Search · four archives
Search · four archives
15 papers · ranked by Valyu relevance
Longda Wang, Lijie Wang, Yan Chen, Yongquan Zhou
With the rapid development of urban rail transit, train operation control is required to meet increasingly stringent demands in terms of energy consumption, comfort, punctuality, and precise stopping. The optimization and tracking control of speed profiles are two critical issues in ensuring the performance of…
Hong Ma, Muhammad Fadhil Marsani, Mohd. Asyraf Mansor, Mohd Shareduwan Mohd Kasihmuddin + 1 more
Accurate runoff prediction is critical for flood risk management and water resources regulation. This study proposes a probabilistic runoff forecasting framework that integrates optimized signal decomposition, deep learning, bias correction, and uncertainty quantification. Variational Mode Decomposition optimized by…
Yongxin Hou
Accurate reactive power sharing in islanded microgrids is often compromised by resistive line impedances and parameter mismatches, causing power coupling and uneven distribution. This paper proposes an adaptive virtual impedance control strategy that integrates a fuzzy PID controller with the Improved Whale…
Lili Qu, Qingfang Teng, Hao Mai, Jing Chen + 1 more
High-accuracy short-term electric load forecasting is essential for ensuring the security of power systems and enhancing energy efficiency. Power load sequences are characterized by strong randomness, non-stationarity, and nonlinearity over time. To improve the precision and efficiency of short-term load forecasting in…
Xin Xiong, Zikang Feng, Peng Li, Xi Hu + 3 more
Electrophoretic Displays (EPDs) are widely adopted in e-readers and portable devices due to their ultra-low power consumption and eye-friendly reflective characteristics. However, inherent hardware limitations, such as low resolution, slow response speed, and display degradation, frequently result in blurred strokes…
Wenqin Wang, Lijun Li, Bilal Alatas
In this work, a new Hybrid PSO-Whale Optimization (HPWO) algorithm is introduced to optimize energy consumption in slipform construction. By combining the global exploration power of Particle Swarm Optimization (PSO) with the local exploitation strengths of Whale Optimization Algorithm (WOA), the HPWO algorithm…
Ehab H. Abdelhay, Khaled Mohammed Elgamily, Walaa Omar El-Farouk Badr
Accurate and early diagnosis of cancer is critical for determining effective treatment strategies and improving patient survival rates. However, automated multi-class cancer detection remains an enormous clinical and computational challenge due to the high visual heterogeneity within specific cancer classes and the…
Binbin Tu, Jiawei Bao, Haoyuan Zhou, Yan Huo + 3 more
UAV path planning in complex static 3D environments involves multiple conflicting objectives and intricate constraints. However, when applied to highly constrained path planning tasks, MOWOA often suffers from a low proportion of feasible solutions, convergence instability, single-leader search bias, and an uneven…
Nomula Divya, M. N. V. Kiranbabu, G. Charles Babu
With the exponential growth of multi-cloud, spearheaded by latency-sensitive workloads, edge inclusion and heterogeneous resource pools; there is a dire need for scheduling methods which are energy neutral as well as robust against dynamic operational stress. In this work, a new bi-directional optimization-prediction…
Rahul Biswas, Farzin Kazemi, Akhilendra Sharma, Robert Jankowski + 2 more
The growing demand for concrete poses a significant environmental challenge, but alkali-activated high-performance concrete (AA-HPC) offers a more sustainable alternative by potentially reducing carbon emissions and ecological harm. This study explores the latest developments in machine learning (ML) applications aimed…
Ruofan Wang, Jitong Wang, Jiaxuan Cai, Siqian Wang + 2 more
Alzheimer’s Disease (AD) is a neurodegenerative disorder with insidious onset, making early diagnosis challenging. Electroencephalogram (EEG) is a promising noninvasive tool for AD diagnosis, but high-density EEG configurations cause computational burdens and hinder clinical translation. Thus, developing an efficient…
Ning Zhao, Tinghua Wang, Yating Zhu, Yongquan Zhou
To address the deficiencies in global search capability and population diversity decline of the black-winged kite algorithm (BKA), this paper proposes an enhanced black-winged kite algorithm integrating opposition-based learning and quasi-Newton strategy (OQBKA). The algorithm introduces a mirror imaging strategy based…
Xianmeng Zhao, Yutong Duan, Fan Liu
Traditional Rime Optimization Algorithm (RIME) often encounters performance degradation when dealing with complex optimization landscapes, such as high dimensionality, strong multimodality, and application-driven image segmentation tasks. To overcome these limitations, this study develops a multi-strategy self-adaptive…
Zhenkun Lu, Jianyong Zhu, Dingfeng Lu, Hongze Lv + 3 more
The Ivy Optimization Algorithm (IVY) is a novel swarm intelligence optimization algorithm that simulates the phototropic growth mechanism of plants. To comprehensively improve the overall optimization performance, this paper proposes an enhanced Ivy Optimization Algorithm (LSIVY) integrating improved Logistics chaotic…
Li Cao, Meng Li, Ken Chen, Yinggao Yue + 3 more
Aiming at the inherent limitations of the basic White Shark Optimizer (WSO), such as insufficient population diversity, unbalanced global and local search mechanisms, and weak convergence in the later stage, this paper proposes an Improved White Shark Optimizer (IWSO). The algorithm is improved from the following three…