Research on Temperature Prediction of EMU Transformer Based onMultiple Nonlinear Regression by YAN Youjun

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Improved Method of Interval valued neutrosophic matrix composition and Its Application in Medical Diagnosis by S. Sathiya, A. Puspalatha

“…Interval valued neutrosophic (IVN) matrix plays an influential role in decision making problems with indeterminant and inconsistent information. …”
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A novel canopy water indicator for UAV imaging to monitor winter wheat water status by Meiyan Shu, Zhenghang Ge, Yang Li, Jibo Yue, Wei Guo, Yuanyuan Fu, Ping Dong, Hongbo Qiao, Xiaohe Gu

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Detection of Semidetached Eclipsing Binaries from TESS by Xu Ding, KaiFan Ji, QiYuan Cheng, ZhiMing Song, JinLiang Wang, XueFen Tian, ChuanJun Wang

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A Synergy Between Machine Learning and Formal Concept Analysis for Crowd Detection by Anas M. Al-Oraiqat, Oleksandr Drieiev, Sattam Almatarneh, Mohammadnoor Injadat, Karim A. Al-Oraiqat, Hanna Drieieva, Yassin M. Y. Hasan

“…These latter’s hierarchical view helped us identify the crowded areas and manage them as clustered zones, based on their common crowd information. We also define bottom-up parsing algorithms to recommend the suitable crowd prevention plan w.r.t. the crowd level. …”
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Distributed Temperature/Vibration Fiber Optic Sensor With High Precision and Wide Bandwidth by Tao He, Yanli Ran, Tao Liu, Hao Li, Cunzheng Fan, Wei Zhou, Zhijun Yan, Deming Liu, Qizhen Sun

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SC-Route: A Scalable Cross-Layer Secure Routing Method for Multi-Hop Inter-Domain Wireless Networks by Yanbing Li, Yang Zhu, Shangpeng Wang

“…Multi-hop inter-domain wireless networks play a vital role in future heterogeneous communication systems by improving data transmission efficiency and security assurance. …”
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Non-Invasive Multivariate Prediction of Human Thermal Comfort Based on Facial Temperatures and Thermal Adaptive Action Recognition by Kangji Li, Fukang Liu, Yanpei Luo, Mushtaque Ali Khoso

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OLAP Techniques for Approximation and Mining Query Answering by Murtadaha Hamd, Waleed Hassan

“…Data warehouse (DW) systems have become a key component of the corporate information system architecture, in which they play a crucial role in building business decision support systems by collecting and consolidating data from a variety of internal and external sources. …”
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A statistical method for high-throughput emergence rate calculation for soybean breeding plots based on field phenotypic characteristics by Yan Sun, Mengqi Li, Meiling Liu, Jingyi Zhang, Yingli Cao, Xue Ao

“…Firstly, a combined background segmentation method based on contrast enhancement filtering combined with ultra-green eigenvalues and the Otsu algorithm was proposed to remove the complex background in remote sensing images and retain the morphological information of soybean seedlings. …”
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Reconstructing ice phenology of a lake with complex surface cover: a case study of Lake Ulansu during 1941–2023 by P. Huo, P. Lu, B. Cheng, M. Yu, Q. Wang, X. Li, Z. Li

“…<p>Lake ice phenology plays a critical role in determining the hydrological and biogeochemical dynamics of catchments and regional climates. …”
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A Cooperative GNSS Vector-DLL (CoVDLL) Method for Multiple UAVs Positioning by Chuntao Li, Xinru Wang, Changhui Jiang, Zikang Su, Shoubin Chen, Yuwei Chen

“…Currently, the Global Navigation Satellite System (GNSS) plays a critical role in providing position information for UAVs. …”
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Minutiae Matching with Privacy Protection Based on the Combination of Garbled Circuit and Homomorphic Encryption by Mengxing Li, Quan Feng, Jian Zhao, Mei Yang, Lijun Kang, Lili Wu

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PRCFX-DT: a new graph-based approach for feature selection and classification of genomic sequences by Amin Khodaei, Sania Eskandari, Hadi Sharifi, Behzad Mozaffari-Tazehkand

“…The proposed approach, which relies on the PageRank centrality algorithm, operates on codons that are associated with the nucleotide sequences. …”
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Deep-m6Am: a deep learning model for identifying N6, 2′-O-Dimethyladenosine (m6Am) sites using hybrid features by Islam Uddin, Salman A. AlQahtani, Sumaiya Noor, Salman Khan

“…To enhance computational efficiency and eliminate noisy or redundant features, a supervised SHAP (SHapley Additive exPlanations) algorithm is utilized, ensuring the selection of the most informative features. …”
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Optimal Scheduling of Biomass-Hybrid Microgrids with Energy Storage: An LSTM-PMOEVO Framework for Uncertain Environments by Zichong Wang, Yingying Zheng

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Bayesian Analysis Enhances Sales and Warranty Strategies for Repairable Industrial Products by Considering Hybrid Deterioration Modes by Chih-Chiang Fang, Liping Ma, Wenfeng Kuo

“…A mathematical model, along with a solution algorithm, has been developed to assist manufacturers in making informed decisions regarding pricing, production, and warranty strategies. …”
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Residual Lifetime Prediction with Multistage Stochastic Degradation for Equipment by Zhan Gao, Qi-guo Hu, Xiang-yang Xu

“…Residual useful lifetime (RUL) prediction plays a key role of failure prediction and health management (PHM) in equipment. …”
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Clinical Phenotype Identification and Validation of Patients with Sepsis in the Intensive Care Unit by GONG Chao, YU Na, CHEN Haoran

“…ObjectiveTo identify and validate the clinical phenotypes of patients with sepsis in the intensive care unit(ICU).MethodsWe applied unsupervised machine learning algorithms (K-means clusteringand hierarchical clustering) to identify the phenotypes of sepsis patients in the Medical Information Mart for Intensive Care Ⅳ (MIMIC-Ⅳ) 2.2 database, based on 89 clinical features including demographic characteristics, laboratory indicators and treatment measures on the first day in ICU. …”
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Attractive Visuality Generation Within the 360˚-VR Video Format as a Technological Trend in Modern Film Production by Ігор Печеранський

“…It leads to the synthesis between cinematograph and theatre when the transition is occurring from montage sequence to virtual-theatrical play where in consequence of 360˚-VR the action has been developing constantly, and the viewer is in the very centre of the events. …”
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