A prospective, multicenter analysis of the integrated 31-gene expression profile test for sentinel lymph node biopsy (i31-GEP for SLNB) test demonstrates reduced number of unnecess... by J. Michael Guenther, Andrew Ward, Brian J. Martin, Mark Cripe, Rohit Sharma, Stanley P. Leong, Joseph I. Clark, John Hamner, Timothy Beard

“…The integrated 31-gene expression profile (i31-GEP) algorithm combines the 31-GEP with clinicopathologic variables, estimating SLN positivity risk. …”
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An efficient cryptographic technique using modified Diffie–Hellman in wireless sensor networks by Shahwar Ali, A Humaria, M Sher Ramzan, Imran Khan, Syed M Saqlain, Anwar Ghani, J Zakia, Bander A Alzahrani

“…Furthermore, existing systems, such as secure efficient encryption algorithm, use the Diffie–Hellman approach for key generation and exchange; however, Diffie–Hellman is highly vulnerable to the man-in-the-middle attack. …”
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Topology identification and parameters estimation of LV distribution networks using open GIS data by Dong Liu, Juan S. Giraldo, Peter Palensky, Pedro P. Vergara

“…Three stages compose the proposed approach: In the first stage, a hierarchical minimum spanning tree algorithm is proposed to generate the initial topology with an accurate number of sub-branches from the pre-processed OSM data and peak demand. …”
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Learning-Based Model Predictive Control for Legged Robots with Battery–Supercapacitor Hybrid Energy Storage System by Boyu Shu, Zhiwu Huang, Wanwan Ren, Yue Wu, Heng Li

“…Finally, a deep learning algorithm is proposed to adaptively adjust the three weighting factors to meet the diverse operation conditions. …”
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The microenvironment cell index is a novel indicator for the prognosis and therapeutic regimen selection of cancers by Xian-Yan Yang, Nian Chen, Qian Wen, Yu Zhou, Tao Zhang, Ji Zhou, Cheng-Hui Liang, Li-Ping Han, Xiao-Ya Wang, Qing-Mei Kang, Xiao-Xia Zheng, Xue-Jia Zhai, Hong-Ying Jiang, Tian-Hua Shen, Jin-Wei Xiao, Yu-Xin Zou, Yun Deng, Shuang Lin, Jiang-Jie Duan, Jun Wang, Shi-Cang Yu

“…Abstract Background It is worthwhile to establish a prognostic prediction model based on microenvironment cells (MCs) infiltration and explore new treatment strategies for triple-negative breast cancer (TNBC). Methods The xCell algorithm was used to quantify the cellular components of the TNBC microenvironment based on bulk RNA sequencing (bulk RNA-seq) data. …”
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Diagnosis of Sleep Apnea Hypopnea Syndrome Using Fusion of Micro-motion Signals from Millimeter-wave Radar and Pulse Wave Data by Xiang ZHAO, Wei WANG, Chenyang LI, Jian GUAN, Gang LI

“…This study used a radar and pulse wave data preprocessing algorithm to extract time-frequency information and artificial features from the signals, balancing the accuracy and robustness of sleep-breathing abnormality event detection Additionally, a deep neural network was designed to fuse the two types of signals for precise identification of sleep apnea and hypopnea events, and to estimate the Apnea-Hypopnea Index (AHI) for quantitative assessment of sleep-breathing abnormality severity. …”
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Combining of the H/A/Alpha and Freeman–Durden Polarization Decomposition Methods for Soil Moisture Retrieval from Full-Polarization Radarsat-2 Data by Qiuxia Xie, Qingyan Meng, Linlin Zhang, Chunmei Wang, Qiao Wang, Shaohua Zhao

“…The satellite-evaluated SM contents were in broad agreement with data measured in situ. Our algorithm thus improves the accuracy of SM data retrieval from synthetic-aperture radar (SAR) images.…”
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A Sarsa(λ)-Based Control Model for Real-Time Traffic Light Coordination by Xiaoke Zhou, Fei Zhu, Quan Liu, Yuchen Fu, Wei Huang

“…Considering dynamic characteristics of the actual traffic environment, reinforcement learning algorithm based traffic control approach can be applied to get optimal scheduling policy. …”
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Postcholecystectomy syndrome: the modern approach: resolution of Advisory council by V. T. Ivashkin, A. V. Okhlobystin, D. S. Bordin, E. Ya. Seleznyova, Yu. A. Kucheryavy, Ye. V. Bystrovskaya, O. C. Vasnev, M. F. Osipenko, G. H. Musayev, Yu. O. Shulpekova

“…The Advisory council proposed algorithm for investigation and management of patients with postcholecystectomy syndrome (PCS). …”
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Forecasting O3 and NO2 concentrations with spatiotemporally continuous coverage in southeastern China using a Machine learning approach by Zeyue Li, Jianzhao Bi, Yang Liu, Xuefei Hu

“…In this research, we adopted a forecasting model that integrates the random forest algorithm with NASA’s Goddard Earth Observing System “Composing Forecasting” (GEOS-CF) product. …”
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Numerical Investigation of Performance Improvement and Erosion Characteristics of Vortex Pump Using Particle Model by Daoxing Ye, Hao Li, Qiuyan Ma, Qibiao Han, Xiulu Sun

“…The relationship between geometric factors of vortex pump and efficiency and erosion rate of blade was established using the kriging approximation model. The genetic algorithm solved the multiobjective optimization and obtained the Pareto front solution using NSGA-II. …”
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Hybrid multi‐level hardware Trojan detection platform for gate‐level netlists based on XGBoost by Ying Zhang, Sen Li, Xin Chen, Jiaqi Yao, Zhiming Mao, Jizhong Yang, Yifeng Hua

“…Abstract Coping with the problem of malicious third‐party vendors implanting Hardware Trojan (HT) in the circuit design stage, this paper proposes a hybrid‐mode gate‐level hardware Trojan detection platform based on the XGBoost algorithm. This detection platform is composed of multi‐level HT localization and circuit structure based HT detection. …”
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Differential Evolution-Based End-Fire Realized Gain Optimization of Active and Parasitic Arrays by Rozita Konstantinou, Ihsan Kanbaz, Okan Yurduseven, Michail Matthaiou

“…This multi-objective optimization, underpinned by the differential evolution (DE) algorithm, uses a simple wire dipole as the unit element. …”
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Mixing Data Cube Architecture and Geo-Object-Oriented Time Series Segmentation for Mapping Heterogeneous Landscapes by Michel E. D. Chaves, Lívia G. D. Soares, Gustavo H. V. Barros, Ana Letícia F. Pessoa, Ronaldo O. Elias, Ana Claudia Golzio, Katyanne V. Conceição, Flávio J. O. Morais

“…Results indicate that, by combining GEOBIA and time series analysis (materialized by the multiresolution segmentation algorithm to derive spatiotemporal geo-objects of the MODIS data cube), representative training data collected after a quality control process, and the Support Vector Machine to classify the ARD, the overall accuracy was 0.95 and all users’ and producers’ accuracies were higher than 0.88. …”
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WGAN-DL-IDS: An Efficient Framework for Intrusion Detection System Using WGAN, Random Forest, and Deep Learning Approaches by Shehla Gul, Sobia Arshad, Sanay Muhammad Umar Saeed, Adeel Akram, Muhammad Awais Azam

“…In our efficient and novel framework, we integrate an oversampling strategy that uses Generative Adversarial Networks (GANs) to overcome the difficulties introduced by imbalanced datasets, and we use the Random Forest (RF) importance algorithm to select a subset of features that best represent the dataset to reduce the dimensionality of a training dataset. …”
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Online Structural Health Monitoring and Parameter Estimation for Vibrating Active Cantilever Beams Using Low-Priced Microcontrollers by Gergely Takács, Ján Vachálek, Boris Rohal’-Ilkiv

“…A fault signal is generated upon its departure from a predetermined nominal tolerance band. The algorithm is implemented using automatically generated and deployed machine code on an electronics prototyping platform, featuring an economically feasible 8-bit microcontroller unit (MCU). …”
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An integrated modelling framework for optimization of the placement of grey-green-blue infrastructure to mitigate and adapt flood risk: An application to the Upper Ting River Water... by Jun Wu, Jiangang Xu, Muqiu Lu, Haolin Ming

“…Areas most suitable for GGBI construction are located along the Ting River, showing clear continuity and concentration in the central city and Xinqiao Town.（3）The optimized placement of GGBI, based on the SWMM model and non-dominated sorting genetic algorithm (NSGA-III), effectively reduces flood damage. …”
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A Novel Classification of Uncertain Stream Data using Ant Colony Optimization Based on Radial Basis Function by Tahsin Ali Mohammed Amin, Sabah Robitan Mahmood, Rebar Dara Mohammed, Pshtiwan Jabar Karim

“…The ant colony optimization algorithm is then used to train a recurrent neural network. …”
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Enhancing aboveground biomass estimation in Moso bamboo forests: the role of on-year and off-year phenomena in remote sensing by Nan Li, Nan Li, Nan Li, Mengyi Hu, Jingyi Xie, Linjia Wei, Tianzhen Wu, Wei Zhang, Wei Zhang, Wei Zhang, Shuangxi Gu, Shuangxi Gu, Shuangxi Gu, Longwei Li, Longwei Li, Longwei Li, Longwei Li

“…In this study, Sentinel-2 remote sensing imagery and plot survey data were selected, a novel change detection algorithm to assess plot level AGB dynamics between 2018 and 2019 was developed, a hierarchical classifier was proposed to map the spatial distributions of on-year and off-year MBFs, and a time series model was developed for estimating the AGB of MBFs to characterize AGB dynamics between November and December. …”
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Multi-modal integration of MRI and global chamber charge density mapping for the evaluation of atrial fibrillation by Alexander J. Sharp, Michael T. B. Pope, Andre Briosa e Gala, Richard Varini, Timothy R. Betts, Abhirup Banerjee

“…We apply the CDM inverse algorithm to both sets of reconstructions in order to compare derived conductions across various heart rhythms and AF conduction patterns. …”
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