Exact Quantum Algorithms for Quantum Phase Recognition: Renormalization Group and Error Correction by Ethan Lake, Shankar Balasubramanian, Soonwon Choi

“…We explore the relationship between renormalization-group (RG) flow and error correction by constructing quantum algorithms that exactly recognize one-dimensional symmetry-protected topological (SPT) phases protected by finite internal Abelian symmetries. …”
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Optimal azimuth positioning algorithm for base station antenna based on Gaussian distribution by Songbai LIANG, Feng CHEN, Haiping SONG, Wensheng LI

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Algorithm for Cloud Particle Phase Identification Based on Bayesian Random Forest Method by Fu Tao, Yang Zhipeng, Tao Fa, Hu Shuzhen, Lu Yuxiang, Fu Changqing

“…Millimeter-wave cloud radar is widely used for identifying phase states of cloud particles due to its ability to detect internal cloud structures and microphysical characteristics. …”
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A Novel Complex Networks Clustering Algorithm Based on the Core Influence of Nodes by Chao Tong, Jianwei Niu, Bin Dai, Zhongyu Xie

“…The clustering process is a simulation of the process of cluster formation in sociology. The algorithm detects the nodes with core influence through their betweenness centrality, and builds the cluster’s core structure by discriminant functions. …”
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Reconstruction of defects in elastic bodies by combination of genetic algorithm and finite element method by Arkady N Solovyev, Mikhail Y. Shevtsov

“…The results demonstrate adequacy of the additional information to overcome the problem ill-posedness, as well as high efficiency of the proposed algorithm both in accuracy of detecting defects parameters, and in their search speed.…”
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Integrating evolutionary algorithms and enhanced-YOLOv8 + for comprehensive apple ripeness prediction by Yuchi Li, Zhigao Wang, Aiwei Yang, Xiaoqi Yu

“…For structured text data, support vector regression (SVR) models optimized using the Whale Optimization Algorithm (WOA), Grey Wolf Optimizer (GWO), and Sparrow Search Algorithm (SSA) were utilized to predict apple ripeness, with the WOA-optimized SVR demonstrating exceptional generalization capabilities. …”
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An Algorithm for Mining the Living Habits of Elderly People Living Alone Based on AIoT by Jiaxuan Wu, Yuxin Lu, Yueqiu Jiang

“…By leveraging environmental sensor data, the algorithm first classifies daily activities and then uses timestamps to detect time-sensitive dependencies in behavior sequences, identifying the long-term habits of the elderly. …”
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Adaptive Estimation Algorithm for Photoplethysmographic Heart Rate Based on Finite State Machine by Ting Lan, Yanan Bie, Dong Hai, Jun Zhong

“…The algorithm first applies band-pass filtering to the PPG and three-axis acceleration signals. …”
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Model Predictive Control Algorithm for Converter Based on a Convolutional Neural Network by Kun Shen, Mengyao Wu, Rongbin Chen

“…In the finite control set model predictive control (FCSMPC) algorithm for a converter based on a neural network, the optimal control variables computed by neural network controllers achieve decoupling between the optimal FCSMPC algorithm design and online computational burden. …”
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A Node Generation and Refinement Algorithm in Meshless RPIM for Electromagnetic Analysis of Sensors by Zihao Li, Siguang An, Guoping Zou, Jianqiang Han

“…These analyses help designers understand how sensors detect and respond to external signals during operation. …”
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Music genre classification with parallel convolutional neural networks and capuchin search algorithm by Yuxin Zhang, Teng Li

“…To do this, each model’s hyperparameters are generated using the capuchin search algorithm (CapSA). Preprocessing the original signals, feature description utilizing DWT, MFCC, and STFT signal matrices, CNN model optimization to extract signal features, and music genre identification based on combined features make up the four main components of the technique. …”
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Optical Fiber Vibration Signal Recognition Based on the EMD Algorithm and CNN-LSTM by Kun Li, Yao Zhen, Peng Li, Xinyue Hu, Lixia Yang

“…First, the EMD algorithm decomposes the collected original optical fiber vibration signal into several intrinsic mode functions (IMFs), and the correlation coefficient between each IMF and the original signal is calculated. …”
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Research on the Visual SLAM Algorithm for Unmanned Surface Vehicles in Nearshore Dynamic Scenarios by Yanran Zhang, Lan Zhang, Qiang Yu, Bowen Xing

“…To address the challenges of visual SLAM algorithms in unmanned surface vehicles (USVs) during nearshore navigation or docking, where dynamic feature points degrade localization accuracy and dynamic objects impede static dense mapping, this study proposes an improved visual SLAM algorithm that removes dynamic feature points. …”
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Development of a Fault Prediction Algorithm for Marine Propulsion Energy Storage System by Jaehoon Lee, Sang-Kyun Park, Salim Abdullah Bazher, Daewon Seo

“…Additionally, a recursive multi-step prediction model is developed to anticipate long-term battery performance trends. The proposed algorithm effectively detects voltage deviations and pre-emptively predicts battery failures, mitigating fire hazards and ensuring operational stability. …”
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Combination of Artificial Neural Network and Particle Swarm Intelligence Algorithm for Diagnosing Diabetes by Cillian Thompson, Oscar Higgins

“…In this study, in order to discover hidden patterns and diagnose diabetes, a particle swarm intelligence algorithm has been used along with a neural network to increase the accuracy of diabetes diagnosis. …”
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Algorithm for Processing Measurements of External Respiration Parameters Using Motion Capture Systems by A. V. Drozdova, A. N. Tkachenko, E. M. Skrebova, I. A. Sakun

“…Development of an algorithm for optimal body position and best marker locations for determining breathing parameters. …”
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Vehicle maneuver recognition and correction algorithm for road quality measurement system optimization by Roland Nagy, István Szalai

“…We introduce a novel, computationally efficient soft-sensor algorithm that detects and isolates aggressive maneuvers using sensor data from existing road quality measurement systems, classifying them into four categories. …”
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Using the Deep Learning Algorithm to Determine the Presence of Sacroiliitis from Pelvic Radiographs by Ming Xing Wang, Jeoung Kun Kim, Donghwi Park, Min Cheol Chang

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Improving the segmentation of the vertebrae using a multi-stage machine learning algorithm by Vladyslav Koniukhov

“…Diagnosis of diseases with the help of X-rays is the most popular and cheapest option for patients to detect pathologies and diseases. The subjects of this article are algorithms for the segmentation of X-ray images of various qualities. …”
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Algorithm for Recognition of Small Air Targets by Trajectory Features in Passive Bistatic Radar by Dao Van Luc, A. A. Konovalov, Le Minh Hoang

“…This paper presents an algorithm for recognizing air targets based onartificial intelligence technology. …”
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