Search Results - "Miljkovic, Zoran"
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A Novel Hybrid NN-ABPE-Based Calibration Method for Improving Accuracy of Lateration Positioning System
Published in Sensors (Basel, Switzerland) (08-12-2021)“…Positioning systems based on the lateration method utilize distance measurements and the knowledge of the location of the beacons to estimate the position of…”
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Feature Sensitive Three-Dimensional Point Cloud Simplification using Support Vector Regression
Published in Tehnički vjesnik (2019)“…Contemporary three-dimensional (3D) scanning devices are characterized by high speed and resolution. They provide dense point clouds that contain abundant data…”
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Application of metaheuristic optimization algorithms for image registration in mobile robot visual control
Published in Serbian journal of electrical engineering (01-01-2021)“…Visual Servoing (VS) of a mobile robot requires advanced digital image processing, and one of the techniques especially fitting for this complex task is Image…”
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An intelligent approach to robust multi-response process design
Published in International journal of production research (01-09-2011)“…In order to meet strict customer demands in a global highly-complex industrial sector, it is necessary to design manufacturing processes based on a clear…”
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5
Chaotic fruit fly optimization algorithm
Published in Knowledge-based systems (01-11-2015)“…[Display omitted] •Development of new method named chaotic fruit fly optimization algorithm (CFOA).•Fruit fly algorithm (FOA) is integrated with ten different…”
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A comprehensive experimental evaluation of orthogonal polynomial expanded random vector functional link neural networks for regression
Published in Applied soft computing (01-09-2018)“…[Display omitted] The Random Vector Functional Link Neural Network (RVFLNN) enables fast learning through a random selection of input weights while learning…”
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Integration of process planning, scheduling, and mobile robot navigation based on triz and multi-agent methodology
Published in FME transactions (01-01-2013)“…This paper presents methodology for development of software application for integration of process planning, scheduling, and the mobile robot navigation in…”
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A novel methodology for optimal single mobile robot scheduling using whale optimization algorithm
Published in Applied soft computing (01-08-2019)“…One of the fundamental requirements for creating an intelligent manufacturing environment is to develop a reliable, efficient and optimally scheduled material…”
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Semantic segmentation based stereo visual servoing of nonholonomic mobile robot in intelligent manufacturing environment
Published in Expert systems with applications (15-03-2022)“…•The novel semantic segmentation based visual servoing algorithm is proposed.•The new 4 step algorithm for nonholonomic mobile robot control is…”
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Integration of process planning and scheduling using chaotic particle swarm optimization algorithm
Published in Expert systems with applications (01-12-2016)“…•Chaotic PSO algorithm is proposed to solve NP-hard IPPS problem.•Ten chaotic maps are implemented to avoid premature convergence to local optimum.•Makespan,…”
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Multi-objective scheduling of a single mobile robot based on the grey wolf optimization algorithm
Published in Applied soft computing (01-12-2022)“…During the last decades, intelligent mobile robots have been recognized as one of the most promising and emerging solutions used for fulfilling material…”
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Neural network Reinforcement Learning for visual control of robot manipulators
Published in Expert systems with applications (01-04-2013)“…► Intelligent hybrid controller based on the neural network Reinforcement Learning for visual control of robot manipulators. ► We developed Q-learning and…”
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13
Robust sequential learning of feedforward neural networks in the presence of heavy-tailed noise
Published in Neural networks (01-03-2015)“…Feedforward neural networks (FFNN) are among the most used neural networks for modeling of various nonlinear problems in engineering. In sequential and…”
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14
Chaotic particle swarm optimization algorithm for flexible process planning
Published in International journal of advanced manufacturing technology (01-08-2016)“…A variety of manufacturing operations together with a variety of alternative manufacturing resources provide that most jobs in the modern manufacturing systems…”
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Application of modified multi-objective particle swarm optimisation algorithm for flexible process planning problem
Published in International journal of computer integrated manufacturing (04-03-2017)“…Process planning belongs to one of the most essential functions of the modern manufacturing system. Moreover, flexible process planning implies the ability of…”
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Bio-inspired approach to learning robot motion trajectories and visual control commands
Published in Expert systems with applications (01-04-2015)“…•We propose a robust bio-inspired learning control approach (BILCA) for mobile robots.•Novel approach treats the robot trajectory learning and visual homing…”
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A growing and pruning sequential learning algorithm of hyper basis function neural network for function approximation
Published in Neural networks (01-10-2013)“…Radial basis function (RBF) neural network is constructed of certain number of RBF neurons, and these networks are among the most used neural networks for…”
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18
Chaotic metaheuristic algorithms for learning and reproduction of robot motion trajectories
Published in Neural computing & applications (01-08-2018)“…Most of today’s mobile robots operate in controlled environments prone to various unpredictable conditions. Programming or reprogramming of such systems is…”
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Fractal analysis for biosurface comparison and behaviour prediction
Published in Hemijska industrija (01-01-2009)“…Fractal analysis was used in previous authors' researches for characterizations of grinded ceramics surface textures by surface profile fractal dimension. In…”
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The detection of sensor signal attacks in industrial control systems
Published in FME transactions (2020)“…To improve productivity and efficiency in industrial manufacturing, the fourth industrial revolution leads to the implementation of Cyber Physical Systems…”
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