Log in

Relevant bibliographies by topics / Hybrid Computational Model / Journal articles

To see the other types of publications on this topic, follow the link: Hybrid Computational Model.

Journal articles on the topic 'Hybrid Computational Model'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Hybrid Computational Model.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Chaulwar, Amit. "Sampling Algorithms Combination with Machine Learning for Efficient Safe Trajectory Planning." International Journal of Machine Learning and Computing 11, no. 1 (2021): 1–11. http://dx.doi.org/10.18178/ijmlc.2021.11.1.1007.

Full text

Abstract:

The planning of safe trajectories in critical traffic scenarios using model-based algorithms is a very computationally intensive task. Recently proposed algorithms, namely Hybrid Augmented CL-RRT, Hybrid Augmented CL-RRT+ and GATE-ARRT+, reduce the computation time for safe trajectory planning drastically using a combination of a deep learning algorithm 3D-ConvNet with a vehicle dynamic model. An efficient embedded implementation of these algorithms is required as the vehicle on-board micro-controller resources are limited. This work proposes methodologies for replacing the computationally int

APA, Harvard, Vancouver, ISO, and other styles

2

Wang, Anran, Maruchi Kim, Hao Zhang, and Shyamnath Gollakota. "Hybrid Neural Networks for On-Device Directional Hearing." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 10 (2022): 11421–30. http://dx.doi.org/10.1609/aaai.v36i10.21394.

Full text

Abstract:

On-device directional hearing requires audio source separation from a given direction while achieving stringent human-imperceptible latency requirements. While neural nets can achieve significantly better performance than traditional beamformers, all existing models fall short of supporting low-latency causal inference on computationally-constrained wearables. We present DeepBeam, a hybrid model that combines traditional beamformers with a custom lightweight neural net. The former reduces the computational burden of the latter and also improves its generalizability, while the latter is designe

APA, Harvard, Vancouver, ISO, and other styles

3

Reich, Michael, and Udo Röhr. "A Hybrid Computational Model for Ship Grounding." Ship Technology Research 52, no. 3 (2005): 115–23. http://dx.doi.org/10.1179/str.2005.52.3.004.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Haidzir, H., Dayang Laila Majid, A. S. M. Rafie, and M. Y. Harmin. "Modal Properties of Hybrid Carbon/Kevlar Composite Thin Plate and Hollow Wing Model." Applied Mechanics and Materials 446-447 (November 2013): 597–601. http://dx.doi.org/10.4028/www.scientific.net/amm.446-447.597.

Full text

Abstract:

In any flutter prediction analysis, modal testing is necessary because flutter, a resonant like vibration occurs at a flutter frequency and adopts a mode shape akin to its structural natural modes. Modal testing can be performed computationally with knowledge of the mechanical properties of the structure. In the present work, computational modal analysis is first performed on a cantilevered hybrid composite thin plate and validated experimentally. Then, the computational procedure is demonstrated on a composite hollow wing model of same material. The concept of hollow wing is explored due to t

APA, Harvard, Vancouver, ISO, and other styles

5

Wang, Xin, Zhi Yu, Le Yang, and Ji Li. "Design and Analysis of a Non-Iterative Estimator for Target Location in Multistatic Sonar Systems with Sensor Position Uncertainties." Mathematics 8, no. 1 (2020): 129. http://dx.doi.org/10.3390/math8010129.

Full text

Abstract:

Target location is the basic application of a multistatic sonar system. Determining the position/velocity vector of a target from the related sonar observations is a nonlinear estimation problem. The presence of possible sensor position uncertainties turns this problem into a more challenging hybrid parameter estimation problem. Conventional gradient-based iterative estimators suffer from the problems of initialization difficulties and local convergence. Even if there is no problem with initialization and convergence, a large computational cost is required in most cases. In view of these drawb

APA, Harvard, Vancouver, ISO, and other styles

6

Kim, Yukyong. "Hybrid Trust Computational Model for M2M Application Services." Journal of Software Assessment and Valuation 16, no. 2 (2020): 53–62. http://dx.doi.org/10.29056/jsav.2020.12.06.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Escribano, Jorge, Raimon Sunyer, María Teresa Sánchez, Xavier Trepat, Pere Roca-Cusachs, and José Manuel García-Aznar. "A hybrid computational model for collective cell durotaxis." Biomechanics and Modeling in Mechanobiology 17, no. 4 (2018): 1037–52. http://dx.doi.org/10.1007/s10237-018-1010-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Zong, Jing, Xin Xiong, Jianhua Zhou, Ying Ji, Diao Zhou, and Qi Zhang. "FCAN–XGBoost: A Novel Hybrid Model for EEG Emotion Recognition." Sensors 23, no. 12 (2023): 5680. http://dx.doi.org/10.3390/s23125680.

Full text

Abstract:

In recent years, artificial intelligence (AI) technology has promoted the development of electroencephalogram (EEG) emotion recognition. However, existing methods often overlook the computational cost of EEG emotion recognition, and there is still room for improvement in the accuracy of EEG emotion recognition. In this study, we propose a novel EEG emotion recognition algorithm called FCAN–XGBoost, which is a fusion of two algorithms, FCAN and XGBoost. The FCAN module is a feature attention network (FANet) that we have proposed for the first time, which processes the differential entropy (DE)

APA, Harvard, Vancouver, ISO, and other styles

9

Kumala, Farida Nur, Arnelia Dwi Yasa, and Moh Salimi Sueb. "STEAMER Hybrid Learning Project for Creative and Computational Thinking: Perspectives from Elementary School Teacher Candidates." International Journal of Educational Methodology me-10-2024, me-10-issue-3-august-2024 (2024): 413–29. http://dx.doi.org/10.12973/ijem.10.3.413.

Full text

Abstract:

<p style="text-align:justify">The computing and creative skills of students in Indonesia are still low since the government has not focused on student creativity and computational empowerment programs. This research aims to develop a science, technology, engineering, art, mathematics, and reflection (STEAMER) hybrid learning project model for teachers' creative and computational thinking abilities, as well as analyze elementary school teacher candidates' perceptions of the use of STEAMER hybrid learning model to improve teachers' creative and computational thinking abilities. This resear

APA, Harvard, Vancouver, ISO, and other styles

10

Imanpour, Ali, Robert Tremblay, Martin Leclerc, and Romain Siguier. "Development of a Hybrid Simulation Computational Model for Steel Braced Frames." Key Engineering Materials 763 (February 2018): 609–18. http://dx.doi.org/10.4028/www.scientific.net/kem.763.609.

Full text

Abstract:

Hybrid simulation is an economical structural testing technique in which the critical part of the structure expected to respond in the inelastic range is tested physically whereas the rest of the structure is modelled numerically using a finite element analysis program. The article describes the development of a computational model for the hybrid simulation of the seismic collapse of a steel two-tiered braced frame structure due to column buckling. The column stability response in multi-tiered braced frames is first presented using a pure numerical model of the braced frame studied. The develo

APA, Harvard, Vancouver, ISO, and other styles

11

Xu, Xiaoya, Weijie Zhu, Xiufeng Fu, et al. "Hybrid Trust Model for Node-Centric Misbehavior Detection in Dynamic Behavior-Homogeneous Clusters." Applied Sciences 15, no. 4 (2025): 2020. https://doi.org/10.3390/app15042020.

Full text

Abstract:

In vehicular ad hoc networks (VANETs), the presence of untrustworthy nodes poses a significant threat, impacting the network’s reliability. This has led to the emergence of node-centric misbehavior detection as a crucial aspect of VANET security, focusing on the behavior of vehicles rather than the content of their interactions. While the trust model is a popular approach, the computational complexity of trust computations and management in VANETs is attributed to the intricate relationships among vehicles and the dynamic autonomous movement of nodes. To tackle these challenges, we developed a

APA, Harvard, Vancouver, ISO, and other styles

12

Shin, Sang Mun, Asad Rasheed, Park Kil-Heum, and Kalyana C. Veluvolu. "Fast and Accurate Short-Term Load Forecasting with a Hybrid Model." Electronics 13, no. 6 (2024): 1079. http://dx.doi.org/10.3390/electronics13061079.

Full text

Abstract:

Short-term electric load forecasting (STLF) plays a pivotal role in modern power system management, bolstering forecasting accuracy and efficiency. This enhancement assists power utilities in formulating robust operational strategies, consequently fostering economic and social advantages within the systems. Existing methods employed for STLF either exhibit poor forecasting performance or require longer computational time. To address these challenges, this paper introduces a hybrid learning approach comprising variational mode decomposition (VMD) and random vector functional link network (RVFL)

APA, Harvard, Vancouver, ISO, and other styles

13

Pérez-Díaz, Beatriz, Laura Cagigal, Manuel Zornoza, Alba Ricondo, Sonia Castanedo, and Fernando Méndez. "HYBEAT: A HYBRID MODEL FOR SURF-ZONE HYDRODYNAMICS." Coastal Engineering Proceedings, no. 38 (May 29, 2025): 26. https://doi.org/10.9753/icce.v38.currents.26.

Full text

Abstract:

Climate change-induced sea level rise and increasing storm severity are important stressors that threaten the livability of coastal areas worldwide. In this context, it is crucial to be able to effectively predict coastal flooding and to provide the necessary tools to assist adaptation strategies to coastal communities and policymakers. These predictive tools should be able to forecast the local waves and water levels as well as their nearshore transformation to the shoreline. Commonly, phase- resolving numerical wave models have been employed for simulating complex nearshore hydrodynamics. Al

APA, Harvard, Vancouver, ISO, and other styles

14

Srivastava, Swati, and Bipin Tripathi. "On the Deep Hybrid Computational Model for Face Recognition." International Journal of Intelligent Engineering and Systems 11, no. 1 (2018): 121–30. http://dx.doi.org/10.22266/ijies2018.0228.13.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Zhai, Jia, Yi Cao, Yuan Yao, Xuemei Ding, and Yuhua Li. "Computational intelligent hybrid model for detecting disruptive trading activity." Decision Support Systems 93 (January 2017): 26–41. http://dx.doi.org/10.1016/j.dss.2016.09.003.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Cao, Minh-Tu, Min-Yuan Cheng, and Yu-Wei Wu. "Hybrid Computational Model for Forecasting Taiwan Construction Cost Index." Journal of Construction Engineering and Management 141, no. 4 (2015): 04014089. http://dx.doi.org/10.1061/(asce)co.1943-7862.0000948.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Nazali, Nur Nabila Mohd, Tuan Afif Fatihah Tuan Azza Afif, Muhammad Zurhairie Senan, Nor Fazli Adull Manan, and Abdul Halim Abdullah. "Computational Data of Gelatin for Hybrid Biomaterials." International Journal of Emerging Technology and Advanced Engineering 12, no. 6 (2022): 8–13. http://dx.doi.org/10.46338/ijetae0622_02.

Full text

Abstract:

Gelatine is a soluble protein derived from animal skin, white connective tissue, or bones via collagen hydrolysis. This project began with CATIA modelling adaptation and progressed through ANSYS Workbench computational analysis processes. The two hyperelastic models (Mooney-Rivlin and Yeoh) were contrasted computationally with assess the distinction in chart execution and other mechanical properties that ought to be corresponding to the exploratory information. The material went through three stages: pre-processing, static structural, and post-processing. Through this computational analysis, t

APA, Harvard, Vancouver, ISO, and other styles

18

Wang, Chen, Ximing Sun, and Xian Du. "The Aero-Engine Component-Level Modelling Research Based on NSDE Hybrid Damping Newton Method." International Journal of Aerospace Engineering 2022 (September 10, 2022): 1–13. http://dx.doi.org/10.1155/2022/8212150.

Full text

Abstract:

Advanced aero-engine component-level models are characterized by strong nonlinearity and multivariate, and traditional iterative algorithms cannot meet the requirements of convergence, real-time, and accuracy at the same time. To improve the convergence and alleviate the initial value dependence, a hybrid damped Newton algorithm based on the neighborhood based speciation differential evolution (NSDE) is proposed in this paper for solving the aero-engine component-level model. The computational efficiency and convergence of the hybrid damped Newton algorithm and NSDE hybrid damped Newton algori

APA, Harvard, Vancouver, ISO, and other styles

19

Yuan, Enpeng, Wenbo Chen, and Pascal Van Hentenryck. "Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation." Journal of Artificial Intelligence Research 75 (November 28, 2022): 985–1002. http://dx.doi.org/10.1613/jair.1.13794.

Full text

Abstract:

Idle vehicle relocation is crucial for addressing demand-supply imbalance that frequently arises in the ride-hailing system. Current mainstream methodologies - optimization and reinforcement learning - suffer from obvious computational drawbacks. Optimization models need to be solved in real-time and often trade off model fidelity (hence quality of solutions) for computational efficiency. Reinforcement learning is expensive to train and often struggles to achieve coordination among a large fleet. This paper designs a hybrid approach that leverages the strengths of the two while overcoming thei

APA, Harvard, Vancouver, ISO, and other styles

20

Rawat, Waseem, and Zenghui Wang. "Hybrid Stochastic GA-Bayesian Search for Deep Convolutional Neural Network Model Selection." JUCS - Journal of Universal Computer Science 25, no. (6) (2019): 647–66. https://doi.org/10.3217/jucs-025-06-0647.

Full text

Abstract:

In recent years, deep convolutional neural networks (DCNNs) have delivered notable successes in visual tasks, and in particular, image classification related applications. However, they are sensitive to the selection of their architectural and learning hyperparameters, which impose an exponentially large search space on modern DCNN models. Traditional hyperparameter selection methods include manual model tuning, grid, or random search but these require expert domain knowledge or are computationally burdensome. On the other hand, Bayesian optimization and evolutionary inspired techniques have s

APA, Harvard, Vancouver, ISO, and other styles

21

White, Aaron Steven, and Kyle Rawlins. "A computational model of S-selection." Semantics and Linguistic Theory 26 (October 15, 2016): 641. http://dx.doi.org/10.3765/salt.v26i0.3819.

Full text

Abstract:

We develop a probabilistic model of S(emantic)-selection that encodes both the notion of systematic mappings from semantic type signature to syntactic distribution—i.e., projection rules—and the notion of selectional noise—e.g., C(ategory)-selection, L(exical)-selection, and/or other independent syntactic processes. We train this model on data from a large-scale judgment study assessing the acceptability of 1,000 English clause-taking verbs in 50 distinct syntactic frames, finding that this model infers coherent semantic type signatures. We focus in on type signatures relevant to interrogative

APA, Harvard, Vancouver, ISO, and other styles

22

Rossano, Viola, and Giuliano De Stefano. "Hybrid VOF–Lagrangian CFD Modeling of Droplet Aerobreakup." Applied Sciences 12, no. 16 (2022): 8302. http://dx.doi.org/10.3390/app12168302.

Full text

Abstract:

A hybrid VOF–Lagrangian method for simulating the aerodynamic breakup of liquid droplets induced by a traveling shock wave is proposed and tested. The droplet deformation and fragmentation, together with the subsequent mist development, are predicted by using a fully three-dimensional computational fluid dynamics model following the unsteady Reynolds-averaged Navier–Stokes approach. The main characteristics of the aerobreakup process under the shear-induced entrainment regime are effectively reproduced by employing the scale-adaptive simulation method for unsteady turbulent flows. The hybrid t

APA, Harvard, Vancouver, ISO, and other styles

23

Ahn, Jung Min, Hongtae Kim, Jae Gab Cho, Taegu Kang, Yong-seok Kim, and Jungwook Kim. "Parallelization of a 3-Dimensional Hydrodynamics Model Using a Hybrid Method with MPI and OpenMP." Processes 9, no. 9 (2021): 1548. http://dx.doi.org/10.3390/pr9091548.

Full text

Abstract:

Process-based numerical models developed to perform hydraulic/hydrologic/water quality analysis of watersheds and rivers have become highly sophisticated, with a corresponding increase in their computation time. However, for incidents such as water pollution, rapid analysis and decision-making are critical. This paper proposes an optimized parallelization scheme to reduce the computation time of the Environmental Fluid Dynamics Code-National Institute of Environmental Research (EFDC-NIER) model, which has been continuously developed for water pollution or algal bloom prediction in rivers. An e

APA, Harvard, Vancouver, ISO, and other styles

24

Jeong, Darae, Sangkwon Kim, Chaeyoung Lee, and Junseok Kim. "An Accurate and Practical Explicit Hybrid Method for the Chan–Vese Image Segmentation Model." Mathematics 8, no. 7 (2020): 1173. http://dx.doi.org/10.3390/math8071173.

Full text

Abstract:

In this paper, we propose a computationally fast and accurate explicit hybrid method for image segmentation. By using a gradient flow, the governing equation is derived from a phase-field model to minimize the Chan–Vese functional for image segmentation. The resulting governing equation is the Allen–Cahn equation with a nonlinear fidelity term. We numerically solve the equation by employing an operator splitting method. We use two closed-form solutions and one explicit Euler’s method, which has a mild time step constraint. However, the proposed scheme has the merits of simplicity and versatili

APA, Harvard, Vancouver, ISO, and other styles

25

Lu, Ruoyu. "A hybrid parallelization approach based on workers grouping algorithm." Applied and Computational Engineering 6, no. 1 (2023): 445–52. http://dx.doi.org/10.54254/2755-2721/6/20230835.

Full text

Abstract:

As the volume of model data increases, traditional machine learning is not able to train models efficiently, so distributed machine learning is gradually used in large-scale data training. Currently, commonly used distributed machine learning algorithms are based on data parallelism, and often use an overall synchronous parallel strategy when passing data, but using this strategy makes the overall training speed limited by the computation speed of the slower workers in the cluster. While the asynchronous parallel strategy maximizes the computational speed of the cluster, there is a delay in up

APA, Harvard, Vancouver, ISO, and other styles

26

Ma, Liyan, Tieyong Zeng, and Gongyan Li. "Hybrid Variational Model for Texture Image Restoration." East Asian Journal on Applied Mathematics 7, no. 3 (2017): 629–42. http://dx.doi.org/10.4208/eajam.090217.300617a.

Full text

Abstract:

AbstractThe hybrid variational model for restoration of texture images corrupted by blur and Gaussian noise we consider combines total variation regularisation and a fractional-order regularisation, and is solved by an alternating minimisation direction algorithm. Numerical experiments demonstrate the advantage of this model over the adaptive fractional-order variational model in image quality and computational time.

APA, Harvard, Vancouver, ISO, and other styles

27

Rahman, Sk, Adil Rasheed, and Omer San. "A Hybrid Analytics Paradigm Combining Physics-Based Modeling and Data-Driven Modeling to Accelerate Incompressible Flow Solvers." Fluids 3, no. 3 (2018): 50. http://dx.doi.org/10.3390/fluids3030050.

Full text

Abstract:

Numerical solution of the incompressible Navier–Stokes equations poses a significant computational challenge due to the solenoidal velocity field constraint. In most computational modeling frameworks, this divergence-free constraint requires the solution of a Poisson equation at every step of the underlying time integration algorithm, which constitutes the major component of the computational expense. In this study, we propose a hybrid analytics procedure combining a data-driven approach with a physics-based simulation technique to accelerate the computation of incompressible flows. In our app

APA, Harvard, Vancouver, ISO, and other styles

28

LOUKIL, LAKHDAR, MALIKA MEHDI, NOUREDINE MELAB, EL-GHAZALI TALBI, and PASCAL BOUVRY. "PARALLEL HYBRID GENETIC ALGORITHMS FOR SOLVING Q3AP ON COMPUTATIONAL GRID." International Journal of Foundations of Computer Science 23, no. 02 (2012): 483–500. http://dx.doi.org/10.1142/s0129054112400242.

Full text

Abstract:

This paper deals with the resolution of the Quadratic 3-dimensional Assignment Problem hereafter referred to as Q3AP. Q3AP is an extension of the well-known Quadratic Assignment Problem (QAP) and of the Axial 3-Assignment Problem (A3AP). It finds its application amongst others in Hybrid Automatic Repeat reQuest (HARQ) error-control mechanism used in wireless communication systems. This problem is computationally NP-hard. As far as we know, the largest Q3AP instance size solved to optimality is 13 whereas practical Q3AP instance size can be of 8, 16, 32 or 64. Sequential exact methods such bran

APA, Harvard, Vancouver, ISO, and other styles

29

Et.al, Ji-Sun Kang. "Computational Efficiency Examination of a Regional Numerical Weather Prediction Model using KISTI Supercomputer NURION." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (2021): 743–49. http://dx.doi.org/10.17762/turcomat.v12i6.2088.

Full text

Abstract:

For well-resolving extreme weather events, running numerical weather prediction model with high resolution in time and space is essential. We explore how efficiently such modeling could be, using NURION. We have examined one of community numerical weather prediction models, WRF, and KISTI’s 5th supercomputer NURION of national HPC. Scalability of the model has been tested at first, and we have compared the computational efficiency of hybrid openMP + MPI runs with pure MPI runs. In addition to those parallel computing experiments, we have tested a new storage layer called burst buffer to see wh

APA, Harvard, Vancouver, ISO, and other styles

30

Mucha. "Application of Artificial Neural Networks in Hybrid Simulation." Applied Sciences 9, no. 21 (2019): 4495. http://dx.doi.org/10.3390/app9214495.

Full text

Abstract:

Hybrid simulation is a technique for testing mechanical systems. It applies to structures with elements hard or impossible to model numerically. These elements are tested experimentally by straining them by means of actuators, while the rest of the system is simulated numerically using a finite element method (FEM). Data is interchanged between experiment and simulation. The simulation is performed in real-time in order to accurately recreate the dynamic behavior in the experiment. FEM is very computationally demanding, and for systems with a great number of degrees of freedom (DOFs), real-tim

APA, Harvard, Vancouver, ISO, and other styles

31

Chatterjee, Kasturi, and Shu-Ching Chen. "Hybrid Query Refinement." International Journal of Multimedia Data Engineering and Management 2, no. 3 (2011): 52–71. http://dx.doi.org/10.4018/jmdem.2011070104.

Full text

Abstract:

This paper proposes a hybrid query refinement model for distance-based index structures supporting content-based image retrievals. The framework refines a query by considering both the low-level feature space as well as the high-level semantic interpretations separately. Thus, it successfully handles queries where the gap between the feature components and the semantics is large. It refines the low-level feature space, indexed by the distance based index structure, in multiple iterations by introducing the concept of multipoint query in a metric space. It refines the high-level semantic space

APA, Harvard, Vancouver, ISO, and other styles

32

Coelho, João Paulo, and José Boaventura-Cunha. "Long Term Solar Radiation Forecast Using Computational Intelligence Methods." Applied Computational Intelligence and Soft Computing 2014 (2014): 1–14. http://dx.doi.org/10.1155/2014/729316.

Full text

Abstract:

The point prediction quality is closely related to the model that explains the dynamic of the observed process. Sometimes the model can be obtained by simple algebraic equations but, in the majority of the physical systems, the relevant reality is too hard to model with simple ordinary differential or difference equations. This is the case of systems with nonlinear or nonstationary behaviour which require more complex models. The discrete time-series problem, obtained by sampling the solar radiation, can be framed in this type of situation. By observing the collected data it is possible to dis

APA, Harvard, Vancouver, ISO, and other styles

33

Tien Bui, Dieu, Ataollah Shirzadi, Kamran Chapi, et al. "A Hybrid Computational Intelligence Approach to Groundwater Spring Potential Mapping." Water 11, no. 10 (2019): 2013. http://dx.doi.org/10.3390/w11102013.

Full text

Abstract:

This study proposes a hybrid computational intelligence model that is a combination of alternating decision tree (ADTree) classifier and AdaBoost (AB) ensemble, namely “AB–ADTree”, for groundwater spring potential mapping (GSPM) at the Chilgazi watershed in the Kurdistan province, Iran. Although ADTree and its ensembles have been widely used for environmental and ecological modeling, they have rarely been applied to GSPM. To that end, a groundwater spring inventory map and thirteen conditioning factors tested by the chi-square attribute evaluation (CSAE) technique were used to generate trainin

APA, Harvard, Vancouver, ISO, and other styles

34

Sun, Tongzhe. "Research on Multi-Objective Optimization Problems Combining Random Forest Method and Genetic Algorithm." Applied and Computational Engineering 118, no. 1 (2025): 127–33. https://doi.org/10.54254/2755-2721/2025.21092.

Full text

Abstract:

As the complexity of modern engineering and scientific problems continues to increase, Multi-Objective Optimization Problems (MOPs) have been widely applied across various fields. However, traditional optimization algorithms often face challenges such as high computational complexity and slow solving speed when addressing multi-objective problems, especially in high-dimensional and computationally expensive scenarios. To address these issues, this paper proposes a hybrid optimization method that combines Non-dominated Sorting Genetic Algorithm II (NSGA-II) with Random Forest (RF), aimed at imp

APA, Harvard, Vancouver, ISO, and other styles

35

Odejobi, Olusegun A., Kehinde Olukunmi Alawode, and Muyideen Olalekan Lawal. "EFFICIENT METHOD FOR FORECASTING SOLAR IRRADIANCE - A REVIEW." FUDMA JOURNAL OF SCIENCES 8, no. 6 (2024): 285–98. https://doi.org/10.33003/fjs-2024-0806-2786.

Full text

Abstract:

Efficient solar irradiance forecasting is essential for optimizing solar energy systems and integrating renewable energy sources into power grids. This review aims to evaluate the effectiveness of various forecasting methods to inform energy management and grid integration strategies. It compares physical models, statistical approaches, machine learning techniques, and hybrid models, using specific criteria such as accuracy, computational efficiency, and data requirements. Physical models like Numerical Weather Prediction (NWP) provide detailed atmospheric simulations but are computationally i

APA, Harvard, Vancouver, ISO, and other styles

36

Pasupuleti, Murali Krishna. "Hybrid Intelligence: Leveraging Superalgebraic Quantum States for Neural Network Acceleration." International Journal of Academic and Industrial Research Innovations(IJAIRI) 05, no. 04 (2025): 36–47. https://doi.org/10.62311/nesx/rp0325.

Full text

Abstract:

Abstract: As artificial intelligence (AI) systems grow in complexity, the demand for efficient and scalable computational architectures has become increasingly urgent. This research introduces a hybrid intelligence paradigm that harnesses quantum superalgebraic states as a new computational substrate for accelerating neural network inference and training. By encoding activation patterns and weight transformations into superalgebraic quantum states, we establish a model that combines symbolic expressiveness with quantum parallelism. This framework explores the interaction between quantum algebr

APA, Harvard, Vancouver, ISO, and other styles

37

Shehab, Abdulhabib Alzaeemi, Sathasivam Saratha, and Velavan Muraly. "Hybrid Genetic Algorithm Model in Neuro Symbolic Integration." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 4 (2020): 2144–49. https://doi.org/10.35940/ijeat.D8761.049420.

Full text

Abstract:

The development of artificial neural network and logic programming plays an important part in neural network studies. Genetic Algorithm (GA) is one of the escorted randomly searching technicality that uses evolutional concepts of the natural election as a stimulus to solve the computational problems. The essential purposes behind the studies of the evolutional system is for developing adaptive search techniques which are robust. In this paper, GA is merged with agent based modeling (ABM) by using specified proceedings to optimise the states of neurons and energy function in the Hopfield neural

APA, Harvard, Vancouver, ISO, and other styles

38

Selvakumar, S., and A. R. Vasudevan. "Evolution of a Hybrid Model for an Effective Perimeter Security Device." Defence Science Journal 65, no. 6 (2015): 466. http://dx.doi.org/10.14429/dsj.65.8573.

Full text

Abstract:

Clustering and classification models, or hybrid models are the most widely used models that can handle the diverse nature of NIDS dataset. Dirichlet process clustering technique is a non-parametric Bayesian mixture model that considers the data distribution of the dataset for the formation of distinct clusters. The number of clusters is not known a priori and it differs across different datasets. Determining the number of clusters based on the distribution of data instances can increase the performance of the model. Naive Bayes model, a supervised learning classification technique, maintains a

APA, Harvard, Vancouver, ISO, and other styles

39

Zhao, Wei Tao, Cheng Kui Niu, and Lei Jia. "Reliability-Based Structural Optimization Using Hybrid High Dimensional Model Representation." Applied Mechanics and Materials 353-356 (August 2013): 3155–58. http://dx.doi.org/10.4028/www.scientific.net/amm.353-356.3155.

Full text

Abstract:

A design method of reliability-based structural optimization has a powerful advantage because some random variables can be considered. However, the sensitivity analysis of reliability with respect to random variables is very complicated and its computational cost is very expensive. Thus, in this paper, based on hybrid high dimensional model representation (HDMR) and first order second moment (FOSM) method, a new method for the reliability-based structural optimization is proposed. A numerical example is presented to demonstrate the computational efficiency of the proposed method. It is shown t

APA, Harvard, Vancouver, ISO, and other styles

40

Arabameri, Alireza, Wei Chen, Luigi Lombardo, Thomas Blaschke, and Dieu Tien Bui. "Hybrid Computational Intelligence Models for Improvement Gully Erosion Assessment." Remote Sensing 12, no. 1 (2020): 140. http://dx.doi.org/10.3390/rs12010140.

Full text

Abstract:

Gullying is a type of soil erosion that currently represents a major threat at the societal scale and will likely increase in the future. In Iran, soil erosion, and specifically gullying, is already causing significant distress to local economies by affecting agricultural productivity and infrastructure. Recognizing this threat has recently led the Iranian geomorphology community to focus on the problem across the whole country. This study is in line with other efforts where the optimal method to map gully-prone areas is sought by testing state-of-the-art machine learning tools. In this study,

APA, Harvard, Vancouver, ISO, and other styles

41

Zelechowski, Marek, Giacomo Valle, and Stanisa Raspopovic. "A computational model to design neural interfaces for lower-limb sensory neuroprostheses." Journal of NeuroEngineering and Rehabilitation 17, no. 1 (2020): 24. https://doi.org/10.1186/s12984-020-00657-7.

Full text

Abstract:

<strong>Background: </strong>Leg amputees suffer the lack of sensory feedback from a prosthesis, which is connected to their low confidence during walking, falls and low mobility. Electrical peripheral nerve stimulation (ePNS) of upper-limb amputee's residual nerves has shown the ability to restore the sensations from the missing limb via intraneural (TIME) and epineural (FINE) neural interfaces. Physiologically plausible stimulation protocols targeting lower limb sciatic nerve hold promise to induce sensory feedback restoration that should facilitate close-to-natural sensorimotor integration

APA, Harvard, Vancouver, ISO, and other styles

42

Bei, Jin-Ling, Ming-Xin Zhang, Ji-Quan Wang, Hao-Hao Song, and Hong-Yu Zhang. "Improved Hybrid Firefly Algorithm with Probability Attraction Model." Mathematics 11, no. 2 (2023): 389. http://dx.doi.org/10.3390/math11020389.

Full text

Abstract:

An improved hybrid firefly algorithm with probability attraction model (IHFAPA) is proposed to solve the problems of low computational efficiency and low computational accuracy in solving complex optimization problems. First, the method of square-root sequence was used to generate the initial population, so that the initial population had better population diversity. Second, an adaptive probabilistic attraction model is proposed to attract fireflies according to the brightness level of fireflies, which can minimize the brightness comparison times of the algorithm and moderate the attraction ti

APA, Harvard, Vancouver, ISO, and other styles

43

Kamune, Kalyani Pradiprao, and Avinash Agrawal. "Hybrid Model of Automated Anaphora Resolution." IAES International Journal of Artificial Intelligence (IJ-AI) 3, no. 3 (2014): 105. http://dx.doi.org/10.11591/ijai.v3.i3.pp105-111.

Full text

Abstract:

Anaphora resolution has proven to be a very difficult problem of natural language processing, and it is useful in discourse analysis, language understanding and processing, information exaction, machine translation and many more. This paper represents a system that instead of using a monolithic architecture for resolving anaphora, use the hybrid model which combines the constraint-based and preferences-based architectures, each uses a different source of knowledge, and proves effective on theoretical and computational basis. An algorithm identifies both inter-sentential and intra-sentential an

APA, Harvard, Vancouver, ISO, and other styles

44

Wurzinger, Andreas, Manfred Kaltenbacher, and Stefan Schoder. "Computationally efficient source grid selection and source interpolation in computational aeroacoustics applied to an axial fan." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 6 (2021): 845–53. http://dx.doi.org/10.3397/in-2021-1666.

Full text

Abstract:

The noise generation of an axial fan is mainly caused by flow-induced noise and can therefore be extracted from its aeroacoustics. To do so, a hybrid approach separating flow and acoustics is well suited due to its low Mach number. Such a computationally efficient hybrid workflow requires a robust conservative mesh-to-mesh transformation of the acoustic sources as well as a suitable mesh refinement to guarantee good convergence behavior. This contribution focuses on the mesh-to-mesh transformation, comparing two interpolation algorithms of different complexity towards the applicability to the

APA, Harvard, Vancouver, ISO, and other styles

45

Wei, Cao, Zheng Hua Wang, and Chuan Fu Xu. "A GPU/CPU Programming Model for CFD Simulation." Advanced Materials Research 712-715 (June 2013): 2538–41. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.2538.

Full text

Abstract:

In recent years, the highly parallel graphics processing unit (GPU) is rapidly gaining maturity as a powerful engine for high performance computer. More and more researchers try to port the computational fluid dynamics (CFD) simulations into heterogeneous computers. However, most researchers focus on exploring the computational capability of GPU, while ignore the computational capability of CPU. In order to utilize the computational capability of CPU and GPU, we propose a hybrid CUDA/OpenMP parallel programming model. And we proposed an adaptive load balancing scheme to distribute the workload

APA, Harvard, Vancouver, ISO, and other styles

46

Zha, Xuan F. "A hybrid cross-mapping neural network model for computational intelligent design." International Journal of Knowledge-based and Intelligent Engineering Systems 8, no. 1 (2004): 17–26. http://dx.doi.org/10.3233/kes-2004-8103.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Sheikh, Sophiya, A. Nagaraju, and Mohammad Shahid. "A fault-tolerant hybrid resource allocation model for dynamic computational grid." Journal of Computational Science 48 (January 2021): 101268. http://dx.doi.org/10.1016/j.jocs.2020.101268.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Schippers, Harmen, and Jeroen A. Wensing. "Hybrid computational model for noise propagation through a fuselage boundary layer." AIAA Journal 34, no. 9 (1996): 1785–92. http://dx.doi.org/10.2514/3.13308.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Ilegbusi, Olusegun J., Adnan Islam, and Anand P. Santhanam. "Computational modelling of airflow in distal airways using hybrid lung model." Mathematical and Computer Modelling of Dynamical Systems 29, no. 1 (2023): 186–207. http://dx.doi.org/10.1080/13873954.2023.2243087.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Kumar, Gaurav, Ashoke De, and Harish Gopalan. "Investigation of flow structures in a turbulent separating flow using hybrid RANS-LES model." International Journal of Numerical Methods for Heat & Fluid Flow 27, no. 7 (2017): 1430–50. http://dx.doi.org/10.1108/hff-03-2016-0134.

Full text

Abstract:

Purpose Hybrid Reynolds-averaged Navier–Stokes large eddy simulation (RANS-LES) methods have become popular for simulation of massively separated flows at high Reynolds numbers due to their reduced computational cost and good accuracy. The current study aims to examine the performance of LES and hybrid RANS-LES model for a given grid resolution. Design/methodology/approach For better assessment and contrast of model performance, both mean and instantaneous flow fields have been investigated. For studying instantaneous flow, proper orthogonal decomposition has been used. Findings Current analys

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!