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Zhen Liu, Qifeng Yang, Anlue Wang and Xingyu Gu
In the process of driving in an underground interchange, drivers are faced with many challenges, such as being in a closed space, visual changes alternating between light and dark conditions, complex road conditions in the confluence section, and dense s...
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Mantas Bacevicius and Agne Paulauskaite-Taraseviciene
Various machine learning algorithms have been applied to network intrusion classification problems, including both binary and multi-class classifications. Despite the existence of numerous studies involving unbalanced network intrusion datasets, such as ...
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Katayoon Kiany, Abolfazl Baghbani, Hossam Abuel-Naga, Hasan Baghbani, Mahyar Arabani and Mohammad Mahdi Shalchian
This study examines the potential of the soft computing technique, namely, multiple linear regression (MLR), genetic programming (GP), classification and regression trees (CART) and GA-ENN (genetic algorithm-emotional neuron network), to predict the ulti...
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Haochen Qin, Xuexin Fan, Yaxiang Fan, Ruitian Wang, Qianyi Shang and Dong Zhang
Predicting the remaining useful life (RUL) of batteries can help users optimize battery management strategies for better usage planning. However, the RUL prediction accuracy of lithium-ion batteries will face challenges due to fewer data samples availabl...
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Rana Muhammad Amir Latif, Jinliao He and Muhammad Umer
An actual cropland extent product with a high spatial resolution with a precision of up to 60 m is believed to be particularly significant in tackling numerous water security concerns and world food challenges. To advance the development of niche, advanc...
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Zhengwei Zhu, Can Hu, Chenyang Zhu, Yanping Zhu and Yu Sheng
Unmanned Surface Vehicle (USV) has a broad application prospect and autonomous path planning as its crucial technology has developed into a hot research direction in the field of USV research. This paper proposes an Improved Dueling Deep Double-Q Network...
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Muhammad Fawad Akbar Khan, Khan Muhammad, Shahid Bashir, Shahab Ud Din and Muhammad Hanif
Low-resolution Geological Survey of Pakistan (GSP) maps surrounding the region of interest show oolitic and fossiliferous limestone occurrences correspondingly in Samanasuk, Lockhart, and Margalla hill formations in the Hazara division, Pakistan. Machine...
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Amjad Humaidi and Mustafa Hameed
In this work, a new adaptive block-backstepping control design algorithm was developed for an under-actuated model (represented by a ball?arc system) to enhance the transient and steady-state behaviors and to improve the robustness characteristics of the...
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Hoang-Bac Bui, Hoang Nguyen, Yosoon Choi, Xuan-Nam Bui, Trung Nguyen-Thoi and Yousef Zandi
Gross calorific value (GCV) is one of the essential parameters for evaluating coal quality. Therefore, accurate GCV prediction is one of the primary ways to improve heating value as well as coal production. A novel evolutionary-based predictive system wa...
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Le Thi Le, Hoang Nguyen, Jian Zhou, Jie Dou and Hossein Moayedi
In this study, a novel technique to support smart city planning in estimating and controlling the heating load (HL) of buildings, was proposed, namely PSO-XGBoost. Accordingly, the extreme gradient boosting machine (XGBoost) was developed to estimate HL ...
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