## What is/are Integrated Algorithm?

Integrated Algorithm - Furthermore, we provide an integrated algorithm that incorporates two models.^{[1]}The governing partial differential equations of the boundary layer are transformed into nonlinear ordinary differential equations via similarity transformations, and then numerically solved using the bvp4c method, which is the integrated algorithm of MATLAB.

^{[2]}In this study, we proposed an integrated algorithm, ImmuMiRNA, for identifying miRNA modulators of immune‐associated pathways.

^{[3]}Experiment results show that compared with unintegrated algorithm, this method achieves higher recognition accuracy and has great application potential.

^{[4]}Finally, integrated algorithms might become the most popular evaluation method of learning preference in the era of smart learning environments.

^{[5]}So far, there is no effective HD device–integrated algorithm to assist medical staff in response to these adverse events a step earlier during HD.

^{[6]}The integrated algorithm was tested on two population loss rate datasets collected from multiple honey bee colonies in a honey bee farm.

^{[7]}Our second contribution is this integrated algorithm for speaker verification and localization.

^{[8]}This paper proposes a novel bagging tree and dynamic time warping (DTW) integrated algorithm for the detection of driving events employing acceleration and orientation data from a smartphone’s low cost three-axis accelerometers and gyroscopes.

^{[9]}Inspired by the integrated algorithm, a large number of multi-view methods began to emerge.

^{[10]}In this paper, an integrated algorithm for the identification of dynamic and dense quasi-static structural features exploiting moving vehicles is proposed.

^{[11]}The integrated algorithm had a detection accuracy of 100% and above 95%, respectively, for the original juice up to the 1:20 diluted samples and for the more dilute 1:50 to 1:100 samples, respectively.

^{[12]}Recent findings The most significant advancement in the field of CTO interventions is the incorporation of the available techniques in integrated algorithms.

^{[13]}The integrated algorithm can swiftly and accurately track the MPP under extreme temperature or solar irradiation swings, which causes rapid changes in the MPP level or GMPP level of the photovoltaic (PV) array.

^{[14]}Besides; a new evaluation model based on a correlation-based feature selection-association rules-data envelopment analysis (CFS-ARs-DEA) integrated algorithm is proposed by using a data-driven model.

^{[15]}We call this integrated algorithm as GRU-EdgeQL.

^{[16]}Meanwhile, an integrated algorithm for selecting optimal control parameters is presented as well.

^{[17]}The lack of an integrated algorithm to distinguish the location of drivers’ vision.

^{[18]}The integrated algorithm is a highly flexible data analysis and prediction algorithm.

^{[19]}Based on this, it is proposed to apply the idea of integrated algorithm in DBN algorithm, collect the hospital data by investigating its related factors, clean and process the collected data, and sample and model the processed data multiple times.

^{[20]}In addition, we propose an integrated algorithm that integrates these two models.

^{[21]}Notably, we have integrated algorithms developed in-house for predicting driver and passenger mutations based on mutational context and tumor suppressor genes and oncogenes from somatic mutation data.

^{[22]}To efficiently identify the stripes of oceanic internal waves from SAR images, we propose an integrated algorithm for the detection and recognition of oceanic internal waves.

^{[23]}To this end, we propose a 2-in-1 Accelerator, an integrated algorithm-accelerator co-design framework aiming at winning both the adversarial robustness and efficiency of DNN accelerators.

^{[24]}Affected by the integrated algorithm, a large number of multi-view methods began to emerge.

^{[25]}The paper develops an integrated algorithm that allows assessing the network characteristics of the market.

^{[26]}The developed approach is an integrated algorithm which helps to perform preliminary preparation and interpretation of GWL data in the framework of integrated adjustable process with minimum participation of the interpreter in routine operations.

^{[27]}This paper presents an integrated algorithm for the estimation of ego-vehicle and obstacles’ positioning and motion along a given road, modeled in curvilinear coordinates.

^{[28]}To improve the positioning accuracy and robustness of STCL, a novel Factor Graph and Cubature Kalman Filter (FGCKF)-integrated algorithm is proposed in this paper.

^{[29]}The integrated algorithm can not only solve the ambiguity problem of polarized orientation and reduce the cumulative error of the system, but also increase the navigation output rate and enhance the robustness of the system.

^{[30]}Since three sub-problems are coupled, a cooperation coevolution mechanism is proposed for the integrated algorithm by information sharing.

^{[31]}Developed an integrated algorithm for the formation of the competence of training in the direction of IT.

^{[32]}The vision system is adopted to estimate the real time position and motion of the target by an integrated algorithm of photogrammetry and the adaptive extended Kalman filter.

^{[33]}Convolutional Neural Network (CNN) was the integrated algorithm to recognize food on an image.

^{[34]}PURPOSE To validate a smartphone-operated, single-lead electrocardiography (1L-ECG) device (AliveCor KardiaMobile) with an integrated algorithm for atrial fibrillation (AF) against 12-lead ECG (12L-ECG) in a primary care population.

^{[35]}Our unique contributions include (1) a composite metric on Informativeness and Purity criteria in searching for the best context summarizing nodes of a community; (2) a node similarity measure that incorporates the context-level similarity on multiple node attributes; and (3) an integrated algorithm that drives community structure discovery by appropriately weighing edges.

^{[36]}In this article, the authors have proposed an integrated algorithm for instruction scheduling and register allocation, and implemented it for compiler optimization in a machine description in a trimaran infrastructure for exploitation of instruction-level parallelism.

^{[37]}And it was found that the accuracy of the model established by the integrated algorithm is higher than that by the non-integrated algorithm.

^{[38]}We present an integrated algorithm which includes two steps, coflow scheduling and circuit scheduling, respectively.

^{[39]}Finally, according to the integrated algorithm, assigning weak learners’ weights and integrating become strong learners.

^{[40]}A mobile woundcare app with an integrated algorithm to detect complications may lead to improved monitoring and earlier treatment of complications.

^{[41]}Based on these datasets, a novelty-integrated algorithm was developed for drug target prioritization by perturbed gene expression and network information.

^{[42]}This paper developed a principal component analysis (PCA)-integrated algorithm for feature identification in manufacturing; this algorithm is based on an adaptive PCA-based scheme for identifying image features in vision-based inspection.

^{[43]}This paper proposes an integrated algorithm for face age estimation based on convolutional neural network.

^{[44]}In this paper, we propose an integrated algorithm, B-NSGA-III, that produces much better convergence and diversity preservation.

^{[45]}Then the second stage constructed a strong predictor formed by the integrated algorithm.

^{[46]}The integrated algorithms system was developed around a BLDC motor based on a real-time operating system.

^{[47]}The transcriptome is the most commonly used data type in integration, and a large number of FBA (flux balance analysis)-based integrated algorithms have been developed.

^{[48]}To solve the problem, an integrated algorithm by merging and scheduling is proposed.

^{[49]}BACKGROUND The study aimed to compare the accuracy of epidural depth estimation of a handheld ultrasound device, with an integrated algorithm that estimates epidural depth (AU; Accuro, Rivanna Medical), to that of a console ultrasound machine (GU; GE LOGICTM S8).

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## An Integrated Algorithm

An integrated algorithm is designed to obtain the global optimized solutions so that the speed-varying dynamic parameters of TCP can be identified.^{[1]}An integrated algorithm is presented, showing different mathematical approaches of using the FH theory.

^{[2]}An integrated algorithm is proposed to improve simultaneously the ordinal and multiplicative consistencies.

^{[3]}An integrated algorithm using first-line chest radiography and contingent use of HRCT can help optimise management and prognostication of COVID-19.

^{[4]}An integrated algorithm of a kinematic controller and a torque controller is proposed to solve synchronization tracking problem of multi-nonholonomic mobile robots based on backstepping technique, and its asymptotic stability is then guaranteed by the use of Lyapunov-like analysis.

^{[5]}An integrated algorithm of the photogrammetry and the adaptive extended Kalman filter is introduced to estimate the position and orientation of the target.

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## New Integrated Algorithm

Results demonstrate the quality and efficiency improvement of new integrated algorithm, verifying its feasibility and effectiveness.^{[1]}A high-precision combination of satellite positioning and microinertial navigation is realized through design of a new integrated algorithm framework.

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## Innovative Integrated Algorithm

Remote sensing data (satellite images), geology, tectonics and mineral data sets of the region were used to prepare an innovative integrated algorithm for the exploration of Gilsonite mineral.^{[1]}Aiming at improving RTK performance in the RTK/LiDAR/INS integrated system, we proposed an innovative integrated algorithm that utilizes RTK to register LiDAR features while integrating the pre-registered LiDAR features to RTK and adopts parallel filters in the ambiguity-position-joint domain to weaken the effects of low satellite availability, cycle slips, and multipath.

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## integrated algorithm model

The fitting of the third power function model and the comparison of experimental results verify that the performance of this integrated algorithm model is significantly optimized compared to the original GA-BP algorithm.^{[1]}In order to resolve these issues, the TDOA/TSOA integrated algorithm model was presented.

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## integrated algorithm comprising

Using air pollution caused by motor vehicle emissions (mainly by carbon monoxide, hydrocarbon, nitrogen oxide, and particulate matter) as an example, in this study, we applied an integrated algorithm comprising system dynamics, entropy weight method, and gray system theory to establish a weighted logic function.^{[1]}This paper presents the integrated algorithm comprising image preprocessing and image analysis for a camera-based measurement system that enables an evaluation of the combustion behavior of the alternative fuel.

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## integrated algorithm could

835, and the integrated algorithm could achieve the mAP = 0.^{[1]}The thin water film formation on a typical wing of NACA0012 airfoil was then analysed, the results of which illustrated that the integrated algorithm could successfully capture the characteristics of liquid film formation and motion.

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## integrated algorithm combining

Under a consideration of feature selection, machine learning algorithms, namely logistic regression (LR), support vector machine (SVM), and an integrated algorithm combining LR and SVM (stacking), were used to predict cognitive trajectories using epidemiological variables.^{[1]}In this article, the Nash equilibrium strategy is used to solve the multiobjective optimization problems (MOPs) with the aid of an integrated algorithm combining the particle swarm optimization (PSO) algorithm and the self-organizing mapping (SOM) neural network.

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