Comparative study of quantum error correction strategies for the heavy-hexagonal lattice by César Benito, Esperanza López, Borja Peropadre, Alejandro Bermudez

“…Topological quantum error correction is a milestone in the scaling roadmap of quantum computers, which targets circuits with trillions of gates that would allow running quantum algorithms for real-world problems. The square-lattice surface code has become the workhorse to address this challenge, as it poses milder requirements on current devices both in terms of required error rates and small local connectivities. …”
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Knowledge Integration and Analysis of Technological Innovation in Prefabricated Construction by Yudan Dou, Xiaoxue Fu, Tianxin Li

“…Specifically, using patent data from the past five years, and grounded in knowledge management and complex network theories, this study employs text mining, topic modeling, and association rule algorithms to perform clustering, evolutionary, and association analyses. …”
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Implicit Pilots for an Efficient Channel Estimation in Simplified Massive MIMO Schemes with Precoding by Mário Marques da Silva, Rui Dinis, João Guerreiro

“…Three different types of preprocessing algorithms are considered in this paper: Zero-Forcing Transmitter (ZFT), Maximum Ratio Transmitter (MRT), and Equal Gain Transmitter (EGT). …”
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Nonlinear connectedness of conventional crypto-assets and sustainable crypto-assets with climate change: A complex systems modelling approach. by Mushtaq Hussain Khan, Shreya Macherla, Angesh Anupam

“…However, further improvements in sustainable crypto-assets through technological advances are required to develop more energy-efficient decentralised finance consensus algorithms, with the aim of reshaping the cryptocurrency ecosystem into an environmentally sustainable market.…”
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Secure and Privacy Enhanced Gait Authentication on Smart Phone by Thang Hoang, Deokjai Choi

“…These traditional systems are mostly based on pattern recognition and machine learning algorithms, wherein original biometric templates or extracted features are stored under unconcealed form for performing matching with a new biometric sample in the authentication phase. …”
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Finding p-Hub Median Locations: An Empirical Study on Problems and Solution Techniques by Xiaoqian Sun, Weibin Dai, Yu Zhang, Sebastian Wandelt

“…Classical problems in small networks can be solved efficiently using CPLEX because of their low complexity. Genetic algorithms perform well for solving three types of single allocation problems, since the problem formulations can be neatly encoded with chromosomes of reasonable size. …”
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Heavy-Duty Vehicle Braking Stability Control and HIL Verification for Improving Traffic Safety by Fahui Wang, Yongjie Lu, Haoyu Li

“…Finally, the actual control effect and feasibility of these control algorithms for heavy vehicle braking under special road conditions are verified by HIL experiments. …”
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Reinforcement Learning with Probabilistic Boolean Network Models of Smart Grid Devices by Pedro Juan Rivera Torres, Carlos Gershenson García, María Fernanda Sánchez Puig, Samir Kanaan Izquierdo

“…Correct system operation involves those activities and novel methodologies to detect, classify, and isolate faults and failures and model and simulate processes with predictive algorithms and analytics (using data analysis and asset condition to plan and perform activities). …”
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Dataset for developing deep learning models to assess crack width and self-healing progress in concrete by Jacek Jakubowski, Kamil Tomczak

“…The considerable number of brightness profiles coupled with manual reference measurements make the dataset well suited for developing an image-based deep CNN models or analytic algorithms for assessing crack widths in concrete. The technical validation study explored three factors that affect crack measurement: the specimen position in relation to the scanner, the surface moisture level, and the operator performing manual measurements.…”
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Simulation Optimization for the Multihoist Scheduling Problem by Ricardo Pérez-Rodríguez

“…In addition, the optimization approach is able to identify the best solutions by a distance-based ranking model and the solutions located in the first Pareto-front layer contributes to improve the search process of the aforementioned scheme, against other algorithms used in the comparison.…”
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Solar Energy Validation for Strategic Investment Planning via Comparative Data Mining Methods: An Expanded Example within the Cities of Turkey by Oya H. Yuregir, Cagri Sagiroglu

“…Here, we aim to see the success level of the chosen algorithms in validation process simultaneously with the utilized software. …”
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Performance Analysis in DF Energy Harvesting Full-Duplex Relaying Network with MRC and SC at the Receiver under Impact of Eavesdropper by Phu Tran Tin, Van-Duc Phan, Dong Si Thien Chau, Tan N. Nguyen, Phu X. Nguyen

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Selection and evaluation of reference genes for qRT-PCR in Inonotus obliquus by Lulu Li, Xiaofan Guo, Shouming Wang

“…Subsequently, we applied GeNorm, NormFinder, and BestKeeper algorithms to evaluate the expression stability of these 11 reference genes. …”
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Rapid and Nondestructive Detection of Proline in Serum Using Near-Infrared Spectroscopy and Partial Least Squares by Kejing Zhu, Shengsheng Zhang, Keyu Yue, Yaming Zuo, Yulin Niu, Qing Wu, Wei Pan

“…We collected blood samples from clinical sources, separated the serum, established a quantitative model, and determined the changes in proline. Four algorithms of SMLR, PLS, iPLS, and SA were used to model proline in serum. …”
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Biframes and some of their properties by Maryam Firouzi Parizi, Azadeh Alijani, Mohammad Ali Dehghan

“…Abstract Recently, frame multipliers, pair frames, and controlled frames have been investigated to improve the numerical efficiency of iterative algorithms for inverting the frame operator and other applications of frames. …”
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Diabetes Technology: Markers, Monitoring, Assessment, and Control of Blood Glucose Fluctuations in Diabetes by Boris P. Kovatchev

“…Diabetes technology has progressed remarkably over the past 50 years—a progress that includes the development of markers for diabetes control, sophisticated monitoring techniques, mathematical models, assessment procedures, and control algorithms. Continuous glucose monitoring (CGM) was introduced in 1999 and has evolved from means for retroactive review of blood glucose profiles to versatile reliable devices, which monitor the course of glucose fluctuations in real time and provide interactive feedback to the patient. …”
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Planning of production capacities of a high-tech enterprise based on the mathematical model of the Pontryagin maximum by A. A. Sazonov

“…The author tested the algorithms, models and methods proposed in the article at a research and production enterprise engaged in the production of high-tech products. …”
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Identifying factors that contribute to collision avoidance behaviours while walking in a natural environment by Mohammadamin Nikmanesh, Michael E. Cinelli, Daniel S. Marigold

“…We leveraged deep learning algorithms to identify and extract pedestrian walking trajectories and had unbiased raters characterize situations where two pedestrians approached each other from opposite ends. …”
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Detection and location of EEG events using deep learning visual inspection. by Mohammad Amin Fraiwan

“…Several object detection algorithms (i.e., Faster R-CNN, YOLOv4, and YOLOX) and multiple backbone CNN architectures were evaluated under a wide range of conditions, revealing their true representative performance. …”
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Finite-Horizon Robust Kalman Filter for Uncertain Attitude Estimation System with Star Sensor Measurement Delays by Hua-Ming Qian, Wei Huang, Biao Liu

“…Compared with traditional attitude estimation algorithms, the designed robust filter takes into account the effects of star sensor measurement delays and model uncertainties. …”
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