Hybrid Dual-Link Data Transmission Based on Internet of Vessels by Fei Li, Ying Guo, Ziqi Wang, Yuhang Chen, Jingyun Gu

“…Additionally, a spatial crowdsourcing allocation algorithm based on Bayesian reputation selection is designed to assess the capability of ships to complete tasks, and an integrated scoring function is used to select the optimal relay ship, solving the problems of relay ship selection and transmission path selection in the data transmission process. …”
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Criminal Trajectory Reconstruction Method Based on a Mobile Reference System by Zhengyan Ding, Yan Lin, Xin Wei Li, Cheng Rui Gu, Qi Yan Ying

“…Based on this reference system, an improved heuristic algorithm balances anchor point transition probabilities and travel distance to identify the optimal sequence of anchor points, filling in the gaps between sparse location points. …”
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Research on Adaptive Identification Technology for Rolling Bearing Performance Degradation Based on Vibration–Temperature Fusion by Zhenghui Li, Lixia Ying, Liwei Zhan, Shi Zhuo, Hui Li, Xiaofeng Bai

“…First, a multidimensional time–frequency feature set was constructed by integrating vibration acceleration and temperature signals. …”
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Comparison of Machine Learning and Classic Methods on Aerodynamic Modeling and Control Law Design for a Pitching Airfoil by Lang Yan, Xinghua Chang, Nianhua Wang, Laiping Zhang, Wei Liu, Xiaogang Deng

“…Based on the evaluation, the proportional-integral-derivative (PID) control algorithm is used to design the airfoil pitching control law using the MNR model. …”
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Machine learning prediction model with shap interpretation for chronic bronchitis risk assessment based on heavy metal exposure: a nationally representative study by Tiansheng Xia, Kaiyu Han

“…The aim of this study was to construct the first heavy metal exposure-chronic bronchitis risk prediction model by integrating exposureomics data through machine learning (ML). …”
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Optimizing the dynamic treatment regime of outpatient rehabilitation in patients with knee osteoarthritis using reinforcement learning by Sijia Liu, Jiawei Luo, Chengqi He

“…Then, based on the key features screened out, a dynamic treatment recommendation system was constructed by using deep reinforcement learning algorithms, including Deep Deterministic Policy Gradien(DDPG), Deep Q-Network(DQN) and Batch-Constrained Q-learning(BCQ). …”
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Maritime Traffic Knowledge Discovery via Knowledge Graph Theory by Shibo Li, Jiajun Xu, Xinqiang Chen, Yajie Zhang, Yiwen Zheng, Octavian Postolache

“…Furthermore, the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) clustering algorithm is employed to identify suitable docking berths. …”
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An NN Framework for Target Number Detection in FMCW Radar Systems via Hankelization: A Low-Dimensional Data Representation Perspective by Jung-Hwan Kim, Gyung-Eun Kim, Woong-Hee Lee

“…By integrating the mathematical processes of Hankelization and singular value extraction, we can perform input data manipulation for effective target number detection, resulting in constructing an efficient NN framework. …”
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An improved hybrid policy optimization method for economic-preference dispatch considering cross time-scales collaboration by Qianli Zhang, Hao Tang, Duanchao Li

“…In this paper, we present an improved DRL algorithm, called distributed partial-modulation proximal policy optimization (DPMPPO), to address this issue. …”
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Fault Diagnosis and Tolerant Control of Current Sensors Zero-Offset Fault in Multiphase Brushless DC Motors Utilizing Current Signals by Wei Chen, Zhiqi Liu, Zhiqiang Wang, Chen Li

“…Different from traditional solutions that rely on hardware redundancy or precise modeling, this method constructs a dual-channel fault diagnosis framework by integrating the steady-state amplitude offset of the phase current after the fault and the abnormal characteristics of dynamic sector switching. …”
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Non-covalent interaction of boron and nitrogen atoms by A.A. Sokurov, S.S. Rekhviashvili

“…An original numerical algorithm based on the use of quadrature formulas and CUDA computing parallelization technology is used to calculate improper integrals. …”

Node importance ranking for influence maximization in social networks by Wenjing Yang, Qing Liu, Wei Zhang

“…To address these problems, this paper proposes a multi-attributes node importance ranking algorithm based on entropy and analytic hierarchy process, which integrates degree centrality, K-shell values based on location, and PageRank values from random walks. …”
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Neuroscience-informed nomogram model for early prediction of cognitive impairment in Parkinson's disease by Sudharshan Putha, Swaroop Reddy Gayam, Bhavani Prasad Kasaraneni, Krishna Kanth Kondapaka, Sateesh Kumar Nallamala, Praveen Thuniki

“…The least absolute shrinkage and selection operator (LASSO) algorithm was applied to identify highly correlated clinical variables influencing cognitive function. …”
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Multiple programmed cell death patterns predict the prognosis and drug sensitivity in gastric cancer by Qiying Song, Shihe Liu, Di Wu, Aizhen Cai

“…By integrating PCDS with clinical characteristics, we constructed and validated a nomogram that demonstrated robust predictive performance.ResultsWe screened nine PCD-related genes (SERPINE1, PLPPR4, CDO1, MID2, NOX4, DYNC1I1, PDK4, MYB, TUBB2A) to create the PCDS. …”
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Risk identification and assessment of Internet public opinion on public emergencies based on Bayesian network and association rule mining by Mengjie You, Xuwei Pan, Chuwen Zhu

“…This paper innovatively proposes an Internet public opinion risk identification and assessment method for public emergencies, integrating association rule mining with Bayesian network (BN). …”
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Flexi-YOLO: A lightweight method for road crack detection in complex environments. by Jiexiang Yang, Renjie Tian, Zexing Zhou, Xingyue Tan, Pingyang He

“…A Global Attention Module (GAM) is integrated to improve the model's perception of global information. …”
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Application of Reinforcement Learning in Controlling Quadrotor UAV Flight Actions by Shang-En Shen, Yi-Cheng Huang

“…The simulation environment is constructed using AirSim and Unreal Engine, with onboard camera footage serving as the state input for reinforcement learning. …”
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Multi-Party Controlled Semi-Quantum Dialogue Protocol Based on Hyperentangled Bell States by Meng-Na Zhao, Ri-Gui Zhou, Yun-Hao Feng

“…The classical participant Bob uses an adaptive Huffman compression algorithm to provide a framework for information transmission. …”
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Research on Wearable Devices for Pedestrian Navigation Based on the Informer Model Zero-Velocity Update Architecture by Shuai Zhang, Haotian Gao, Fushengong Yang

“…During the experimental process, a Kalman filter model was constructed to achieve zero-velocity updating of the pedestrian’s motion trajectory. …”
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The use of higher aquatic vegetation for airports wastewater final purification by N. E. Nikolaykina, N. I. Nikolaykin

“…It is proposed to recycle the used biomass for commercial purposes as a livestock fodder additive under the certain conditions that have been defined. The algorithm of preserving seedlings in the cold season and their subsequent planting in water reservoirs in spring is discussed. …”
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