A distribution-guided Mapper algorithm by Yuyang Tao, Shufei Ge

“…With a dataset as an input, the Mapper algorithm outputs a graph representing the topological features of the whole dataset. …”
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Squat Motion of a Humanoid Robot Using Three-Particle Model Predictive Control and Whole-Body Control by Hongxiang Chen, Xiuli Zhang, Mingguo Zhao

“…In this paper, we apply three-particle model predictive control (TP-MPC) combined with weight-based whole-body control (WBC) to a humanoid robot. In this approach, the arms, legs, and torso are simplified into three particles. …”
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The Design and Experiment of a Motion Control System for the Whole-Row Reciprocating Seedling Picking Mechanism of an Automatic Transplanter by Jiawei Shi, Jianping Hu, Wei Liu, Junpeng Lv, Yongwang Jin, Mengjiao Yao, Che Wang

“…When KP = 15, KI = 3, and KD = 1, the whole-row seedling picking control system ran stably, responded quickly, and had no overshoot. …”
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High-Accuracy HLA Type Inference from Whole-Genome Sequencing Data Using Population Reference Graphs. by Alexander T Dilthey, Pierre-Antoine Gourraud, Alexander J Mentzer, Nezih Cereb, Zamin Iqbal, Gil McVean

“…We show that HLA*PRG, our algorithm, outperforms existing methods by a wide margin. …”
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A Whole-Body Coordinated Motion Control Method for Highly Redundant Degrees of Freedom Mobile Humanoid Robots by Hao Niu, Xin Zhao, Hongzhe Jin, Xiuli Zhang

“…To address the high redundancy issue arising from the wheeled chassis and dual-arm design of mobile humanoid robots, this study proposes a whole-body coordinated motion control algorithm based on arm potential energy optimization. …”
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Genetic findings of children with congenital heart diseases using chromosomal microarray and trio-based whole exome sequencing by Rui Guo, Chunhong Duan, Mehdi Zarrei, Miriam S. Reuter, Rui Dong, Guangye Zhang, Xiaomeng Yang, Haiyang Zhang, Ying Wang, Stephen W. Scherer, Yi Liu, Zhongtao Gai

“…Trio-based WES should be part of the diagnostic algorithm.…”
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Exploring the limits of scan time reduction for ferumoxytol-enhanced whole-heart angiography in congenital heart disease patients by Ludovica Romanin, Milan Prsa, Christopher W. Roy, Xavier Sieber, Jérôme Yerly, Bastien Milani, Tobias Rutz, Salim Si-mohamed, Estelle Tenisch, Davide Piccini, Matthias Stuber

“…A similarity-driven multi-dimensional binning algorithm (SIMBA) was introduced for 3D whole-heart angiography from ferumoxytol-enhanced free-running MRI. …”
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Loopback matching algorithm with support set protection by Shu-juan TIAN, Xiao-ping FAN, Ting-rui PEI, Shu YANG, Zhe-tao LI

“…There was a drawback of deleting right support elements in some greedy iterative reconstruction algorithms.To resolve this problem,loopback matching algorithm with support set protection (LM-P) was proposed.First,LM-P ini-tialized elements of non-protected support set based on minimum residual inner product.Second,it computed the projec-tions of observations on the observation sub-matrix corresponding to non-protected support set elements.Then,an ele-ment in non-protected support set with the largest projection was added to the protected support set.An alternative multi-plicative iteration method was employed to obtain the whole protected support set.As to reconstruct a sparse signal whose nonzero elements are normally distributed and the signal sparsity is less than half the number of measurements,experimental results show that the reconstruction accuracy of LM-P algorithm exceeds 86%.For sparse signals with small noise,the reconstruction accuracy of LM-P can maintain over 99 %.Compared with OMP,CoSaMP,SP and GPA algo-rithms,LM-P's observations are smaller.LM-P also has good performance for image reconstruction.greedy iteration;support set;sparse signal;LM-P…”
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Loopback matching algorithm with support set protection by Shu-juan TIAN, Xiao-ping FAN, Ting-rui PEI, Shu YANG, Zhe-tao LI

“…There was a drawback of deleting right support elements in some greedy iterative reconstruction algorithms.To resolve this problem,loopback matching algorithm with support set protection (LM-P) was proposed.First,LM-P ini-tialized elements of non-protected support set based on minimum residual inner product.Second,it computed the projec-tions of observations on the observation sub-matrix corresponding to non-protected support set elements.Then,an ele-ment in non-protected support set with the largest projection was added to the protected support set.An alternative multi-plicative iteration method was employed to obtain the whole protected support set.As to reconstruct a sparse signal whose nonzero elements are normally distributed and the signal sparsity is less than half the number of measurements,experimental results show that the reconstruction accuracy of LM-P algorithm exceeds 86%.For sparse signals with small noise,the reconstruction accuracy of LM-P can maintain over 99 %.Compared with OMP,CoSaMP,SP and GPA algo-rithms,LM-P's observations are smaller.LM-P also has good performance for image reconstruction.greedy iteration;support set;sparse signal;LM-P…”
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An Optimized Strategy Coverage Control Algorithm for WSN by Zeyu Sun, Weiguo Wu, Huanzhao Wang, Heng Chen, Wei Wei

“…Thirdly, OSCC picks out the optimal routing solution while conducting combinatorial optimization of routing path using ant colony optimization (ACO) algorithm, thus reducing the energy spending of whole network. …”
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DIDADTIC TOOLS FOR THE STUDENTS’ ALGORITHMIC THINKING DEVELOPMENT by T. P. Pushkaryeva, T. A. Stepanova, V. V. Kalitina

“…Modern engineers must possess high potential of cognitive abilities, in particular, the algorithmic thinking (AT). In this regard, the training of future experts (university graduates) of technical specialities has to provide the knowledge of principles and ways of designing of various algorithms, abilities to analyze them, and to choose the most optimal variants for engineering activity implementation. …”
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Whole-Body Diffusion-Weighted Magnetic Resonance Imaging and Positron Emission Tomography Combined with Computed Tomography in the Staging of Lymphomas by S. A. Kharuzhyk, E. A. Zhavrid, A. V. Dzyuban, K. V. Poddubnyy, E. V. Sukolinskaya, O. A. Kalenik

“…The new lymphoma staging algorithm based on whole-body DW-MRI is superior to PET/CT and PET/CT with BM biopsy.…”
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High-Precision Diagnosis of the Whole Process of Laser-Induced Plasma and Shock Waves Using Simultaneous Phase-Shift Interferometry by Lou Gao, Hongchao Zhang, Jian Lu, Zhonghua Shen

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Hybrid Impedance-Based Controller Design of Grid-Connected Converter for Whole-System Stabilization of Grid-Connected DC Microgrids by Yuxin Zhu, Fei Wang, Zhengyu Lin, James Fleming

“…With the development of DC microgrids, the DC section will gradually integrate more distributed energy resources and be compatible with various system operations, so it will be increasingly challenging to design the controller of GCCs to ensure the whole-system stability. To address this problem, this paper proposes a hybrid impedance-based controller design from the whole-system stabilisation perspective. …”
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Predictive modelling of whole-body vibration transmission through strategic locations of human body using artificial neural networks by Ali Murtoja Shaikh, Bibhuti Bhusan Mandal

“… Introduction: Modelling the seated human body's response to whole-body vibration poses a formidable challenge due to its intricate reliance on factors encompassing anthropometry, postures, and vibration characteristics. …”
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Capturing resilience from phenotypic deviations: a case study using feed consumption and whole genome data in pigs by Enrico Mancin, Christian Maltecca, Jicaj Jiang, Yi Jian Huang, Francesco Tiezzi

“…We subsequently integrated these indicators with Whole Genome Sequencing using SLEMM algorithm, data from 1,250 animals to assess their efficacy in capturing resilience and their independence from the mean of daily feed consumption. …”
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Type VII secretion system gene mutations driving global mycobacterium tuberculosis transmission revealed by whole genomic sequence by Jian-Jun Yang, Jian-Jun Yang, Yuan-long Hu, Ping-yi Sun, Ling Wang, Xian-Jin Xie, Ting-Ting Wang

“…Initially, Boruta algorithm was used to pinpoint SNPs that were significant for TB transmission. …”
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Development of model for identifying homologous recombination deficiency (HRD) status of ovarian cancer with deep learning on whole slide images by Ke Zhang, Youhui Qiu, Songwei Feng, Han Yin, Qi Liu, Yuxin Zhu, Haoyu Cui, Xiaoying Wei, Guoqing Wang, Xiangxue Wang, Yang Shen

“…Results The UNet + + algorithm segmented tumor regions with 81.8% accuracy, 85.9% recall, 83.8% dice score and 68.3% IoU. …”
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AI-Based Noise-Reduction Filter for Whole-Body Planar Bone Scintigraphy Reliably Improves Low-Count Images by Csaba Csikos, Sándor Barna, Ákos Kovács, Péter Czina, Ádám Budai, Melinda Szoliková, Iván Gábor Nagy, Borbála Husztik, Gábor Kiszler, Ildikó Garai

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Predicting the animal hosts of coronaviruses from compositional biases of spike protein and whole genome sequences through machine learning. by Liam Brierley, Anna Fowler

“…We obtained a set of 650 spike protein and 511 whole genome nucleotide sequences from 222 and 185 viruses belonging to the family Coronaviridae, respectively. …”
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