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Journal articles on the topic 'Hybrid SBF algorithm'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Xiang, Shang, Gaobiao Xiao, and Junfa Mao. "Analyzing Electromagnetic Systems on Electrically Large Platform Using a GTM-PO Hybrid Method with Synthetic Basis Functions." International Journal of Antennas and Propagation 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/162421.

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A hybrid method of generalized transition matrix (GTM) and physical optics (PO) with synthetic basis functions (SBF) is proposed to analyze electromagnetic systems on electrically large platforms. Based on domain decomposition method (DDM), the proposed approach is to divide the whole problem into a GTM region and a PO region. The GTM algorithm can simulate antennas and scatterers accurately, and the PO algorithm is applied to obtain current distribution on the electrically large platform. With the characteristics extraction technique using SBFs on the GTM models, the number of unknowns can be

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2

Shaik, Asif Hussain, Chinna Babu Jyothi, Hasan Raza, and Mahmood Salman. "A hybrid soft bit flipping decoder algorithm for effective signal transmission and reception." TELKOMNIKA (Telecommunication, Computing, Electronics and Control) 20, no. 3 (2022): 510–18. https://doi.org/10.12928/telkomnika.v20i3.23300.

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The Euclidean geometry (EG) based low-density parity check (LDPC) codes are enciphered and deciphered in various modes. These algorithms have the back-and-forth between decoding delay, and power usage, device unpredictability resources, and error rate efficacy are all available with these methods. As a result, the goal of this paper is to develop a comprehensive method to describe both soft and burst error bits for optimal data transfer. As a result, for EG-LDPC codes, a hybrid soft bit flipping (HSBF) decoder is suggested, which decreases decoding complications while improving message data tr

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3

Akbarzadeh, Mohammad Reza, Hossein Ghafourian, Arsalan Anvari, Ramin Pourhanasa, and Moncef L. Nehdi. "Estimating Compressive Strength of Concrete Using Neural Electromagnetic Field Optimization." Materials 16, no. 11 (2023): 4200. http://dx.doi.org/10.3390/ma16114200.

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Concrete compressive strength (CCS) is among the most important mechanical characteristics of this widely used material. This study develops a novel integrative method for efficient prediction of CCS. The suggested method is an artificial neural network (ANN) favorably tuned by electromagnetic field optimization (EFO). The EFO simulates a physics-based strategy, which in this work is employed to find the best contribution of the concrete parameters (i.e., cement (C), blast furnace slag (SBF), fly ash (FA1), water (W), superplasticizer (SP), coarse aggregate (AC), fine aggregate (FA2), and the

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Kathirvel, Vigneshwer, Mohd Asyraf Mansor, Mohd Shareduwan Mohd Kasihmuddin, and Saratha Sathasivam. "Hybrid Imperialistic Competitive Algorithm Incorporated with Hopfield Neural Network for Robust 3 Satisfiability Logic Programming." IAES International Journal of Artificial Intelligence (IJ-AI) 8, no. 2 (2019): 144. http://dx.doi.org/10.11591/ijai.v8.i2.pp144-155.

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Imperialist Competitive algorithm (ICA) is a robust training algorithm inspired by the socio-politically motivated strategy. This paper focuses on utilizing a hybridized ICA with Hopfield Neural Network on a 3-Satisfiability (3-SAT) logic programming. Eventually the performance of the proposed algorithm will be compared to other 2 algorithms, which are HNN-3SATES (ES) and HNN-3SATGA (GA). The performance shall be evaluated with the Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Sum of Squares Error (SSE), Schwarz Bayesian Criterion (SBC), Global Minima Ratio and Computation Time (CP

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Vigneshwer, Kathirvel, Asyraf Mansor Mohd., Shareduwan Mohd Kasihmuddin Mohd, and Sathasivam Saratha. "Hybrid imperialistic competitive algorithm incorporated with hopfield neural network for robust 3 satisfiability logic programming." International Journal of Artificial Intelligence (IJ-AI) 8, no. 2 (2019): 144–55. https://doi.org/10.11591/ijai.v8.i2.pp144-155.

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Imperialist Competitive algorithm (ICA) is a robust training algorithm inspired by the socio-politically motivated strategy. This paper focuses on utilizing a hybridized ICA with Hopfield Neural Network on a 3- Satisfiability (3-SAT) logic programming. Eventually the performance of the proposed algorithm will be compared to other 2 algorithms, which are HNN3SATES (ES) and HNN-3SATGA (GA). The performance shall be evaluated with the Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Sum of Squares Error (SSE), Schwarz Bayesian Criterion (SBC), Global Minima Ratio and Computation Time (CP

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Fan, Mengting, Tsung-Hsien Wu, and Qizhi Zhao. "Assessing the Loss Given Default of Bank Loans Using the Hybrid Algorithms Multi-Stage Model." Systems 11, no. 10 (2023): 505. http://dx.doi.org/10.3390/systems11100505.

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The loss given default (LGD) is an important credit risk parameter in the regulatory system for financial institutions. Due to the complex structure of the LGD distribution, we propose a new approach, called the hybrid algorithms multi-stage (HMS) model, to construct a multi-stage LGD prediction model and test it on the US Small Business Administration (SBA)’s small business credit dataset. We then compare the model’s performance under four routes by different evaluation metrics. Finally, pertinent business information and macroeconomic features datasets are added for robustness validation. Th

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Rajagopal, Manikandan, Suvarna Buradagunta, Meshari Almeshari, Yasser Alzamil, Rajakumar Ramalingam, and Vinayakumar Ravi. "An Efficient Framework to Detect Intracranial Hemorrhage Using Hybrid Deep Neural Networks." Brain Sciences 13, no. 3 (2023): 400. http://dx.doi.org/10.3390/brainsci13030400.

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Intracranial hemorrhage (ICH) is a serious medical condition that necessitates a prompt and exhaustive medical diagnosis. This paper presents a multi-label ICH classification issue with six different types of hemorrhages, namely epidural (EPD), intraparenchymal (ITP), intraventricular (ITV), subarachnoid (SBC), subdural (SBD), and Some. A patient may experience numerous hemorrhages at the same time in some situations. A CT scan of a patient’s skull is used to detect and classify the type of ICH hemorrhage(s) present. First, our model determines whether there is a hemorrhage or not; if there is

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S, Pradeep. "A Novel HWRR-SJF Scheduling Algorithm for Optimal Performance Improvement in LTE System." International Journal of Engineering Education 1, no. 1 (2019): 1–8. http://dx.doi.org/10.14710/ijee.1.1.1-8.

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In currently, the revolution in a high-speed broadband network is the requirement and also endless demand for high data rate and mobility. To achieve above requirement, the 3rd Generation Partnership Project (3GPP) has been established the Long Time Evolution (LTE). LTE has established an improved LTE radio interface named LTE-Advanced (LTE-A) and it is a promising technology for providing broadband, mobile Internet access. But, better Quality of Service (QoS) to provide for customers is the main issue in LTE-A. To reduce the above issue, the packets should be utilized by using one of the most

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Mansouri, Deloula, Xiaohui Yuan, and Abdeldjalil Saidani. "A New Lossless DNA Compression Algorithm Based on A Single-Block Encoding Scheme." Algorithms 13, no. 4 (2020): 99. http://dx.doi.org/10.3390/a13040099.

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With the emergent evolution in DNA sequencing technology, a massive amount of genomic data is produced every day, mainly DNA sequences, craving for more storage and bandwidth. Unfortunately, managing, analyzing and specifically storing these large amounts of data become a major scientific challenge for bioinformatics. Therefore, to overcome these challenges, compression has become necessary. In this paper, we describe a new reference-free DNA compressor abbreviated as DNAC-SBE. DNAC-SBE is a lossless hybrid compressor that consists of three phases. First, starting from the largest base (Bi), t

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Ponomarchuk, Sergey, and Viktor Grozov. "Automatic interpretation of oblique sounding ionograms based on hybrid algorithms." Solnechno-Zemnaya Fizika 10, no. 2 (2024): 109–18. http://dx.doi.org/10.12737/szf-102202410.

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The paper presents a method of interpreting data on oblique ionosphere sounding (OS) with a continuous chirp signal. Hybrid algorithms for automatic interpretation of ionograms by selected points with significant amplitude obtained during secondary data processing for various heliogeophysical conditions have been developed and implemented. For the conditions of the two-layer ionosphere, an interpretation method has been worked out which involves analyzing histograms for the distribution of points with significant amplitude, which fall into a model mask constructed from the results of modeling

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Belmahdi, Brahim, Mohamed Louzazni, Mousa Marzband, and Abdelmajid El Bouardi. "Global Solar Radiation Forecasting Based on Hybrid Model with Combinations of Meteorological Parameters: Morocco Case Study." Forecasting 5, no. 1 (2023): 172–95. http://dx.doi.org/10.3390/forecast5010009.

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The adequate modeling and estimation of solar radiation plays a vital role in designing solar energy applications. In fact, unnecessary environmental changes result in several problems with the components of solar photovoltaic and affects the energy generation network. Various computational algorithms have been developed over the past decades to improve the efficiency of predicting solar radiation with various input characteristics. This research provides five approaches for forecasting daily global solar radiation (GSR) in two Moroccan cities, Tetouan and Tangier. In this regard, autoregressi

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Solimanpur, Maghsoud, Gholamreza Mansourfar, and Farzad Ghayour. "Optimum portfolio selection using a hybrid genetic algorithm and analytic hierarchy process." Studies in Economics and Finance 32, no. 3 (2015): 379–94. http://dx.doi.org/10.1108/sef-08-2012-0085.

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Purpose – The purpose of this paper is to present a multi-objective model to the optimum portfolio selection using genetic algorithm and analytic hierarchy process (AHP). Portfolio selection is a multi-objective decision-making problem in financial management. Design/methodology/approach – The proposed approach solves the problem in two stages. In the first stage, the portfolio selection problem is formulated as a zero-one mathematical programming model to optimize two objectives, namely, return and risk. A genetic algorithm (GA) with multiple fitness functions called as Multiple Fitness Funct

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13

Fu, Wenlong, Jiawen Tan, Xiaoyuan Zhang, Tie Chen, and Kai Wang. "Blind Parameter Identification of MAR Model and Mutation Hybrid GWO-SCA Optimized SVM for Fault Diagnosis of Rotating Machinery." Complexity 2019 (April 17, 2019): 1–17. http://dx.doi.org/10.1155/2019/3264969.

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As a crucial and widely used component in industrial fields with great complexity, the health condition of rotating machinery is directly related to production efficiency and safety. Consequently, recognizing and diagnosing rotating machine faults remain to be one of the main concerns in preventing failures of mechanical systems, which can enhance the reliability and efficiency of mechanical systems. In this paper, a novel approach based on blind parameter identification of MAR model and mutation hybrid GWO-SCA optimization is proposed to diagnose faults for rotating machinery. Signals collect

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14

Frigioescu, Tiberius-Florian, Daniel-Eugeniu Crunțeanu, Maria Căldărar, Mădălin Dombrovschi, Gabriel-Petre Badea, and Alexandra Nistor. "Development and Implementation of an Autonomous Control System for a Micro-Turbogenerator Installed on an Unmanned Aerial Vehicle." Electronics 14, no. 6 (2025): 1212. https://doi.org/10.3390/electronics14061212.

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The field of unmanned aerial vehicles (UAVs) has experienced substantial growth, with applications expanding across diverse domains. Missions increasingly demand higher autonomy, reducing human intervention and relying more on advanced onboard systems. However, integrating hybrid power sources, especially micro-turboprop engines, into UAVs poses significant challenges due to their complexity, hindering the development of effective power management control systems. This research aims to design a control algorithm for dynamic power allocation based on UAV operational needs. A fuzzy logic-based c

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15

Hankache, W., S. Caux, D. Hissel, and M. Fadel. "Genetic Algorithm Fuzzy Logic Energy Management Strategy for Fuel Cell Hybrid Vehicle." IFAC Proceedings Volumes 42, no. 9 (2009): 137–42. http://dx.doi.org/10.3182/20090705-4-sf-2005.00026.

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16

Delgado-Reyes, Gustavo, Pedro Guevara-Lopez, Igor Loboda, et al. "State Vector Identification of Hybrid Model of a Gas Turbine by Real-Time Kalman Filter." Mathematics 8, no. 5 (2020): 659. http://dx.doi.org/10.3390/math8050659.

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A model and real-time simulation of a gas turbine engine (GTE) by real-time tasks (RTT) is presented. A Kalman filter is applied to perform the state vector identification of the GTE model. The obtained algorithms are recursive and multivariable; for this reason, ANSI C libraries have been developed for (a) use of matrices and vectors, (b) dynamic memory management, (c) simulation of state-space systems, (d) approximation of systems using equations in matrix finite difference, (e) computing the mean square errors vector, and (f) state vector identification of dynamic systems through digital Ka

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17

Jiang, Zhaoxin, Hongyan Xu, Hui Chen, et al. "Indirect Determination Approach of Blast-Induced Ground Vibration Based on a Hybrid SSA-Optimized GP-Based Technique." Advances in Civil Engineering 2021 (March 16, 2021): 1–14. http://dx.doi.org/10.1155/2021/6694918.

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The accurate determination of blast-induced ground vibration has an important significance in protecting human activities and the surrounding environment. For evaluating the peak particle velocity resulting from the quarry blast, a robust artificial intelligence system combined with the salp swarm algorithm (SSA) and Gaussian process (GP) was proposed, and the SSA was used to find the optimal hyperparameters of the GP here. In this regard, 88 datasets with 9 variables including the ratio of bench height to burden (H/B) and the ratio of spacing to burden (S/B) were selected as the input variabl

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18

Kelner, Judith, and Luciano Pereira Soares. "Guest Editorial Foreword to the Special Issue of the XII Symposium on Virtual and Augmented Reality." Journal on Interactive Systems 2, no. 1 (2011): 1. http://dx.doi.org/10.5753/jis.2011.561.

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The special issue of the JIS (SBC Journal on 3D Inter- active Systems) acknowledging the best papers of the XII Symposium on Virtual and Augmented Reality (SVR 2010) was an important opportunity to present excellent papers in the Virtual and Augmented Reality field. The SVR is for more than 12 years the most important event on Virtual and Augmented Reality in Brazil, which is being conduct by academic professionals members of the Brazilian Computer Society (SBC) that is supporting the conference for so many years. Since this is the first special issue of JIS, we had selected papers to be inclu

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19

Liubimov, Oleksandr, Ihor Turkin, Vladimir Pavlikov, and Lina Volobuyeva. "Agile Software Development Lifecycle and Containerization Technology for CubeSat Command and Data Handling Module Implementation." Computation 11, no. 9 (2023): 182. http://dx.doi.org/10.3390/computation11090182.

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As a subclass of nanosatellites, CubeSats have changed the game’s rules in the scientific research industry and the development of new space technologies. The main success factors are their cost effectiveness, relative ease of production, and predictable life cycle. CubeSats are very important for training future engineers: bachelor’s and master’s students of universities. At the same time, using CubeSats is a cost-effective method of nearest space exploration and scientific work. However, many issues are related to efficient time-limited development, software and system-level quality assuranc

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20

TANRIVERDIYEV, Elshan Elyar. "ANALYSIS OF COMPUTER NETWORK STATISTICS FOR IDENTIFYING STABILITY-DISRUPTING INFORMATION FLOWS IN MILITARY LOCAL NETWORKS." National Security Studies 34, no. 4 (2024): 77–89. http://dx.doi.org/10.37055/sbn/193462.

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The increasing complexity and scope of military computer networks necessitate robust methods to ensure network stability and security. This study presents a comprehensive analysis of computer network statistics in military local networks to develop a method for detecting information flows that disrupt stability. By leveraging advanced statistical techniques and machine learning algorithms, this research aims to enhance the cybersecurity posture of military local networks globally. Military networks are vital for communication, data exchange, and operational coordination. However, the dynamic n

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21

Umoru, David, Anthony A. Ekeoba, and Beauty Igbinovia. "Volatility Behaviour of Currency Exchange Rates in Selected Countries: Long Memory Effect." Asian Journal of Economics, Business and Accounting 24, no. 8 (2024): 168–89. http://dx.doi.org/10.9734/ajeba/2024/v24i81449.

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In financial econometrics, models of long memory, such as ARFIMA models, are compared to short memory models, such as ARIMA models. Given that the researchers were empirically desirous of determining the volatility behaviour of exchange rate returns on African currencies in exchange for the United States dollar, we went beyond ARIMA modeling to test for the incidence or otherwise of fractional integration of all the currencies of selected countries in view of data availability. Hence, the order of integration test was carried out. Three different models of ARFIMA (1, d, q) were subjected to se

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22

Padmanaban, K., and A. Shunmugalatha. "The palm tree optimization: Algorithm and applications." Journal of Intelligent & Fuzzy Systems, May 8, 2023, 1–29. http://dx.doi.org/10.3233/jifs-222413.

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A novel metaheuristic algorithm has been presented based on the physical significance of palm tree leaves and petioles, which can themselves water and fertilize with their unique architecture. Palm tree leaves collect almost all the raindrops that fall on the tree, which drags the nutrient-rich dropping of crawlers and birds that inhabit it and funnel them back to the palm tree’s roots. The proposed Palm Tree Optimization (PTO) algorithm is based on two main stages of rainwater before it reaches the trunk. Stage one is that the rainwater drops search for petioles in the local search space of a

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23

Shayeghi, Hossein, Iraj Faraji Davoudkhani, and Nicu Bizon. "Robust self‐adaptive fuzzy controller for load‐frequency control of islanded airport microgrids considering electric aircraft energy storage and demand response." IET Renewable Power Generation, January 10, 2024. http://dx.doi.org/10.1049/rpg2.12926.

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AbstractThe rise of the renewable energy sources (RES) in microgrids has increased the impact of damping and low inertia on network stability. This gives rise to several issues in the power systems, including power fluctuations from variable RES, degradation of the frequency regulation, voltage surges, and oversupply from grid‐connected distributed generators. This paper presents a cascaded hybrid load‐frequency controller for an airport microgrid that addresses frequency fluctuations caused by load changes. It is combining a self‐adaptive fuzzy controller (SAF) and a classical two‐degree‐of‐f

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24

Nadgouda, Pavan A., Divesh Ranjan Kumar, Anil Kumar Sharma, and Warit Wipulanusat. "Optimizing compressive strength prediction of sustainable concrete using ternary‐blended agro‐waste ash, sugarcane bagasse ash, and rice husk ash with soft computing techniques." Structural Concrete, March 10, 2025. https://doi.org/10.1002/suco.202401562.

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AbstractThis study examines the properties of sustainable concrete produced by partially substituting ordinary Portland cement (OPC) with agricultural waste, including sugarcane bagasse ash (SBA) and rice husk ash (RHA). This research investigated the effects of these substitutions both individually and in combination while completely replacing river sand with artificial sand. A total of 18 M‐30 grade concrete mix proportions were prepared and tested to evaluate their compressive strength, utilizing 164 experimental datasets. To predict the compressive strength of sustainable concrete, advance

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Dong, Lingbo, Pete Bettinger, Zhaogang Liu, Huiyan Qin, and Yinghui Zhao. "Evaluating the neighborhood, hybrid and reversion search techniques of a simulated annealing algorithm in solving forest spatial harvest scheduling problems." Silva Fennica 50, no. 4 (2016). http://dx.doi.org/10.14214/sf.1622.

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Ahmad, Sayyar, Aleix Beneyto, Taiyu Zhu, Ivan Contreras, Pantelis Georgiou, and Josep Vehi. "An automatic deep reinforcement learning bolus calculator for automated insulin delivery systems." Scientific Reports 14, no. 1 (2024). http://dx.doi.org/10.1038/s41598-024-62912-4.

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AbstractIn hybrid automatic insulin delivery (HAID) systems, meal disturbance is compensated by feedforward control, which requires the announcement of the meal by the patient with type 1 diabetes (DM1) to achieve the desired glycemic control performance. The calculation of insulin bolus in the HAID system is based on the amount of carbohydrates (CHO) in the meal and patient-specific parameters, i.e. carbohydrate-to-insulin ratio (CR) and insulin sensitivity-related correction factor (CF). The estimation of CHO in a meal is prone to errors and is burdensome for patients. This study proposes a

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Zhang, Songyang, Tian Liang, and Venkata Dinavahi. "Hybrid ML-EMT Based Digital Twin for Device-Level HIL Real-Time Emulation of Ship-Board Microgrid on FPGA." June 6, 2023. https://doi.org/10.5281/zenodo.8008262.

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Maritime industries desire high speed and reliability, low lifespan cost, and environmental impact shipping for transportation. Compared to highly congested land shipments and high-cost air freight, all-electric ship (AES) can reduce the lifespan energy consumption and transport a considerable freight volume at a lower rate. Recently, the medium voltage DC (MVDC) topology, recommended by IEEE standard, pushes the AES to the next stage in considering space and weight constraints with the reduction of bulky transformers and simplified parallel connections. However, device-level modeling of this

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