Layout Aware Optimization of High Speed Fixed Coefficient FIR Filters for FPGAs by Shahnam Mirzaei, Ryan Kastner, Anup Hosangadi

“…The first phase of our algorithm uses registered adders and hardwired shifts. …”
Get full text

An Optimization Model for Tramp Ship Scheduling considering Time Window and Seaport Operation Delay Factors by Ang Yang, Yu Cao, Kang Chen, Qingcheng Zeng, Zigen Chen

“…The model and algorithm are tested with historical operation data from the thermal power plant in the southern coastal areas of China. …”
Get full text

Basic Newborn Life Support (BNLS) for members of the general public in natural disaster and conflict areas: A PHAID (PreHospital Aid) initiative by Abdul Qader Tahir Ismail

“…This is reflected in the PHAID newborn algorithm.…”
Get full text

Fractional-Order Sliding Mode Terrain-Tracking Control of Autonomous Underwater Vehicle with Sparse Identification by Zheping Yan, Lichao Hao, Qiqi Pi, Tao Chen

“…With the construction of the autonomous underwater vehicle dynamic model in the North East Down frame regarding the vertical plane, an online sparse identification algorithm is implemented to obtain the model parameters during the diving process. …”
Get full text

Prediction of Concrete Compressive Strength Based on the BP Neural Network Optimized by Random Forest and ISSA by Gang Chen, Donglin Zhu, Xiao Wang, Changjun Zhou, Xiangyu Chen

“…Therefore, a prediction model based on the BPNN optimized by improved sparrow search algorithm (ISSA) and random forest (RF) is proposed to enhance the generalization ability and prediction accuracy of BPNN for compressive strength of concrete. …”
Get full text

Beam Shaping of a Dual-Reflector Antenna Using a Reflectarray as Subreflector and Embedded Unit Cell Patterns by Marzieh Mehri Dehnavi, Jean-Jacques Laurin

“…The beam shaping capability of the algorithm is demonstrated with simulations of a 100-element reconfigurable circularly polarized reflectarray, by controlling independently the 10 dB beamwidth of the antenna in two orthogonal planes The algorithm is also validated experimentally. …”
Get full text

Solving a Joint Pricing and Inventory Control Problem for Perishables via Deep Reinforcement Learning by Rui Wang, Xianghua Gan, Qing Li, Xiao Yan

“…We also show that our deep reinforcement learning algorithm achieves a better performance than tabular-based Q-learning algorithms. …”
Get full text

Construction of Mathematical Model of Logistics Delivering Based on Intelligent Mobilization by Haijun Liang, Jing Guo

“…The results show that compared with the traditional genetic algorithm, the accuracy of the improved particle swarm optimization algorithm is improved by 10.36%. …”
Get full text

Fault Diagnosis and Prediction of Continuous Industrial Processes Based on Hidden Markov Model-Bayesian Network Hybrid Model by Jiarula Yasenjiang, Chenxing Xu, Shengpeng Zhang, Xin Zhang

“…To alleviate this problem, a hidden Markov model-Bayesian network (HMM-BN) hybrid model is proposed to alleviate the local optimum problem in the EM algorithm and diagnose the fault root cause variable. …”
Get full text

Industrial Robot Vibration Anomaly Detection Based on Sliding Window One-Dimensional Convolution Autoencoder by ZhiDan Zhong, Yao Zhao, AoYu Yang, HaoBo Zhang, DongHao Qiao, ZhiHui Zhang

“…Secondly, the sliding window algorithm is used for data enhancement, and the dropout technique is introduced to improve the generalization ability of the model. …”
Get full text

Path Planning of Unmanned Helicopter in Complex Environment Based on Heuristic Deep Q-Network by Jiangyi Yao, Xiongwei Li, Yang Zhang, Jingyu Ji, Yanchao Wang, Yicen Liu

“…Aiming at this problem, a heuristic deep Q-network (H-DQN) algorithm is proposed. First, as part of the comprehensive reward function, a heuristic reward function is designed. …”
Get full text

Study on Early Warning of Karst Collapse Based on the BP Neural Network by Dongqin Chen

“…The stress of the sliding surface is fitted according to the spatial stress relationship of the deep karst layer through the improved BP neural network PID control algorithm and BP neural network algorithm, which avoids the modeling and mesh generation of the complex sliding block and has good accuracy and ease of use. …”
Get full text

Classification in Networked Data with Heterophily by Zhenwen Wang, Fengjing Yin, Wentang Tan, Weidong Xiao

“…In empirical study, we apply the proposed algorithm to the real-world datasets, compared with some other algorithms. …”
Get full text

Verification of Classification Model and Dendritic Neuron Model Based on Machine Learning by Dongbao Jia, Weixiang Xu, Dengzhi Liu, Zhongxun Xu, Zhaoman Zhong, Xinxin Ban

“…This paper proposes a new dendrite neuron model (DNM), which combines metaheuristic algorithm and dendrite neuron model effectively. Eight learning algorithms including traditional backpropagation, classic evolutionary algorithms such as biogeography-based optimization, particle swarm optimization, genetic algorithm, population-based incremental learning, competitive swarm optimization, differential evolution, and state-of-the-art jSO algorithm are used for training of dendritic neuron model. …”
Get full text

Research on Optimization Model of Logistics Transportation Truck Path considering Environmental Impact: Experimental Data from Xiqing District, Tianjin by Qianqian Han, Yao Sun, Qingdong Wu, Zijian Bai

“…In this context, this paper put forward a truck path optimization model considering environmental impact (TPOM-EI), which is solved by a heuristic algorithm—ant colony optimization (ACO) algorithm. …”
Get full text

Towards an Optimal Energy Consumption for Unattended Mobile Sensor Networks through Autonomous Sensor Redeployment by Jian Chen, Jie Jia, Yingyou Wen, Dazhe Zhao

“…The simulation results demonstrate that our algorithm achieves a much smaller average moving distance and a much longer network lifetime than existing algorithms and can eliminate the energy hole problem effectively.…”
Get full text

Method of Evaluating and Predicting Traffic State of Highway Network Based on Deep Learning by Jiayu Liu, Xingju Wang, Yanting Li, Xuejian Kang, Lu Gao

“…Based on the deep learning theory, this paper proposes an evaluation and prediction model of highway network traffic state, which consists of a Fuzzy C-means (FCM) algorithm-based traffic state partition model, a Long Short-Term Memory (LSTM) algorithm-based traffic state prediction model, and a K-Means algorithm-based traffic state discriminant model. …”
Get full text

A robust transfer learning approach for high-dimensional linear regression to support integration of multi-source gene expression data. by Lulu Pan, Qian Gao, Kecheng Wei, Yongfu Yu, Guoyou Qin, Tong Wang

“…In the oracle case with known transferable source datasets, a transfer learning algorithm based on penalized maximum likelihood and expectation-maximization algorithm is established. …”
Get full text

A Fast and Efficient Markov Chain Monte Carlo Method for Market Microstructure Model by Sun Yapeng, Peng Hui, Xie Wenbiao

“…A fast and efficient Markov Chain Monte Carlo (MCMC) approach based on an efficient simulation smoother algorithm and an acceptance-rejection Metropolis–Hastings algorithm is designed to estimate the non-linear MM model. …”
Get full text

Influence of Error in Estimating Anisotropy Parameters on VTI Depth Imaging by S. Y. Moussavi Alashloo, D. P. Ghosh, Y. Bashir, W. Y. Wan Ismail

“…In this study, an isotropic and anelliptic VTI fast marching eikonal solvers are employed to obtain seismic travel times required for Kirchhoff depth migration algorithm. The algorithm solely uses compressional wave. …”
Get full text