Search Results - (( variable navigation using algorithm ) OR ( evolution optimization bat algorithm ))
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Multi-Swarm bat algorithm
Published 2023“…In this study a new Bat Algorithm (BA) based on multi-swarm technique called the Multi-Swarm Bat Algorithm (MSBA) is proposed to address the problem of premature convergence phenomenon. …”
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Quality of service and energy efficient aware (QEEA) scheduling algorithm for long term evolution (LTE) network / Nurulanis Mohd Yusoff
Published 2017“…Basically, the QEEA is based on the Time Domain (TD) and Frequency Domain (FD) scheduling where it is dependent on the QoS requirements to allocate resources. The proposed algorithm is compared against other scheduling algorithms, namely, the Channel and QoS Aware (CQA), Priority Set Scheduler (PSS), Proportional Fair (PF), Maximum Throughput (MT) and Blind Average Throughput (BAT). …”
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Fuzzy logic-based arrival time estimation for indoor navigation using augmented reality
Published 2025“…This study proposes a mobile AR application for indoor navigation that uses an intelligent signage algorithm based on fuzzy logic to estimate arrival time. …”
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Expectation maximization clustering algorithm for user modeling in web usage mining system
Published 2009“…In this study we advance a model for mining of user’s navigation pattern. The model is based on expectation-maximization (EM) algorithm and it is used for finding maximum likelihood estimates of parameters in probabilistic models, where the model depends on unobserved latent variables. …”
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Improvement of an integrated global positioning system and inertial navigation system for land navigation application
Published 2012“…The proposed hybrid method is simple, easy to implement and can be used to automate the INS-error estimation step used in the proposed integrated GPS/INS navigator. …”
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Automatic estimation of inertial navigation system errors for global positioning system outage recovery
Published 2011“…Kalman filter (KF) is widely used in INS and GPS integration to present a forceful navigation solution by overcoming the GPS outage problems. …”
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Development of a motion planning and obstacle avoidance algorithm using adaptive neuro fuzzy inference system for mobile robot navigation
Published 2017“…Finally, the last objective is to improve the optimality of the new approach using a robust Machine Learning strategy. An adaptive neuro-fuzzy inference system (ANFIS) was designed which constructs and optimizes a fuzzy logic controller using a given dataset of input/output variables in order for the mobile robot to learn. …”
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Collision Free Control of Variable Length Hyper Redundant Robot Manipulator
Published 2014“…Hyper-redundant robot (HRR) manipulators are useful at navigating convoluted paths, but conventionally complicated to control. …”
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Collision free control of variable length hyper redundant robot manipulator
Published 2014“…Hyper-redundant robot (HRR) manipulators are useful at navigating convoluted paths, but conventionally complicated to control. …”
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Artificial neural network modelling of photodegradation in suspension of manganese doped zinc oxide nanoparticles under visible-light irradiation
Published 2014“…Therefore, QP-4-8-1 was selected as final model for validation test and navigation of the process. The model was used for determination of the optimum values of the effective variables by a few three-dimensional plots. …”
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Multi-Objective Multi-Exemplar Particle Swarm Optimization Algorithm with Local Awareness
Published 2024“…Multi-Objective Optimization (MOO) algorithms play a crucial role in this process by enabling them to navigate these trade-offs effectively. …”
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Obstacle avoidance robot using sonar sensor (OARuS)
Published 2008“…I choose this type of sensor is because it can send and receive signal only using one sensor. After I test these sensors, I choose to use an LV-MaxSonar@EZ1 as my transducer because these sensors have more advantage such as easy to use, range stability, continuously variable gain, quality beam shape, wave form analysis, calibration and test, very small size (and weight), low cost, low power, and wide operating voltage for this system. …”
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Scheduling the blended solution as industrial CO2 absorber in separation process by back-propagation artificial neural networks
Published 2015“…Therefore, the blend’s components and operating temperature were modeled and optimized as input effective variables to minimize its viscosity as the final output by using back-propagation artificial neural network (ANN). …”
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Simultaneous measurement of multiple soil properties through proximal sensor data fusion: a case study
Published 2019“…Predictions of pH and LBC were only feasible using MARS and PLSR, respectively. In this field, it was not possible to predict extractable P and K using all tested sensor combinations or algorithms. …”
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Analysis of anatomical variants of frontal sinus outflow tract (FSOT) by multiplanar reconstruction MDCT scan images
Published 2020“…The measurement of Agger Nasi cell volume, frontal beak thickness, frontal recess and frontal isthmus length were performed using facial bone review of high kernel algorithm. …”
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A Novel Triangular-Based Estimation Technique for Bezier Curve Control Points Generation on Autonomous Vehicle Path Planning at the Roundabout Intersection
Published 2023“…The proposed method is demonstrated in an oval-shaped roundabout and tested using a vehicle model also the proposed path generation algorithm is compared with other path planning methods.…”
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An improved streamflow model with climate and land use factors for Hulu Langat Basin
Published 2014“…Firstly, the climatic variables were estimated under the A1B and A2 climate change scenarios employing the LARS-WG model and the land use map of year 2025 was generated based on the trend of land use changes in the period 1984-2002 utilizing the Land Change Modeler (LCM). …”
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