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Dan Wang, Liqiang Liu, Yueyang Ben, Pingan Dai and Jiancheng Wang
Position errors of inertial navigation systems (INS) increase over time after long-term voyages of the autonomous underwater vehicle. Terrain-aided navigation (TAN) can effectively reduce the accumulated error of the INS. However, traditional TAN algorit...
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Guowei Hua, Shijie Wang, Meng Xiao and Shaohua Hu
Dam safety is considerably affected by seepage, and uplift pressure is a key indicator of dam seepage. Thus, making accurate predictions of uplift pressure trends can improve dam hazard forecasting. In this study, a convolutional neural network, (CNN)-ga...
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Duc-Tien Bui, Hexuan Li, Francesco De Cristofaro and Arno Eichberger
Lateral vehicle control is of high importance in automated vehicles as it directly influences the vehicle?s performance and safety during operation. The linear quadratic regulator (LQR) controller stands out due to its high-performance characteristics an...
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Jamil Al-Sawwa and Mohammad Almseidin
With the rapid development of internet technology, the amount of collected or generated data has increased exponentially. The sheer volume, complexity, and unbalanced nature of this data pose a challenge to the scientific community to extract meaningful ...
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Vasiliy V. Grigoriev, Oleg Iliev and Petr N. Vabishchevich
Parameter identification is an important research topic with a variety of applications in industrial and environmental problems. Usually, a functional has to be minimized in conjunction with parameter identification; thus, there is a certain similarity b...
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Shaolong Yang, Jin Huang, Weichao Li and Xianbo Xiang
A growing number of researchers are interested in deploying unmanned surface vehicles (USVs) in support of ocean environmental monitoring. To accomplish these missions efficiently, multiple-waypoint path planning strategies for survey USVs are still a ke...
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Manoj Sindhwani, Shippu Sachdeva, Krishan Arora, Taehyun Yoon, Daeseung Yoo, Gyanendra Prasad Joshi and Woong Cho
The vehicular ad hoc network is an emerging area of technology that provides intelligent transportation systems with vast advantages and applications. Frequent disconnections between the vehicular nodes due to high-velocity vehicles impact network perfor...
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Derry Pramono Adi, Lukman Junaedi, Frismanda, Agustinus Bimo Gumelar, Andreas Agung Kristanto
Pág. 60 - 74
Initially, the goal of Machine Learning (ML) advancements is faster computation time and lower computation resources, while the curse of dimensionality burdens both computation time and resource. This paper describes the benefits of the Feature Selection...
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Gabriella Kicska and Attila Kiss
Nowadays, the high-dimensionality of data causes a variety of problems in machine learning. It is necessary to reduce the feature number by selecting only the most relevant of them. Different approaches called Feature Selection are used for this task. In...
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Mohamad Norherman Shauqee, Parvathy Rajendran and Nurulasikin Mohd Suhadis
This paper presents an optimization algorithm named Random Explosion Algorithm (REA). The fundamental idea of this algorithm is based on a simple concept of the explosion of an object. This object is commonly known as a particle: when exploded, it will r...
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