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Unet-Astar: A Deep Learning-Based Fast Routing Algorithm for Unified PCB Routing

IEEE Access, 2023
In recent years, there has been extensive research on the routing problem of printed circuit boards (PCBs). Due to the increasing number of pins, high pin density, and unique physical constraints, manual PCB routing has become a time-consuming task to ...
Shiyuan Yin, Min Jin, Gang Chen, Guoliang Gong, Wenyu Mao, Huaxiang Lu   +5 more
doaj   +1 more source

Reinforcement-learning-based parameter adaptation method for particle swarm optimization

Complex & Intelligent Systems, 2023
Particle swarm optimization (PSO) is a well-known optimization algorithm that shows good performances in solving different optimization problems. However, the PSO usually suffers from slow convergence.
Shiyuan Yin, Min Jin, Huaxiang Lu, Guoliang Gong, Wenyu Mao, Gang Chen, Wenchang Li   +6 more
doaj   +1 more source

Prediction of metal ion ligand binding residues by adding disorder value and propensity factors based on deep learning algorithm

Frontiers in Genetics, 2022
Proteins need to interact with different ligands to perform their functions. Among the ligands, the metal ion is a major ligand. At present, the prediction of protein metal ion ligand binding residues is a challenge. In this study, we selected Zn2+, Cu2+,
Sixi Hao, Sixi Hao, Xiuzhen Hu, Xiuzhen Hu, Zhenxing Feng, Zhenxing Feng, Kai Sun, Kai Sun, Xiaoxiao You, Xiaoxiao You, Ziyang Wang, Ziyang Wang, Caiyun Yang, Caiyun Yang   +13 more
doaj   +1 more source

JD-SLAM: Joint camera pose estimation and moving object segmentation for simultaneous localization and mapping in dynamic scenes

International Journal of Advanced Robotic Systems, 2021
As a fundamental assumption in simultaneous localization and mapping, the static scenes hypothesis can be hardly fulfilled in applications of indoor/outdoor navigation or localization.
Yujia Zhai, Baoli Lu, Weijun Li, Jian Xu, Shuangyi Ma   +4 more
doaj   +1 more source

Recognition of Metal Ion Ligand-Binding Residues by Adding Correlation Features and Propensity Factors

Frontiers in Genetics, 2022
The realization of many protein functions is inseparable from the interaction with ligands; in particular, the combination of protein and metal ion ligands performs an important biological function.
Shuang Xu, Shuang Xu, Xiuzhen Hu, Xiuzhen Hu, Zhenxing Feng, Zhenxing Feng, Jing Pang, Jing Pang, Kai Sun, Kai Sun, Xiaoxiao You, Xiaoxiao You, Ziyang Wang, Ziyang Wang   +13 more
doaj   +1 more source

Prediction model of coal seam gas content based on ACSOA optimized BP neural network

Meikuang Anquan, 2022
For the problem of coal seam gas content prediction, the influencing factors of coal seam gas content were analyzed by taking No.2 coal seam of Chensilou Coal Mine as the research object.
Prediction model of coal seam gas content based on ACSOA optimized BP neural network
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Altered Spinal Homeostasis and Maladaptive Plasticity in GFAP Null Mice Following Peripheral Nerve Injury

Cells, 2022
The maladaptive response of the central nervous system (CNS) following nerve injury is primarily linked to the activation of glial cells (reactive gliosis) that produce an inflammatory reaction and a wide cellular morpho-structural and functional ...
Ciro De Luca, Assunta Virtuoso, Sohaib Ali Korai, Raffaella Cirillo, Francesca Gargano, Michele Papa, Giovanni Cirillo   +6 more
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Model migration neural network for predicting battery aging trajectories [PDF]

, 2020
Accurate prediction of batteries’ future degradation is a key solution to relief users’ anxiety on battery lifespan and electric vehicle’s driving range. Technical challenges arise from the highly nonlinear dynamics of battery aging.
Gao, Furong, Liu, Kailong, Marco, James, Tang, Xiaopeng, Wang, Xin, Widanage, Widanalage Dhammika   +5 more
core   +1 more source

Approximate solutions to shallow water wave equations by the homotopy perturbation method coupled with Mohand transform

Frontiers in Physics, 2023
In this paper, the Mohand transform-based homotopy perturbation method is proposed to solve two-dimensional linear and non-linear shallow water wave equations.
Yue Liu, Yue Liu, Yue Liu, Yanni Zhang, Jing Pang, Jing Pang   +5 more
doaj   +1 more source

Energy-efficient control of pump units based on neural-network parameter observer [PDF]

, 2020
An observer based on an artificial neural network was designed. The observer determines the pumping unit performance depending on the operating point. Determination is based on the measured technological coordinates of the system and the pressure of the ...
Burian, S. O., Kiselychnyk, Oleh, Pushkar, M. V., Reshetnik, V. S., Zemlianukhina, H. Y.   +4 more
core   +1 more source