dynamic programming-based reinforcement learning
GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS
... In general has shown that Kinect and depth of the camera are suitable for the recognition of sign language. The level of accuracy obtained in this study can be caused by several factors such as the data capturing ...
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GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS
... The rules made for both controllers could be explained by an if-then corelation. According to the rules for SISO controller shown in Table 1, value of ΔTB is obtained according to the value of error. Error itself is ...
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GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS
... a learning model as a complement of learning ...distance learning or in blended learning, and due to the paradigm of learning which is from student-centered learning ...[5].The ...
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GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS
... One of this pothole detection system main step is thresholding, which generate a unique region based on images that have been made grayscale between the potholes and the surrounding area. Potholes that having a ...
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GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS
... In this research, we employ a modularity optimization based approach that is presented by Blondel et al. [16]. The approach consists of two phases that are carried out repeatedly. The first phase finds communities ...
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GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS
... FitNet learning process to optimize the FitNet learning parameters (such as learning rate, momentum variable and network weights) to achieve best results of speech signal ...of learning ...
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GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS
... There is a close relationship between chaotic systems and cryptography which makes chaos based algorithms a natural candidate for image encryption. The two basic properties of a good cipher are confusion and ...
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GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS
... The temperature-aware data blocks are accessed through indexes of metadata file over a Datanode. The data block involves a huge delay of accessing single index among millions of indexes in Namenode. The sole reason of ...
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GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS
... In recent developments, norms have become an important entity that is considered in agent-based system’s design. Norms are not only able to organize and coordinate the actions and behaviour of agents but have a ...
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GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS
... Due to the growing number of students and academic programs in the educational institutions, there are large amount of valuable knowledge expressed in those institutions. This in turn has created the need for automated ...
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GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS
... The paper [27], the diagnosis of the VRF system using a Bayesian neural network combined with ReliefF algorithm. This study uses an artificial neural network (ANN), which is built with N-best part of the data features ...
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GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS
... The computation offloading aims to migrate the resource-intensive computations from a mobile device to the resource-rich cloud. It enhances the performance of mobile applications that are unable to execute in ...
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GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS
... The study has adapted the descriptive, field and analytic methods. An office survey and reviewing of theoretical and field studies and researches were conducted in order to crystallize the bases of the research and to ...
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GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS
... and learning processes in national institutes of higher ...Electronic Learning or e-learning for short is one area which received intensive ...e- learning initiatives and strategies in the ...
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GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS
... The extensive use of digital information storage and transfer over communication channels nowadays have raised tremendous hazards. Basically, it has exposed the information confidentiality, integrity, authenticity, ...
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GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS
... In this survey we highlighted few scenarios in copy-move forgery based on types of manipulations and image categories. A brief explanation on copy- move forgery detection workflow is given to provide better ...
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GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS
... TOPSIS. Based on test results, it states that Extended TOPSIS method can produce proper diagnostic decision alternatives according to the medical records with sensitivity value of 93%, specificity value of 96%, ...
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GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS
... lateral dynamic control of front wheel steer vehicle such as car passenger, the yaw stability control system is one of the prominent approaches to improve the vehicle handling and stability especially during low ...
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GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS
... Based on recent research about UWB communication, its clearly that one of the most interesting feature of the Pulse-based UWB technology is it’s high flexibility in term of the generated signal at the ...
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GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS
... In mobile ad hoc network (MANET), the nodes communicate wirelessly through multiple hops as it has several nodes inside each network. Each node can enter and leave the network in a dynamic way without having any ...
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