Analysis of signals from air conditioner compressors with ordinal patterns and machine learning by Keila Barbosa, Alejandro C Frery, George DC Cavalcanti

“…Furthermore, we incorporate machine learning algorithms, such as Artificial Neural Networks, Support Vector Machines, and Decision Trees, to evaluate and validate the effectiveness of Ordinal Patterns as discriminative features. …”
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Contemporaneous symptom networks for multidimensional symptom experience in lung cancer survivors of immunotherapy: A network analysis. by Hang Gao, Xiaoxue Wen, Xiaoli Sun, Yuwei Liu, Jianwen Hou, Danwen Zheng, Hejia Chen, Lingfang Ma, Yufang Zhou, Xinyan Yu

“…<h4>Background</h4>Immunotherapy dramatically increases patient survival and radically changes the way lung cancer is treated. Through intricate network analysis of disease-related symptoms, symptom networks are able to statistically analyze and depict the links between different symptoms. …”
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Myoelectric signal and machine learning computing in gait pattern recognition for flat fall prediction by Shuo Zhang, Biao Chen, Chaoyang Chen, Maximillian Hovorka, Jin Qi, Jie Hu, Gui Yin, Marie Acosta, Ruby Bautista, Hussein F. Darwiche, Bryan E. Little, Carlos Palacio, John Hovorka

“…Most ML algorithms in this study had an accuracy greater than 90 ​% in EMG-based abnormal gait pattern recognition except for LSTM and BiLSTM. This study provides novel technology for evaluation of gait pattern recognition related to flat ground fall.…”
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Impact of agricultural industry transformation based on deep learning model evaluation and metaheuristic algorithms under dual carbon strategy by Xuan Zhao, Weiyun Tang, Qiuyan Liu, Hongtao Cao, Fei Chen

“…A hybrid deep learning model—combining Convolutional Neural Networks and Long Short-Term Memory networks—is developed to evaluate the effects of agricultural industry transformation. …”
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Strategies for Construction and Optimization of the Ecological Security Pattern for Human Settlements in the Wuding River Basin by Xiaomeng WANG, Anrong DANG, Biao TONG, Xinyi LIU

“…These corridors serve to link ecological source areas, thereby creating a networked spatial structure that follows a distinct pattern: Denser in the north and sparser in the south. …”
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A Study on the Effects of Embodied and Cognitive Interventions on Adolescents’ Flow Experience and Cognitive Patterns by Chujie Liang, Jiahao Zhi, Cong Su, Weichun Xue, Zixi Liu, Haosheng Ye

“…ENA revealed that the Embodied Group developed stronger body-environment interaction patterns, shifting cognition pattern from psychological evaluations to dynamic bodily processes over time. …”
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Differences of interference myogram patterns from forearm muscles at different variants of the hand grip by E. A. Eliseichev, A. A. Tyaptin, R. M. Zhilin, P. S. Vorobyev, I. S. Blinov

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Optimized Energy Consumption of Electric Vehicles with Driving Pattern Recognition for Real Driving Scenarios by Bedatri Moulik, Sanmukh Kaur, Muhammad Ijaz

“…In the approach, first, labels are defined based on statistical features related to speed followed by the creation of representative driving patterns (RDPs). A neural network-based classifier is then employed for classification into six classes based on four features. …”
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Bibliometric analysis of ecological security pattern construction: Current status, evolution, and development trends by Rui Shu, Guoqing Ma, Yebin Zou, Na Guo, Huizhe Su, Guiqing Zhang

“…The study’s main themes encompass ecological security, ecosystem services, conservation planning, urban growth boundaries, ecological corridors, ecological networks, and green infrastructure. The study elucidates research progress and gaps through a closed-loop construction process of ecological security assessment—source identification—corridor extraction—effectiveness evaluation. …”
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Big Data Analytics for Uncovering Voxel Connectivity Patterns in Attention Deficit Hyperactivity Disorder by Caraka RE, Supardi K, Gio PU, Isnaniawardhani V, Chen RC, Djatmiko B, Pardamean B

“…Feature selection was performed using Boruta, Random Forest in combination with DALEX explainability tools, and Neural Networks. Dimensionality reduction and clustering techniques including Principal Component Analysis (PCA), KMeans, and MCLUST were used to explore underlying voxel patterns. …”
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Enhancing medical image classification via federated learning and pre-trained model by Parvathaneni Naga Srinivasu, G. Jaya Lakshmi, Sujatha Canavoy Narahari, Jana Shafi, Jaeyoung Choi, Muhammad Fazal Ijaz

“…The Convolutional Neural Network (CNN) model with Gray-Level Co-occurrence Matrix (GLCM) and Local Binary Patterns (LBP), along with the EfficientNet model, are being used as the local models. …”
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Experimental study of settlement and migration patterns of proppant in long narrow fractures in deep shale by LIU Haoqi, CHEN Fuhong, YU Zhili, GONG Wei, LUO Xi, LIN Hun

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Factors Affecting Public Education for Improving the Pattern of Drug Use: A Qualitative study by Leila Safaeian

“…The interviews were evaluated descriptively by continuous comparison and content analysis method using coding after the implementation. …”
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Research Patterns in Formative Assessment: A Bibliometric Review of Primary and Secondary School Studies by Sheikh Abu Toha Md Saky, Nurul Latifatul Inayati, Md Nurul Islam

“…Key metrics such as keyword co-occurrence, thematic clusters, and global collaboration networks were evaluated to identify prevailing research trends and gaps. …”
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Integrating mining district data into ecological security pattern identification: a case study of Chenzhou by Jiawei Hui, Yongsheng Cheng

“…Abstract Resource-intensive cities face significant ecological challenges due to mining activities, which degrade landscapes, pollute ecosystems, and disrupt ecological security patterns. This study proposes a process for identifying ecological security patterns (ESP) in mining cities, integrating landscape risk assessment, remote sensing ecological quality evaluation, and mining district spatial data. …”
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Spatial Identification and Distribution Pattern of the Complexity of Rural Poverty in China Using Multisource Spatial Data by Zhenyu Qi, Jinghu Pan, Yaya Feng

“…This paper takes China’s counties as the research unit, selects the influencing factors of poverty from natural and socio-economic factors, establishes an evaluation index system, simulates the natural poverty index and socio-economic poverty eradication index of each county, and clarifies the distribution characteristics of spatial poverty using GIS spatial analysis and BP artificial neural network. …”
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Identifying priority restoration areas based on ecological security pattern: implications for ecological restoration planning by Yingying Li, Min Wei, Rui Zhou, Huan Jin, Yongsheng Chen, Changjin Hong, Wenting Duan, Qiuyue Li

“…Taking the region around Chaohu Lake as an example, this study combined morphological spatial pattern analysis (MSPA), ecosystem service value (ESV) evaluation and circuit theory to construct ecological security pattern and identify the priority ecological restoration areas. …”
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Intelligent anti-jamming decision algorithm of bivariate frequency hopping pattern based on ET-PPO by Yibo CHEN, Zhijin ZHAO

“…In order to further improve its anti-interference ability in complex electromagnetic environment, a PPO algorithm based on weighted importance sampling and eligibility traces (ET-PPO) was proposed.On the basis of the traditional frequency hopping pattern, time-varying parameters were introduced, and the bivariate frequency hopping pattern decision problem was modeled as a Markov decision problem through the construction of the state-action-reward triple.Aiming at the high variance problem of the sample update method of an actor network of the PPO algorithm, weighted importance sampling was introduced to reduce the variance, and the action selection strategy of Beta distribution was used to enhance the stability of the learning stage.Aiming at the problem of slow convergence speed of the evaluator network, the eligibility trace method was introduced, which better balanced the convergence speed and the global optimal solution.The algorithm comparison simulation results in different electromagnetic interference environments show that ET-PPO has better adaptability and stability, and has better performance against obstruction interference and sweep frequency interference.…”
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Hybrid Dynamic Network Data Envelopment Analysis by Ling Li, Fengshan Wang

“…We vertically deal with intermediate products between divisions with assignable inputs in the network structure and, horizontally, we extend network structure by means of a dynamic pattern with unrelated activities between two succeeding periods. …”
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A GIS Partial Discharge Pattern Recognition Method Based on Improved CBAM-ResNet by Di Hu, Zhong Chen, Wei Yang, Taiyun Zhu, Yanguo Ke, Kaiyang Yin

“…Different types of partial discharge (PD) cause different damages to gas-insulated substation (GIS), so it is very important to correctly identify the type of PD for evaluating the GIS insulation condition. The traditional PD pattern recognition algorithm has the limitations of low recognition accuracy and slow recognition speed in engineering applications. …”
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