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Hybrid Approach sentence examples within convolutional neural network
This study proposes a hybrid approach where the convolutional neural networks (CNN) are used for feature extraction while the long short-term memory (LSTM) is trained and tested on those features.
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These works apply either recurrent neural networks (RNN) or some hybrid approach mixing RNN and convolutional neural networks (CNN).
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Hybrid Approach sentence examples within artificial neural network
In this article, a hybrid approach which utilizes K-Nearest Neighbor algorithm and Artificial Neural Network to detect intrusions, is proposed.
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This paper describes a hybrid approach based on Artificial Neural Networks (ANN) and an agent-based architecture for forecasting carbon dioxide (CO2) issued from different energy sources in the city of Annaba using real data.
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Hybrid Approach sentence examples within particle swarm optimization
Computational results are presented as well as a comparison with a hybrid approach combining a particle swarm optimization algorithm to deal with the upper-level problem and an exact solver to tackle the lower-level problem, which we have previously developed to address a similar case study.
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In order to improve the safety and efficiency of the robot in the process of moving, this paper proposes a new hybrid approach combining two meta-heuristic methods, we used particle swarm optimization (PSO)-based grey wolf optimization (GWO) to solve this problem.
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Hybrid Approach sentence examples within support vector machine
A Hybrid approach along with the combination of Gaussian and Polynomial methods is used as a kernel for support vector machine (SVM).
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For that purpose we have developed a hybrid approach, that is, K-means and support vector machine, for prediction of membrane protein GPCR and membrane cholesterol, and this experiment provides enhanced prediction results according with our data.
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Hybrid Approach sentence examples within long short term
Additionally, we employed a hybrid approach based on InceptionResnetV2 or Xception as Convolution Neural Network and Bidirectional Long Short-Term Memory or Bidirectional Gated Recurrent Unit on two Bengali datasets.
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In this work, a newly hybrid approach composed of double exponential smoothing (DES), variational mode decomposition (VMD), long short-term memory network (LSTM) and gaussian process regression (GPR), was proposed for point, interval and probabilistic prediction of landslide displacement.
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Hybrid Approach sentence examples within fuzzy inference system
Experimental results show the adequacy of the proposed model, and the hybrid approach ANFIS which is a fusion of ANN and fuzzy inference system includes complementary information of the uncertainty and adaptability.
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This study, investigates the applicability of adaptive network based fuzzy inference system (ANFIS) and discrete particle swarm optimization (DPSO) based hybrid approach for forecasting the close price of two major stock indices of India viz.
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Hybrid Approach sentence examples within adaptive neuro fuzzy
In this context, a hybrid approach based on the adaptive neuro-fuzzy inference system (ANFIS), the fuzzy c-means clustering (FCM), and the simulated annealing (SA) algorithm is proposed in this study.
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This research aims to develop forecasting models using a hybrid approach of ANN and FL as Adaptive Neuro-Fuzzy Inference System (ANFIS) and Wavelet Transform (WT) for two US stock indices DOW30, and the NASDAQ100.
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Hybrid Approach sentence examples within finite element method
For computational efficiency, the proposed timedomain PML formulation is implemented using a hybrid approach that couples a mixed (displacement-strain) formulation for the PML region with a classical (displacement-based) formulation for the physical domain of interest, using a standard Galerkin finite element method (FEM) for spatial discretization and a Newmark time scheme coupled with a finite difference (Crank-Nicolson) time scheme for time sampling.
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The results of a 2D simulation using the finite element method and the semi-analytical hybrid approach were validated experimentally using laser Doppler vibrometry for fully bonded and semi-debonded rectangular obstacles.
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Hybrid Approach sentence examples within deep neural network
We propose a hybrid approach which combines Genetic Algorithm (GA) and Deep Neural Network (DNN) to better classify software defects.
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To bridge this gap, and to reduce the cognitive overload for interpretation of time series data, we propose a novel hybrid approach that utilizes deep neural networks and traditional machine learning algorithms for an interpretable and scale-able time-series classification approach.
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Hybrid Approach sentence examples within natural language processing
Inferring details about the various actors involved in a news item is a problem that requires a hybrid approach that mixes machine learning, semantics and natural language processing.
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Initial search returned 203 of which only 40 studies met the inclusion criteria; 6 were on natural language processing, 6 studies were on Deep learning approaches, 5 reports analysed hybrid approaches, multi-level classification/multi-lingual classification appear in 13 reports while 10 reports were on other related methods.
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Hybrid Approach sentence examples within machine learning approach
Hybrid Approach sentence examples within k means clustering
The novelty of this research involves a new hybrid approach combining stratified sampling and k-means clustering to establish building geometry prototypes.
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In this work, a novel hybrid approach is implemented by combing watershed segmentation, level set segmentation and K means clustering.
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Hybrid Approach sentence examples within machine learning model
The analysis studied data of adult patients who underwent diagnosis over the past few years, and developed a hybrid approach, consisting of two different models: a machine learning model obtained by training on data of past cases; and a knowledge model capturing the expertise of medical experts through knowledge engineering.
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The best approach is a hybrid approach combining a rule set and a supervised machine learning model.
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Hybrid Approach sentence examples within best worst method
Design/methodology/approach
This study proposes a novel hybrid approach called best worst method (BWM) to evaluate the discerned barriers.
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In this study, a new hybrid approach integrating Interval Rough Numbers (IRNs) into Best-Worst Method (BWM) and Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS) is introduced for multi-criteria intelligent decision support to choose the best offshore wind farm site in a Turkey’s coastal area.
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Hybrid Approach sentence examples within multi criteria decision
For this purpose, Fuzzy Analytic Hierarchy Process (AHP), a hybrid approach of fuzzy logic and multi-criteria decision-making, was adopted.
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The tool is flexible to existing country processes and can follow any type of multi-criteria decision analysis or a hybrid approach.
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Hybrid Approach sentence examples within interesting paper demonstrating
This is an interesting paper demonstrating the feasibility of reproducing the simulations of global hydrological models (GHMs) using a hybrid approach (H2M).
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This is an interesting paper demonstrating the feasibility of reproducing the simulations of global hydrological models (GHMs) using a hybrid approach (H2M).
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Hybrid Approach sentence examples within minimally invasive approach
Pre-invasive and early-stage lung cancer, and conversely, advanced and metastatic tumors can be treated by innovative imaging-guided resection, minimally invasive approach or hybrid approach with very good short-term outcomes, enhanced recovery and preserved long-term survival.
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Background A pilot study reported an autologous buccal mucosal cell transplant in humans through the trans-urethral route using the buccal epithelium expanded and encapsulated in scaffold—hybrid approach to urethral stricture (BEES-HAUS), a minimally invasive approach to treat urethral stricture.
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Hybrid Approach sentence examples within empirical mode decomposition
This paper presents a new method to suppress PLI and BW from electrocardiogram (ECG) signals using a hybrid approach of empirical mode decomposition (EMD) and empirical wavelet transform (EWT).
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In this paper, a hybrid approach based on the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), the optimized wavelet multi-resolution analysis (OWMRA), and the Hilbert transform is proposed.
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Hybrid Approach sentence examples within combine machine learning
Particularly promising among these are hybrid approaches that combine machine learning with a knowledge-based model, where a machine-learning technique is used to correct the imperfections in the knowledge-based model.
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The current level of development of computational linguistics is characterized by the involvement of more and more complex levels of linguistic analysis in the field of automatic analysis, the use of hybrid approaches in solving computer text processing problems that combine machine learning and algorithmic methods.
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Hybrid Approach sentence examples within traditional machine learning
Fifth, it evaluates the integrity of a hybrid approach which combines traditional machine learning based feature engineering and deep learning based automated feature engineering.
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Although traditional machine learning models provide promising results in terms of accuracy, precision and recall, this paper analyses the possibilities of improvement in classification results through ensemble and hybrid approaches.
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Hybrid Approach sentence examples within deep learning model
In this study, we design a scalable hybrid approach utilizing a deep learning model to extract features into a machine learning classifier to automatically identify malignant lymph nodes in patients with prostate cancer.
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In this paper, we proposed a hybrid approach to the Control Flow Graph (CFG) and a deep learning model to secure the smart services of the 5G-IoT framework.
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Hybrid Approach sentence examples within Proposed Hybrid Approach
Hybrid Approach sentence examples within Novel Hybrid Approach
A novel hybrid approach based on the Theta method and Autoregressive neural network (ARNN) model, named Theta-ARNN (TARNN) model, is proposed.
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Semantic Web has recently gained traction with the use of Linked Open Data (LOD) on the Web Although numerous state-of-the-art methodologies, standards, and technologies are applicable to the LOD cloud, many issues persist Because the LOD cloud is based on graph-based resource description framework (RDF) triples and the SPARQL query language, we cannot directly adopt traditional techniques employed for database management systems or distributed computing systems This paper addresses how the LOD cloud can be efficiently organized, retrieved, and evaluated We propose a novel hybrid approach that combines the index and live exploration approaches for improved LOD join query performance Using a two-step index structure combining a disk-based 3D R*-tree with the extended multidimensional histogram and flash memory-based k-d trees, we can efficiently discover interlinked data distributed across multiple resources Because this method rapidly prunes numerous false hits, the performance of join query processing is remarkably improved We also propose a hot-cold segment identification algorithm to identify regions of high interest The proposed method is compared with existing popular methods on real RDF datasets Results indicate that our method outperforms the existing methods because it can quickly obtain target results by reducing unnecessary data scanning and reduce the amount of main memory required to load filtering results.
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Hybrid Approach sentence examples within New Hybrid Approach
Here we have proposed a new hybrid approach for balancing the load on IOT Applications where we are already aware of the incoming traffic to our system from a specific device in a specified interval.
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This paper presents a new hybrid approach for multi-objective optimization of machining parameters on GFRP composite using Taguchi coupled grey relational (GR) and desirability function (DF) approach.
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Hybrid Approach sentence examples within My Hybrid Approach
Conclusions Our hybrid approach provides a minimally invasive and comprehensive personalized therapy for patients with multiple pulmonary metastases under a single general anesthetic.
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Our hybrid approach consists on using spatial data-driven features, extracted with a convolutional neural network and spectral handcrafted features obtained from fast Fourier transform.
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Hybrid Approach sentence examples within Stage Hybrid Approach
A two-stage hybrid approach that jointly implements maximum likelihood estimation and least squares estimation methods is proposed to facilitate parameter estimation in model development based on offline degradation data, and a Bayesian algorithm based on online condition monitoring data is utilized for RUL prediction in online implementation.
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Given the recent availability of PMUs, the DPHASE strategy is developed using a parallel multi-stage hybrid approach.
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Hybrid Approach sentence examples within Different Hybrid Approach
Herein, large-scale compact Photovoltaic–Concentrated Solar Power hybrid plants are modeled considering two different hybrid approaches, over a whole year operation, and compared with a conventional Concentrated Solar Power plant.
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This research investigates four different hybrid approaches developed for dealing with yard crane scheduling problem (YCSP) and yard truck scheduling problem (YTSP) simultaneously for export containers in the yard side area of a container terminal.
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Hybrid Approach sentence examples within Efficient Hybrid Approach
An efficient hybrid approach for a face recognition system is proposed to detect the people in the image having high body temperature from infrared images captured in real-time.
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0 s, a computationally efficient hybrid approach is developed using both ABAQUS/Explicit and DEFORM-3D in order to leverage the strengths of each software package.
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Hybrid Approach sentence examples within Developed Hybrid Approach
In this paper we leverage a recently developed hybrid approach – which combines both jet and geopotential height data – to assess the representation of regimes in 8,400 years of historical climate simulations drawn from CMIP6, CMIP5 and HighResMip.
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About 42% of the analyzed articles developed hybrid approaches, 83% performed short-term prediction, and more than 78% had, as forecast goal, PV power, solar irradiance, and solar irradiation.
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Hybrid Approach sentence examples within Adopting Hybrid Approach
Many learning providers were obliged to move to fully online learning from March 2020 with some adopting hybrid approaches in line with government and health advice.
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The quality of assemblies can be enhanced by adopting hybrid approaches using Illumina libraries for bacterial genome assembly or polishing eukaryotic genome assemblies, and an ONT-Illumina hybrid approach would be more cost-effective for many users.
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