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Genotyping Identification of Maize Based on Three-Dimensional Structural Phenotyping and Gaussian Fuzzy Clustering
Published 2025-01-01“…We then conducted a correlation analysis between the extracted phenotypic parameters of the maize tassel structure and the genotypes of the maize materials. The research results showed that the Gaussian Fuzzy Clustering algorithm was the optimal choice for clustering maize genotypes. …”
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4063
SMALL OBJECT DETECTION APPROACH BASED ON ENHANCED SINGLE-SHOT DETECTOR FOR DETECTION AND RECOGNITION OF INDONESIAN TRAFFIC SIGNS
Published 2024-10-01“…Addressing these challenges, this research proposes an enhanced version of the single shot detector (SSD) algorithm, commonly used in object detection, to improve the algorithm's ability to detect small objects. …”
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4064
Clear Cell Acanthoma/Pseudolymphoma: Clinical Dermatoscopic and Histological Correlation
Published 2019-04-01“…Content analysis, method of system and comparative analysis, bibliosemantic method of studying of relevant scientific research were used. …”
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4065
Development of multi-functional integrated design system for ship block lifting process
Published 2024-01-01Get full text
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4066
APPROACH TO IMAGE ANALYSIS FOR COMPUTER VISION SYSTEMS
Published 2020-03-01“…The experimental results were compared with similar results obtained by means of the algorithm based on neural networks algorithm on the same dataset by other researchers, as well as by the author of this paper earlier. …”
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4067
Power allocation of MIMO system with RF mismatch in TD-LTE power wireless private network
Published 2018-03-01“…With the development of smart distribution network,the power wireless private network using TD-LTE technology has gradually become a hot research topic.Among them,multiple-input multiple-output (MIMO) system is a key technology of TD-LTE power wireless private network.In TD-LTE,time-division duplex is often used to estimate channel information and perform appropriate power allocation to maximize the spectral efficiency of the communication system.However,due to the mismatch of radio frequency link,the complete uplink and downlink channels in the actual communication system can not achieve complete symmetry.The performance of MIMO system under radio frequency mismatch was analyzed and the suboptimal power allocation scheme was given.Combining with the approximate capacity expression,the spectral efficiency of the system under radio frequency mismatch and matching was analyzed.Simulation results show that compared with the optimal power allocation,the system capacity will suffer some loss due to the sub-optimal power allocation algorithm,but there is still some performance improvement compared with the equal power allocation algorithm,and does not require complicated calibration process.The realization of the operation proves the validity of the sub-optimal power allocation algorithm.…”
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4068
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4069
Securing Electrical Drive Systems Against Man-in-the-Middle Attacks Using S-Box Optimized AES Encryption
Published 2025-01-01Get full text
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4070
Seeking Mechanism Improvement of Optimum Prices for New Services in Long-Distance Trains through Use of Nonlinear-in-the-Parameter Analysis Models of Price Elasticity of Demand
Published 2015-08-01“…On the basis of the obtained results of the economic and mathematical models operation with the marketing information array there were investigated usage pattern and comparative performance of various type application-specific search algorithms of optimum parameters for the selected in the course of the investigation nonlinear model types while engaged in analyzing price elasticity of demand in the light of its specific character in the passenger railway transport environment.…”
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4071
A Survey on Fail-safe Motion Planning Methods for Autonomous Driving
Published 2021-01-01“…Compared with the classical motion planning algorithm, the fail-safe motion planning algorithm is committed to generating local motion trajectories that ensure the safety of passengers and vehicles as much as possible, and makes full use of the remaining automatic driving ability (perception, decision-making and control ability), so as to fully explore the potential and intelligent attributes of motion planning to make up or alleviate the possible faults of each module of the system. …”
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4072
Optimal nodes selection in wireless sensor and actor networks based on prioritized mutual exclusion approach
Published 2016-02-01“…We have proposed two algorithms, centralizedprioritized h-out-of-k mutual exclusion algorithm (CPMEA), and distributed prioritizedh-out-of-k mutual exclusion algorithm (DPMEA) in this research paper. …”
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4073
Prediction of Transformer Residual Flux Based on J-A Hysteresis Theory
Published 2025-03-01Get full text
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4074
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4075
Energy-Efficient Coverage of Rechargeable UAV Networks in Forest Scenarios
Published 2025-01-01“…The simulation proves that the proposed algorithm outperforms the compared algorithms.…”
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4076
A Deep Learning Based Analysis of the Big Five Personality Traits from Handwriting Samples Using Image Processing
Published 2020-12-01“…Testing our novel architecture on this dataset, we compare our algorithm based on various metrics, and show that our novel algorithm performs better than the baseline Machine Learning models.…”
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4077
Contrastive Study on Torque Distribution of Distributed Drive Electric Vehicle under Different Control Methods
Published 2017-01-01“…This paper uses certain hub motor distributed electric vehicle driving system as the research object, using several control strategies, such as dynamic programming global optimization algorithm, fuzzy control, and torque equal distribution and realizing the distribution control of the distributed power of the electric drive system. …”
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4078
Voice Activity Detection in Noisy Environments Based on Double-Combined Fourier Transform and Line Fitting
Published 2014-01-01Get full text
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4079
T‐depth reduction method for efficient SHA‐256 quantum circuit construction
Published 2023-01-01Get full text
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4080
Fuzzy Decision Tree Based on Fuzzy Rough Sets and Z-Number Rules
Published 2024-11-01“…Finally, the proposed decision tree algorithm is experimentally compared with other classifiers, and the results indicate that this algorithm demonstrates higher classification accuracy and a more concise tree structure when handling datasets containing fuzzy and uncertain factors. …”
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