolutionary computing, fuzzy logic, and their hybrids to solve real life problems. Soft computing techniques are quite tolerant to incomplete, imprecise, and uncertainty when dealing with complex situations. This study adopts a hybrid of genetic algorithm and fuzzy logic in diagnosing hormonal imbalance. Hormones are chemical messengers that are vital for growth, reproduction, and are essential for human existence. Hormones may sometimes not be balanced which is a medical condition that often go unnoticed and it’s q
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Books on the topic "Balanced Hybrid Condition"

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Durakova, Irina, Svetlana Pugach, Aleksandra Mitrofanova, et al. HR Management in Russia: the Policy of diversity and inclusiveness. Book 10. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1876366.

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The monograph contains the results of research concerning, firstly, the specifics of the formation of the strategy and policy of personnel diversity, the specifics of youth as an object of diversified personnel management; issues of discrimination of employees in the workplace. Secondly, the promotion of scientific thought in the development of a productive model of hybrid employment, solving the problems of motivational HR diversity of public civil servants; determining the prospects for a rational balance of freedom and security in the modern world; presenting a new paradigm for combining wo
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Benes, Jaromir, Andrew Berg, Rafael Portillo, and David Vavra. Modelling Sterilized Interventions and Balance Sheet Effects of Monetary Policy in a New Keynesian Framework. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198785811.003.0013.

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The authors study a wide range of hybrid inflation-targeting (IT) and managed exchange rate regimes, analysing their implications for inflation, output and the exchange rate in the presence of various domestic and external shocks. To this end, the chapter presents an open economy New Keynesian model featuring sterilized interventions in the foreign exchange (FX) market as an additional central bank instrument operating alongside the Taylor rule, and affecting the economy through portfolio balance sheet effects in the financial sector. The chapter shows that there can be advantages to combining
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Skiba, Grzegorz. Fizjologiczne, żywieniowe i genetyczne uwarunkowania właściwości kości rosnących świń. The Kielanowski Institute of Animal Physiology and Nutrition, Polish Academy of Sciences, 2020. http://dx.doi.org/10.22358/mono_gs_2020.

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Bones are multifunctional passive organs of movement that supports soft tissue and directly attached muscles. They also protect internal organs and are a reserve of calcium, phosphorus and magnesium. Each bone is covered with periosteum, and the adjacent bone surfaces are covered by articular cartilage. Histologically, the bone is an organ composed of many different tissues. The main component is bone tissue (cortical and spongy) composed of a set of bone cells and intercellular substance (mineral and organic), it also contains fat, hematopoietic (bone marrow) and cartilaginous tissue. Bones a
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Book chapters on the topic "Balanced Hybrid Condition"

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Böschen, Stefan. "Indicator Politics: Modelling Societal Problems Under Real-World Conditions." In Modelling the Energy Transition. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-69031-0_11.

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Abstract This article explores the modelling of social problems from the point of view of experimental practices. As we observe an expansion of experimental spaces in the present, especially in the form of real-world labs (living labs), the question arises how knowledge for collective problem-solving is produced in the hybrid zone between different social fields and heterogeneous actors. The analytical lens applied here is knowledge modelling using indicators. The question is, how against the background of different qualities in political discourses (political ability, will and obligation) a b
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Achour, Zyed. "Social Sustainability in the Gig Economy." In Sustainability and Adaptability of Gig Economies in Global Business. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-9385-7.ch011.

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The platform economy is reshaping labor markets, offering flexibility but increasing worker precarity through income instability, algorithmic management, and limited social protections. This chapter examines social sustainability in platform work, focusing on social capital, digital solidarity networks, and social innovation as resilience mechanisms. It explores regulatory gaps and the role of platform cooperativism and hybrid support systems in addressing labor vulnerabilities. By proposing an integrated framework that balances economic flexibility with institutional protections, the chapter
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Tuliakov, Viacheslav. "War, Crime, Victimology, Human Rights and Criminal Justice Holistic Approach." In The Challenges and Opportunities in Law: Ukrainian Case under the Conditions of War. Ksiegarnia Akademicka Publishing, 2023. http://dx.doi.org/10.12797/9788381388887.07.

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International and national substantial criminal law protects human rights and maintains a balance between people’s security and the state’s apparatus. New hybrid and aggressive war challenges necessitate understanding the stability of criminal legal form and social care amidst evolving public and social relations. By analyzing crime and abuse of power ten-dencies, we can challenge social control schemes related to international society, the state, perpetrators, victims, and civil society attitudes. This article explores the interrelationships among war consequences, crime, modern victimology,
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E. Elashry, Manar, Elsayed G. Khater, and Samir A. Ali. "Perspective Chapter: Modeling and Optimization Approaches of Physicomechanical Attributes for Biocomposite-Cultivating Pots." In Composite Materials - Science and Engineering [Working Title]. IntechOpen, 2025. https://doi.org/10.5772/intechopen.1008141.

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This chapter explores the physicomechanical attributes of biocomposite materials used in cultivating pots, focusing on the modeling and optimization of filler compositions. It integrates analytical models to predict the behavior of biocomposites under varying conditions. The chapter also employs a hybrid TOPSIS-Taguchi method to optimize filler proportions, achieving an optimal balance between mechanical performance and sustainability. By investigating sustainable filler materials, the study advances the development of eco-friendly biocomposites, optimizing both functional properties and envir
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Angelo, Paul J. "Conclusion: Security Assistance and Local Preferences and Power Relations." In From Peril to Partnership. Oxford University PressNew York, 2024. http://dx.doi.org/10.1093/oso/9780197688106.003.0010.

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Abstract The conclusion highlights the principal lessons of US security assistance to Colombia and Mexico, underscoring the policy implications and providing recommendations for further research. It emphasizes private-sector contributions, legislative consultations, and whole-of-government agenda setting as top facilitators of security sector reform. It argues that conditions traditionally seen as unfavorable for security sector reform—economic depression, armed conflict, and clientelism, for example—did not impede progress in Colombia. However, security assistance stands its best change of im
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Birch, Sarah. "Carrots and Sticks." In Electoral Violence, Corruption, and Political Order. Princeton University Press, 2020. http://dx.doi.org/10.23943/princeton/9780691203621.003.0002.

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This chapter develops the study's main argument as to the incentives under which state and nonstate actors will employ violent means of shaping electoral outcomes, in addition to alternatives such as vote buying, fraud, or programmatic competition. This argument posits that electoral violence is shaped by the balance of democratic institutions and corruption, which conditions the costs of being excluded from power and the benefits of winning office. In electoral authoritarian and hybrid regimes, rulers are reluctant to open themselves to the risk of democratic competition. The chapter then set
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Stojanović, Predrag. "O ekološkoj funkciji pojedinih poreskih podsticaja." In XXI vek - vek usluga i uslužnog prava : knj.11. University of Kragujevac, Faculty of Law, 2020. http://dx.doi.org/10.46793/xxiv-11.373s.

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Tax incentives can be seen as state support to the taxpayer. The most frequent argument for in their favour is the possibility of increased stimulation of foreign investments in the economy. Still, tax incentives are only one of the factors taken into account by the investors and included in their economic decisions. It seems necessary to establish a balance between such a way of satisfying the need to attract foreign capital and the need to protect the environment as our existential conditio sine qua non. The intention of the legislator to stimulate the purchase of electric and hybrid vehicle
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"Biology and Management of Inland Striped Bass and Hybrid Striped Bass." In Biology and Management of Inland Striped Bass and Hybrid Striped Bass, edited by Jessica S. Thompson and James A. Rice. American Fisheries Society, 2013. http://dx.doi.org/10.47886/9781934874363.ch5.

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&lt;em&gt;Abstract&lt;/em&gt;.—Warm epilimnetic temperatures and hypolimnetic hypoxia during summer stratification have been linked to poor growth and condition of inland striped bass &lt;em&gt;Morone saxatilis&lt;/em&gt;. Contrary to expectations, however, growth occurs in some reservoirs with intense temperature–oxygen stratification in which hypoxia forces striped bass into temperatures well above their preferred range. One potential explanation for this apparent contradiction is that high forage availability may mediate the energetic costs of exposure to warm summer temperatures in some sy
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Maschmeyer, Lennart. "Cyber-Enabled Subversion." In Subversion. Oxford University Press, 2024. http://dx.doi.org/10.1093/oso/9780197745854.003.0005.

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Abstract This chapter provides the first systematic examination of the role subversion has played in Russia’s “hybrid war” strategy short of war against Ukraine between 2013 and 2022. It evaluates and compares the use of both traditional means and cyber operations to achieve Moscow’s strategic goals. Traditional subversion produced some key successes, culminating in the annexation of Crimea. These successes provide further evidence of the importance of enabling conditions, foremost the extent of available vulnerabilities. Contrary to prevailing expectations about a revolution short of war enab
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Nelson, Kevin R. "Near-Death in the Borderlands of Consciousness." In The Oxford Handbook of Psychedelic, Religious, Spiritual, and Mystical Experiences. Oxford University Press, 2024. http://dx.doi.org/10.1093/oxfordhb/9780192844064.013.28.

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Abstract Near-death experiences have gained wide attention, forging an indelible image of spiritual experience in many people today. This chapter examines the neuroscience underpinnings of near-death, including principles that have often been neglected or distorted, often skewing the common impression of near-death. During near-death from fainting or cardiac arrest, the boundary between consciousness and unconsciousness blurs in moments of insufficient cerebral blood flow (ischemia). Brain ischemia can also disrupt the physiological balance between conscious states, leading the brainstem arous
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Conference papers on the topic "Balanced Hybrid Condition"

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Nemoto, Kosuke, Sara Badr, Yusuke Hayashi, et al. "A hybrid-modeling approach to monoclonal antibody production process design using automated bioreactor equipment." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.196476.

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This work presents a hybrid-modeling approach to monoclonal antibody (mAb) production processes design using automated bioreactor equipment. Experimental data covering a reasonable yet broad range of cultivation conditions was collected by the equipment. Using the data, a model applicable to a wide range of cultivation conditions was developed. In the modeling, a data-driven model was applied to describe complicated/unknown phenomena that could not be captured by previously proposed mechanistic models. In the hybrid model, while maintaining the mass balance of the mechanistic model, coefficien
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Mosqueda-Huerta, Zaira Jelena, Oscar Daniel Lara-Monta�o, Fernando Israel G�mez-Castro, and Manuel Toledano-Ayala. "Optimal Design of Process Equipment Through Hybrid Mechanistic-ANN Models: Effect of Hybridization." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.134500.

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Artificial neural networks (ANNs) have gained popularity in the last years as tools to develop data-driven models of chemical process units. However, representing a system only with such artificial intelligence models may lead to a loss in the comprehension of the occurring phenomena. Hybrid models allow combining the predictive capabilities of ANNs with the foundational knowledge of rigorous models. This study explores the impact of hybridization in designing and optimizing shell-and-tube heat exchangers, comparing a full ANN-based model with a hybrid model. The hybrid model incorporates ANN
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Kang, Yung Shun, Hemalatha Kilari, Neda Nazemifard, et al. "Process Design of an Industrial Crystallization Based on Degree of Agglomeration." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.193450.

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This study proposes a model-based approach utilizing a hybrid population balance model (PBM) to optimize temperature profiles for minimizing agglomeration and enhancing crystal growth. The PBM incorporates key mechanisms�nucleation, growth, dissolution, agglomeration, and deagglomeration�and is applied to the crystallization of an industrial active pharmaceutical ingredient (API), Compound K. Parameters were estimated through prior design of experiments (DoE) and refined via additional thermocycle experiments. In-silico DoE simulations demonstrate that the hybrid PBM outperforms traditional me
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Tonetti, Lorenzo G., and Ruy de Sousa. "Computational Intelligence Applied to the Mathematical Modeling of the Esterification of Fatty Acids with Sugars." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.190968.

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The mathematical modeling of enzymatic reactors for esterification of fatty acids with sugars in the production of biosurfactants has been a useful tool for studying and optimizing the process. In particular, artificial neural networks and fuzzy systems emerge as promising methods for developing models for those processes. In this work, regarding artificial neural networks application, coupling of networks to reactor mass balances was considered in hybrid models to infer reactant concentrations over time. Computationally, an algorithm was constructed incorporating material balances, neural rea
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Zhao, Yalun, Jin Xuan, and Lei Xing. "Physics-based and data-driven hybrid modelling and dynamic adaptive multi-objective optimization of chemical reactors for CO2 capture via enhanced weathering." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.186688.

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Enhanced weathering (EW) of alkaline minerals in chemical reactors with a controlled environment is recognized as a promising approach for gigaton-level carbon dioxide removal. However, reactor configuration and operating conditions must be optimized to balance the interfacial areas between gas, liquid and solid phases prior to industrial application. We developed a physics-based and data-driven hybrid modelling approach, coupled with multi-objective optimization, to study and compare three typical chemical reactors, i.e., trickle bed, packed bubbling columns, and stirred slurry reactors, and
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Bharat, Dhiraj, and Aanchal Sharma. "Multiple dominant current harmonics removal using shunt hybrid active filters under harmonically balanced condition." In 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES). IEEE, 2016. http://dx.doi.org/10.1109/icpeices.2016.7853142.

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Bharat, Dhiraj, and Priti Srivastava. "Removal of source current harmonics under Harmonically Balanced Condition using shunt hybrid active filters." In 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES). IEEE, 2016. http://dx.doi.org/10.1109/icpeices.2016.7853153.

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Jung, DaeYi, and Hans DeSmidt. "Hybrid Adaptive Rotor Imbalance Vibration Control via Passive Autobalancer and Active Bearing Actuation." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48629.

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Many researchers have explored the use of active bearings, such as non-contact Active Magnetic Bearings for example, to control imbalance vibration in rotor systems. This paper develops a new hybrid adaptive imbalance vibration control approach based on an active bearing augmented with a passive automatic balancing device (ABD) to enhance the balancing and vibration isolation capabilities. Essentially, an ABD or “autobalance” consists of several freely moving eccentric balancing masses mounted on the rotor, which, at supercritical operating speeds, act to cancel the rotor’s imbalance at steady
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Freeh, Joshua E., Christopher J. Steffen, and Louis M. Larosiliere. "Off-Design Performance Analysis of a Solid-Oxide Fuel Cell/Gas Turbine Hybrid for Auxiliary Aerospace Power." In ASME 2005 3rd International Conference on Fuel Cell Science, Engineering and Technology. ASMEDC, 2005. http://dx.doi.org/10.1115/fuelcell2005-74099.

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A solid-oxide fuel cell/gas turbine hybrid system for auxiliary aerospace power is analyzed using 0-D and 1-D system-level models. The system is designed to produce 440kW of net electrical power, sized for a typical long-range 300-passenger civil airplane, at both sea level and cruise flight level (12,500m). In addition, a part power level of 250kW is analyzed at the cruise condition, a requirement of the operating power profile. The challenge of creating a balanced system for the three distinct conditions is presented, along with the compromises necessary for each case. A parametric analysis
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Zhao, Chengbi, and Ming Ma. "A Hybrid 2.5D High Speed Strip Theory Method and its Application to Apply Pressure Loads to 3D Full Ship Finite Element Models." In SNAME Maritime Convention. SNAME, 2014. http://dx.doi.org/10.5957/smc-2014-t03.

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As the three-dimensional finite element model has become the de facto standard for ship structural design, interest in accurately transferring seakeeping loads to panel based structural models has increased dramatically in recent years. In today’s design practices, panel based hydrodynamic analyses are often used for mapping seakeeping loads to 3D FEM structural models. However, 3D panel based hydrodynamic analyses are computationally expensive. For monohull ships, methods based on strip theories have been successfully used in the industry for many years. They are computationally efficient, an
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